[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-ce2a9e080311d673-optimizing-multi-agent-systems-via-action-state-co-summary":3,"summaries-facets-categories":105,"summary-related-ce2a9e080311d673-optimizing-multi-agent-systems-via-action-state-co-summary":4580},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":77,"navigation":89,"path":90,"published_at":91,"question":74,"scraped_at":91,"seo":92,"sitemap":93,"source_id":94,"source_name":95,"source_type":96,"source_url":82,"stem":97,"tags":98,"thumbnail_url":74,"tldr":102,"tweet":74,"unknown_tags":103,"__hash__":104},"summaries\u002Fsummaries\u002Fce2a9e080311d673-optimizing-multi-agent-systems-via-action-state-co-summary.md","Optimizing Multi-Agent Systems via Action-State Communication",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4090,510,3118,0.0017875,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,35,58,62],[17,18,20],"h2",{"id":19},"the-efficiency-problem-in-multi-agent-communication","The Efficiency Problem in Multi-Agent Communication",[22,23,24],"p",{},"In complex multi-agent environments, naive communication strategies—where agents broadcast large amounts of raw state data—lead to significant bandwidth bottlenecks and increased latency. The core insight of this research is that agents do not need to share their entire internal state to achieve coordination. Instead, they should adopt an 'action-state' communication protocol, which focuses on transmitting only the information necessary to influence the actions of peers.",[17,26,28],{"id":27},"implementing-action-state-protocols","Implementing Action-State Protocols",[22,30,31],{},"The proposed framework shifts the focus from state-sharing to action-oriented signaling. By distilling internal states into compact, task-relevant messages, agents can maintain high performance while drastically reducing the overhead of inter-agent communication. This approach treats communication as a resource-constrained optimization problem, where the goal is to maximize the utility of the shared information relative to the cost of transmission.",[22,33,34],{},"Key benefits of this approach include:",[36,37,38,46,52],"ul",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Reduced Bandwidth:"," By filtering out redundant state information, systems can scale to larger numbers of agents without saturating the network.",[39,47,48,51],{},[42,49,50],{},"Improved Coordination:"," Agents focus on signaling their intended actions or constraints, which directly informs the decision-making processes of other agents.",[39,53,54,57],{},[42,55,56],{},"Lower Latency:"," Smaller message sizes allow for faster processing and more frequent updates, enabling more responsive multi-agent behaviors.",[17,59,61],{"id":60},"strategic-implications-for-ai-builders","Strategic Implications for AI Builders",[22,63,64],{},"For developers building multi-agent systems, the research suggests that designing a communication protocol is as critical as designing the agents themselves. Rather than relying on LLMs to 'chat' freely, engineers should define structured communication schemas that force agents to output only the specific action-state variables required for the task. This structured approach ensures that the system remains predictable, efficient, and capable of scaling in production environments.",{"title":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":60,"depth":67,"text":61},[73],"AI & LLMs",null,"md",false,{"content_references":78,"triage":84},[79],{"type":80,"title":81,"url":82,"context":83},"paper","What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.05304","reviewed",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":88},5,4,4.35,"Category: AI & LLMs. The article provides a deep dive into optimizing communication in multi-agent systems, which is crucial for AI builders. It offers actionable insights on implementing an 'action-state' communication protocol, addressing a specific pain point of efficiency in AI systems.",true,"\u002Fsummaries\u002Fce2a9e080311d673-optimizing-multi-agent-systems-via-action-state-co-summary","2026-06-06 16:11:59",{"title":5,"description":66},{"loc":90},"ce2a9e080311d673","arXiv cs.AI","article","summaries\u002Fce2a9e080311d673-optimizing-multi-agent-systems-via-action-state-co-summary",[99,100,101],"agents","multi-agent-systems","ai-optimization","Efficient multi-agent systems require agents to communicate only essential action-state information rather than raw data, significantly reducing bandwidth and improving task coordination.",[100,101],"MMcps_DcCdYLpDNtF-jNk0hhzw7qeWI1TrmaXuT43lI",[106,109,112,114,117,120,122,124,126,128,130,132,135,137,139,141,143,145,147,149,151,153,155,157,159,161,164,167,169,171,173,175,178,180,182,184,187,189,191,193,195,197,199,201,203,205,207,209,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578],{"categories":107},[108],"Developer Productivity",{"categories":110},[111],"Business & SaaS",{"categories":113},[73],{"categories":115},[116],"AI Automation",{"categories":118},[119],"Product Strategy",{"categories":121},[73],{"categories":123},[108],{"categories":125},[111],{"categories":127},[],{"categories":129},[73],{"categories":131},[],{"categories":133},[134],"AI News & Trends",{"categories":136},[116],{"categories":138},[116],{"categories":140},[134],{"categories":142},[116],{"categories":144},[116],{"categories":146},[116],{"categories":148},[73],{"categories":150},[73],{"categories":152},[73],{"categories":154},[134],{"categories":156},[73],{"categories":158},[73],{"categories":160},[],{"categories":162},[163],"Design & Frontend",{"categories":165},[166],"Data Science & Visualization",{"categories":168},[134],{"categories":170},[73],{"categories":172},[],{"categories":174},[73],{"categories":176},[177],"Software Engineering",{"categories":179},[73],{"categories":181},[116],{"categories":183},[73],{"categories":185},[186],"Marketing & Growth",{"categories":188},[163],{"categories":190},[73],{"categories":192},[116],{"categories":194},[],{"categories":196},[],{"categories":198},[163],{"categories":200},[116],{"categories":202},[108],{"categories":204},[177],{"categories":206},[163],{"categories":208},[73],{"categories":210},[211],"DevOps & Cloud",{"categories":213},[116],{"categories":215},[134],{"categories":217},[73],{"categories":219},[],{"categories":221},[],{"categories":223},[116],{"categories":225},[177],{"categories":227},[],{"categories":229},[111],{"categories":231},[],{"categories":233},[],{"categories":235},[73],{"categories":237},[116],{"categories":239},[73],{"categories":241},[73],{"categories":243},[116],{"categories":245},[73],{"categories":247},[73],{"categories":249},[73],{"categories":251},[],{"categories":253},[177],{"categories":255},[],{"categories":257},[],{"categories":259},[177],{"categories":261},[],{"categories":263},[177],{"categories":265},[73],{"categories":267},[73],{"categories":269},[186],{"categories":271},[163],{"categories":273},[163],{"categories":275},[73],{"categories":277},[177],{"categories":279},[116],{"categories":281},[177],{"categories":283},[73],{"categories":285},[73],{"categories":287},[116],{"categories":289},[116],{"categories":291},[166],{"categories":293},[134],{"categories":295},[116],{"categories":297},[116],{"categories":299},[186],{"categories":301},[116],{"categories":303},[119],{"categories":305},[177],{"categories":307},[],{"categories":309},[116],{"categories":311},[],{"categories":313},[116],{"categories":315},[177],{"categories":317},[211],{"categories":319},[163],{"categories":321},[73],{"categories":323},[],{"categories":325},[177],{"categories":327},[73],{"categories":329},[],{"categories":331},[116],{"categories":333},[],{"categories":335},[73],{"categories":337},[],{"categories":339},[108],{"categories":341},[177],{"categories":343},[111],{"categories":345},[73],{"categories":347},[73],{"categories":349},[134],{"categories":351},[73],{"categories":353},[],{"categories":355},[73],{"categories":357},[],{"categories":359},[177],{"categories":361},[166],{"categories":363},[],{"categories":365},[73],{"categories":367},[163],{"categories":369},[],{"categories":371},[163],{"categories":373},[116],{"categories":375},[],{"categories":377},[73],{"categories":379},[73],{"categories":381},[116],{"categories":383},[134],{"categories":385},[111],{"categories":387},[73],{"categories":389},[],{"categories":391},[177],{"categories":393},[116],{"categories":395},[73],{"categories":397},[119],{"categories":399},[],{"categories":401},[73],{"categories":403},[119],{"categories":405},[116],{"categories":407},[73],{"categories":409},[116],{"categories":411},[],{"categories":413},[166],{"categories":415},[73],{"categories":417},[],{"categories":419},[108],{"categories":421},[73],{"categories":423},[111],{"categories":425},[73],{"categories":427},[116],{"categories":429},[73],{"categories":431},[177],{"categories":433},[73],{"categories":435},[],{"categories":437},[],{"categories":439},[73],{"categories":441},[73],{"categories":443},[],{"categories":445},[163],{"categories":447},[],{"categories":449},[73],{"categories":451},[],{"categories":453},[116],{"categories":455},[73],{"categories":457},[163],{"categories":459},[],{"categories":461},[73],{"categories":463},[73],{"categories":465},[111],{"categories":467},[116],{"categories":469},[73],{"categories":471},[73],{"categories":473},[163],{"categories":475},[116],{"categories":477},[],{"categories":479},[116],{"categories":481},[],{"categories":483},[134],{"categories":485},[],{"categories":487},[73],{"categories":489},[111,186],{"categories":491},[],{"categories":493},[73],{"categories":495},[116],{"categories":497},[],{"categories":499},[],{"categories":501},[163],{"categories":503},[73],{"categories":505},[],{"categories":507},[73],{"categories":509},[211],{"categories":511},[],{"categories":513},[134],{"categories":515},[163],{"categories":517},[],{"categories":519},[134],{"categories":521},[73],{"categories":523},[116],{"categories":525},[134],{"categories":527},[73],{"categories":529},[186],{"categories":531},[],{"categories":533},[111],{"categories":535},[177],{"categories":537},[73],{"categories":539},[116],{"categories":541},[],{"categories":543},[73,211],{"categories":545},[73],{"categories":547},[73],{"categories":549},[73],{"categories":551},[116],{"categories":553},[73,177],{"categories":555},[166],{"categories":557},[73],{"categories":559},[177],{"categories":561},[186],{"categories":563},[116],{"categories":565},[73],{"categories":567},[116],{"categories":569},[],{"categories":571},[116],{"categories":573},[73],{"categories":575},[73,111],{"categories":577},[111],{"categories":579},[],{"categories":581},[163],{"categories":583},[163],{"categories":585},[],{"categories":587},[],{"categories":589},[134],{"categories":591},[],{"categories":593},[108],{"categories":595},[73],{"categories":597},[177],{"categories":599},[73],{"categories":601},[163],{"categories":603},[116],{"categories":605},[177],{"categories":607},[134],{"categories":609},[163],{"categories":611},[],{"categories":613},[73],{"categories":615},[73],{"categories":617},[73],{"categories":619},[73],{"categories":621},[73],{"categories":623},[73],{"categories":625},[134],{"categories":627},[108],{"categories":629},[73],{"categories":631},[116],{"categories":633},[211],{"categories":635},[163],{"categories":637},[73],{"categories":639},[116],{"categories":641},[],{"categories":643},[],{"categories":645},[163],{"categories":647},[134],{"categories":649},[166],{"categories":651},[],{"categories":653},[73],{"categories":655},[73],{"categories":657},[111],{"categories":659},[73],{"categories":661},[73],{"categories":663},[73],{"categories":665},[134],{"categories":667},[163],{"categories":669},[],{"categories":671},[116],{"categories":673},[177],{"categories":675},[],{"categories":677},[73],{"categories":679},[73],{"categories":681},[116],{"categories":683},[177],{"categories":685},[73],{"categories":687},[],{"categories":689},[],{"categories":691},[73],{"categories":693},[],{"categories":695},[119],{"categories":697},[111],{"categories":699},[116],{"categories":701},[116],{"categories":703},[],{"categories":705},[108],{"categories":707},[73],{"categories":709},[111],{"categories":711},[134],{"categories":713},[108],{"categories":715},[],{"categories":717},[73],{"categories":719},[],{"categories":721},[],{"categories":723},[134],{"categories":725},[134],{"categories":727},[],{"categories":729},[163],{"categories":731},[177],{"categories":733},[],{"categories":735},[111],{"categories":737},[],{"categories":739},[],{"categories":741},[108],{"categories":743},[],{"categories":745},[186],{"categories":747},[116],{"categories":749},[111],{"categories":751},[116],{"categories":753},[177],{"categories":755},[],{"categories":757},[119],{"categories":759},[163],{"categories":761},[177],{"categories":763},[73],{"categories":765},[116],{"categories":767},[111],{"categories":769},[73],{"categories":771},[],{"categories":773},[],{"categories":775},[177],{"categories":777},[166],{"categories":779},[119],{"categories":781},[116],{"categories":783},[73],{"categories":785},[],{"categories":787},[211],{"categories":789},[],{"categories":791},[116],{"categories":793},[],{"categories":795},[108],{"categories":797},[],{"categories":799},[73],{"categories":801},[73],{"categories":803},[163],{"categories":805},[186],{"categories":807},[177],{"categories":809},[116],{"categories":811},[],{"categories":813},[177],{"categories":815},[108],{"categories":817},[],{"categories":819},[134],{"categories":821},[73,211],{"categories":823},[73],{"categories":825},[134],{"categories":827},[73],{"categories":829},[73],{"categories":831},[111],{"categories":833},[73],{"categories":835},[],{"categories":837},[73],{"categories":839},[111],{"categories":841},[73],{"categories":843},[],{"categories":845},[116],{"categories":847},[177],{"categories":849},[163],{"categories":851},[134],{"categories":853},[166],{"categories":855},[73],{"categories":857},[108],{"categories":859},[73],{"categories":861},[116],{"categories":863},[177],{"categories":865},[],{"categories":867},[],{"categories":869},[116],{"categories":871},[119],{"categories":873},[],{"categories":875},[73],{"categories":877},[],{"categories":879},[163],{"categories":881},[116],{"categories":883},[177],{"categories":885},[163],{"categories":887},[73],{"categories":889},[163],{"categories":891},[],{"categories":893},[],{"categories":895},[134],{"categories":897},[116],{"categories":899},[116],{"categories":901},[73],{"categories":903},[73],{"categories":905},[73],{"categories":907},[111],{"categories":909},[73],{"categories":911},[],{"categories":913},[177],{"categories":915},[177],{"categories":917},[111],{"categories":919},[],{"categories":921},[73],{"categories":923},[73],{"categories":925},[116],{"categories":927},[108],{"categories":929},[111],{"categories":931},[134],{"categories":933},[116],{"categories":935},[186],{"categories":937},[73],{"categories":939},[116],{"categories":941},[],{"categories":943},[163],{"categories":945},[],{"categories":947},[73],{"categories":949},[73],{"categories":951},[],{"categories":953},[111],{"categories":955},[116],{"categories":957},[],{"categories":959},[73],{"categories":961},[211],{"categories":963},[166],{"categories":965},[177],{"categories":967},[186],{"categories":969},[73],{"categories":971},[163],{"categories":973},[73],{"categories":975},[177],{"categories":977},[116],{"categories":979},[],{"categories":981},[],{"categories":983},[116],{"categories":985},[108],{"categories":987},[116],{"categories":989},[119],{"categories":991},[111],{"categories":993},[],{"categories":995},[73],{"categories":997},[119],{"categories":999},[73],{"categories":1001},[73],{"categories":1003},[73],{"categories":1005},[73],{"categories":1007},[186],{"categories":1009},[73],{"categories":1011},[73],{"categories":1013},[73],{"categories":1015},[163],{"categories":1017},[116],{"categories":1019},[],{"categories":1021},[],{"categories":1023},[211],{"categories":1025},[177],{"categories":1027},[],{"categories":1029},[116],{"categories":1031},[73],{"categories":1033},[163,73],{"categories":1035},[108],{"categories":1037},[],{"categories":1039},[73],{"categories":1041},[108],{"categories":1043},[163],{"categories":1045},[116],{"categories":1047},[177],{"categories":1049},[],{"categories":1051},[73],{"categories":1053},[],{"categories":1055},[],{"categories":1057},[73],{"categories":1059},[108],{"categories":1061},[73],{"categories":1063},[],{"categories":1065},[116],{"categories":1067},[119],{"categories":1069},[73],{"categories":1071},[73],{"categories":1073},[73],{"categories":1075},[163],{"categories":1077},[116],{"categories":1079},[211],{"categories":1081},[163],{"categories":1083},[111],{"categories":1085},[116],{"categories":1087},[73],{"categories":1089},[73],{"categories":1091},[73],{"categories":1093},[116],{"categories":1095},[177],{"categories":1097},[73],{"categories":1099},[119],{"categories":1101},[],{"categories":1103},[134],{"categories":1105},[],{"categories":1107},[119],{"categories":1109},[116],{"categories":1111},[163],{"categories":1113},[73],{"categories":1115},[73],{"categories":1117},[116],{"categories":1119},[177],{"categories":1121},[163],{"categories":1123},[116],{"categories":1125},[134],{"categories":1127},[],{"categories":1129},[73],{"categories":1131},[],{"categories":1133},[73],{"categories":1135},[163],{"categories":1137},[73],{"categories":1139},[108],{"categories":1141},[134],{"categories":1143},[73],{"categories":1145},[186],{"categories":1147},[73],{"categories":1149},[73],{"categories":1151},[116],{"categories":1153},[116],{"categories":1155},[73],{"categories":1157},[116],{"categories":1159},[116],{"categories":1161},[73],{"categories":1163},[73],{"categories":1165},[116],{"categories":1167},[163],{"categories":1169},[73],{"categories":1171},[73],{"categories":1173},[],{"categories":1175},[],{"categories":1177},[177],{"categories":1179},[],{"categories":1181},[108],{"categories":1183},[211],{"categories":1185},[73],{"categories":1187},[],{"categories":1189},[108],{"categories":1191},[111],{"categories":1193},[73],{"categories":1195},[186],{"categories":1197},[],{"categories":1199},[111],{"categories":1201},[],{"categories":1203},[73],{"categories":1205},[177],{"categories":1207},[],{"categories":1209},[],{"categories":1211},[],{"categories":1213},[],{"categories":1215},[73],{"categories":1217},[116],{"categories":1219},[211],{"categories":1221},[108],{"categories":1223},[177],{"categories":1225},[73],{"categories":1227},[73],{"categories":1229},[177],{"categories":1231},[119],{"categories":1233},[73],{"categories":1235},[186],{"categories":1237},[111],{"categories":1239},[73],{"categories":1241},[73],{"categories":1243},[73],{"categories":1245},[73,108],{"categories":1247},[177],{"categories":1249},[177],{"categories":1251},[163],{"categories":1253},[116],{"categories":1255},[73],{"categories":1257},[73],{"categories":1259},[],{"categories":1261},[],{"categories":1263},[73],{"categories":1265},[],{"categories":1267},[177],{"categories":1269},[166],{"categories":1271},[134],{"categories":1273},[163],{"categories":1275},[73],{"categories":1277},[177],{"categories":1279},[],{"categories":1281},[73],{"categories":1283},[73],{"categories":1285},[],{"categories":1287},[116],{"categories":1289},[73],{"categories":1291},[73],{"categories":1293},[],{"categories":1295},[116],{"categories":1297},[73],{"categories":1299},[111],{"categories":1301},[],{"categories":1303},[108],{"categories":1305},[73],{"categories":1307},[108],{"categories":1309},[73],{"categories":1311},[177],{"categories":1313},[186],{"categories":1315},[116],{"categories":1317},[116],{"categories":1319},[73,163],{"categories":1321},[134],{"categories":1323},[73],{"categories":1325},[163],{"categories":1327},[],{"categories":1329},[177],{"categories":1331},[211],{"categories":1333},[163],{"categories":1335},[177],{"categories":1337},[73],{"categories":1339},[73],{"categories":1341},[116],{"categories":1343},[],{"categories":1345},[],{"categories":1347},[],{"categories":1349},[],{"categories":1351},[177],{"categories":1353},[116],{"categories":1355},[116],{"categories":1357},[211],{"categories":1359},[73],{"categories":1361},[73],{"categories":1363},[116],{"categories":1365},[73],{"categories":1367},[73],{"categories":1369},[],{"categories":1371},[163],{"categories":1373},[177],{"categories":1375},[],{"categories":1377},[],{"categories":1379},[116],{"categories":1381},[],{"categories":1383},[],{"categories":1385},[186],{"categories":1387},[186],{"categories":1389},[116],{"categories":1391},[177],{"categories":1393},[],{"categories":1395},[73],{"categories":1397},[73],{"categories":1399},[177],{"categories":1401},[163],{"categories":1403},[163],{"categories":1405},[116],{"categories":1407},[108],{"categories":1409},[73],{"categories":1411},[73],{"categories":1413},[163],{"categories":1415},[163],{"categories":1417},[116],{"categories":1419},[116],{"categories":1421},[73],{"categories":1423},[],{"categories":1425},[73],{"categories":1427},[],{"categories":1429},[73],{"categories":1431},[116],{"categories":1433},[134],{"categories":1435},[177],{"categories":1437},[73],{"categories":1439},[108],{"categories":1441},[73],{"categories":1443},[],{"categories":1445},[116],{"categories":1447},[116],{"categories":1449},[],{"categories":1451},[73],{"categories":1453},[108],{"categories":1455},[73],{"categories":1457},[108],{"categories":1459},[108],{"categories":1461},[],{"categories":1463},[177],{"categories":1465},[],{"categories":1467},[116],{"categories":1469},[134],{"categories":1471},[73],{"categories":1473},[116],{"categories":1475},[73],{"categories":1477},[116],{"categories":1479},[73],{"categories":1481},[134],{"categories":1483},[166],{"categories":1485},[73],{"categories":1487},[119],{"categories":1489},[134],{"categories":1491},[163],{"categories":1493},[],{"categories":1495},[],{"categories":1497},[134],{"categories":1499},[],{"categories":1501},[],{"categories":1503},[],{"categories":1505},[],{"categories":1507},[177],{"categories":1509},[177],{"categories":1511},[166],{"categories":1513},[],{"categories":1515},[73],{"categories":1517},[73],{"categories":1519},[166],{"categories":1521},[177],{"categories":1523},[],{"categories":1525},[],{"categories":1527},[116],{"categories":1529},[116],{"categories":1531},[177],{"categories":1533},[116],{"categories":1535},[134],{"categories":1537},[134],{"categories":1539},[116],{"categories":1541},[116],{"categories":1543},[108],{"categories":1545},[73,211],{"categories":1547},[],{"categories":1549},[163],{"categories":1551},[177],{"categories":1553},[108],{"categories":1555},[116],{"categories":1557},[163],{"categories":1559},[],{"categories":1561},[116],{"categories":1563},[116],{"categories":1565},[73],{"categories":1567},[186],{"categories":1569},[177],{"categories":1571},[163],{"categories":1573},[73],{"categories":1575},[],{"categories":1577},[116],{"categories":1579},[163],{"categories":1581},[73],{"categories":1583},[116],{"categories":1585},[116],{"categories":1587},[116],{"categories":1589},[186],{"categories":1591},[166],{"categories":1593},[73],{"categories":1595},[116],{"categories":1597},[73],{"categories":1599},[],{"categories":1601},[186],{"categories":1603},[134],{"categories":1605},[177],{"categories":1607},[73],{"categories":1609},[116],{"categories":1611},[],{"categories":1613},[],{"categories":1615},[73],{"categories":1617},[116],{"categories":1619},[73],{"categories":1621},[134],{"categories":1623},[73],{"categories":1625},[116],{"categories":1627},[116],{"categories":1629},[],{"categories":1631},[73],{"categories":1633},[],{"categories":1635},[],{"categories":1637},[73],{"categories":1639},[116],{"categories":1641},[],{"categories":1643},[],{"categories":1645},[166],{"categories":1647},[73],{"categories":1649},[166],{"categories":1651},[134],{"categories":1653},[73],{"categories":1655},[73],{"categories":1657},[116],{"categories":1659},[73],{"categories":1661},[116],{"categories":1663},[],{"categories":1665},[],{"categories":1667},[211],{"categories":1669},[73],{"categories":1671},[],{"categories":1673},[],{"categories":1675},[108],{"categories":1677},[],{"categories":1679},[],{"categories":1681},[73],{"categories":1683},[],{"categories":1685},[],{"categories":1687},[177],{"categories":1689},[134],{"categories":1691},[186],{"categories":1693},[111],{"categories":1695},[73],{"categories":1697},[73],{"categories":1699},[111],{"categories":1701},[],{"categories":1703},[163],{"categories":1705},[116],{"categories":1707},[111],{"categories":1709},[73],{"categories":1711},[73],{"categories":1713},[108],{"categories":1715},[73],{"categories":1717},[],{"categories":1719},[108],{"categories":1721},[73],{"categories":1723},[186],{"categories":1725},[116],{"categories":1727},[134],{"categories":1729},[73],{"categories":1731},[111],{"categories":1733},[73],{"categories":1735},[73],{"categories":1737},[116],{"categories":1739},[],{"categories":1741},[73],{"categories":1743},[108],{"categories":1745},[73],{"categories":1747},[73],{"categories":1749},[],{"categories":1751},[134],{"categories":1753},[73],{"categories":1755},[73],{"categories":1757},[],{"categories":1759},[111],{"categories":1761},[111],{"categories":1763},[119],{"categories":1765},[73],{"categories":1767},[73],{"categories":1769},[],{"categories":1771},[177],{"categories":1773},[],{"categories":1775},[],{"categories":1777},[73],{"categories":1779},[134],{"categories":1781},[],{"categories":1783},[211],{"categories":1785},[73],{"categories":1787},[73],{"categories":1789},[],{"categories":1791},[73],{"categories":1793},[177],{"categories":1795},[73],{"categories":1797},[73],{"categories":1799},[73,211],{"categories":1801},[73],{"categories":1803},[73],{"categories":1805},[163],{"categories":1807},[116],{"categories":1809},[],{"categories":1811},[116],{"categories":1813},[116],{"categories":1815},[73],{"categories":1817},[73],{"categories":1819},[73],{"categories":1821},[73],{"categories":1823},[108],{"categories":1825},[166],{"categories":1827},[108],{"categories":1829},[177],{"categories":1831},[163],{"categories":1833},[116],{"categories":1835},[],{"categories":1837},[73],{"categories":1839},[134],{"categories":1841},[73],{"categories":1843},[116],{"categories":1845},[73],{"categories":1847},[73],{"categories":1849},[111],{"categories":1851},[],{"categories":1853},[211],{"categories":1855},[163],{"categories":1857},[163],{"categories":1859},[177],{"categories":1861},[116],{"categories":1863},[73],{"categories":1865},[111],{"categories":1867},[134],{"categories":1869},[163],{"categories":1871},[116],{"categories":1873},[73],{"categories":1875},[],{"categories":1877},[73],{"categories":1879},[73],{"categories":1881},[],{"categories":1883},[],{"categories":1885},[73],{"categories":1887},[73],{"categories":1889},[73],{"categories":1891},[73],{"categories":1893},[116],{"categories":1895},[73],{"categories":1897},[73],{"categories":1899},[],{"categories":1901},[166],{"categories":1903},[73],{"categories":1905},[116],{"categories":1907},[],{"categories":1909},[],{"categories":1911},[73],{"categories":1913},[73],{"categories":1915},[73],{"categories":1917},[134],{"categories":1919},[],{"categories":1921},[163],{"categories":1923},[73],{"categories":1925},[211],{"categories":1927},[134],{"categories":1929},[177],{"categories":1931},[177],{"categories":1933},[134],{"categories":1935},[134],{"categories":1937},[211],{"categories":1939},[],{"categories":1941},[134],{"categories":1943},[73],{"categories":1945},[108],{"categories":1947},[73],{"categories":1949},[134],{"categories":1951},[],{"categories":1953},[73],{"categories":1955},[177],{"categories":1957},[166],{"categories":1959},[73],{"categories":1961},[134],{"categories":1963},[177],{"categories":1965},[116],{"categories":1967},[134],{"categories":1969},[211],{"categories":1971},[116],{"categories":1973},[73],{"categories":1975},[73],{"categories":1977},[73],{"categories":1979},[],{"categories":1981},[111],{"categories":1983},[],{"categories":1985},[],{"categories":1987},[73],{"categories":1989},[73],{"categories":1991},[73],{"categories":1993},[73],{"categories":1995},[],{"categories":1997},[166],{"categories":1999},[108],{"categories":2001},[116],{"categories":2003},[163],{"categories":2005},[],{"categories":2007},[73],{"categories":2009},[177],{"categories":2011},[73],{"categories":2013},[211],{"categories":2015},[211],{"categories":2017},[],{"categories":2019},[116],{"categories":2021},[134],{"categories":2023},[134],{"categories":2025},[73],{"categories":2027},[116],{"categories":2029},[],{"categories":2031},[163],{"categories":2033},[73],{"categories":2035},[73],{"categories":2037},[],{"categories":2039},[73],{"categories":2041},[],{"categories":2043},[73],{"categories":2045},[177],{"categories":2047},[211],{"categories":2049},[73],{"categories":2051},[177],{"categories":2053},[111],{"categories":2055},[73],{"categories":2057},[],{"categories":2059},[116],{"categories":2061},[108],{"categories":2063},[108],{"categories":2065},[],{"categories":2067},[73],{"categories":2069},[73],{"categories":2071},[177],{"categories":2073},[163],{"categories":2075},[73],{"categories":2077},[116],{"categories":2079},[],{"categories":2081},[73],{"categories":2083},[73],{"categories":2085},[116],{"categories":2087},[],{"categories":2089},[116],{"categories":2091},[177],{"categories":2093},[],{"categories":2095},[73],{"categories":2097},[116],{"categories":2099},[111],{"categories":2101},[],{"categories":2103},[73],{"categories":2105},[],{"categories":2107},[73],{"categories":2109},[73],{"categories":2111},[],{"categories":2113},[73],{"categories":2115},[73],{"categories":2117},[134],{"categories":2119},[73],{"categories":2121},[73],{"categories":2123},[108],{"categories":2125},[73],{"categories":2127},[166],{"categories":2129},[134],{"categories":2131},[116],{"categories":2133},[],{"categories":2135},[73],{"categories":2137},[163],{"categories":2139},[186],{"categories":2141},[73],{"categories":2143},[116],{"categories":2145},[],{"categories":2147},[],{"categories":2149},[],{"categories":2151},[108],{"categories":2153},[134],{"categories":2155},[116],{"categories":2157},[73],{"categories":2159},[73],{"categories":2161},[163],{"categories":2163},[116],{"categories":2165},[],{"categories":2167},[116],{"categories":2169},[116],{"categories":2171},[],{"categories":2173},[73],{"categories":2175},[116],{"categories":2177},[73],{"categories":2179},[],{"categories":2181},[73],{"categories":2183},[73],{"categories":2185},[134],{"categories":2187},[163],{"categories":2189},[116],{"categories":2191},[163],{"categories":2193},[111],{"categories":2195},[],{"categories":2197},[],{"categories":2199},[73],{"categories":2201},[108],{"categories":2203},[134],{"categories":2205},[],{"categories":2207},[163],{"categories":2209},[],{"categories":2211},[177],{"categories":2213},[177],{"categories":2215},[163],{"categories":2217},[177],{"categories":2219},[],{"categories":2221},[73],{"categories":2223},[73],{"categories":2225},[],{"categories":2227},[186],{"categories":2229},[73],{"categories":2231},[211],{"categories":2233},[177],{"categories":2235},[],{"categories":2237},[116],{"categories":2239},[73],{"categories":2241},[108],{"categories":2243},[116],{"categories":2245},[116],{"categories":2247},[73],{"categories":2249},[73],{"categories":2251},[],{"categories":2253},[108],{"categories":2255},[73],{"categories":2257},[111],{"categories":2259},[177],{"categories":2261},[163],{"categories":2263},[],{"categories":2265},[],{"categories":2267},[],{"categories":2269},[116],{"categories":2271},[177],{"categories":2273},[163],{"categories":2275},[134],{"categories":2277},[73],{"categories":2279},[134],{"categories":2281},[116],{"categories":2283},[163],{"categories":2285},[73],{"categories":2287},[],{"categories":2289},[73],{"categories":2291},[163],{"categories":2293},[134],{"categories":2295},[111],{"categories":2297},[177],{"categories":2299},[73],{"categories":2301},[134],{"categories":2303},[186],{"categories":2305},[],{"categories":2307},[],{"categories":2309},[166],{"categories":2311},[73,177],{"categories":2313},[134],{"categories":2315},[73],{"categories":2317},[73],{"categories":2319},[116],{"categories":2321},[73],{"categories":2323},[116],{"categories":2325},[73],{"categories":2327},[73],{"categories":2329},[],{"categories":2331},[177],{"categories":2333},[73],{"categories":2335},[166],{"categories":2337},[116],{"categories":2339},[186],{"categories":2341},[211],{"categories":2343},[],{"categories":2345},[108],{"categories":2347},[116],{"categories":2349},[116],{"categories":2351},[119],{"categories":2353},[177],{"categories":2355},[73],{"categories":2357},[73],{"categories":2359},[],{"categories":2361},[],{"categories":2363},[],{"categories":2365},[211],{"categories":2367},[73],{"categories":2369},[134],{"categories":2371},[73],{"categories":2373},[73],{"categories":2375},[73],{"categories":2377},[],{"categories":2379},[166],{"categories":2381},[111],{"categories":2383},[116],{"categories":2385},[],{"categories":2387},[73],{"categories":2389},[116],{"categories":2391},[73],{"categories":2393},[211],{"categories":2395},[],{"categories":2397},[163],{"categories":2399},[163],{"categories":2401},[],{"categories":2403},[177],{"categories":2405},[73],{"categories":2407},[163],{"categories":2409},[73],{"categories":2411},[111],{"categories":2413},[],{"categories":2415},[134],{"categories":2417},[73],{"categories":2419},[73],{"categories":2421},[163],{"categories":2423},[116],{"categories":2425},[134],{"categories":2427},[],{"categories":2429},[116],{"categories":2431},[116],{"categories":2433},[163],{"categories":2435},[73],{"categories":2437},[],{"categories":2439},[73],{"categories":2441},[73],{"categories":2443},[211],{"categories":2445},[134],{"categories":2447},[166],{"categories":2449},[166],{"categories":2451},[],{"categories":2453},[],{"categories":2455},[],{"categories":2457},[116],{"categories":2459},[116],{"categories":2461},[177],{"categories":2463},[177],{"categories":2465},[73],{"categories":2467},[73],{"categories":2469},[],{"categories":2471},[],{"categories":2473},[73],{"categories":2475},[],{"categories":2477},[73],{"categories":2479},[116],{"categories":2481},[73],{"categories":2483},[],{"categories":2485},[119],{"categories":2487},[73],{"categories":2489},[163],{"categories":2491},[73],{"categories":2493},[111],{"categories":2495},[73],{"categories":2497},[186],{"categories":2499},[116],{"categories":2501},[73],{"categories":2503},[73],{"categories":2505},[73],{"categories":2507},[177],{"categories":2509},[],{"categories":2511},[134],{"categories":2513},[116],{"categories":2515},[],{"categories":2517},[134],{"categories":2519},[116],{"categories":2521},[116],{"categories":2523},[73],{"categories":2525},[116],{"categories":2527},[],{"categories":2529},[111],{"categories":2531},[116],{"categories":2533},[],{"categories":2535},[177],{"categories":2537},[73],{"categories":2539},[108],{"categories":2541},[134],{"categories":2543},[211],{"categories":2545},[116],{"categories":2547},[73],{"categories":2549},[116],{"categories":2551},[108],{"categories":2553},[],{"categories":2555},[73],{"categories":2557},[],{"categories":2559},[],{"categories":2561},[163],{"categories":2563},[73,111],{"categories":2565},[116],{"categories":2567},[73],{"categories":2569},[],{"categories":2571},[108],{"categories":2573},[166],{"categories":2575},[73],{"categories":2577},[177],{"categories":2579},[73],{"categories":2581},[116],{"categories":2583},[73],{"categories":2585},[73],{"categories":2587},[73],{"categories":2589},[134],{"categories":2591},[116],{"categories":2593},[73],{"categories":2595},[],{"categories":2597},[],{"categories":2599},[116],{"categories":2601},[73],{"categories":2603},[211],{"categories":2605},[],{"categories":2607},[73],{"categories":2609},[116],{"categories":2611},[116],{"categories":2613},[],{"categories":2615},[116],{"categories":2617},[73],{"categories":2619},[186],{"categories":2621},[166],{"categories":2623},[116],{"categories":2625},[73],{"categories":2627},[211],{"categories":2629},[],{"categories":2631},[73],{"categories":2633},[186],{"categories":2635},[163],{"categories":2637},[73],{"categories":2639},[73],{"categories":2641},[],{"categories":2643},[186],{"categories":2645},[134],{"categories":2647},[73],{"categories":2649},[73],{"categories":2651},[108],{"categories":2653},[73],{"categories":2655},[],{"categories":2657},[],{"categories":2659},[163],{"categories":2661},[73],{"categories":2663},[166],{"categories":2665},[186],{"categories":2667},[116],{"categories":2669},[186],{"categories":2671},[134],{"categories":2673},[],{"categories":2675},[73],{"categories":2677},[],{"categories":2679},[73],{"categories":2681},[116],{"categories":2683},[73],{"categories":2685},[73],{"categories":2687},[],{"categories":2689},[73,177],{"categories":2691},[134],{"categories":2693},[116],{"categories":2695},[177],{"categories":2697},[73],{"categories":2699},[108],{"categories":2701},[],{"categories":2703},[],{"categories":2705},[116],{"categories":2707},[177],{"categories":2709},[108],{"categories":2711},[177],{"categories":2713},[177],{"categories":2715},[73],{"categories":2717},[186],{"categories":2719},[73],{"categories":2721},[177],{"categories":2723},[],{"categories":2725},[163,73],{"categories":2727},[211],{"categories":2729},[108],{"categories":2731},[],{"categories":2733},[73],{"categories":2735},[111],{"categories":2737},[111],{"categories":2739},[73],{"categories":2741},[73],{"categories":2743},[73],{"categories":2745},[177],{"categories":2747},[116],{"categories":2749},[134],{"categories":2751},[186],{"categories":2753},[163],{"categories":2755},[73],{"categories":2757},[73],{"categories":2759},[73],{"categories":2761},[73],{"categories":2763},[108],{"categories":2765},[73],{"categories":2767},[116],{"categories":2769},[116],{"categories":2771},[134],{"categories":2773},[177],{"categories":2775},[],{"categories":2777},[],{"categories":2779},[166],{"categories":2781},[177],{"categories":2783},[73],{"categories":2785},[163],{"categories":2787},[73],{"categories":2789},[166],{"categories":2791},[73],{"categories":2793},[73],{"categories":2795},[73],{"categories":2797},[116],{"categories":2799},[116],{"categories":2801},[73,111],{"categories":2803},[],{"categories":2805},[163],{"categories":2807},[],{"categories":2809},[73],{"categories":2811},[134],{"categories":2813},[108],{"categories":2815},[108],{"categories":2817},[116],{"categories":2819},[116],{"categories":2821},[116],{"categories":2823},[73],{"categories":2825},[73],{"categories":2827},[111],{"categories":2829},[177],{"categories":2831},[186],{"categories":2833},[73],{"categories":2835},[],{"categories":2837},[134],{"categories":2839},[73],{"categories":2841},[73],{"categories":2843},[73],{"categories":2845},[73],{"categories":2847},[73],{"categories":2849},[177],{"categories":2851},[134],{"categories":2853},[177],{"categories":2855},[177],{"categories":2857},[73],{"categories":2859},[73],{"categories":2861},[73],{"categories":2863},[116],{"categories":2865},[134],{"categories":2867},[116],{"categories":2869},[73],{"categories":2871},[163],{"categories":2873},[73],{"categories":2875},[73],{"categories":2877},[211],{"categories":2879},[73],{"categories":2881},[119],{"categories":2883},[116],{"categories":2885},[73],{"categories":2887},[134],{"categories":2889},[116],{"categories":2891},[186],{"categories":2893},[73],{"categories":2895},[111],{"categories":2897},[73],{"categories":2899},[],{"categories":2901},[73],{"categories":2903},[73],{"categories":2905},[],{"categories":2907},[],{"categories":2909},[],{"categories":2911},[111],{"categories":2913},[73],{"categories":2915},[116],{"categories":2917},[134],{"categories":2919},[134],{"categories":2921},[134],{"categories":2923},[134],{"categories":2925},[],{"categories":2927},[108],{"categories":2929},[116],{"categories":2931},[134],{"categories":2933},[73],{"categories":2935},[108],{"categories":2937},[116],{"categories":2939},[73],{"categories":2941},[73,116],{"categories":2943},[116],{"categories":2945},[211],{"categories":2947},[134],{"categories":2949},[116],{"categories":2951},[134],{"categories":2953},[116],{"categories":2955},[73],{"categories":2957},[],{"categories":2959},[134],{"categories":2961},[186],{"categories":2963},[108],{"categories":2965},[73],{"categories":2967},[73],{"categories":2969},[],{"categories":2971},[177],{"categories":2973},[],{"categories":2975},[108],{"categories":2977},[116],{"categories":2979},[134],{"categories":2981},[73],{"categories":2983},[134],{"categories":2985},[108],{"categories":2987},[134],{"categories":2989},[134],{"categories":2991},[],{"categories":2993},[111],{"categories":2995},[116],{"categories":2997},[134],{"categories":2999},[134],{"categories":3001},[134],{"categories":3003},[134],{"categories":3005},[134],{"categories":3007},[134],{"categories":3009},[134],{"categories":3011},[134],{"categories":3013},[134],{"categories":3015},[134],{"categories":3017},[166],{"categories":3019},[108],{"categories":3021},[73],{"categories":3023},[73],{"categories":3025},[116],{"categories":3027},[116],{"categories":3029},[],{"categories":3031},[73,108],{"categories":3033},[],{"categories":3035},[116],{"categories":3037},[134],{"categories":3039},[116],{"categories":3041},[73],{"categories":3043},[73],{"categories":3045},[73],{"categories":3047},[73],{"categories":3049},[73],{"categories":3051},[116],{"categories":3053},[111],{"categories":3055},[116],{"categories":3057},[],{"categories":3059},[163],{"categories":3061},[134],{"categories":3063},[73],{"categories":3065},[],{"categories":3067},[],{"categories":3069},[116],{"categories":3071},[163],{"categories":3073},[73],{"categories":3075},[],{"categories":3077},[73],{"categories":3079},[],{"categories":3081},[186],{"categories":3083},[73],{"categories":3085},[],{"categories":3087},[],{"categories":3089},[134],{"categories":3091},[108],{"categories":3093},[73],{"categories":3095},[111],{"categories":3097},[73],{"categories":3099},[73],{"categories":3101},[111],{"categories":3103},[163],{"categories":3105},[],{"categories":3107},[73],{"categories":3109},[134],{"categories":3111},[],{"categories":3113},[163],{"categories":3115},[73],{"categories":3117},[186],{"categories":3119},[73],{"categories":3121},[211],{"categories":3123},[],{"categories":3125},[186],{"categories":3127},[],{"categories":3129},[73],{"categories":3131},[],{"categories":3133},[116],{"categories":3135},[177],{"categories":3137},[],{"categories":3139},[111],{"categories":3141},[108],{"categories":3143},[116],{"categories":3145},[163],{"categories":3147},[177],{"categories":3149},[],{"categories":3151},[],{"categories":3153},[73],{"categories":3155},[108],{"categories":3157},[73],{"categories":3159},[186],{"categories":3161},[],{"categories":3163},[116],{"categories":3165},[116],{"categories":3167},[134],{"categories":3169},[177],{"categories":3171},[73],{"categories":3173},[116],{"categories":3175},[73],{"categories":3177},[116],{"categories":3179},[73],{"categories":3181},[119],{"categories":3183},[186],{"categories":3185},[134],{"categories":3187},[],{"categories":3189},[186],{"categories":3191},[],{"categories":3193},[177],{"categories":3195},[116],{"categories":3197},[],{"categories":3199},[73],{"categories":3201},[73],{"categories":3203},[116],{"categories":3205},[111],{"categories":3207},[108],{"categories":3209},[73],{"categories":3211},[163],{"categories":3213},[177],{"categories":3215},[177],{"categories":3217},[73],{"categories":3219},[166],{"categories":3221},[116],{"categories":3223},[73],{"categories":3225},[116],{"categories":3227},[111],{"categories":3229},[163],{"categories":3231},[177],{"categories":3233},[116],{"categories":3235},[73],{"categories":3237},[73],{"categories":3239},[116],{"categories":3241},[73],{"categories":3243},[134],{"categories":3245},[],{"categories":3247},[108],{"categories":3249},[73],{"categories":3251},[73],{"categories":3253},[73],{"categories":3255},[116],{"categories":3257},[73],{"categories":3259},[73],{"categories":3261},[],{"categories":3263},[73],{"categories":3265},[163],{"categories":3267},[111],{"categories":3269},[134],{"categories":3271},[116],{"categories":3273},[73],{"categories":3275},[73],{"categories":3277},[163],{"categories":3279},[116],{"categories":3281},[73],{"categories":3283},[186],{"categories":3285},[166],{"categories":3287},[73],{"categories":3289},[134],{"categories":3291},[73],{"categories":3293},[116],{"categories":3295},[211],{"categories":3297},[73],{"categories":3299},[116],{"categories":3301},[166],{"categories":3303},[],{"categories":3305},[116],{"categories":3307},[177],{"categories":3309},[163],{"categories":3311},[73],{"categories":3313},[108],{"categories":3315},[177],{"categories":3317},[111],{"categories":3319},[177],{"categories":3321},[73],{"categories":3323},[],{"categories":3325},[116],{"categories":3327},[116],{"categories":3329},[73],{"categories":3331},[166],{"categories":3333},[],{"categories":3335},[134],{"categories":3337},[],{"categories":3339},[134],{"categories":3341},[73],{"categories":3343},[73],{"categories":3345},[116],{"categories":3347},[116],{"categories":3349},[116],{"categories":3351},[],{"categories":3353},[134],{"categories":3355},[],{"categories":3357},[73],{"categories":3359},[73],{"categories":3361},[],{"categories":3363},[163],{"categories":3365},[177],{"categories":3367},[116],{"categories":3369},[73],{"categories":3371},[186],{"categories":3373},[73],{"categories":3375},[73],{"categories":3377},[108],{"categories":3379},[],{"categories":3381},[73],{"categories":3383},[],{"categories":3385},[108],{"categories":3387},[134],{"categories":3389},[177],{"categories":3391},[73],{"categories":3393},[73],{"categories":3395},[73],{"categories":3397},[177],{"categories":3399},[134],{"categories":3401},[163],{"categories":3403},[73],{"categories":3405},[73],{"categories":3407},[73],{"categories":3409},[134],{"categories":3411},[163],{"categories":3413},[73],{"categories":3415},[134],{"categories":3417},[163],{"categories":3419},[134],{"categories":3421},[116],{"categories":3423},[116],{"categories":3425},[177],{"categories":3427},[134],{"categories":3429},[116],{"categories":3431},[116],{"categories":3433},[73],{"categories":3435},[177],{"categories":3437},[163],{"categories":3439},[73],{"categories":3441},[],{"categories":3443},[116],{"categories":3445},[],{"categories":3447},[],{"categories":3449},[],{"categories":3451},[111],{"categories":3453},[116],{"categories":3455},[73],{"categories":3457},[116],{"categories":3459},[108],{"categories":3461},[116],{"categories":3463},[186],{"categories":3465},[116],{"categories":3467},[],{"categories":3469},[116],{"categories":3471},[],{"categories":3473},[108],{"categories":3475},[116],{"categories":3477},[],{"categories":3479},[116],{"categories":3481},[73],{"categories":3483},[73],{"categories":3485},[134],{"categories":3487},[73],{"categories":3489},[116],{"categories":3491},[73],{"categories":3493},[73],{"categories":3495},[134],{"categories":3497},[116],{"categories":3499},[177],{"categories":3501},[163],{"categories":3503},[108],{"categories":3505},[],{"categories":3507},[116],{"categories":3509},[163],{"categories":3511},[211],{"categories":3513},[134],{"categories":3515},[73],{"categories":3517},[163],{"categories":3519},[73],{"categories":3521},[108],{"categories":3523},[],{"categories":3525},[116],{"categories":3527},[73],{"categories":3529},[73],{"categories":3531},[116],{"categories":3533},[73],{"categories":3535},[163],{"categories":3537},[],{"categories":3539},[116],{"categories":3541},[119],{"categories":3543},[134],{"categories":3545},[116],{"categories":3547},[111],{"categories":3549},[],{"categories":3551},[73],{"categories":3553},[119],{"categories":3555},[73],{"categories":3557},[116],{"categories":3559},[134],{"categories":3561},[108],{"categories":3563},[211],{"categories":3565},[73],{"categories":3567},[73],{"categories":3569},[73],{"categories":3571},[134],{"categories":3573},[111],{"categories":3575},[73],{"categories":3577},[163],{"categories":3579},[134],{"categories":3581},[211],{"categories":3583},[73],{"categories":3585},[],{"categories":3587},[],{"categories":3589},[73],{"categories":3591},[211],{"categories":3593},[166],{"categories":3595},[116],{"categories":3597},[116],{"categories":3599},[134],{"categories":3601},[73],{"categories":3603},[108],{"categories":3605},[73],{"categories":3607},[163],{"categories":3609},[116],{"categories":3611},[116],{"categories":3613},[73],{"categories":3615},[186],{"categories":3617},[73],{"categories":3619},[116],{"categories":3621},[],{"categories":3623},[73],{"categories":3625},[73],{"categories":3627},[73],{"categories":3629},[134],{"categories":3631},[108],{"categories":3633},[],{"categories":3635},[73],{"categories":3637},[73],{"categories":3639},[177],{"categories":3641},[163],{"categories":3643},[73,116],{"categories":3645},[186,111],{"categories":3647},[73],{"categories":3649},[73],{"categories":3651},[],{"categories":3653},[116],{"categories":3655},[],{"categories":3657},[177],{"categories":3659},[73],{"categories":3661},[],{"categories":3663},[73],{"categories":3665},[134],{"categories":3667},[],{"categories":3669},[116],{"categories":3671},[73],{"categories":3673},[],{"categories":3675},[163],{"categories":3677},[73],{"categories":3679},[116],{"categories":3681},[73],{"categories":3683},[108],{"categories":3685},[116],{"categories":3687},[73],{"categories":3689},[],{"categories":3691},[211],{"categories":3693},[186],{"categories":3695},[111],{"categories":3697},[111],{"categories":3699},[73],{"categories":3701},[108],{"categories":3703},[108],{"categories":3705},[73],{"categories":3707},[116],{"categories":3709},[73],{"categories":3711},[73],{"categories":3713},[177],{"categories":3715},[108],{"categories":3717},[73],{"categories":3719},[186],{"categories":3721},[134],{"categories":3723},[73],{"categories":3725},[73],{"categories":3727},[116],{"categories":3729},[73],{"categories":3731},[],{"categories":3733},[177],{"categories":3735},[],{"categories":3737},[177],{"categories":3739},[116],{"categories":3741},[108],{"categories":3743},[],{"categories":3745},[211],{"categories":3747},[73],{"categories":3749},[],{"categories":3751},[134],{"categories":3753},[116],{"categories":3755},[177],{"categories":3757},[73],{"categories":3759},[116],{"categories":3761},[177],{"categories":3763},[116],{"categories":3765},[134],{"categories":3767},[108],{"categories":3769},[134],{"categories":3771},[177],{"categories":3773},[73],{"categories":3775},[163],{"categories":3777},[73],{"categories":3779},[73],{"categories":3781},[73],{"categories":3783},[73],{"categories":3785},[73],{"categories":3787},[116],{"categories":3789},[73],{"categories":3791},[116],{"categories":3793},[73],{"categories":3795},[108],{"categories":3797},[73],{"categories":3799},[116],{"categories":3801},[163],{"categories":3803},[116],{"categories":3805},[108],{"categories":3807},[116],{"categories":3809},[163],{"categories":3811},[],{"categories":3813},[73],{"categories":3815},[166],{"categories":3817},[73],{"categories":3819},[73],{"categories":3821},[177],{"categories":3823},[],{"categories":3825},[116],{"categories":3827},[186],{"categories":3829},[73],{"categories":3831},[134],{"categories":3833},[186],{"categories":3835},[116],{"categories":3837},[111],{"categories":3839},[111],{"categories":3841},[73],{"categories":3843},[73],{"categories":3845},[108],{"categories":3847},[],{"categories":3849},[116],{"categories":3851},[73],{"categories":3853},[177],{"categories":3855},[],{"categories":3857},[108],{"categories":3859},[73],{"categories":3861},[116],{"categories":3863},[116],{"categories":3865},[],{"categories":3867},[177],{"categories":3869},[177],{"categories":3871},[186],{"categories":3873},[163],{"categories":3875},[],{"categories":3877},[73],{"categories":3879},[116],{"categories":3881},[108],{"categories":3883},[73],{"categories":3885},[177],{"categories":3887},[108],{"categories":3889},[134],{"categories":3891},[134],{"categories":3893},[],{"categories":3895},[134],{"categories":3897},[116],{"categories":3899},[163],{"categories":3901},[166],{"categories":3903},[73],{"categories":3905},[],{"categories":3907},[134],{"categories":3909},[177],{"categories":3911},[73],{"categories":3913},[111],{"categories":3915},[73],{"categories":3917},[108],{"categories":3919},[211],{"categories":3921},[108],{"categories":3923},[],{"categories":3925},[],{"categories":3927},[116],{"categories":3929},[134],{"categories":3931},[],{"categories":3933},[116],{"categories":3935},[116],{"categories":3937},[116],{"categories":3939},[],{"categories":3941},[73],{"categories":3943},[],{"categories":3945},[134],{"categories":3947},[108],{"categories":3949},[163],{"categories":3951},[73],{"categories":3953},[134],{"categories":3955},[73],{"categories":3957},[134],{"categories":3959},[],{"categories":3961},[134],{"categories":3963},[108],{"categories":3965},[116],{"categories":3967},[73],{"categories":3969},[],{"categories":3971},[177],{"categories":3973},[116],{"categories":3975},[119],{"categories":3977},[116],{"categories":3979},[108],{"categories":3981},[],{"categories":3983},[],{"categories":3985},[],{"categories":3987},[163],{"categories":3989},[116],{"categories":3991},[73],{"categories":3993},[73],{"categories":3995},[],{"categories":3997},[],{"categories":3999},[],{"categories":4001},[163],{"categories":4003},[],{"categories":4005},[116],{"categories":4007},[73],{"categories":4009},[108],{"categories":4011},[],{"categories":4013},[],{"categories":4015},[163],{"categories":4017},[73],{"categories":4019},[134],{"categories":4021},[],{"categories":4023},[186],{"categories":4025},[134],{"categories":4027},[186],{"categories":4029},[166],{"categories":4031},[73],{"categories":4033},[73],{"categories":4035},[],{"categories":4037},[],{"categories":4039},[116],{"categories":4041},[],{"categories":4043},[73],{"categories":4045},[],{"categories":4047},[116],{"categories":4049},[73],{"categories":4051},[],{"categories":4053},[116],{"categories":4055},[73],{"categories":4057},[134],{"categories":4059},[73],{"categories":4061},[186],{"categories":4063},[73],{"categories":4065},[73],{"categories":4067},[166],{"categories":4069},[116],{"categories":4071},[116],{"categories":4073},[],{"categories":4075},[],{"categories":4077},[73],{"categories":4079},[],{"categories":4081},[134],{"categories":4083},[],{"categories":4085},[],{"categories":4087},[163],{"categories":4089},[108],{"categories":4091},[],{"categories":4093},[111],{"categories":4095},[186],{"categories":4097},[73],{"categories":4099},[177],{"categories":4101},[108],{"categories":4103},[166],{"categories":4105},[111],{"categories":4107},[177],{"categories":4109},[177],{"categories":4111},[],{"categories":4113},[73],{"categories":4115},[],{"categories":4117},[116],{"categories":4119},[108],{"categories":4121},[163],{"categories":4123},[108],{"categories":4125},[116],{"categories":4127},[211],{"categories":4129},[73],{"categories":4131},[73],{"categories":4133},[108],{"categories":4135},[116],{"categories":4137},[],{"categories":4139},[73],{"categories":4141},[177],{"categories":4143},[134],{"categories":4145},[177],{"categories":4147},[73],{"categories":4149},[],{"categories":4151},[163],{"categories":4153},[134],{"categories":4155},[108],{"categories":4157},[73],{"categories":4159},[116],{"categories":4161},[73],{"categories":4163},[111],{"categories":4165},[116],{"categories":4167},[116,211],{"categories":4169},[116],{"categories":4171},[177],{"categories":4173},[73],{"categories":4175},[73],{"categories":4177},[166],{"categories":4179},[116],{"categories":4181},[186],{"categories":4183},[116],{"categories":4185},[],{"categories":4187},[116],{"categories":4189},[73],{"categories":4191},[111],{"categories":4193},[],{"categories":4195},[],{"categories":4197},[73],{"categories":4199},[166],{"categories":4201},[186],{"categories":4203},[73],{"categories":4205},[116],{"categories":4207},[],{"categories":4209},[134],{"categories":4211},[],{"categories":4213},[134],{"categories":4215},[177],{"categories":4217},[108],{"categories":4219},[177],{"categories":4221},[73],{"categories":4223},[116],{"categories":4225},[73],{"categories":4227},[73],{"categories":4229},[186],{"categories":4231},[177],{"categories":4233},[],{"categories":4235},[134],{"categories":4237},[73],{"categories":4239},[],{"categories":4241},[73],{"categories":4243},[73],{"categories":4245},[73],{"categories":4247},[116],{"categories":4249},[73],{"categories":4251},[119],{"categories":4253},[116],{"categories":4255},[73],{"categories":4257},[73],{"categories":4259},[73],{"categories":4261},[73],{"categories":4263},[111],{"categories":4265},[],{"categories":4267},[119],{"categories":4269},[134],{"categories":4271},[116],{"categories":4273},[73],{"categories":4275},[177],{"categories":4277},[],{"categories":4279},[177],{"categories":4281},[177],{"categories":4283},[177],{"categories":4285},[73],{"categories":4287},[73],{"categories":4289},[73],{"categories":4291},[116],{"categories":4293},[134],{"categories":4295},[73],{"categories":4297},[73],{"categories":4299},[73],{"categories":4301},[111],{"categories":4303},[73],{"categories":4305},[116],{"categories":4307},[163],{"categories":4309},[],{"categories":4311},[166],{"categories":4313},[116],{"categories":4315},[73],{"categories":4317},[],{"categories":4319},[73],{"categories":4321},[73],{"categories":4323},[134],{"categories":4325},[73],{"categories":4327},[116],{"categories":4329},[186],{"categories":4331},[],{"categories":4333},[],{"categories":4335},[134],{"categories":4337},[134],{"categories":4339},[73],{"categories":4341},[186],{"categories":4343},[73],{"categories":4345},[108],{"categories":4347},[116],{"categories":4349},[73],{"categories":4351},[116],{"categories":4353},[116],{"categories":4355},[73],{"categories":4357},[111],{"categories":4359},[],{"categories":4361},[166],{"categories":4363},[],{"categories":4365},[134],{"categories":4367},[73],{"categories":4369},[166],{"categories":4371},[73],{"categories":4373},[177],{"categories":4375},[177],{"categories":4377},[177],{"categories":4379},[116],{"categories":4381},[116],{"categories":4383},[163],{"categories":4385},[166],{"categories":4387},[166],{"categories":4389},[],{"categories":4391},[134],{"categories":4393},[73],{"categories":4395},[73],{"categories":4397},[177],{"categories":4399},[],{"categories":4401},[134],{"categories":4403},[134],{"categories":4405},[134],{"categories":4407},[],{"categories":4409},[116],{"categories":4411},[73],{"categories":4413},[],{"categories":4415},[108],{"categories":4417},[111],{"categories":4419},[],{"categories":4421},[73],{"categories":4423},[73],{"categories":4425},[],{"categories":4427},[177],{"categories":4429},[],{"categories":4431},[],{"categories":4433},[],{"categories":4435},[],{"categories":4437},[73],{"categories":4439},[134],{"categories":4441},[],{"categories":4443},[],{"categories":4445},[73],{"categories":4447},[73],{"categories":4449},[73],{"categories":4451},[166],{"categories":4453},[73],{"categories":4455},[166],{"categories":4457},[],{"categories":4459},[166],{"categories":4461},[166],{"categories":4463},[211],{"categories":4465},[116],{"categories":4467},[177],{"categories":4469},[],{"categories":4471},[],{"categories":4473},[166],{"categories":4475},[177],{"categories":4477},[177],{"categories":4479},[177],{"categories":4481},[],{"categories":4483},[108],{"categories":4485},[177],{"categories":4487},[177],{"categories":4489},[108],{"categories":4491},[177],{"categories":4493},[111],{"categories":4495},[177],{"categories":4497},[177],{"categories":4499},[177],{"categories":4501},[166],{"categories":4503},[134],{"categories":4505},[134],{"categories":4507},[73],{"categories":4509},[177],{"categories":4511},[166],{"categories":4513},[211],{"categories":4515},[166],{"categories":4517},[166],{"categories":4519},[166],{"categories":4521},[],{"categories":4523},[111],{"categories":4525},[],{"categories":4527},[211],{"categories":4529},[177],{"categories":4531},[177],{"categories":4533},[177],{"categories":4535},[116],{"categories":4537},[134,111],{"categories":4539},[166],{"categories":4541},[],{"categories":4543},[],{"categories":4545},[166],{"categories":4547},[],{"categories":4549},[166],{"categories":4551},[134],{"categories":4553},[116],{"categories":4555},[],{"categories":4557},[177],{"categories":4559},[73],{"categories":4561},[163],{"categories":4563},[],{"categories":4565},[73],{"categories":4567},[],{"categories":4569},[134],{"categories":4571},[108],{"categories":4573},[166],{"categories":4575},[],{"categories":4577},[177],{"categories":4579},[134],[4581,4659,4715,4795],{"id":4582,"title":4583,"ai":4584,"body":4589,"categories":4637,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":4638,"navigation":89,"path":4646,"published_at":4647,"question":74,"scraped_at":4647,"seo":4648,"sitemap":4649,"source_id":4650,"source_name":95,"source_type":96,"source_url":4651,"stem":4652,"tags":4653,"thumbnail_url":74,"tldr":4656,"tweet":74,"unknown_tags":4657,"__hash__":4658},"summaries\u002Fsummaries\u002F62e6fdb54662c5f4-belief-engine-managing-stance-dynamics-in-multi-ag-summary.md","Belief Engine: Managing Stance Dynamics in Multi-Agent AI",{"provider":7,"model":8,"input_tokens":4585,"output_tokens":4586,"processing_time_ms":4587,"cost_usd":4588},4077,570,3114,0.00187425,{"type":14,"value":4590,"toc":4632},[4591,4595,4598,4602,4605,4625,4629],[17,4592,4594],{"id":4593},"moving-beyond-black-box-deliberation","Moving Beyond Black-Box Deliberation",[22,4596,4597],{},"Multi-agent systems often suffer from opaque decision-making processes where it is difficult to trace how individual agents arrive at their conclusions. The 'Belief Engine' framework addresses this by introducing a configurable and inspectable layer for stance dynamics. Instead of relying on the implicit, often inconsistent reasoning of LLMs, the engine forces agents to explicitly define, track, and update their 'stances'—the core beliefs or positions they hold—throughout a collaborative deliberation process.",[17,4599,4601],{"id":4600},"configurable-stance-dynamics","Configurable Stance Dynamics",[22,4603,4604],{},"The core of the Belief Engine is its ability to parameterize how an agent's stance evolves. Rather than allowing agents to drift aimlessly, the framework allows developers to define specific rules for how new information influences existing beliefs. This includes:",[36,4606,4607,4613,4619],{},[39,4608,4609,4612],{},[42,4610,4611],{},"Stance Persistence:"," Defining how strongly an agent clings to an initial position versus how readily it updates based on peer input.",[39,4614,4615,4618],{},[42,4616,4617],{},"Interaction Protocols:"," Setting clear rules for when and how agents exchange information, preventing echo chambers or premature convergence.",[39,4620,4621,4624],{},[42,4622,4623],{},"Inspectable State:"," Because the stance is stored as a structured object rather than hidden in the latent space of the model, developers can audit the agent's 'belief state' at any point in the deliberation. This provides a clear audit trail of how a final consensus (or lack thereof) was reached.",[17,4626,4628],{"id":4627},"practical-implications-for-ai-engineering","Practical Implications for AI Engineering",[22,4630,4631],{},"By decoupling the 'belief state' from the 'reasoning engine' (the LLM), the Belief Engine makes multi-agent systems more predictable and debuggable. This approach is particularly valuable for complex tasks where consensus is required but individual agent bias must be managed. It transforms multi-agent deliberation from a stochastic process into a controlled, observable pipeline, allowing for better tuning of agent behavior without needing to retrain or fine-tune the underlying models.",{"title":66,"searchDepth":67,"depth":67,"links":4633},[4634,4635,4636],{"id":4593,"depth":67,"text":4594},{"id":4600,"depth":67,"text":4601},{"id":4627,"depth":67,"text":4628},[73],{"content_references":4639,"triage":4644},[4640],{"type":80,"title":4641,"author":4642,"context":4643},"Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation","Unknown","cited",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":4645},"Category: AI & LLMs. The article presents a novel framework, the Belief Engine, which directly addresses the challenge of managing stance dynamics in multi-agent AI systems, a key concern for AI engineers. It offers practical implications for improving predictability and debuggability in AI systems, making it actionable for developers looking to implement these concepts.","\u002Fsummaries\u002F62e6fdb54662c5f4-belief-engine-managing-stance-dynamics-in-multi-ag-summary","2026-05-18 07:11:47",{"title":4583,"description":66},{"loc":4646},"62e6fdb54662c5f4","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.15343","summaries\u002F62e6fdb54662c5f4-belief-engine-managing-stance-dynamics-in-multi-ag-summary",[99,4654,100,4655],"llm","ai-research","The Belief Engine framework provides a structured, inspectable method for controlling how AI agents maintain and evolve their stances during multi-agent deliberation, moving beyond black-box reasoning.",[100,4655],"n3oIDlBeECuXMG7Aks8yENT9glL49IjbZIrpfx8Nu7Q",{"id":4660,"title":4661,"ai":4662,"body":4668,"categories":4696,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":4697,"navigation":89,"path":4703,"published_at":4704,"question":74,"scraped_at":4704,"seo":4705,"sitemap":4706,"source_id":4707,"source_name":4708,"source_type":96,"source_url":4709,"stem":4710,"tags":4711,"thumbnail_url":74,"tldr":4712,"tweet":74,"unknown_tags":4713,"__hash__":4714},"summaries\u002Fsummaries\u002F0ef58dbb67f9059c-uber-s-openai-powered-multi-agent-ai-optimizes-ear-summary.md","Uber's OpenAI-Powered Multi-Agent AI Optimizes Earnings and Booking",{"provider":7,"model":4663,"input_tokens":4664,"output_tokens":4665,"processing_time_ms":4666,"cost_usd":4667},"x-ai\u002Fgrok-4.1-fast",7179,1572,27560,0.0021993,{"type":14,"value":4669,"toc":4691},[4670,4674,4677,4681,4684,4688],[17,4671,4673],{"id":4672},"multi-agent-architecture-turns-marketplace-data-into-actionable-driver-insights","Multi-Agent Architecture Turns Marketplace Data into Actionable Driver Insights",[22,4675,4676],{},"Uber processes 40 million daily trips across 10 million drivers\u002Fcouriers in 15,000 cities over 70 countries, with 1.7 million concurrent rides influenced by traffic, weather, and events. Uber Assistant uses OpenAI frontier models to summarize complex signals like earnings trends and heatmaps into plain-language recommendations, answering queries like optimal positioning or switching rides to deliveries. This reduces cognitive load, helping new drivers ramp up faster than relying on hundreds of trips for platform learning. Experienced drivers return for follow-ups, boosting repeat engagement and on-platform time utilization. The system routes queries via multi-agent setup: nano\u002Fmini models for lightweight classification and speed, larger reasoning models for complex tasks. AI Guard screens prompts\u002Fresponses to enforce safety, privacy, policy compliance, cut hallucinations, and ensure low-latency mobile performance—critical since distrust causes quick user drop-off.",[17,4678,4680],{"id":4679},"voice-realtime-api-enables-natural-interactions-for-riders-and-drivers","Voice Realtime API Enables Natural Interactions for Riders and Drivers",[22,4682,4683],{},"OpenAI Realtime API powers voice features in the Uber app, letting users speak full intents like \"five pieces of luggage, five people, nice ride to airport\" for recommendations such as UberXL or saved locations like \"home.\" It syncs spoken and visual responses, removing multi-tap friction for complex requests. This broadens accessibility for older adults, visually impaired users, or hands-free drivers, orchestrating outcomes across the ecosystem without sequential tasks. Voice unlocks nuanced event sequences per trip\u002Fdrive, providing data to refine future features at Uber's scale.",[17,4685,4687],{"id":4686},"organizational-shifts-accelerate-ai-product-cycles","Organizational Shifts Accelerate AI Product Cycles",[22,4689,4690],{},"Uber embeds LLMs organization-wide, democratizing prompting, retrieval, evaluation, and orchestration beyond a central AI team—engaging engineering, product, legal, operations, and design for policy, testing, and UX. This fosters cross-team collaboration, faster experimentation, and iteration. Beta rollout reaches hundreds of thousands of U.S. drivers, prioritizing early-lifecycle support for better positioning\u002Ftrips, strong repeat use after value delivery, and optimized time via insights. Result: productive work, seamless transport, humanized logistics.",{"title":66,"searchDepth":67,"depth":67,"links":4692},[4693,4694,4695],{"id":4672,"depth":67,"text":4673},{"id":4679,"depth":67,"text":4680},{"id":4686,"depth":67,"text":4687},[73],{"content_references":4698,"triage":4699},[],{"relevance":85,"novelty":86,"quality":86,"actionability":4700,"composite":4701,"reasoning":4702},3,4.15,"Category: AI & LLMs. The article discusses Uber's implementation of OpenAI models in a multi-agent architecture, which directly addresses practical applications of AI in optimizing driver experiences and operational efficiency. It provides insights into how Uber leverages AI to enhance user interactions and streamline processes, making it relevant for product builders interested in AI integration.","\u002Fsummaries\u002F0ef58dbb67f9059c-uber-s-openai-powered-multi-agent-ai-optimizes-ear-summary","2026-05-11 15:04:26",{"title":4661,"description":66},{"loc":4703},"0ef58dbb67f9059c","OpenAI News","https:\u002F\u002Fopenai.com\u002Findex\u002Fuber","summaries\u002F0ef58dbb67f9059c-uber-s-openai-powered-multi-agent-ai-optimizes-ear-summary",[4654,99],"Uber deploys OpenAI models via multi-agent architecture for Uber Assistant, delivering real-time driver guidance from marketplace data and voice-based ride booking, accelerating new driver ramp-up versus hundreds of trips via trial-and-error.",[],"yGF9AUDRqSMC2I2dNWYkDz4g_Y6jWUMkTkDUbMB341M",{"id":4716,"title":4717,"ai":4718,"body":4723,"categories":4759,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":4760,"navigation":89,"path":4782,"published_at":4783,"question":74,"scraped_at":4783,"seo":4784,"sitemap":4785,"source_id":4786,"source_name":4787,"source_type":96,"source_url":4788,"stem":4789,"tags":4790,"thumbnail_url":74,"tldr":4792,"tweet":74,"unknown_tags":4793,"__hash__":4794},"summaries\u002Fsummaries\u002F4770d6933899c180-4-ux-lessons-from-qwen-s-ai-agent-study-summary.md","4 UX Lessons from Qwen's AI Agent Study",{"provider":7,"model":4663,"input_tokens":4719,"output_tokens":4720,"processing_time_ms":4721,"cost_usd":4722},7466,1919,24612,0.0024302,{"type":14,"value":4724,"toc":4753},[4725,4729,4732,4736,4739,4743,4746,4750],[17,4726,4728],{"id":4727},"redundant-entry-points-fix-low-discoverability","Redundant Entry Points Fix Low Discoverability",[22,4730,4731],{},"In a study of 6 Chinese users (ages 18–45), 5 of 6 defaulted to traditional delivery apps like Meituan for milk tea orders, expecting GUI flows over chat prompts—even frequent genAI users saw chatbots as Q&A tools, not transactional. Qwen countered this with dual activation: chat requests or a prominent 'Qwen's Treat' button opening categorized task menus that prefill prompts. This redundancy helped novices, but broad categories like 'Milk Tea & Catering' auto-prompted wrong items (e.g., noodles instead of milk tea), causing confusion. Fix: For narrow scopes like movie tickets, prefilling works; for broad ones, prompt clarifying questions first (e.g., 'What drink?') with options to avoid mismatches and extra steps.",[17,4733,4735],{"id":4734},"mirror-familiar-patterns-to-cut-learning-friction","Mirror Familiar Patterns to Cut Learning Friction",[22,4737,4738],{},"Users regained confidence when Qwen transitioned chat to delivery-app-like interfaces: category navigation, item lists, product pages matching Meituan's layout. One user said, 'This looks familiar,' easing mechanics focus. But carousels for shop recommendations hid total options (e.g., showing one at a time without counts), leading users to assume limited choices and switch apps. Use grids, lists, or counts (e.g., '12 shops nearby') for larger sets; proven patterns like carousels suit small subsets only, preventing perceived scarcity.",[17,4740,4742],{"id":4741},"transparent-data-access-prevents-privacy-alarms","Transparent Data Access Prevents Privacy Alarms",[22,4744,4745],{},"Users distrusted aggressive promotions (e.g., free milk tea) and freaked when Qwen auto-surfaced full Taobao-saved addresses post-authorization—before item selection—due to buried gray-text explanations. Perceptions of broad data leaks (e.g., shopping history) drove 2 participants to abandon for traditional apps. Mitigate with: (1) active acknowledgment on auth screens stating exact data accessed; (2) contextual explanations before display (e.g., 'Using ZIP for nearby shops'); (3) minimal data reveal (ZIP during browse, full address at checkout only). This matches minimal-needed principle, rebuilding trust.",[17,4747,4749],{"id":4748},"full-transparency-preserves-autonomy-and-decisions","Full Transparency Preserves Autonomy and Decisions",[22,4751,4752],{},"Qwen let users edit mid-flow, review orders, and pay via AliPay authentication, retaining control. But hidden fees jumped milk tea from ¥1.6 to ¥10.2 (adding delivery\u002Fpackaging, unmet ¥16 minimum), misleading users to compare elsewhere. Flight options lacked baggage info, forcing app switches despite narrowed choices. Always surface decision-critical details (fees, thresholds, allowances) upfront—efficiency without info erodes trust; informed control fosters repeat use.",{"title":66,"searchDepth":67,"depth":67,"links":4754},[4755,4756,4757,4758],{"id":4727,"depth":67,"text":4728},{"id":4734,"depth":67,"text":4735},{"id":4741,"depth":67,"text":4742},{"id":4748,"depth":67,"text":4749},[73,163],{"content_references":4761,"triage":4780},[4762,4767,4769,4771,4773,4777],{"type":4763,"title":4764,"author":4765,"context":4766},"tool","Qwen","Alibaba","mentioned",{"type":4763,"title":4768,"context":4766},"Taobao",{"type":4763,"title":4770,"context":4766},"AliPay",{"type":4763,"title":4772,"context":4766},"Meituan",{"type":4774,"title":4775,"url":4776,"context":4643},"other","Impressions of ChatGPT Agent","https:\u002F\u002Fwww.nngroup.com\u002Farticles\u002Fimpressions-chatgpt-agent\u002F",{"type":4774,"title":4778,"url":4779,"context":4766},"A Concrete Definition of an AI Agent","https:\u002F\u002Fwww.nngroup.com\u002Farticles\u002Fdefinition-ai-agent\u002F",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":4781},"Category: Design & Frontend. The article provides practical UX lessons specifically for designing AI agents, addressing pain points like user trust and discoverability, which are crucial for product builders. It offers actionable insights such as using familiar UI patterns and transparent data access, making it highly relevant for the target audience.","\u002Fsummaries\u002F4770d6933899c180-4-ux-lessons-from-qwen-s-ai-agent-study-summary","2026-05-09 15:37:33",{"title":4717,"description":66},{"loc":4782},"4770d6933899c180","Nielsen Norman Group","https:\u002F\u002Fwww.nngroup.com\u002Farticles\u002Fdesigning-ai-agents\u002F?utm_source=rss&utm_medium=feed&utm_campaign=rss-syndication","summaries\u002F4770d6933899c180-4-ux-lessons-from-qwen-s-ai-agent-study-summary",[99,4791],"ui-ux","Support agent discoverability with redundant entry points, mirror familiar UIs, handle data access transparently, and ensure pricing transparency to build trust and reduce abandonment.",[],"Ih6un6KFLu8Wttknn3NQ3iBP1eLzS0et9moTXQU12BI",{"id":4796,"title":4797,"ai":4798,"body":4803,"categories":4864,"created_at":74,"date_modified":74,"description":66,"extension":75,"faq":74,"featured":76,"kicker_label":74,"meta":4865,"navigation":89,"path":4872,"published_at":4873,"question":74,"scraped_at":4874,"seo":4875,"sitemap":4876,"source_id":4877,"source_name":4878,"source_type":96,"source_url":4879,"stem":4880,"tags":4881,"thumbnail_url":74,"tldr":4882,"tweet":74,"unknown_tags":4883,"__hash__":4884},"summaries\u002Fsummaries\u002F6b8d02ecdd85e30f-reward-queries-to-fix-rag-agent-failures-summary.md","Reward Queries to Fix RAG Agent Failures",{"provider":7,"model":4663,"input_tokens":4799,"output_tokens":4800,"processing_time_ms":4801,"cost_usd":4802},3889,1366,12476,0.00143815,{"type":14,"value":4804,"toc":4860},[4805,4809,4812,4826,4829,4833,4836,4857],[17,4806,4808],{"id":4807},"why-initial-queries-derail-llm-search-agents","Why Initial Queries Derail LLM Search Agents",[22,4810,4811],{},"Most LLM-based search agents emphasize reasoning ('how to think') but neglect query quality ('how to ask'). A poor first query retrieves irrelevant results, cascading failures. In the ASearcher dataset example:",[36,4813,4814,4817,4820,4823],{},[39,4815,4816],{},"User query: \"An Annapolis Story stars which American stage, film, and television actor born on February 15, 1914?\"",[39,4818,4819],{},"Agent query: \"birthdate of Kevin McCarthy\" (omits 'actor' constraint, causing entity ambiguity).",[39,4821,4822],{},"Retrieval: Politician Kevin McCarthy (born 1965).",[39,4824,4825],{},"Outcome: Agent concludes \"Not Found\".",[22,4827,4828],{},"This shows how early errors compound, as agents rarely self-correct without guidance. Fix by rewarding good intermediate searches and refining bad ones directly.",[17,4830,4832],{"id":4831},"smartsearch-process-rewards-for-query-refinement","SmartSearch: Process Rewards for Query Refinement",[22,4834,4835],{},"SmartSearch introduces reward-guided query refinement to upgrade agent policies. Core steps:",[4837,4838,4839,4845,4851],"ol",{},[39,4840,4841,4844],{},[42,4842,4843],{},"Reward the Query",": Score intermediate queries by retrieval quality (e.g., relevance to user intent). High-reward queries reinforce successful patterns.",[39,4846,4847,4850],{},[42,4848,4849],{},"Fix the Retrieval",": For low-reward queries, automatically refine (e.g., add constraints like 'actor' or disambiguate entities) before re-retrieving.",[39,4852,4853,4856],{},[42,4854,4855],{},"Upgrade the Agent",": Bake refinements into the agent's policy via reinforcement learning or fine-tuning, making better querying habitual.",[22,4858,4859],{},"This shifts focus from end-to-end trajectories to process-level optimization, turning brittle agents into robust search systems. Early bad steps no longer doom the entire response.",{"title":66,"searchDepth":67,"depth":67,"links":4861},[4862,4863],{"id":4807,"depth":67,"text":4808},{"id":4831,"depth":67,"text":4832},[73],{"content_references":4866,"triage":4870},[4867],{"type":4868,"title":4869,"context":4766},"dataset","ASearcher dataset",{"relevance":85,"novelty":86,"quality":86,"actionability":86,"composite":87,"reasoning":4871},"Category: AI & LLMs. The article provides a deep dive into improving LLM search agents by addressing query quality, which is a critical pain point for developers integrating AI. It offers a novel approach with the SmartSearch method, detailing actionable steps for refining queries through a reward system.","\u002Fsummaries\u002F6b8d02ecdd85e30f-reward-queries-to-fix-rag-agent-failures-summary","2026-05-01 20:30:10","2026-05-03 17:00:35",{"title":4797,"description":66},{"loc":4872},"6b8d02ecdd85e30f","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fsmartsearch-reward-the-query-fix-the-retrieval-upgrade-the-agent-913c2f9eadcf?source=rss----5517fd7b58a6---4","summaries\u002F6b8d02ecdd85e30f-reward-queries-to-fix-rag-agent-failures-summary",[4654,99],"LLM search agents fail from poor initial queries; SmartSearch uses process rewards to refine them, preventing bad retrievals like mistaking actor Kevin McCarthy (1914) for politician (1965).",[],"jh7-T6sGw1O6c9xX-Cj9l7QR0QDxOkm8zS6zycLTOuA"]