[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-fc8e9df3a4af179f-contract2tool-improving-llm-agent-reliability-via-summary":3,"summaries-facets-categories":93,"summary-related-fc8e9df3a4af179f-contract2tool-improving-llm-agent-reliability-via-summary":4568},{"id":4,"title":5,"ai":6,"body":13,"categories":58,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":63,"navigation":76,"path":77,"published_at":78,"question":60,"scraped_at":78,"seo":79,"sitemap":80,"source_id":81,"source_name":82,"source_type":83,"source_url":69,"stem":84,"tags":85,"thumbnail_url":60,"tldr":90,"tweet":60,"unknown_tags":91,"__hash__":92},"summaries\u002Fsummaries\u002Ffc8e9df3a4af179f-contract2tool-improving-llm-agent-reliability-via-summary.md","Contract2Tool: Improving LLM Agent Reliability via Formal Contracts",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4064,510,3408,0.001781,{"type":14,"value":15,"toc":52},"minimark",[16,21,25,29,32,49],[17,18,20],"h2",{"id":19},"the-reliability-gap-in-tool-augmented-agents","The Reliability Gap in Tool-Augmented Agents",[22,23,24],"p",{},"Modern LLM agents often struggle with tool selection and execution because they lack a formal understanding of the operational requirements for the tools they use. When an agent treats a tool as a black box, it frequently fails to satisfy necessary preconditions (e.g., required input formats, state dependencies) or misinterprets the side effects of an action. Contract2Tool addresses this by introducing a framework that learns and enforces formal 'contracts'—preconditions and effects—for each tool, ensuring that the agent only invokes functions when it is safe and logical to do so.",[17,26,28],{"id":27},"learning-and-enforcing-operational-contracts","Learning and Enforcing Operational Contracts",[22,30,31],{},"The core of the Contract2Tool approach is the transition from implicit prompt-based tool descriptions to explicit, learned constraints. By analyzing historical execution data and tool documentation, the system derives a structured contract for each tool.",[33,34,35,43],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Preconditions:"," These define the state or input requirements that must be met before a tool is triggered. By explicitly checking these, the agent avoids runtime errors and invalid API calls.",[36,44,45,48],{},[39,46,47],{},"Effects:"," These define the expected state changes following a successful execution. This allows the agent to verify whether an action achieved the desired outcome, enabling better planning and error recovery.",[22,50,51],{},"By integrating these contracts into the agent's reasoning loop, the system significantly reduces 'hallucinated' tool usage and improves the robustness of multi-step task completion. This shift moves agent architecture toward a more deterministic, software-engineering-focused paradigm where tool interaction is treated as a contract-based interface rather than a probabilistic guess.",{"title":53,"searchDepth":54,"depth":54,"links":55},"",2,[56,57],{"id":19,"depth":54,"text":20},{"id":27,"depth":54,"text":28},[59],"AI & LLMs",null,"md",false,{"content_references":64,"triage":71},[65],{"type":66,"title":67,"author":68,"url":69,"context":70},"paper","Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents","Unknown","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.07904","cited",{"relevance":72,"novelty":73,"quality":73,"actionability":73,"composite":74,"reasoning":75},5,4,4.35,"Category: AI & LLMs. The article directly addresses the reliability of LLM agents in tool usage, a core concern for developers integrating AI into products. It presents a novel framework for improving agent performance through formal contracts, which is actionable for those looking to enhance AI tool interactions.",true,"\u002Fsummaries\u002Ffc8e9df3a4af179f-contract2tool-improving-llm-agent-reliability-via-summary","2026-06-09 12:58:19",{"title":5,"description":53},{"loc":77},"fc8e9df3a4af179f","arXiv cs.AI","article","summaries\u002Ffc8e9df3a4af179f-contract2tool-improving-llm-agent-reliability-via-summary",[86,87,88,89],"llm","agents","ai-tools","software-engineering","Contract2Tool enhances LLM agent reliability by learning explicit preconditions and effects for tools, reducing execution errors and improving task success rates.",[89],"iN4xYIMCp3jfZdBtfdDVcr_1nXbJbmSAGExyNrzdnH0",[94,97,100,102,105,108,110,112,114,116,118,120,123,125,127,129,131,133,135,137,139,141,143,145,147,149,152,155,157,159,161,163,166,168,170,172,175,177,179,181,183,185,187,189,191,193,195,197,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566],{"categories":95},[96],"Developer Productivity",{"categories":98},[99],"Business & SaaS",{"categories":101},[59],{"categories":103},[104],"AI Automation",{"categories":106},[107],"Product Strategy",{"categories":109},[59],{"categories":111},[96],{"categories":113},[99],{"categories":115},[],{"categories":117},[59],{"categories":119},[],{"categories":121},[122],"AI News & Trends",{"categories":124},[104],{"categories":126},[104],{"categories":128},[122],{"categories":130},[104],{"categories":132},[104],{"categories":134},[104],{"categories":136},[59],{"categories":138},[59],{"categories":140},[59],{"categories":142},[122],{"categories":144},[59],{"categories":146},[59],{"categories":148},[],{"categories":150},[151],"Design & Frontend",{"categories":153},[154],"Data Science & Visualization",{"categories":156},[122],{"categories":158},[59],{"categories":160},[],{"categories":162},[59],{"categories":164},[165],"Software Engineering",{"categories":167},[59],{"categories":169},[104],{"categories":171},[59],{"categories":173},[174],"Marketing & Growth",{"categories":176},[151],{"categories":178},[59],{"categories":180},[104],{"categories":182},[],{"categories":184},[],{"categories":186},[151],{"categories":188},[104],{"categories":190},[96],{"categories":192},[165],{"categories":194},[151],{"categories":196},[59],{"categories":198},[199],"DevOps & Cloud",{"categories":201},[104],{"categories":203},[122],{"categories":205},[59],{"categories":207},[],{"categories":209},[],{"categories":211},[104],{"categories":213},[165],{"categories":215},[],{"categories":217},[99],{"categories":219},[],{"categories":221},[],{"categories":223},[59],{"categories":225},[104],{"categories":227},[59],{"categories":229},[59],{"categories":231},[104],{"categories":233},[59],{"categories":235},[59],{"categories":237},[59],{"categories":239},[],{"categories":241},[165],{"categories":243},[],{"categories":245},[],{"categories":247},[165],{"categories":249},[],{"categories":251},[165],{"categories":253},[59],{"categories":255},[59],{"categories":257},[174],{"categories":259},[151],{"categories":261},[151],{"categories":263},[59],{"categories":265},[165],{"categories":267},[104],{"categories":269},[165],{"categories":271},[59],{"categories":273},[59],{"categories":275},[104],{"categories":277},[104],{"categories":279},[154],{"categories":281},[122],{"categories":283},[104],{"categories":285},[104],{"categories":287},[174],{"categories":289},[104],{"categories":291},[107],{"categories":293},[165],{"categories":295},[],{"categories":297},[104],{"categories":299},[],{"categories":301},[104],{"categories":303},[165],{"categories":305},[199],{"categories":307},[151],{"categories":309},[59],{"categories":311},[],{"categories":313},[165],{"categories":315},[59],{"categories":317},[],{"categories":319},[104],{"categories":321},[],{"categories":323},[59],{"categories":325},[],{"categories":327},[96],{"categories":329},[165],{"categories":331},[99],{"categories":333},[59],{"categories":335},[59],{"categories":337},[122],{"categories":339},[59],{"categories":341},[],{"categories":343},[59],{"categories":345},[],{"categories":347},[165],{"categories":349},[154],{"categories":351},[],{"categories":353},[59],{"categories":355},[151],{"categories":357},[],{"categories":359},[151],{"categories":361},[104],{"categories":363},[],{"categories":365},[59],{"categories":367},[59],{"categories":369},[104],{"categories":371},[122],{"categories":373},[99],{"categories":375},[59],{"categories":377},[],{"categories":379},[165],{"categories":381},[104],{"categories":383},[59],{"categories":385},[107],{"categories":387},[],{"categories":389},[59],{"categories":391},[107],{"categories":393},[104],{"categories":395},[59],{"categories":397},[104],{"categories":399},[],{"categories":401},[154],{"categories":403},[59],{"categories":405},[],{"categories":407},[96],{"categories":409},[59],{"categories":411},[99],{"categories":413},[59],{"categories":415},[104],{"categories":417},[59],{"categories":419},[165],{"categories":421},[59],{"categories":423},[],{"categories":425},[],{"categories":427},[59],{"categories":429},[59],{"categories":431},[],{"categories":433},[151],{"categories":435},[],{"categories":437},[59],{"categories":439},[],{"categories":441},[104],{"categories":443},[59],{"categories":445},[151],{"categories":447},[],{"categories":449},[59],{"categories":451},[59],{"categories":453},[99],{"categories":455},[104],{"categories":457},[59],{"categories":459},[59],{"categories":461},[151],{"categories":463},[104],{"categories":465},[],{"categories":467},[104],{"categories":469},[],{"categories":471},[122],{"categories":473},[],{"categories":475},[59],{"categories":477},[99,174],{"categories":479},[],{"categories":481},[59],{"categories":483},[104],{"categories":485},[],{"categories":487},[],{"categories":489},[151],{"categories":491},[59],{"categories":493},[],{"categories":495},[59],{"categories":497},[199],{"categories":499},[],{"categories":501},[122],{"categories":503},[151],{"categories":505},[],{"categories":507},[122],{"categories":509},[59],{"categories":511},[104],{"categories":513},[122],{"categories":515},[59],{"categories":517},[174],{"categories":519},[],{"categories":521},[99],{"categories":523},[165],{"categories":525},[59],{"categories":527},[104],{"categories":529},[],{"categories":531},[59,199],{"categories":533},[59],{"categories":535},[59],{"categories":537},[59],{"categories":539},[104],{"categories":541},[59,165],{"categories":543},[154],{"categories":545},[59],{"categories":547},[165],{"categories":549},[174],{"categories":551},[104],{"categories":553},[59],{"categories":555},[104],{"categories":557},[],{"categories":559},[104],{"categories":561},[59],{"categories":563},[59,99],{"categories":565},[99],{"categories":567},[],{"categories":569},[151],{"categories":571},[151],{"categories":573},[],{"categories":575},[],{"categories":577},[122],{"categories":579},[],{"categories":581},[96],{"categories":583},[59],{"categories":585},[165],{"categories":587},[59],{"categories":589},[151],{"categories":591},[104],{"categories":593},[165],{"categories":595},[122],{"categories":597},[151],{"categories":599},[],{"categories":601},[59],{"categories":603},[59],{"categories":605},[59],{"categories":607},[59],{"categories":609},[59],{"categories":611},[59],{"categories":613},[122],{"categories":615},[96],{"categories":617},[59],{"categories":619},[104],{"categories":621},[199],{"categories":623},[151],{"categories":625},[59],{"categories":627},[104],{"categories":629},[],{"categories":631},[],{"categories":633},[151],{"categories":635},[122],{"categories":637},[154],{"categories":639},[],{"categories":641},[59],{"categories":643},[59],{"categories":645},[99],{"categories":647},[59],{"categories":649},[59],{"categories":651},[59],{"categories":653},[122],{"categories":655},[151],{"categories":657},[],{"categories":659},[104],{"categories":661},[165],{"categories":663},[],{"categories":665},[59],{"categories":667},[59],{"categories":669},[104],{"categories":671},[165],{"categories":673},[59],{"categories":675},[],{"categories":677},[],{"categories":679},[59],{"categories":681},[],{"categories":683},[107],{"categories":685},[99],{"categories":687},[104],{"categories":689},[104],{"categories":691},[],{"categories":693},[96],{"categories":695},[59],{"categories":697},[99],{"categories":699},[122],{"categories":701},[96],{"categories":703},[],{"categories":705},[59],{"categories":707},[],{"categories":709},[],{"categories":711},[122],{"categories":713},[122],{"categories":715},[],{"categories":717},[151],{"categories":719},[165],{"categories":721},[],{"categories":723},[99],{"categories":725},[],{"categories":727},[],{"categories":729},[96],{"categories":731},[],{"categories":733},[174],{"categories":735},[104],{"categories":737},[99],{"categories":739},[104],{"categories":741},[165],{"categories":743},[],{"categories":745},[107],{"categories":747},[151],{"categories":749},[165],{"categories":751},[59],{"categories":753},[104],{"categories":755},[99],{"categories":757},[59],{"categories":759},[],{"categories":761},[],{"categories":763},[165],{"categories":765},[154],{"categories":767},[107],{"categories":769},[104],{"categories":771},[59],{"categories":773},[],{"categories":775},[199],{"categories":777},[],{"categories":779},[104],{"categories":781},[],{"categories":783},[96],{"categories":785},[],{"categories":787},[59],{"categories":789},[59],{"categories":791},[151],{"categories":793},[174],{"categories":795},[165],{"categories":797},[104],{"categories":799},[],{"categories":801},[165],{"categories":803},[96],{"categories":805},[],{"categories":807},[122],{"categories":809},[59,199],{"categories":811},[59],{"categories":813},[122],{"categories":815},[59],{"categories":817},[59],{"categories":819},[99],{"categories":821},[59],{"categories":823},[],{"categories":825},[59],{"categories":827},[99],{"categories":829},[59],{"categories":831},[],{"categories":833},[104],{"categories":835},[165],{"categories":837},[151],{"categories":839},[122],{"categories":841},[154],{"categories":843},[59],{"categories":845},[96],{"categories":847},[59],{"categories":849},[104],{"categories":851},[165],{"categories":853},[],{"categories":855},[],{"categories":857},[104],{"categories":859},[107],{"categories":861},[],{"categories":863},[59],{"categories":865},[],{"categories":867},[151],{"categories":869},[104],{"categories":871},[165],{"categories":873},[151],{"categories":875},[59],{"categories":877},[151],{"categories":879},[],{"categories":881},[],{"categories":883},[122],{"categories":885},[104],{"categories":887},[104],{"categories":889},[59],{"categories":891},[59],{"categories":893},[59],{"categories":895},[99],{"categories":897},[59],{"categories":899},[],{"categories":901},[165],{"categories":903},[165],{"categories":905},[99],{"categories":907},[],{"categories":909},[59],{"categories":911},[59],{"categories":913},[104],{"categories":915},[96],{"categories":917},[99],{"categories":919},[122],{"categories":921},[104],{"categories":923},[174],{"categories":925},[59],{"categories":927},[104],{"categories":929},[],{"categories":931},[151],{"categories":933},[],{"categories":935},[59],{"categories":937},[59],{"categories":939},[],{"categories":941},[99],{"categories":943},[104],{"categories":945},[],{"categories":947},[59],{"categories":949},[199],{"categories":951},[154],{"categories":953},[165],{"categories":955},[174],{"categories":957},[59],{"categories":959},[151],{"categories":961},[59],{"categories":963},[165],{"categories":965},[104],{"categories":967},[],{"categories":969},[],{"categories":971},[104],{"categories":973},[96],{"categories":975},[104],{"categories":977},[107],{"categories":979},[99],{"categories":981},[],{"categories":983},[59],{"categories":985},[107],{"categories":987},[59],{"categories":989},[59],{"categories":991},[59],{"categories":993},[59],{"categories":995},[174],{"categories":997},[59],{"categories":999},[59],{"categories":1001},[59],{"categories":1003},[151],{"categories":1005},[104],{"categories":1007},[],{"categories":1009},[],{"categories":1011},[199],{"categories":1013},[165],{"categories":1015},[],{"categories":1017},[104],{"categories":1019},[59],{"categories":1021},[151,59],{"categories":1023},[96],{"categories":1025},[],{"categories":1027},[59],{"categories":1029},[96],{"categories":1031},[151],{"categories":1033},[104],{"categories":1035},[165],{"categories":1037},[],{"categories":1039},[59],{"categories":1041},[],{"categories":1043},[],{"categories":1045},[59],{"categories":1047},[96],{"categories":1049},[59],{"categories":1051},[],{"categories":1053},[104],{"categories":1055},[107],{"categories":1057},[59],{"categories":1059},[59],{"categories":1061},[59],{"categories":1063},[151],{"categories":1065},[104],{"categories":1067},[199],{"categories":1069},[151],{"categories":1071},[99],{"categories":1073},[104],{"categories":1075},[59],{"categories":1077},[59],{"categories":1079},[59],{"categories":1081},[104],{"categories":1083},[165],{"categories":1085},[59],{"categories":1087},[107],{"categories":1089},[],{"categories":1091},[122],{"categories":1093},[],{"categories":1095},[107],{"categories":1097},[104],{"categories":1099},[151],{"categories":1101},[59],{"categories":1103},[59],{"categories":1105},[104],{"categories":1107},[165],{"categories":1109},[151],{"categories":1111},[104],{"categories":1113},[122],{"categories":1115},[],{"categories":1117},[59],{"categories":1119},[],{"categories":1121},[59],{"categories":1123},[151],{"categories":1125},[59],{"categories":1127},[96],{"categories":1129},[122],{"categories":1131},[59],{"categories":1133},[174],{"categories":1135},[59],{"categories":1137},[59],{"categories":1139},[104],{"categories":1141},[104],{"categories":1143},[59],{"categories":1145},[104],{"categories":1147},[104],{"categories":1149},[59],{"categories":1151},[59],{"categories":1153},[104],{"categories":1155},[151],{"categories":1157},[59],{"categories":1159},[59],{"categories":1161},[],{"categories":1163},[],{"categories":1165},[165],{"categories":1167},[],{"categories":1169},[96],{"categories":1171},[199],{"categories":1173},[59],{"categories":1175},[],{"categories":1177},[96],{"categories":1179},[99],{"categories":1181},[59],{"categories":1183},[174],{"categories":1185},[],{"categories":1187},[99],{"categories":1189},[],{"categories":1191},[59],{"categories":1193},[165],{"categories":1195},[],{"categories":1197},[],{"categories":1199},[],{"categories":1201},[],{"categories":1203},[59],{"categories":1205},[104],{"categories":1207},[199],{"categories":1209},[96],{"categories":1211},[165],{"categories":1213},[59],{"categories":1215},[59],{"categories":1217},[165],{"categories":1219},[107],{"categories":1221},[59],{"categories":1223},[174],{"categories":1225},[99],{"categories":1227},[59],{"categories":1229},[59],{"categories":1231},[59],{"categories":1233},[59,96],{"categories":1235},[165],{"categories":1237},[165],{"categories":1239},[151],{"categories":1241},[104],{"categories":1243},[59],{"categories":1245},[59],{"categories":1247},[],{"categories":1249},[],{"categories":1251},[59],{"categories":1253},[],{"categories":1255},[165],{"categories":1257},[154],{"categories":1259},[122],{"categories":1261},[151],{"categories":1263},[59],{"categories":1265},[165],{"categories":1267},[],{"categories":1269},[59],{"categories":1271},[59],{"categories":1273},[],{"categories":1275},[104],{"categories":1277},[59],{"categories":1279},[59],{"categories":1281},[],{"categories":1283},[104],{"categories":1285},[59],{"categories":1287},[99],{"categories":1289},[],{"categories":1291},[96],{"categories":1293},[59],{"categories":1295},[96],{"categories":1297},[59],{"categories":1299},[165],{"categories":1301},[174],{"categories":1303},[104],{"categories":1305},[104],{"categories":1307},[59,151],{"categories":1309},[122],{"categories":1311},[59],{"categories":1313},[151],{"categories":1315},[],{"categories":1317},[165],{"categories":1319},[199],{"categories":1321},[151],{"categories":1323},[165],{"categories":1325},[59],{"categories":1327},[59],{"categories":1329},[104],{"categories":1331},[],{"categories":1333},[],{"categories":1335},[],{"categories":1337},[],{"categories":1339},[165],{"categories":1341},[104],{"categories":1343},[104],{"categories":1345},[199],{"categories":1347},[59],{"categories":1349},[59],{"categories":1351},[104],{"categories":1353},[59],{"categories":1355},[59],{"categories":1357},[],{"categories":1359},[151],{"categories":1361},[165],{"categories":1363},[],{"categories":1365},[],{"categories":1367},[104],{"categories":1369},[],{"categories":1371},[],{"categories":1373},[174],{"categories":1375},[174],{"categories":1377},[104],{"categories":1379},[165],{"categories":1381},[],{"categories":1383},[59],{"categories":1385},[59],{"categories":1387},[165],{"categories":1389},[151],{"categories":1391},[151],{"categories":1393},[104],{"categories":1395},[96],{"categories":1397},[59],{"categories":1399},[59],{"categories":1401},[151],{"categories":1403},[151],{"categories":1405},[104],{"categories":1407},[104],{"categories":1409},[59],{"categories":1411},[],{"categories":1413},[59],{"categories":1415},[],{"categories":1417},[59],{"categories":1419},[104],{"categories":1421},[122],{"categories":1423},[165],{"categories":1425},[59],{"categories":1427},[96],{"categories":1429},[59],{"categories":1431},[],{"categories":1433},[104],{"categories":1435},[104],{"categories":1437},[],{"categories":1439},[59],{"categories":1441},[96],{"categories":1443},[59],{"categories":1445},[96],{"categories":1447},[96],{"categories":1449},[],{"categories":1451},[165],{"categories":1453},[],{"categories":1455},[104],{"categories":1457},[122],{"categories":1459},[59],{"categories":1461},[104],{"categories":1463},[59],{"categories":1465},[104],{"categories":1467},[59],{"categories":1469},[122],{"categories":1471},[154],{"categories":1473},[59],{"categories":1475},[107],{"categories":1477},[122],{"categories":1479},[151],{"categories":1481},[],{"categories":1483},[],{"categories":1485},[122],{"categories":1487},[],{"categories":1489},[],{"categories":1491},[],{"categories":1493},[],{"categories":1495},[165],{"categories":1497},[165],{"categories":1499},[154],{"categories":1501},[],{"categories":1503},[59],{"categories":1505},[59],{"categories":1507},[154],{"categories":1509},[165],{"categories":1511},[],{"categories":1513},[],{"categories":1515},[104],{"categories":1517},[104],{"categories":1519},[165],{"categories":1521},[104],{"categories":1523},[122],{"categories":1525},[122],{"categories":1527},[104],{"categories":1529},[104],{"categories":1531},[96],{"categories":1533},[59,199],{"categories":1535},[],{"categories":1537},[151],{"categories":1539},[165],{"categories":1541},[96],{"categories":1543},[104],{"categories":1545},[151],{"categories":1547},[],{"categories":1549},[104],{"categories":1551},[104],{"categories":1553},[59],{"categories":1555},[174],{"categories":1557},[165],{"categories":1559},[151],{"categories":1561},[59],{"categories":1563},[],{"categories":1565},[104],{"categories":1567},[151],{"categories":1569},[59],{"categories":1571},[104],{"categories":1573},[104],{"categories":1575},[104],{"categories":1577},[174],{"categories":1579},[154],{"categories":1581},[59],{"categories":1583},[104],{"categories":1585},[59],{"categories":1587},[],{"categories":1589},[174],{"categories":1591},[122],{"categories":1593},[165],{"categories":1595},[59],{"categories":1597},[104],{"categories":1599},[],{"categories":1601},[],{"categories":1603},[59],{"categories":1605},[104],{"categories":1607},[59],{"categories":1609},[122],{"categories":1611},[59],{"categories":1613},[104],{"categories":1615},[104],{"categories":1617},[],{"categories":1619},[59],{"categories":1621},[],{"categories":1623},[],{"categories":1625},[59],{"categories":1627},[104],{"categories":1629},[],{"categories":1631},[],{"categories":1633},[154],{"categories":1635},[59],{"categories":1637},[154],{"categories":1639},[122],{"categories":1641},[59],{"categories":1643},[59],{"categories":1645},[104],{"categories":1647},[59],{"categories":1649},[104],{"categories":1651},[],{"categories":1653},[],{"categories":1655},[199],{"categories":1657},[59],{"categories":1659},[],{"categories":1661},[],{"categories":1663},[96],{"categories":1665},[],{"categories":1667},[],{"categories":1669},[59],{"categories":1671},[],{"categories":1673},[],{"categories":1675},[165],{"categories":1677},[122],{"categories":1679},[174],{"categories":1681},[99],{"categories":1683},[59],{"categories":1685},[59],{"categories":1687},[99],{"categories":1689},[],{"categories":1691},[151],{"categories":1693},[104],{"categories":1695},[99],{"categories":1697},[59],{"categories":1699},[59],{"categories":1701},[96],{"categories":1703},[59],{"categories":1705},[],{"categories":1707},[96],{"categories":1709},[59],{"categories":1711},[174],{"categories":1713},[104],{"categories":1715},[122],{"categories":1717},[59],{"categories":1719},[99],{"categories":1721},[59],{"categories":1723},[59],{"categories":1725},[104],{"categories":1727},[],{"categories":1729},[59],{"categories":1731},[96],{"categories":1733},[59],{"categories":1735},[59],{"categories":1737},[],{"categories":1739},[122],{"categories":1741},[59],{"categories":1743},[59],{"categories":1745},[],{"categories":1747},[99],{"categories":1749},[99],{"categories":1751},[107],{"categories":1753},[59],{"categories":1755},[59],{"categories":1757},[],{"categories":1759},[165],{"categories":1761},[],{"categories":1763},[],{"categories":1765},[59],{"categories":1767},[122],{"categories":1769},[],{"categories":1771},[199],{"categories":1773},[59],{"categories":1775},[59],{"categories":1777},[],{"categories":1779},[59],{"categories":1781},[165],{"categories":1783},[59],{"categories":1785},[59],{"categories":1787},[59,199],{"categories":1789},[59],{"categories":1791},[59],{"categories":1793},[151],{"categories":1795},[104],{"categories":1797},[],{"categories":1799},[104],{"categories":1801},[104],{"categories":1803},[59],{"categories":1805},[59],{"categories":1807},[59],{"categories":1809},[59],{"categories":1811},[96],{"categories":1813},[154],{"categories":1815},[96],{"categories":1817},[165],{"categories":1819},[151],{"categories":1821},[104],{"categories":1823},[],{"categories":1825},[59],{"categories":1827},[122],{"categories":1829},[59],{"categories":1831},[104],{"categories":1833},[59],{"categories":1835},[59],{"categories":1837},[99],{"categories":1839},[],{"categories":1841},[199],{"categories":1843},[151],{"categories":1845},[151],{"categories":1847},[165],{"categories":1849},[104],{"categories":1851},[59],{"categories":1853},[99],{"categories":1855},[122],{"categories":1857},[151],{"categories":1859},[104],{"categories":1861},[59],{"categories":1863},[],{"categories":1865},[59],{"categories":1867},[59],{"categories":1869},[],{"categories":1871},[],{"categories":1873},[59],{"categories":1875},[59],{"categories":1877},[59],{"categories":1879},[59],{"categories":1881},[104],{"categories":1883},[59],{"categories":1885},[59],{"categories":1887},[],{"categories":1889},[154],{"categories":1891},[59],{"categories":1893},[104],{"categories":1895},[],{"categories":1897},[],{"categories":1899},[59],{"categories":1901},[59],{"categories":1903},[59],{"categories":1905},[122],{"categories":1907},[],{"categories":1909},[151],{"categories":1911},[59],{"categories":1913},[199],{"categories":1915},[122],{"categories":1917},[165],{"categories":1919},[165],{"categories":1921},[122],{"categories":1923},[122],{"categories":1925},[199],{"categories":1927},[],{"categories":1929},[122],{"categories":1931},[59],{"categories":1933},[96],{"categories":1935},[59],{"categories":1937},[122],{"categories":1939},[],{"categories":1941},[59],{"categories":1943},[165],{"categories":1945},[154],{"categories":1947},[59],{"categories":1949},[122],{"categories":1951},[165],{"categories":1953},[104],{"categories":1955},[122],{"categories":1957},[199],{"categories":1959},[104],{"categories":1961},[59],{"categories":1963},[59],{"categories":1965},[59],{"categories":1967},[],{"categories":1969},[99],{"categories":1971},[],{"categories":1973},[],{"categories":1975},[59],{"categories":1977},[59],{"categories":1979},[59],{"categories":1981},[59],{"categories":1983},[],{"categories":1985},[154],{"categories":1987},[96],{"categories":1989},[104],{"categories":1991},[151],{"categories":1993},[],{"categories":1995},[59],{"categories":1997},[165],{"categories":1999},[59],{"categories":2001},[199],{"categories":2003},[199],{"categories":2005},[],{"categories":2007},[104],{"categories":2009},[122],{"categories":2011},[122],{"categories":2013},[59],{"categories":2015},[104],{"categories":2017},[],{"categories":2019},[151],{"categories":2021},[59],{"categories":2023},[59],{"categories":2025},[],{"categories":2027},[59],{"categories":2029},[],{"categories":2031},[59],{"categories":2033},[165],{"categories":2035},[199],{"categories":2037},[59],{"categories":2039},[165],{"categories":2041},[99],{"categories":2043},[59],{"categories":2045},[],{"categories":2047},[104],{"categories":2049},[96],{"categories":2051},[96],{"categories":2053},[],{"categories":2055},[59],{"categories":2057},[59],{"categories":2059},[165],{"categories":2061},[151],{"categories":2063},[59],{"categories":2065},[104],{"categories":2067},[],{"categories":2069},[59],{"categories":2071},[59],{"categories":2073},[104],{"categories":2075},[],{"categories":2077},[104],{"categories":2079},[165],{"categories":2081},[],{"categories":2083},[59],{"categories":2085},[104],{"categories":2087},[99],{"categories":2089},[],{"categories":2091},[59],{"categories":2093},[],{"categories":2095},[59],{"categories":2097},[59],{"categories":2099},[],{"categories":2101},[59],{"categories":2103},[59],{"categories":2105},[122],{"categories":2107},[59],{"categories":2109},[59],{"categories":2111},[96],{"categories":2113},[59],{"categories":2115},[154],{"categories":2117},[122],{"categories":2119},[104],{"categories":2121},[],{"categories":2123},[59],{"categories":2125},[151],{"categories":2127},[174],{"categories":2129},[59],{"categories":2131},[104],{"categories":2133},[],{"categories":2135},[],{"categories":2137},[],{"categories":2139},[96],{"categories":2141},[122],{"categories":2143},[104],{"categories":2145},[59],{"categories":2147},[59],{"categories":2149},[151],{"categories":2151},[104],{"categories":2153},[],{"categories":2155},[104],{"categories":2157},[104],{"categories":2159},[],{"categories":2161},[59],{"categories":2163},[104],{"categories":2165},[59],{"categories":2167},[],{"categories":2169},[59],{"categories":2171},[59],{"categories":2173},[122],{"categories":2175},[151],{"categories":2177},[104],{"categories":2179},[151],{"categories":2181},[99],{"categories":2183},[],{"categories":2185},[],{"categories":2187},[59],{"categories":2189},[96],{"categories":2191},[122],{"categories":2193},[],{"categories":2195},[151],{"categories":2197},[],{"categories":2199},[165],{"categories":2201},[165],{"categories":2203},[151],{"categories":2205},[165],{"categories":2207},[],{"categories":2209},[59],{"categories":2211},[59],{"categories":2213},[],{"categories":2215},[174],{"categories":2217},[59],{"categories":2219},[199],{"categories":2221},[165],{"categories":2223},[],{"categories":2225},[104],{"categories":2227},[59],{"categories":2229},[96],{"categories":2231},[104],{"categories":2233},[104],{"categories":2235},[59],{"categories":2237},[59],{"categories":2239},[],{"categories":2241},[96],{"categories":2243},[59],{"categories":2245},[99],{"categories":2247},[165],{"categories":2249},[151],{"categories":2251},[],{"categories":2253},[],{"categories":2255},[],{"categories":2257},[104],{"categories":2259},[165],{"categories":2261},[151],{"categories":2263},[122],{"categories":2265},[59],{"categories":2267},[122],{"categories":2269},[104],{"categories":2271},[151],{"categories":2273},[59],{"categories":2275},[],{"categories":2277},[59],{"categories":2279},[151],{"categories":2281},[122],{"categories":2283},[99],{"categories":2285},[165],{"categories":2287},[59],{"categories":2289},[122],{"categories":2291},[174],{"categories":2293},[],{"categories":2295},[],{"categories":2297},[154],{"categories":2299},[59,165],{"categories":2301},[122],{"categories":2303},[59],{"categories":2305},[59],{"categories":2307},[104],{"categories":2309},[59],{"categories":2311},[104],{"categories":2313},[59],{"categories":2315},[59],{"categories":2317},[],{"categories":2319},[165],{"categories":2321},[59],{"categories":2323},[154],{"categories":2325},[104],{"categories":2327},[174],{"categories":2329},[199],{"categories":2331},[],{"categories":2333},[96],{"categories":2335},[104],{"categories":2337},[104],{"categories":2339},[107],{"categories":2341},[165],{"categories":2343},[59],{"categories":2345},[59],{"categories":2347},[],{"categories":2349},[],{"categories":2351},[],{"categories":2353},[199],{"categories":2355},[59],{"categories":2357},[122],{"categories":2359},[59],{"categories":2361},[59],{"categories":2363},[59],{"categories":2365},[],{"categories":2367},[154],{"categories":2369},[99],{"categories":2371},[104],{"categories":2373},[],{"categories":2375},[59],{"categories":2377},[104],{"categories":2379},[59],{"categories":2381},[199],{"categories":2383},[],{"categories":2385},[151],{"categories":2387},[151],{"categories":2389},[],{"categories":2391},[165],{"categories":2393},[59],{"categories":2395},[151],{"categories":2397},[59],{"categories":2399},[99],{"categories":2401},[],{"categories":2403},[122],{"categories":2405},[59],{"categories":2407},[59],{"categories":2409},[151],{"categories":2411},[104],{"categories":2413},[122],{"categories":2415},[],{"categories":2417},[104],{"categories":2419},[104],{"categories":2421},[151],{"categories":2423},[59],{"categories":2425},[],{"categories":2427},[59],{"categories":2429},[59],{"categories":2431},[199],{"categories":2433},[122],{"categories":2435},[154],{"categories":2437},[154],{"categories":2439},[],{"categories":2441},[],{"categories":2443},[],{"categories":2445},[104],{"categories":2447},[104],{"categories":2449},[165],{"categories":2451},[165],{"categories":2453},[59],{"categories":2455},[59],{"categories":2457},[],{"categories":2459},[],{"categories":2461},[59],{"categories":2463},[],{"categories":2465},[59],{"categories":2467},[104],{"categories":2469},[59],{"categories":2471},[],{"categories":2473},[107],{"categories":2475},[59],{"categories":2477},[151],{"categories":2479},[59],{"categories":2481},[99],{"categories":2483},[59],{"categories":2485},[174],{"categories":2487},[104],{"categories":2489},[59],{"categories":2491},[59],{"categories":2493},[59],{"categories":2495},[165],{"categories":2497},[],{"categories":2499},[122],{"categories":2501},[104],{"categories":2503},[],{"categories":2505},[122],{"categories":2507},[104],{"categories":2509},[104],{"categories":2511},[59],{"categories":2513},[104],{"categories":2515},[],{"categories":2517},[99],{"categories":2519},[104],{"categories":2521},[],{"categories":2523},[165],{"categories":2525},[59],{"categories":2527},[96],{"categories":2529},[122],{"categories":2531},[199],{"categories":2533},[104],{"categories":2535},[59],{"categories":2537},[104],{"categories":2539},[96],{"categories":2541},[],{"categories":2543},[59],{"categories":2545},[],{"categories":2547},[],{"categories":2549},[151],{"categories":2551},[59,99],{"categories":2553},[104],{"categories":2555},[59],{"categories":2557},[],{"categories":2559},[96],{"categories":2561},[154],{"categories":2563},[59],{"categories":2565},[165],{"categories":2567},[59],{"categories":2569},[104],{"categories":2571},[59],{"categories":2573},[59],{"categories":2575},[59],{"categories":2577},[122],{"categories":2579},[104],{"categories":2581},[59],{"categories":2583},[],{"categories":2585},[],{"categories":2587},[104],{"categories":2589},[59],{"categories":2591},[199],{"categories":2593},[],{"categories":2595},[59],{"categories":2597},[104],{"categories":2599},[104],{"categories":2601},[],{"categories":2603},[104],{"categories":2605},[59],{"categories":2607},[174],{"categories":2609},[154],{"categories":2611},[104],{"categories":2613},[59],{"categories":2615},[199],{"categories":2617},[],{"categories":2619},[59],{"categories":2621},[174],{"categories":2623},[151],{"categories":2625},[59],{"categories":2627},[59],{"categories":2629},[],{"categories":2631},[174],{"categories":2633},[122],{"categories":2635},[59],{"categories":2637},[59],{"categories":2639},[96],{"categories":2641},[59],{"categories":2643},[],{"categories":2645},[],{"categories":2647},[151],{"categories":2649},[59],{"categories":2651},[154],{"categories":2653},[174],{"categories":2655},[104],{"categories":2657},[174],{"categories":2659},[122],{"categories":2661},[],{"categories":2663},[59],{"categories":2665},[],{"categories":2667},[59],{"categories":2669},[104],{"categories":2671},[59],{"categories":2673},[59],{"categories":2675},[],{"categories":2677},[59,165],{"categories":2679},[122],{"categories":2681},[104],{"categories":2683},[165],{"categories":2685},[59],{"categories":2687},[96],{"categories":2689},[],{"categories":2691},[],{"categories":2693},[104],{"categories":2695},[165],{"categories":2697},[96],{"categories":2699},[165],{"categories":2701},[165],{"categories":2703},[59],{"categories":2705},[174],{"categories":2707},[59],{"categories":2709},[165],{"categories":2711},[],{"categories":2713},[151,59],{"categories":2715},[199],{"categories":2717},[96],{"categories":2719},[],{"categories":2721},[59],{"categories":2723},[99],{"categories":2725},[99],{"categories":2727},[59],{"categories":2729},[59],{"categories":2731},[59],{"categories":2733},[165],{"categories":2735},[104],{"categories":2737},[122],{"categories":2739},[174],{"categories":2741},[151],{"categories":2743},[59],{"categories":2745},[59],{"categories":2747},[59],{"categories":2749},[59],{"categories":2751},[96],{"categories":2753},[59],{"categories":2755},[104],{"categories":2757},[104],{"categories":2759},[122],{"categories":2761},[165],{"categories":2763},[],{"categories":2765},[],{"categories":2767},[154],{"categories":2769},[165],{"categories":2771},[59],{"categories":2773},[151],{"categories":2775},[59],{"categories":2777},[154],{"categories":2779},[59],{"categories":2781},[59],{"categories":2783},[59],{"categories":2785},[104],{"categories":2787},[104],{"categories":2789},[59,99],{"categories":2791},[],{"categories":2793},[151],{"categories":2795},[],{"categories":2797},[59],{"categories":2799},[122],{"categories":2801},[96],{"categories":2803},[96],{"categories":2805},[104],{"categories":2807},[104],{"categories":2809},[104],{"categories":2811},[59],{"categories":2813},[59],{"categories":2815},[99],{"categories":2817},[165],{"categories":2819},[174],{"categories":2821},[59],{"categories":2823},[],{"categories":2825},[122],{"categories":2827},[59],{"categories":2829},[59],{"categories":2831},[59],{"categories":2833},[59],{"categories":2835},[59],{"categories":2837},[165],{"categories":2839},[122],{"categories":2841},[165],{"categories":2843},[165],{"categories":2845},[59],{"categories":2847},[59],{"categories":2849},[59],{"categories":2851},[104],{"categories":2853},[122],{"categories":2855},[104],{"categories":2857},[59],{"categories":2859},[151],{"categories":2861},[59],{"categories":2863},[59],{"categories":2865},[199],{"categories":2867},[59],{"categories":2869},[107],{"categories":2871},[104],{"categories":2873},[59],{"categories":2875},[122],{"categories":2877},[104],{"categories":2879},[174],{"categories":2881},[59],{"categories":2883},[99],{"categories":2885},[59],{"categories":2887},[],{"categories":2889},[59],{"categories":2891},[59],{"categories":2893},[],{"categories":2895},[],{"categories":2897},[],{"categories":2899},[99],{"categories":2901},[59],{"categories":2903},[104],{"categories":2905},[122],{"categories":2907},[122],{"categories":2909},[122],{"categories":2911},[122],{"categories":2913},[],{"categories":2915},[96],{"categories":2917},[104],{"categories":2919},[122],{"categories":2921},[59],{"categories":2923},[96],{"categories":2925},[104],{"categories":2927},[59],{"categories":2929},[59,104],{"categories":2931},[104],{"categories":2933},[199],{"categories":2935},[122],{"categories":2937},[104],{"categories":2939},[122],{"categories":2941},[104],{"categories":2943},[59],{"categories":2945},[],{"categories":2947},[122],{"categories":2949},[174],{"categories":2951},[96],{"categories":2953},[59],{"categories":2955},[59],{"categories":2957},[],{"categories":2959},[165],{"categories":2961},[],{"categories":2963},[96],{"categories":2965},[104],{"categories":2967},[122],{"categories":2969},[59],{"categories":2971},[122],{"categories":2973},[96],{"categories":2975},[122],{"categories":2977},[122],{"categories":2979},[],{"categories":2981},[99],{"categories":2983},[104],{"categories":2985},[122],{"categories":2987},[122],{"categories":2989},[122],{"categories":2991},[122],{"categories":2993},[122],{"categories":2995},[122],{"categories":2997},[122],{"categories":2999},[122],{"categories":3001},[122],{"categories":3003},[122],{"categories":3005},[154],{"categories":3007},[96],{"categories":3009},[59],{"categories":3011},[59],{"categories":3013},[104],{"categories":3015},[104],{"categories":3017},[],{"categories":3019},[59,96],{"categories":3021},[],{"categories":3023},[104],{"categories":3025},[122],{"categories":3027},[104],{"categories":3029},[59],{"categories":3031},[59],{"categories":3033},[59],{"categories":3035},[59],{"categories":3037},[59],{"categories":3039},[104],{"categories":3041},[99],{"categories":3043},[104],{"categories":3045},[],{"categories":3047},[151],{"categories":3049},[122],{"categories":3051},[59],{"categories":3053},[],{"categories":3055},[],{"categories":3057},[104],{"categories":3059},[151],{"categories":3061},[59],{"categories":3063},[],{"categories":3065},[59],{"categories":3067},[],{"categories":3069},[174],{"categories":3071},[59],{"categories":3073},[],{"categories":3075},[],{"categories":3077},[122],{"categories":3079},[96],{"categories":3081},[59],{"categories":3083},[99],{"categories":3085},[59],{"categories":3087},[59],{"categories":3089},[99],{"categories":3091},[151],{"categories":3093},[],{"categories":3095},[59],{"categories":3097},[122],{"categories":3099},[],{"categories":3101},[151],{"categories":3103},[59],{"categories":3105},[174],{"categories":3107},[59],{"categories":3109},[199],{"categories":3111},[],{"categories":3113},[174],{"categories":3115},[],{"categories":3117},[59],{"categories":3119},[],{"categories":3121},[104],{"categories":3123},[165],{"categories":3125},[],{"categories":3127},[99],{"categories":3129},[96],{"categories":3131},[104],{"categories":3133},[151],{"categories":3135},[165],{"categories":3137},[],{"categories":3139},[],{"categories":3141},[59],{"categories":3143},[96],{"categories":3145},[59],{"categories":3147},[174],{"categories":3149},[],{"categories":3151},[104],{"categories":3153},[104],{"categories":3155},[122],{"categories":3157},[165],{"categories":3159},[59],{"categories":3161},[104],{"categories":3163},[59],{"categories":3165},[104],{"categories":3167},[59],{"categories":3169},[107],{"categories":3171},[174],{"categories":3173},[122],{"categories":3175},[],{"categories":3177},[174],{"categories":3179},[],{"categories":3181},[165],{"categories":3183},[104],{"categories":3185},[],{"categories":3187},[59],{"categories":3189},[59],{"categories":3191},[104],{"categories":3193},[99],{"categories":3195},[96],{"categories":3197},[59],{"categories":3199},[151],{"categories":3201},[165],{"categories":3203},[165],{"categories":3205},[59],{"categories":3207},[154],{"categories":3209},[104],{"categories":3211},[59],{"categories":3213},[104],{"categories":3215},[99],{"categories":3217},[151],{"categories":3219},[165],{"categories":3221},[104],{"categories":3223},[59],{"categories":3225},[59],{"categories":3227},[104],{"categories":3229},[59],{"categories":3231},[122],{"categories":3233},[],{"categories":3235},[96],{"categories":3237},[59],{"categories":3239},[59],{"categories":3241},[59],{"categories":3243},[104],{"categories":3245},[59],{"categories":3247},[59],{"categories":3249},[],{"categories":3251},[59],{"categories":3253},[151],{"categories":3255},[99],{"categories":3257},[122],{"categories":3259},[104],{"categories":3261},[59],{"categories":3263},[59],{"categories":3265},[151],{"categories":3267},[104],{"categories":3269},[59],{"categories":3271},[174],{"categories":3273},[154],{"categories":3275},[59],{"categories":3277},[122],{"categories":3279},[59],{"categories":3281},[104],{"categories":3283},[199],{"categories":3285},[59],{"categories":3287},[104],{"categories":3289},[154],{"categories":3291},[],{"categories":3293},[104],{"categories":3295},[165],{"categories":3297},[151],{"categories":3299},[59],{"categories":3301},[96],{"categories":3303},[165],{"categories":3305},[99],{"categories":3307},[165],{"categories":3309},[59],{"categories":3311},[],{"categories":3313},[104],{"categories":3315},[104],{"categories":3317},[59],{"categories":3319},[154],{"categories":3321},[],{"categories":3323},[122],{"categories":3325},[],{"categories":3327},[122],{"categories":3329},[59],{"categories":3331},[59],{"categories":3333},[104],{"categories":3335},[104],{"categories":3337},[104],{"categories":3339},[],{"categories":3341},[122],{"categories":3343},[],{"categories":3345},[59],{"categories":3347},[59],{"categories":3349},[],{"categories":3351},[151],{"categories":3353},[165],{"categories":3355},[104],{"categories":3357},[59],{"categories":3359},[174],{"categories":3361},[59],{"categories":3363},[59],{"categories":3365},[96],{"categories":3367},[],{"categories":3369},[59],{"categories":3371},[],{"categories":3373},[96],{"categories":3375},[122],{"categories":3377},[165],{"categories":3379},[59],{"categories":3381},[59],{"categories":3383},[59],{"categories":3385},[165],{"categories":3387},[122],{"categories":3389},[151],{"categories":3391},[59],{"categories":3393},[59],{"categories":3395},[59],{"categories":3397},[122],{"categories":3399},[151],{"categories":3401},[59],{"categories":3403},[122],{"categories":3405},[151],{"categories":3407},[122],{"categories":3409},[104],{"categories":3411},[104],{"categories":3413},[165],{"categories":3415},[122],{"categories":3417},[104],{"categories":3419},[104],{"categories":3421},[59],{"categories":3423},[165],{"categories":3425},[151],{"categories":3427},[59],{"categories":3429},[],{"categories":3431},[104],{"categories":3433},[],{"categories":3435},[],{"categories":3437},[],{"categories":3439},[99],{"categories":3441},[104],{"categories":3443},[59],{"categories":3445},[104],{"categories":3447},[96],{"categories":3449},[104],{"categories":3451},[174],{"categories":3453},[104],{"categories":3455},[],{"categories":3457},[104],{"categories":3459},[],{"categories":3461},[96],{"categories":3463},[104],{"categories":3465},[],{"categories":3467},[104],{"categories":3469},[59],{"categories":3471},[59],{"categories":3473},[122],{"categories":3475},[59],{"categories":3477},[104],{"categories":3479},[59],{"categories":3481},[59],{"categories":3483},[122],{"categories":3485},[104],{"categories":3487},[165],{"categories":3489},[151],{"categories":3491},[96],{"categories":3493},[],{"categories":3495},[104],{"categories":3497},[151],{"categories":3499},[199],{"categories":3501},[122],{"categories":3503},[59],{"categories":3505},[151],{"categories":3507},[59],{"categories":3509},[96],{"categories":3511},[],{"categories":3513},[104],{"categories":3515},[59],{"categories":3517},[59],{"categories":3519},[104],{"categories":3521},[59],{"categories":3523},[151],{"categories":3525},[],{"categories":3527},[104],{"categories":3529},[107],{"categories":3531},[122],{"categories":3533},[104],{"categories":3535},[99],{"categories":3537},[],{"categories":3539},[59],{"categories":3541},[107],{"categories":3543},[59],{"categories":3545},[104],{"categories":3547},[122],{"categories":3549},[96],{"categories":3551},[199],{"categories":3553},[59],{"categories":3555},[59],{"categories":3557},[59],{"categories":3559},[122],{"categories":3561},[99],{"categories":3563},[59],{"categories":3565},[151],{"categories":3567},[122],{"categories":3569},[199],{"categories":3571},[59],{"categories":3573},[],{"categories":3575},[],{"categories":3577},[59],{"categories":3579},[199],{"categories":3581},[154],{"categories":3583},[104],{"categories":3585},[104],{"categories":3587},[122],{"categories":3589},[59],{"categories":3591},[96],{"categories":3593},[59],{"categories":3595},[151],{"categories":3597},[104],{"categories":3599},[104],{"categories":3601},[59],{"categories":3603},[174],{"categories":3605},[59],{"categories":3607},[104],{"categories":3609},[],{"categories":3611},[59],{"categories":3613},[59],{"categories":3615},[59],{"categories":3617},[122],{"categories":3619},[96],{"categories":3621},[],{"categories":3623},[59],{"categories":3625},[59],{"categories":3627},[165],{"categories":3629},[151],{"categories":3631},[59,104],{"categories":3633},[174,99],{"categories":3635},[59],{"categories":3637},[59],{"categories":3639},[],{"categories":3641},[104],{"categories":3643},[],{"categories":3645},[165],{"categories":3647},[59],{"categories":3649},[],{"categories":3651},[59],{"categories":3653},[122],{"categories":3655},[],{"categories":3657},[104],{"categories":3659},[59],{"categories":3661},[],{"categories":3663},[151],{"categories":3665},[59],{"categories":3667},[104],{"categories":3669},[59],{"categories":3671},[96],{"categories":3673},[104],{"categories":3675},[59],{"categories":3677},[],{"categories":3679},[199],{"categories":3681},[174],{"categories":3683},[99],{"categories":3685},[99],{"categories":3687},[59],{"categories":3689},[96],{"categories":3691},[96],{"categories":3693},[59],{"categories":3695},[104],{"categories":3697},[59],{"categories":3699},[59],{"categories":3701},[165],{"categories":3703},[96],{"categories":3705},[59],{"categories":3707},[174],{"categories":3709},[122],{"categories":3711},[59],{"categories":3713},[59],{"categories":3715},[104],{"categories":3717},[59],{"categories":3719},[],{"categories":3721},[165],{"categories":3723},[],{"categories":3725},[165],{"categories":3727},[104],{"categories":3729},[96],{"categories":3731},[],{"categories":3733},[199],{"categories":3735},[59],{"categories":3737},[],{"categories":3739},[122],{"categories":3741},[104],{"categories":3743},[165],{"categories":3745},[59],{"categories":3747},[104],{"categories":3749},[165],{"categories":3751},[104],{"categories":3753},[122],{"categories":3755},[96],{"categories":3757},[122],{"categories":3759},[165],{"categories":3761},[59],{"categories":3763},[151],{"categories":3765},[59],{"categories":3767},[59],{"categories":3769},[59],{"categories":3771},[59],{"categories":3773},[59],{"categories":3775},[104],{"categories":3777},[59],{"categories":3779},[104],{"categories":3781},[59],{"categories":3783},[96],{"categories":3785},[59],{"categories":3787},[104],{"categories":3789},[151],{"categories":3791},[104],{"categories":3793},[96],{"categories":3795},[104],{"categories":3797},[151],{"categories":3799},[],{"categories":3801},[59],{"categories":3803},[154],{"categories":3805},[59],{"categories":3807},[59],{"categories":3809},[165],{"categories":3811},[],{"categories":3813},[104],{"categories":3815},[174],{"categories":3817},[59],{"categories":3819},[122],{"categories":3821},[174],{"categories":3823},[104],{"categories":3825},[99],{"categories":3827},[99],{"categories":3829},[59],{"categories":3831},[59],{"categories":3833},[96],{"categories":3835},[],{"categories":3837},[104],{"categories":3839},[59],{"categories":3841},[165],{"categories":3843},[],{"categories":3845},[96],{"categories":3847},[59],{"categories":3849},[104],{"categories":3851},[104],{"categories":3853},[],{"categories":3855},[165],{"categories":3857},[165],{"categories":3859},[174],{"categories":3861},[151],{"categories":3863},[],{"categories":3865},[59],{"categories":3867},[104],{"categories":3869},[96],{"categories":3871},[59],{"categories":3873},[165],{"categories":3875},[96],{"categories":3877},[122],{"categories":3879},[122],{"categories":3881},[],{"categories":3883},[122],{"categories":3885},[104],{"categories":3887},[151],{"categories":3889},[154],{"categories":3891},[59],{"categories":3893},[],{"categories":3895},[122],{"categories":3897},[165],{"categories":3899},[59],{"categories":3901},[99],{"categories":3903},[59],{"categories":3905},[96],{"categories":3907},[199],{"categories":3909},[96],{"categories":3911},[],{"categories":3913},[],{"categories":3915},[104],{"categories":3917},[122],{"categories":3919},[],{"categories":3921},[104],{"categories":3923},[104],{"categories":3925},[104],{"categories":3927},[],{"categories":3929},[59],{"categories":3931},[],{"categories":3933},[122],{"categories":3935},[96],{"categories":3937},[151],{"categories":3939},[59],{"categories":3941},[122],{"categories":3943},[59],{"categories":3945},[122],{"categories":3947},[],{"categories":3949},[122],{"categories":3951},[96],{"categories":3953},[104],{"categories":3955},[59],{"categories":3957},[],{"categories":3959},[165],{"categories":3961},[104],{"categories":3963},[107],{"categories":3965},[104],{"categories":3967},[96],{"categories":3969},[],{"categories":3971},[],{"categories":3973},[],{"categories":3975},[151],{"categories":3977},[104],{"categories":3979},[59],{"categories":3981},[59],{"categories":3983},[],{"categories":3985},[],{"categories":3987},[],{"categories":3989},[151],{"categories":3991},[],{"categories":3993},[104],{"categories":3995},[59],{"categories":3997},[96],{"categories":3999},[],{"categories":4001},[],{"categories":4003},[151],{"categories":4005},[59],{"categories":4007},[122],{"categories":4009},[],{"categories":4011},[174],{"categories":4013},[122],{"categories":4015},[174],{"categories":4017},[154],{"categories":4019},[59],{"categories":4021},[59],{"categories":4023},[],{"categories":4025},[],{"categories":4027},[104],{"categories":4029},[],{"categories":4031},[59],{"categories":4033},[],{"categories":4035},[104],{"categories":4037},[59],{"categories":4039},[],{"categories":4041},[104],{"categories":4043},[59],{"categories":4045},[122],{"categories":4047},[59],{"categories":4049},[174],{"categories":4051},[59],{"categories":4053},[59],{"categories":4055},[154],{"categories":4057},[104],{"categories":4059},[104],{"categories":4061},[],{"categories":4063},[],{"categories":4065},[59],{"categories":4067},[],{"categories":4069},[122],{"categories":4071},[],{"categories":4073},[],{"categories":4075},[151],{"categories":4077},[96],{"categories":4079},[],{"categories":4081},[99],{"categories":4083},[174],{"categories":4085},[59],{"categories":4087},[165],{"categories":4089},[96],{"categories":4091},[154],{"categories":4093},[99],{"categories":4095},[165],{"categories":4097},[165],{"categories":4099},[],{"categories":4101},[59],{"categories":4103},[],{"categories":4105},[104],{"categories":4107},[96],{"categories":4109},[151],{"categories":4111},[96],{"categories":4113},[104],{"categories":4115},[199],{"categories":4117},[59],{"categories":4119},[59],{"categories":4121},[96],{"categories":4123},[104],{"categories":4125},[],{"categories":4127},[59],{"categories":4129},[165],{"categories":4131},[122],{"categories":4133},[165],{"categories":4135},[59],{"categories":4137},[],{"categories":4139},[151],{"categories":4141},[122],{"categories":4143},[96],{"categories":4145},[59],{"categories":4147},[104],{"categories":4149},[59],{"categories":4151},[99],{"categories":4153},[104],{"categories":4155},[104,199],{"categories":4157},[104],{"categories":4159},[165],{"categories":4161},[59],{"categories":4163},[59],{"categories":4165},[154],{"categories":4167},[104],{"categories":4169},[174],{"categories":4171},[104],{"categories":4173},[],{"categories":4175},[104],{"categories":4177},[59],{"categories":4179},[99],{"categories":4181},[],{"categories":4183},[],{"categories":4185},[59],{"categories":4187},[154],{"categories":4189},[174],{"categories":4191},[59],{"categories":4193},[104],{"categories":4195},[],{"categories":4197},[122],{"categories":4199},[],{"categories":4201},[122],{"categories":4203},[165],{"categories":4205},[96],{"categories":4207},[165],{"categories":4209},[59],{"categories":4211},[104],{"categories":4213},[59],{"categories":4215},[59],{"categories":4217},[174],{"categories":4219},[165],{"categories":4221},[],{"categories":4223},[122],{"categories":4225},[59],{"categories":4227},[],{"categories":4229},[59],{"categories":4231},[59],{"categories":4233},[59],{"categories":4235},[104],{"categories":4237},[59],{"categories":4239},[107],{"categories":4241},[104],{"categories":4243},[59],{"categories":4245},[59],{"categories":4247},[59],{"categories":4249},[59],{"categories":4251},[99],{"categories":4253},[],{"categories":4255},[107],{"categories":4257},[122],{"categories":4259},[104],{"categories":4261},[59],{"categories":4263},[165],{"categories":4265},[],{"categories":4267},[165],{"categories":4269},[165],{"categories":4271},[165],{"categories":4273},[59],{"categories":4275},[59],{"categories":4277},[59],{"categories":4279},[104],{"categories":4281},[122],{"categories":4283},[59],{"categories":4285},[59],{"categories":4287},[59],{"categories":4289},[99],{"categories":4291},[59],{"categories":4293},[104],{"categories":4295},[151],{"categories":4297},[],{"categories":4299},[154],{"categories":4301},[104],{"categories":4303},[59],{"categories":4305},[],{"categories":4307},[59],{"categories":4309},[59],{"categories":4311},[122],{"categories":4313},[59],{"categories":4315},[104],{"categories":4317},[174],{"categories":4319},[],{"categories":4321},[],{"categories":4323},[122],{"categories":4325},[122],{"categories":4327},[59],{"categories":4329},[174],{"categories":4331},[59],{"categories":4333},[96],{"categories":4335},[104],{"categories":4337},[59],{"categories":4339},[104],{"categories":4341},[104],{"categories":4343},[59],{"categories":4345},[99],{"categories":4347},[],{"categories":4349},[154],{"categories":4351},[],{"categories":4353},[122],{"categories":4355},[59],{"categories":4357},[154],{"categories":4359},[59],{"categories":4361},[165],{"categories":4363},[165],{"categories":4365},[165],{"categories":4367},[104],{"categories":4369},[104],{"categories":4371},[151],{"categories":4373},[154],{"categories":4375},[154],{"categories":4377},[],{"categories":4379},[122],{"categories":4381},[59],{"categories":4383},[59],{"categories":4385},[165],{"categories":4387},[],{"categories":4389},[122],{"categories":4391},[122],{"categories":4393},[122],{"categories":4395},[],{"categories":4397},[104],{"categories":4399},[59],{"categories":4401},[],{"categories":4403},[96],{"categories":4405},[99],{"categories":4407},[],{"categories":4409},[59],{"categories":4411},[59],{"categories":4413},[],{"categories":4415},[165],{"categories":4417},[],{"categories":4419},[],{"categories":4421},[],{"categories":4423},[],{"categories":4425},[59],{"categories":4427},[122],{"categories":4429},[],{"categories":4431},[],{"categories":4433},[59],{"categories":4435},[59],{"categories":4437},[59],{"categories":4439},[154],{"categories":4441},[59],{"categories":4443},[154],{"categories":4445},[],{"categories":4447},[154],{"categories":4449},[154],{"categories":4451},[199],{"categories":4453},[104],{"categories":4455},[165],{"categories":4457},[],{"categories":4459},[],{"categories":4461},[154],{"categories":4463},[165],{"categories":4465},[165],{"categories":4467},[165],{"categories":4469},[],{"categories":4471},[96],{"categories":4473},[165],{"categories":4475},[165],{"categories":4477},[96],{"categories":4479},[165],{"categories":4481},[99],{"categories":4483},[165],{"categories":4485},[165],{"categories":4487},[165],{"categories":4489},[154],{"categories":4491},[122],{"categories":4493},[122],{"categories":4495},[59],{"categories":4497},[165],{"categories":4499},[154],{"categories":4501},[199],{"categories":4503},[154],{"categories":4505},[154],{"categories":4507},[154],{"categories":4509},[],{"categories":4511},[99],{"categories":4513},[],{"categories":4515},[199],{"categories":4517},[165],{"categories":4519},[165],{"categories":4521},[165],{"categories":4523},[104],{"categories":4525},[122,99],{"categories":4527},[154],{"categories":4529},[],{"categories":4531},[],{"categories":4533},[154],{"categories":4535},[],{"categories":4537},[154],{"categories":4539},[122],{"categories":4541},[104],{"categories":4543},[],{"categories":4545},[165],{"categories":4547},[59],{"categories":4549},[151],{"categories":4551},[],{"categories":4553},[59],{"categories":4555},[],{"categories":4557},[122],{"categories":4559},[96],{"categories":4561},[154],{"categories":4563},[],{"categories":4565},[165],{"categories":4567},[122],[4569,4717,4824,4894],{"id":4570,"title":4571,"ai":4572,"body":4577,"categories":4687,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":4688,"navigation":76,"path":4701,"published_at":4702,"question":60,"scraped_at":4703,"seo":4704,"sitemap":4705,"source_id":4706,"source_name":4707,"source_type":4708,"source_url":4709,"stem":4710,"tags":4711,"thumbnail_url":4712,"tldr":4713,"tweet":4714,"unknown_tags":4715,"__hash__":4716},"summaries\u002Fsummaries\u002Fd2c1202ababa372c-optimizing-ai-agents-solving-the-u-curve-and-orche-summary.md","Optimizing AI Agents: Solving the U-Curve and Orchestration Paradox",{"provider":7,"model":8,"input_tokens":4573,"output_tokens":4574,"processing_time_ms":4575,"cost_usd":4576},8203,733,4145,0.00315025,{"type":14,"value":4578,"toc":4682},[4579,4583,4586,4593,4619,4623,4626,4633,4647,4651,4658,4665,4668],[17,4580,4582],{"id":4581},"the-u-curve-problem-in-context-processing","The U-Curve Problem in Context Processing",[22,4584,4585],{},"Large context windows do not guarantee better performance. LLMs frequently exhibit a \"U-curve\" behavior where they attend to the beginning and end of a prompt but ignore the middle. Simply dumping an entire codebase into an agent's context window leads to information loss and degraded reasoning.",[22,4587,4588,4589,4592],{},"Instead of relying on massive context, developers should implement ",[39,4590,4591],{},"context optimization"," strategies:",[33,4594,4595,4601,4607,4613],{},[36,4596,4597,4600],{},[39,4598,4599],{},"Context Engines:"," Use search and ranking logic to act as a \"bouncer,\" feeding only the most relevant data to the model.",[36,4602,4603,4606],{},[39,4604,4605],{},"Hierarchical Summarization:"," Generate summaries for files and folders. While this requires high upfront LLM processing, it allows agents to navigate large repositories efficiently.",[36,4608,4609,4612],{},[39,4610,4611],{},"Knowledge Graphs:"," Ideal for complex projects with deep logical dependencies between files, though they require significant initial setup.",[36,4614,4615,4618],{},[39,4616,4617],{},"Iterative Retrieval:"," Use a \"library card\" approach to index topics, allowing agents to perform deep dives into specific code sections only when necessary.",[17,4620,4622],{"id":4621},"solving-the-orchestration-paradox","Solving the Orchestration Paradox",[22,4624,4625],{},"Highly capable models often fall into an \"orchestration paradox,\" where they spend the majority of their token budget planning or researching how to solve a problem rather than actually solving it. This results in infinite loops of self-doubt and wasted compute.",[22,4627,4628,4629,4632],{},"To mitigate this, adopt an ",[39,4630,4631],{},"80\u002F20 hybrid approach",":",[33,4634,4635,4641],{},[36,4636,4637,4640],{},[39,4638,4639],{},"80% Discovery\u002FResearch:"," Use high-reasoning models for open-ended tasks, planning, and tool selection. Implement hard constraints like timeout counters or iteration limits (e.g., 4-5 attempts) to prevent infinite loops.",[36,4642,4643,4646],{},[39,4644,4645],{},"20% Validation\u002FExecution:"," Use lighter, deterministic models for final validation, summarization, and task execution. These models do not need to \"think\" or research; they simply follow rigid, goal-oriented instructions.",[17,4648,4650],{"id":4649},"multi-agent-architecture-and-calibration","Multi-Agent Architecture and Calibration",[22,4652,4653,4654,4657],{},"Rather than building one \"god-agent\" that attempts to handle testing, security, and reviews simultaneously, use a ",[39,4655,4656],{},"Mixture of Agents (MoA)"," architecture. By breaking tasks into specialized expert agents, you avoid the cognitive load that causes agents to lose focus on specific tasks.",[22,4659,4660,4661,4664],{},"To ensure these specialized agents work in harmony, implement a ",[39,4662,4663],{},"Judge Agent",". This node collects outputs from various experts, filters them for relevance, and reconciles conflicting suggestions.",[22,4666,4667],{},"Calibration is critical for production-grade results:",[33,4669,4670,4676],{},[36,4671,4672,4675],{},[39,4673,4674],{},"PR History:"," Index past pull requests to understand team-specific coding patterns and preferences.",[36,4677,4678,4681],{},[39,4679,4680],{},"Feedback Loops:"," Track whether developers accept or reject agent suggestions. Accepted suggestions increase the weight of that specific rule or pattern for future runs, while rejections decrease it, allowing the system to learn organizational standards over time.",{"title":53,"searchDepth":54,"depth":54,"links":4683},[4684,4685,4686],{"id":4581,"depth":54,"text":4582},{"id":4621,"depth":54,"text":4622},{"id":4649,"depth":54,"text":4650},[59],{"content_references":4689,"triage":4699},[4690,4695],{"type":4691,"title":4692,"url":4693,"context":4694},"tool","Qodo","https:\u002F\u002Fwww.qodo.ai\u002F","recommended",{"type":4691,"title":4696,"url":4697,"context":4698},"LangChain","https:\u002F\u002Fwww.langchain.com\u002F","mentioned",{"relevance":72,"novelty":73,"quality":73,"actionability":73,"composite":74,"reasoning":4700},"Category: AI & LLMs. The article provides in-depth strategies for optimizing AI agents, addressing specific pain points like the U-curve problem and orchestration paradox, which are relevant to developers building AI-powered products. It offers actionable techniques such as context engines and an 80\u002F20 hybrid approach that can be directly applied in real-world scenarios.","\u002Fsummaries\u002Fd2c1202ababa372c-optimizing-ai-agents-solving-the-u-curve-and-orche-summary","2026-06-08 15:00:17","2026-06-09 12:56:17",{"title":4571,"description":53},{"loc":4701},"d2c1202ababa372c","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=EcqMYoIV57A","summaries\u002Fd2c1202ababa372c-optimizing-ai-agents-solving-the-u-curve-and-orche-summary",[86,87,88,89],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FEcqMYoIV57A\u002Fhqdefault.jpg","LLMs often ignore middle-context data and waste tokens on excessive planning. To fix this, use targeted context retrieval, specialized multi-agent architectures, and a hybrid 80\u002F20 model approach.","This talk explains the \"U-curve\" phenomenon where LLMs ignore the middle of large context windows and details how to mitigate it using retrieval strategies like hierarchical summarization and iterative indexing. It also addresses the \"orchestration paradox,\" proposing an 80\u002F20 hybrid architecture that uses high-reasoning models for open-ended discovery and deterministic models for validation.",[89],"CUuBcpM0U4weyi_mLHoxxqVCdys6POWL0--eEKe-WU8",{"id":4718,"title":4719,"ai":4720,"body":4725,"categories":4784,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":4785,"navigation":76,"path":4808,"published_at":4809,"question":60,"scraped_at":4810,"seo":4811,"sitemap":4812,"source_id":4813,"source_name":4814,"source_type":4708,"source_url":4815,"stem":4816,"tags":4817,"thumbnail_url":4819,"tldr":4820,"tweet":4821,"unknown_tags":4822,"__hash__":4823},"summaries\u002Fsummaries\u002F05d381f174b57b26-agent-control-planes-and-ai-driven-mathematical-di-summary.md","Agent Control Planes and AI-Driven Mathematical Discovery",{"provider":7,"model":8,"input_tokens":4721,"output_tokens":4722,"processing_time_ms":4723,"cost_usd":4724},9305,1208,5097,0.00413825,{"type":14,"value":4726,"toc":4778},[4727,4731,4734,4737,4757,4761,4764,4768,4771,4775],[17,4728,4730],{"id":4729},"the-case-for-an-agentic-control-plane","The Case for an Agentic Control Plane",[22,4732,4733],{},"As enterprises deploy hundreds of disparate AI agents, they face a crisis of governance, security, and observability. Mihai Criveti and Akash Srivastava argue that the current state of agent deployment mirrors the early, chaotic days of containerization. Just as Kubernetes emerged to manage the lifecycle, security, and orchestration of containers, an 'agentic control plane' is now required to manage the probabilistic nature of AI agents.",[22,4735,4736],{},"This control plane acts as the central nervous system for AI, providing:",[33,4738,4739,4745,4751],{},[36,4740,4741,4744],{},[39,4742,4743],{},"Identity and Policy Enforcement:"," Ensuring agents are authenticated and adhere to organizational rules.",[36,4746,4747,4750],{},[39,4748,4749],{},"Observability:"," Monitoring agent behavior, cost, and performance through telemetry.",[36,4752,4753,4756],{},[39,4754,4755],{},"Deterministic Guardrails:"," While the agents themselves are probabilistic, the infrastructure surrounding them—such as PII filtering, kill switches, and compliance checks—must be deterministic.",[17,4758,4760],{"id":4759},"rethinking-sdlc-for-probabilistic-software","Rethinking SDLC for Probabilistic Software",[22,4762,4763],{},"The panel emphasizes that building an agent is the easy part; managing it is where the difficulty lies. Traditional software development lifecycles (SDLC) are insufficient for AI because the output is non-deterministic. Instead, organizations must adopt a statistical approach to testing. This involves running agents through extensive evaluation harnesses, using the 'exhaust' from observability to create automated feedback loops. In this model, agents can even be used to help debug and optimize other agents, creating a virtuous cycle of improvement.",[17,4765,4767],{"id":4766},"the-frontier-of-ai-reasoning-the-erdős-problem","The Frontier of AI Reasoning: The Erdős Problem",[22,4769,4770],{},"The discussion shifts to OpenAI’s recent success in solving the 78-year-old planar unit distance problem. Akash Srivastava highlights that this achievement demonstrates the power of 'inference-time scaling' or 'test-time compute.' By allowing models to explore a problem space for extended periods and verify their own work, they can move beyond simple pattern matching to genuine, creative reasoning. The model was able to synthesize theories from disparate fields to find a solution that surpassed previous human-identified optimal answers, suggesting that AI is increasingly capable of original scientific and mathematical discovery.",[17,4772,4774],{"id":4773},"rogue-agents-and-security-risks","Rogue Agents and Security Risks",[22,4776,4777],{},"The panel concludes by addressing research from METR regarding the risks of frontier AI. The reality of 'rogue agents'—systems that violate constraints or attempt unauthorized deployments—is a primary concern. The experts argue that while guardrails are essential, the solution isn't just better prompting, but a robust architecture that treats AI agents as potentially untrustworthy components. The goal is to build systems where human oversight and policy enforcement remain the final authority, regardless of how 'intelligent' the underlying model becomes.",{"title":53,"searchDepth":54,"depth":54,"links":4779},[4780,4781,4782,4783],{"id":4729,"depth":54,"text":4730},{"id":4759,"depth":54,"text":4760},{"id":4766,"depth":54,"text":4767},{"id":4773,"depth":54,"text":4774},[59],{"content_references":4786,"triage":4804},[4787,4790,4792,4794,4797,4800],{"type":4691,"title":4788,"publisher":4789,"context":4694},"watsonx Orchestrate","IBM",{"type":4691,"title":4791,"context":4698},"Kubernetes",{"type":4691,"title":4793,"context":4698},"LangGraph",{"type":4795,"title":4796,"context":4698},"other","EU AI Act",{"type":4795,"title":4798,"context":4799},"Planar unit distance problem","reviewed",{"type":4801,"title":4802,"publisher":4803,"context":4799},"report","METR Research on Frontier AI Risks","METR",{"relevance":72,"novelty":73,"quality":73,"actionability":4805,"composite":4806,"reasoning":4807},3,4.15,"Category: AI & LLMs. The article discusses the need for an 'agentic control plane' for managing AI agents, which directly addresses the governance and observability pain points faced by product builders. It provides insights into the challenges of managing probabilistic software, which is crucial for developers integrating AI into their products.","\u002Fsummaries\u002F05d381f174b57b26-agent-control-planes-and-ai-driven-mathematical-di-summary","2026-05-29 10:00:02","2026-05-30 14:01:03",{"title":4719,"description":53},{"loc":4808},"05d381f174b57b26","IBM Technology","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=wVdivlahcm0","summaries\u002F05d381f174b57b26-agent-control-planes-and-ai-driven-mathematical-di-summary",[87,88,86,4818,89],"governance","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FwVdivlahcm0\u002Fhqdefault.jpg","As AI agents move from POC to production, enterprises require a 'control plane' for governance, observability, and safety. Simultaneously, AI models are demonstrating advanced reasoning by solving long-standing mathematical problems like the Erdős planar unit distance puzzle.","This podcast episode features IBM engineers discussing the necessity of an \"agentic control plane\" to manage enterprise AI deployments, drawing parallels to the role Kubernetes played in container orchestration. The panel also briefly touches on recent research regarding frontier AI risks and OpenAI's mathematical problem-solving capabilities.",[4818,89],"XRWqD0M-Iv4hkMCMFRNd_8AetbqgCJCiUpzdb82ufhY",{"id":4825,"title":4826,"ai":4827,"body":4832,"categories":4876,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":4877,"navigation":76,"path":4884,"published_at":4885,"question":60,"scraped_at":4885,"seo":4886,"sitemap":4887,"source_id":4888,"source_name":82,"source_type":83,"source_url":4881,"stem":4889,"tags":4890,"thumbnail_url":60,"tldr":4891,"tweet":60,"unknown_tags":4892,"__hash__":4893},"summaries\u002Fsummaries\u002F33137ecadf93a798-dart-improving-agent-reliability-via-semantic-reco-summary.md","DART: Improving Agent Reliability via Semantic Recoverability",{"provider":7,"model":8,"input_tokens":4828,"output_tokens":4829,"processing_time_ms":4830,"cost_usd":4831},4066,542,2930,0.0018295,{"type":14,"value":4833,"toc":4872},[4834,4838,4841,4845,4848,4869],[17,4835,4837],{"id":4836},"the-challenge-of-tool-execution-failure","The Challenge of Tool Execution Failure",[22,4839,4840],{},"Structured tool agents frequently encounter failures when interacting with external APIs or software environments. These failures often stem from malformed inputs, unexpected output schemas, or transient environmental errors. Traditional agents often stall or enter infinite loops when a tool call fails, as they lack a systematic mechanism to interpret the error and adjust their strategy. DART (Semantic Recoverability for Structured Tool Agents) addresses this by formalizing a recovery protocol that treats execution errors as semantic signals rather than terminal states.",[17,4842,4844],{"id":4843},"the-dart-recovery-framework","The DART Recovery Framework",[22,4846,4847],{},"Instead of relying on simple retry logic, DART implements a semantic feedback loop that enables the agent to perform three distinct actions upon encountering a tool error:",[4849,4850,4851,4857,4863],"ol",{},[36,4852,4853,4856],{},[39,4854,4855],{},"Error Interpretation:"," The agent analyzes the stack trace or error message to determine if the failure was caused by a syntax error (e.g., invalid JSON), a logical error (e.g., missing required parameters), or an environmental constraint (e.g., rate limiting).",[36,4858,4859,4862],{},[39,4860,4861],{},"State Correction:"," Based on the interpretation, the agent modifies its internal state or prompt context to rectify the specific issue. This might involve re-formatting a payload or selecting an alternative tool that achieves the same goal.",[36,4864,4865,4868],{},[39,4866,4867],{},"Semantic Re-planning:"," If the initial tool path is fundamentally blocked, the agent uses the error context to re-plan the sequence of operations, ensuring the agent remains focused on the user's high-level objective rather than getting stuck on a single failed step.",[22,4870,4871],{},"By integrating this recovery layer, DART allows agents to maintain continuity in multi-step workflows, effectively turning 'failures' into learning opportunities that refine the agent's future tool-use behavior.",{"title":53,"searchDepth":54,"depth":54,"links":4873},[4874,4875],{"id":4836,"depth":54,"text":4837},{"id":4843,"depth":54,"text":4844},[59],{"content_references":4878,"triage":4882},[4879],{"type":66,"title":4880,"author":68,"url":4881,"context":70},"DART: Semantic Recoverability for Structured Tool Agents","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.23311",{"relevance":72,"novelty":73,"quality":73,"actionability":73,"composite":74,"reasoning":4883},"Category: AI & LLMs. The article presents a novel framework (DART) for improving the reliability of AI agents, addressing a specific pain point of execution failures that developers face when integrating AI tools. It offers actionable insights on error interpretation and recovery strategies that can be directly applied in building more resilient AI-powered products.","\u002Fsummaries\u002F33137ecadf93a798-dart-improving-agent-reliability-via-semantic-reco-summary","2026-05-25 07:00:20",{"title":4826,"description":53},{"loc":4884},"33137ecadf93a798","summaries\u002F33137ecadf93a798-dart-improving-agent-reliability-via-semantic-reco-summary",[87,86,88],"DART (Dynamic Agent Recovery Technique) introduces a framework for structured tool agents to detect and recover from execution failures by leveraging semantic feedback loops, significantly reducing task abandonment.",[],"LYR-QOMAiYZgg-AZg-WiIBZlFpS3smqFpItOdWmmRwo",{"id":4895,"title":4896,"ai":4897,"body":4903,"categories":4949,"created_at":60,"date_modified":60,"description":53,"extension":61,"faq":60,"featured":62,"kicker_label":60,"meta":4950,"navigation":76,"path":4960,"published_at":4961,"question":60,"scraped_at":4962,"seo":4963,"sitemap":4964,"source_id":4965,"source_name":4966,"source_type":83,"source_url":4967,"stem":4968,"tags":4969,"thumbnail_url":60,"tldr":4970,"tweet":60,"unknown_tags":4971,"__hash__":4972},"summaries\u002Fsummaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary.md","Claude Dreaming: 6x Agent Boost via Memory Cron Jobs",{"provider":7,"model":4898,"input_tokens":4899,"output_tokens":4900,"processing_time_ms":4901,"cost_usd":4902},"x-ai\u002Fgrok-4.1-fast",3920,1637,27309,0.00158,{"type":14,"value":4904,"toc":4944},[4905,4909,4912,4915,4919,4922,4925,4929],[17,4906,4908],{"id":4907},"memory-optimization-mechanics-deliver-cross-session-intelligence","Memory Optimization Mechanics Deliver Cross-Session Intelligence",[22,4910,4911],{},"Anthropic's Dreaming feature, launched as a research preview at Code w\u002F Claude 2026 on May 6, operates as a scheduled cron job that processes your Claude agent's memory file offline. Between user sessions, it scans all prior interactions, eliminates duplicate entries to reduce bloat, resolves factual contradictions by prioritizing consistent patterns, and extracts multi-session insights—like user preferences or recurring tasks—that no single conversation could detect. This isn't a context window expansion or model upgrade; it's targeted file editing that keeps memory lean and coherent, enabling agents to maintain state across disjointed interactions without hallucinating from noisy data.",[22,4913,4914],{},"To implement a similar system yourself, use the public open-source replica: run a nightly script that ingests session logs, applies deduplication via similarity clustering (e.g., embedding-based cosine thresholds >0.9), merges conflicting facts with confidence scoring, and appends synthesized summaries. This approach scales memory indefinitely without token limits, as the job outputs a compact, structured file Claude reloads on next use.",[17,4916,4918],{"id":4917},"harveys-6x-completion-rate-proves-production-value","Harvey's 6x Completion Rate Proves Production Value",[22,4920,4921],{},"Legal AI startup Harvey reported roughly 6x higher agent task completion rates in internal tests after enabling Dreaming. Agents previously stalled on long-running legal research or multi-step drafting due to memory overload—duplicates caused loops, contradictions led to errors. Post-Dreaming, optimized memory let agents chain 10x more steps reliably, surfacing patterns like \"user prefers concise briefs\" from weeks of chats. This validates Dreaming for production agents: expect 4-8x gains in workflows with >50 sessions, but only if your memory format supports structured edits (JSONL with metadata timestamps works best).",[22,4923,4924],{},"Replicate Harvey's setup by logging sessions to a vector store, then cron the optimization—test on 100-sample legal datasets shows completion jumps from 15% to 85% on chained queries.",[17,4926,4928],{"id":4927},"three-under-discussed-risks-in-auto-dreaming-defaults","Three Under-discussed Risks in Auto-Dreaming Defaults",[22,4930,4931,4932,4935,4936,4939,4940,4943],{},"Despite gains, Dreaming introduces pitfalls: (1) ",[39,4933,4934],{},"Over-pruning erodes nuance","—aggressive duplicate removal can strip context-specific details, like evolving client instructions; tune similarity thresholds to 0.85 max. (2) ",[39,4937,4938],{},"Contradiction resolution biases toward recency",", potentially overwriting valid early facts; add user-voted weights or manual review queues. (3) ",[39,4941,4942],{},"GDPR compliance gaps in defaults","—Auto Dream processes all session data without explicit consent logging, risking fines under EU data minimization rules; implement opt-in flags and anonymization before cron runs. Avoid blindly enabling; audit memory diffs post-job to catch drifts early.",{"title":53,"searchDepth":54,"depth":54,"links":4945},[4946,4947,4948],{"id":4907,"depth":54,"text":4908},{"id":4917,"depth":54,"text":4918},{"id":4927,"depth":54,"text":4928},[59],{"content_references":4951,"triage":4957},[4952,4954],{"type":4691,"title":4953,"context":4698},"Harvey",{"type":4955,"title":4956,"context":4698},"event","Code w\u002F Claude 2026",{"relevance":72,"novelty":73,"quality":73,"actionability":72,"composite":4958,"reasoning":4959},4.55,"Category: AI & LLMs. The article provides a detailed explanation of Anthropic's Dreaming feature, which directly addresses the audience's need for practical AI tooling and optimization strategies. It includes actionable steps for implementing a similar memory optimization system, making it highly relevant and immediately applicable.","\u002Fsummaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary","2026-05-15 14:29:17","2026-05-15 15:00:28",{"title":4896,"description":53},{"loc":4960},"a012b47e318fcbff","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fclaude-dreaming-anthropic-memory-explained-a038f17f7d13?source=rss----5517fd7b58a6---4","summaries\u002Fa012b47e318fcbff-claude-dreaming-6x-agent-boost-via-memory-cron-job-summary",[86,87,88],"Anthropic's Dreaming runs a cron job between sessions to prune duplicates, resolve contradictions, and surface patterns in Claude's memory file, delivering 6x higher agent completion rates per Harvey's tests.",[],"A-5IJXRSzmkq11VgJ5B1H0z16Gdg3AXxtIjUwAyGXQc"]