[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-60c4a48be638433c-concord-asynchronous-sparse-aggregation-for-device-summary":3,"summaries-facets-categories":82,"summary-related-60c4a48be638433c-concord-asynchronous-sparse-aggregation-for-device-summary":4811},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":65,"path":66,"published_at":67,"question":48,"scraped_at":67,"seo":68,"sitemap":69,"source_id":70,"source_name":71,"source_type":72,"source_url":57,"stem":73,"tags":74,"thumbnail_url":48,"tldr":79,"tweet":48,"unknown_tags":80,"__hash__":81},"summaries\u002Fsummaries\u002F60c4a48be638433c-concord-asynchronous-sparse-aggregation-for-device-summary.md","CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4098,443,2748,0.001689,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-challenge-of-document-isolation-in-rag","The Challenge of Document Isolation in RAG",[22,23,24],"p",{},"Traditional Retrieval-Augmented Generation (RAG) systems often struggle with the trade-off between data privacy and retrieval performance. When documents are isolated on edge devices, centralized indexing becomes impossible, leading to latency and privacy concerns. CONCORD (Asynchronous Sparse Aggregation) addresses this by enabling a hybrid device-cloud architecture that maintains document isolation while allowing the cloud to perform effective retrieval.",[17,26,28],{"id":27},"asynchronous-sparse-aggregation","Asynchronous Sparse Aggregation",[22,30,31],{},"The core innovation of CONCORD is its sparse aggregation mechanism. Instead of requiring full document synchronization or massive data transfers, the system uses an asynchronous approach to aggregate relevant information. By sparsifying the retrieval process, the system minimizes bandwidth usage and reduces the computational load on edge devices. This allows the cloud-based RAG component to query distributed, isolated datasets without compromising the security of the underlying documents.",[17,33,35],{"id":34},"performance-and-deployment","Performance and Deployment",[22,37,38],{},"Designed for integration into modern RAG pipelines, CONCORD optimizes the interaction between local storage and cloud-based LLM inference. By decoupling the retrieval process from the immediate availability of the full document corpus, the system maintains high performance even under constrained network conditions. This approach is particularly relevant for applications requiring strict data sovereignty, such as enterprise search or personal AI assistants, where sensitive documents must remain on the user's device while still being accessible for context-aware generation.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":59},[53],{"type":54,"title":55,"publisher":56,"url":57,"context":58},"paper","CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation","IEEE ICWS 2026","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.15179","cited",{"relevance":60,"novelty":61,"quality":61,"actionability":62,"composite":63,"reasoning":64},5,4,3,4.15,"Category: AI & LLMs. The article presents a novel framework for improving Retrieval-Augmented Generation (RAG) systems, addressing a specific pain point of balancing data privacy with retrieval performance, which is crucial for product builders. It introduces the concept of asynchronous sparse aggregation, providing insights into optimizing AI pipelines, though it lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002F60c4a48be638433c-concord-asynchronous-sparse-aggregation-for-device-summary","2026-06-16 12:56:56",{"title":5,"description":40},{"loc":66},"60c4a48be638433c","arXiv cs.AI","article","summaries\u002F60c4a48be638433c-concord-asynchronous-sparse-aggregation-for-device-summary",[75,76,77,78],"ai-tools","machine-learning","research","rag","CONCORD is a framework for device-cloud Retrieval-Augmented Generation that optimizes performance under document isolation by using asynchronous sparse aggregation to balance local privacy with cloud-scale retrieval.",[78],"dIUcT3I6zcgIuhjrrvFQy8CuTsmecQuH6uQr8fqMjkQ",[83,86,89,91,94,97,99,101,103,105,107,109,111,113,116,118,120,122,124,126,128,130,132,134,136,138,140,142,144,147,150,152,154,156,158,160,163,165,167,169,172,174,176,178,180,182,184,186,188,190,192,194,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809],{"categories":84},[85],"Developer Productivity",{"categories":87},[88],"Business & SaaS",{"categories":90},[47],{"categories":92},[93],"AI Automation",{"categories":95},[96],"Product Strategy",{"categories":98},[47],{"categories":100},[85],{"categories":102},[47],{"categories":104},[88],{"categories":106},[],{"categories":108},[47],{"categories":110},[93],{"categories":112},[],{"categories":114},[115],"AI News & Trends",{"categories":117},[93],{"categories":119},[93],{"categories":121},[115],{"categories":123},[93],{"categories":125},[93],{"categories":127},[47],{"categories":129},[93],{"categories":131},[47],{"categories":133},[47],{"categories":135},[47],{"categories":137},[115],{"categories":139},[47],{"categories":141},[47],{"categories":143},[],{"categories":145},[146],"Design & Frontend",{"categories":148},[149],"Data Science & Visualization",{"categories":151},[115],{"categories":153},[47],{"categories":155},[],{"categories":157},[47],{"categories":159},[93],{"categories":161},[162],"Software Engineering",{"categories":164},[47],{"categories":166},[93],{"categories":168},[47],{"categories":170},[171],"Marketing & Growth",{"categories":173},[146],{"categories":175},[47],{"categories":177},[93],{"categories":179},[],{"categories":181},[],{"categories":183},[146],{"categories":185},[93],{"categories":187},[85],{"categories":189},[162],{"categories":191},[146],{"categories":193},[47],{"categories":195},[196],"DevOps & Cloud",{"categories":198},[93],{"categories":200},[115],{"categories":202},[47],{"categories":204},[],{"categories":206},[47],{"categories":208},[],{"categories":210},[93],{"categories":212},[162],{"categories":214},[],{"categories":216},[88],{"categories":218},[],{"categories":220},[],{"categories":222},[47],{"categories":224},[93],{"categories":226},[47],{"categories":228},[47],{"categories":230},[93],{"categories":232},[47],{"categories":234},[47],{"categories":236},[47],{"categories":238},[],{"categories":240},[162],{"categories":242},[],{"categories":244},[],{"categories":246},[162],{"categories":248},[],{"categories":250},[162],{"categories":252},[47],{"categories":254},[47],{"categories":256},[171],{"categories":258},[146],{"categories":260},[146],{"categories":262},[47],{"categories":264},[162],{"categories":266},[93],{"categories":268},[162],{"categories":270},[47],{"categories":272},[47],{"categories":274},[93],{"categories":276},[93],{"categories":278},[149],{"categories":280},[115],{"categories":282},[93],{"categories":284},[93],{"categories":286},[171],{"categories":288},[93],{"categories":290},[96],{"categories":292},[162],{"categories":294},[],{"categories":296},[93],{"categories":298},[],{"categories":300},[93],{"categories":302},[47],{"categories":304},[162],{"categories":306},[196],{"categories":308},[146],{"categories":310},[47],{"categories":312},[],{"categories":314},[162],{"categories":316},[47],{"categories":318},[],{"categories":320},[93],{"categories":322},[],{"categories":324},[47],{"categories":326},[],{"categories":328},[85],{"categories":330},[162],{"categories":332},[88],{"categories":334},[47],{"categories":336},[47],{"categories":338},[115],{"categories":340},[47],{"categories":342},[],{"categories":344},[47],{"categories":346},[],{"categories":348},[162],{"categories":350},[149],{"categories":352},[],{"categories":354},[47],{"categories":356},[146],{"categories":358},[],{"categories":360},[146],{"categories":362},[93],{"categories":364},[],{"categories":366},[47],{"categories":368},[47],{"categories":370},[93],{"categories":372},[115],{"categories":374},[88],{"categories":376},[47],{"categories":378},[],{"categories":380},[162],{"categories":382},[93],{"categories":384},[47],{"categories":386},[96],{"categories":388},[],{"categories":390},[47],{"categories":392},[96],{"categories":394},[93],{"categories":396},[47],{"categories":398},[93],{"categories":400},[],{"categories":402},[149],{"categories":404},[47],{"categories":406},[],{"categories":408},[85],{"categories":410},[47],{"categories":412},[88],{"categories":414},[47],{"categories":416},[93],{"categories":418},[47],{"categories":420},[47],{"categories":422},[162],{"categories":424},[47],{"categories":426},[],{"categories":428},[],{"categories":430},[47],{"categories":432},[47],{"categories":434},[],{"categories":436},[146],{"categories":438},[],{"categories":440},[47],{"categories":442},[],{"categories":444},[93],{"categories":446},[47],{"categories":448},[146],{"categories":450},[],{"categories":452},[47],{"categories":454},[93],{"categories":456},[47],{"categories":458},[88],{"categories":460},[93],{"categories":462},[47],{"categories":464},[47],{"categories":466},[146],{"categories":468},[93],{"categories":470},[],{"categories":472},[162],{"categories":474},[93],{"categories":476},[],{"categories":478},[115],{"categories":480},[],{"categories":482},[47],{"categories":484},[47],{"categories":486},[88,171],{"categories":488},[],{"categories":490},[47],{"categories":492},[93],{"categories":494},[],{"categories":496},[],{"categories":498},[47],{"categories":500},[146],{"categories":502},[47],{"categories":504},[],{"categories":506},[47],{"categories":508},[196],{"categories":510},[],{"categories":512},[115],{"categories":514},[146],{"categories":516},[],{"categories":518},[115],{"categories":520},[47],{"categories":522},[93],{"categories":524},[115],{"categories":526},[47],{"categories":528},[171],{"categories":530},[],{"categories":532},[88],{"categories":534},[162],{"categories":536},[47],{"categories":538},[93],{"categories":540},[],{"categories":542},[47,196],{"categories":544},[47],{"categories":546},[47],{"categories":548},[47],{"categories":550},[93],{"categories":552},[47,162],{"categories":554},[149],{"categories":556},[47],{"categories":558},[162],{"categories":560},[93],{"categories":562},[171],{"categories":564},[93],{"categories":566},[47],{"categories":568},[93],{"categories":570},[],{"categories":572},[93],{"categories":574},[47],{"categories":576},[47,88],{"categories":578},[88],{"categories":580},[],{"categories":582},[146],{"categories":584},[146],{"categories":586},[],{"categories":588},[],{"categories":590},[115],{"categories":592},[],{"categories":594},[85],{"categories":596},[47],{"categories":598},[162],{"categories":600},[47],{"categories":602},[146],{"categories":604},[93],{"categories":606},[162],{"categories":608},[115],{"categories":610},[146],{"categories":612},[],{"categories":614},[47],{"categories":616},[47],{"categories":618},[47],{"categories":620},[47],{"categories":622},[47],{"categories":624},[47],{"categories":626},[115],{"categories":628},[85],{"categories":630},[47],{"categories":632},[93],{"categories":634},[196],{"categories":636},[146],{"categories":638},[47],{"categories":640},[93],{"categories":642},[],{"categories":644},[],{"categories":646},[146],{"categories":648},[115],{"categories":650},[149],{"categories":652},[],{"categories":654},[47],{"categories":656},[47],{"categories":658},[88],{"categories":660},[47],{"categories":662},[47],{"categories":664},[47],{"categories":666},[115],{"categories":668},[146],{"categories":670},[],{"categories":672},[93],{"categories":674},[162],{"categories":676},[],{"categories":678},[47],{"categories":680},[47],{"categories":682},[93],{"categories":684},[162],{"categories":686},[47],{"categories":688},[149],{"categories":690},[],{"categories":692},[],{"categories":694},[47],{"categories":696},[],{"categories":698},[96],{"categories":700},[88],{"categories":702},[93],{"categories":704},[93],{"categories":706},[],{"categories":708},[85],{"categories":710},[47],{"categories":712},[88],{"categories":714},[115],{"categories":716},[85],{"categories":718},[],{"categories":720},[47],{"categories":722},[],{"categories":724},[],{"categories":726},[115],{"categories":728},[115],{"categories":730},[],{"categories":732},[146],{"categories":734},[162],{"categories":736},[],{"categories":738},[88],{"categories":740},[],{"categories":742},[],{"categories":744},[85],{"categories":746},[149],{"categories":748},[],{"categories":750},[171],{"categories":752},[93],{"categories":754},[88],{"categories":756},[93],{"categories":758},[162],{"categories":760},[],{"categories":762},[96],{"categories":764},[146],{"categories":766},[162],{"categories":768},[47],{"categories":770},[93],{"categories":772},[88],{"categories":774},[47],{"categories":776},[],{"categories":778},[],{"categories":780},[162],{"categories":782},[149],{"categories":784},[96],{"categories":786},[47],{"categories":788},[93],{"categories":790},[47],{"categories":792},[],{"categories":794},[115],{"categories":796},[196],{"categories":798},[],{"categories":800},[93],{"categories":802},[],{"categories":804},[85],{"categories":806},[],{"categories":808},[47],{"categories":810},[47],{"categories":812},[146],{"categories":814},[171],{"categories":816},[162],{"categories":818},[93],{"categories":820},[],{"categories":822},[162],{"categories":824},[85],{"categories":826},[],{"categories":828},[115],{"categories":830},[47,196],{"categories":832},[47],{"categories":834},[115],{"categories":836},[47],{"categories":838},[47],{"categories":840},[88],{"categories":842},[47],{"categories":844},[],{"categories":846},[47],{"categories":848},[88],{"categories":850},[47],{"categories":852},[],{"categories":854},[93],{"categories":856},[162],{"categories":858},[146],{"categories":860},[115],{"categories":862},[149],{"categories":864},[47],{"categories":866},[85],{"categories":868},[47],{"categories":870},[93],{"categories":872},[162],{"categories":874},[],{"categories":876},[],{"categories":878},[93],{"categories":880},[96],{"categories":882},[],{"categories":884},[47],{"categories":886},[],{"categories":888},[146],{"categories":890},[93],{"categories":892},[162],{"categories":894},[146],{"categories":896},[47],{"categories":898},[146],{"categories":900},[],{"categories":902},[],{"categories":904},[115],{"categories":906},[93],{"categories":908},[93],{"categories":910},[47],{"categories":912},[47],{"categories":914},[47],{"categories":916},[88],{"categories":918},[47],{"categories":920},[],{"categories":922},[162],{"categories":924},[162],{"categories":926},[88],{"categories":928},[],{"categories":930},[47],{"categories":932},[47],{"categories":934},[93],{"categories":936},[85],{"categories":938},[88],{"categories":940},[115],{"categories":942},[93],{"categories":944},[171],{"categories":946},[47],{"categories":948},[93],{"categories":950},[],{"categories":952},[146],{"categories":954},[],{"categories":956},[47],{"categories":958},[47],{"categories":960},[],{"categories":962},[88],{"categories":964},[93],{"categories":966},[],{"categories":968},[47],{"categories":970},[196],{"categories":972},[149],{"categories":974},[162],{"categories":976},[171],{"categories":978},[47],{"categories":980},[146],{"categories":982},[47],{"categories":984},[162],{"categories":986},[93],{"categories":988},[],{"categories":990},[],{"categories":992},[93],{"categories":994},[85],{"categories":996},[93],{"categories":998},[96],{"categories":1000},[88],{"categories":1002},[],{"categories":1004},[47],{"categories":1006},[96],{"categories":1008},[47],{"categories":1010},[47],{"categories":1012},[47],{"categories":1014},[47],{"categories":1016},[171],{"categories":1018},[47],{"categories":1020},[47],{"categories":1022},[47],{"categories":1024},[146],{"categories":1026},[93],{"categories":1028},[],{"categories":1030},[],{"categories":1032},[196],{"categories":1034},[162],{"categories":1036},[],{"categories":1038},[93],{"categories":1040},[47],{"categories":1042},[146,47],{"categories":1044},[85],{"categories":1046},[],{"categories":1048},[47],{"categories":1050},[85],{"categories":1052},[146],{"categories":1054},[93],{"categories":1056},[162],{"categories":1058},[],{"categories":1060},[47],{"categories":1062},[],{"categories":1064},[],{"categories":1066},[47],{"categories":1068},[85],{"categories":1070},[47],{"categories":1072},[],{"categories":1074},[93],{"categories":1076},[96],{"categories":1078},[162],{"categories":1080},[47],{"categories":1082},[47],{"categories":1084},[47],{"categories":1086},[146],{"categories":1088},[93],{"categories":1090},[196],{"categories":1092},[146],{"categories":1094},[88],{"categories":1096},[93],{"categories":1098},[47],{"categories":1100},[47],{"categories":1102},[47],{"categories":1104},[93],{"categories":1106},[162],{"categories":1108},[47],{"categories":1110},[96],{"categories":1112},[],{"categories":1114},[115],{"categories":1116},[],{"categories":1118},[96],{"categories":1120},[93],{"categories":1122},[146],{"categories":1124},[47],{"categories":1126},[47],{"categories":1128},[93],{"categories":1130},[162],{"categories":1132},[146],{"categories":1134},[93],{"categories":1136},[115],{"categories":1138},[],{"categories":1140},[47],{"categories":1142},[],{"categories":1144},[47],{"categories":1146},[47],{"categories":1148},[146],{"categories":1150},[47],{"categories":1152},[85],{"categories":1154},[115],{"categories":1156},[47],{"categories":1158},[47],{"categories":1160},[171],{"categories":1162},[47],{"categories":1164},[47],{"categories":1166},[93],{"categories":1168},[93],{"categories":1170},[47],{"categories":1172},[93],{"categories":1174},[93],{"categories":1176},[47],{"categories":1178},[47],{"categories":1180},[93],{"categories":1182},[146],{"categories":1184},[47],{"categories":1186},[47],{"categories":1188},[],{"categories":1190},[],{"categories":1192},[162],{"categories":1194},[],{"categories":1196},[85],{"categories":1198},[196],{"categories":1200},[47],{"categories":1202},[],{"categories":1204},[85],{"categories":1206},[88],{"categories":1208},[47],{"categories":1210},[171],{"categories":1212},[],{"categories":1214},[88],{"categories":1216},[],{"categories":1218},[47],{"categories":1220},[162],{"categories":1222},[],{"categories":1224},[],{"categories":1226},[],{"categories":1228},[],{"categories":1230},[47],{"categories":1232},[93],{"categories":1234},[196],{"categories":1236},[47],{"categories":1238},[85],{"categories":1240},[162],{"categories":1242},[47],{"categories":1244},[47],{"categories":1246},[162],{"categories":1248},[96],{"categories":1250},[47],{"categories":1252},[171],{"categories":1254},[162],{"categories":1256},[88],{"categories":1258},[47],{"categories":1260},[47],{"categories":1262},[47],{"categories":1264},[47],{"categories":1266},[93],{"categories":1268},[47,85],{"categories":1270},[162],{"categories":1272},[162],{"categories":1274},[146],{"categories":1276},[93],{"categories":1278},[162],{"categories":1280},[47],{"categories":1282},[47],{"categories":1284},[],{"categories":1286},[],{"categories":1288},[47],{"categories":1290},[],{"categories":1292},[47],{"categories":1294},[162],{"categories":1296},[149],{"categories":1298},[115],{"categories":1300},[146],{"categories":1302},[47],{"categories":1304},[162],{"categories":1306},[],{"categories":1308},[47],{"categories":1310},[47],{"categories":1312},[47],{"categories":1314},[47],{"categories":1316},[],{"categories":1318},[93],{"categories":1320},[47],{"categories":1322},[47],{"categories":1324},[],{"categories":1326},[93],{"categories":1328},[47],{"categories":1330},[88],{"categories":1332},[],{"categories":1334},[85],{"categories":1336},[47],{"categories":1338},[47],{"categories":1340},[85],{"categories":1342},[47],{"categories":1344},[162],{"categories":1346},[171],{"categories":1348},[93],{"categories":1350},[93],{"categories":1352},[47,146],{"categories":1354},[115],{"categories":1356},[47],{"categories":1358},[146],{"categories":1360},[],{"categories":1362},[162],{"categories":1364},[196],{"categories":1366},[146],{"categories":1368},[162],{"categories":1370},[47],{"categories":1372},[47],{"categories":1374},[93],{"categories":1376},[],{"categories":1378},[],{"categories":1380},[],{"categories":1382},[],{"categories":1384},[162],{"categories":1386},[47],{"categories":1388},[93],{"categories":1390},[88],{"categories":1392},[93],{"categories":1394},[196],{"categories":1396},[47],{"categories":1398},[47],{"categories":1400},[47],{"categories":1402},[93],{"categories":1404},[47],{"categories":1406},[47],{"categories":1408},[],{"categories":1410},[146],{"categories":1412},[162],{"categories":1414},[],{"categories":1416},[],{"categories":1418},[93],{"categories":1420},[],{"categories":1422},[],{"categories":1424},[171],{"categories":1426},[171],{"categories":1428},[93],{"categories":1430},[162],{"categories":1432},[],{"categories":1434},[47],{"categories":1436},[47],{"categories":1438},[162],{"categories":1440},[146],{"categories":1442},[146],{"categories":1444},[47],{"categories":1446},[93],{"categories":1448},[85],{"categories":1450},[47],{"categories":1452},[47],{"categories":1454},[146],{"categories":1456},[146],{"categories":1458},[93],{"categories":1460},[93],{"categories":1462},[47],{"categories":1464},[],{"categories":1466},[47],{"categories":1468},[],{"categories":1470},[47],{"categories":1472},[93],{"categories":1474},[115],{"categories":1476},[162],{"categories":1478},[47],{"categories":1480},[162],{"categories":1482},[85],{"categories":1484},[47],{"categories":1486},[],{"categories":1488},[93],{"categories":1490},[93],{"categories":1492},[],{"categories":1494},[47],{"categories":1496},[85],{"categories":1498},[47],{"categories":1500},[85],{"categories":1502},[85],{"categories":1504},[],{"categories":1506},[162],{"categories":1508},[],{"categories":1510},[93],{"categories":1512},[115],{"categories":1514},[47],{"categories":1516},[93],{"categories":1518},[47],{"categories":1520},[93],{"categories":1522},[47],{"categories":1524},[115],{"categories":1526},[149],{"categories":1528},[47],{"categories":1530},[96],{"categories":1532},[115],{"categories":1534},[146],{"categories":1536},[],{"categories":1538},[],{"categories":1540},[47],{"categories":1542},[47],{"categories":1544},[115],{"categories":1546},[],{"categories":1548},[],{"categories":1550},[],{"categories":1552},[93],{"categories":1554},[47],{"categories":1556},[],{"categories":1558},[162],{"categories":1560},[162],{"categories":1562},[149],{"categories":1564},[],{"categories":1566},[47],{"categories":1568},[47],{"categories":1570},[149],{"categories":1572},[162],{"categories":1574},[],{"categories":1576},[],{"categories":1578},[93],{"categories":1580},[93],{"categories":1582},[162],{"categories":1584},[93],{"categories":1586},[115],{"categories":1588},[115],{"categories":1590},[93],{"categories":1592},[93],{"categories":1594},[85],{"categories":1596},[47,196],{"categories":1598},[],{"categories":1600},[146],{"categories":1602},[162],{"categories":1604},[85],{"categories":1606},[47],{"categories":1608},[93],{"categories":1610},[146],{"categories":1612},[],{"categories":1614},[93],{"categories":1616},[93],{"categories":1618},[93],{"categories":1620},[47],{"categories":1622},[171],{"categories":1624},[47],{"categories":1626},[162],{"categories":1628},[146],{"categories":1630},[47],{"categories":1632},[],{"categories":1634},[93],{"categories":1636},[146],{"categories":1638},[47],{"categories":1640},[93],{"categories":1642},[93],{"categories":1644},[93],{"categories":1646},[171],{"categories":1648},[149],{"categories":1650},[47],{"categories":1652},[93],{"categories":1654},[47],{"categories":1656},[],{"categories":1658},[171],{"categories":1660},[115],{"categories":1662},[162],{"categories":1664},[47],{"categories":1666},[93],{"categories":1668},[],{"categories":1670},[],{"categories":1672},[47],{"categories":1674},[93],{"categories":1676},[47],{"categories":1678},[115],{"categories":1680},[47],{"categories":1682},[93],{"categories":1684},[93],{"categories":1686},[],{"categories":1688},[47],{"categories":1690},[],{"categories":1692},[],{"categories":1694},[47],{"categories":1696},[93],{"categories":1698},[],{"categories":1700},[],{"categories":1702},[149],{"categories":1704},[47],{"categories":1706},[149],{"categories":1708},[115],{"categories":1710},[47],{"categories":1712},[47],{"categories":1714},[93],{"categories":1716},[47],{"categories":1718},[93],{"categories":1720},[],{"categories":1722},[],{"categories":1724},[47],{"categories":1726},[196],{"categories":1728},[47],{"categories":1730},[],{"categories":1732},[],{"categories":1734},[85],{"categories":1736},[],{"categories":1738},[],{"categories":1740},[47],{"categories":1742},[],{"categories":1744},[],{"categories":1746},[162],{"categories":1748},[115],{"categories":1750},[171],{"categories":1752},[88],{"categories":1754},[47],{"categories":1756},[47],{"categories":1758},[88],{"categories":1760},[],{"categories":1762},[146],{"categories":1764},[47],{"categories":1766},[93],{"categories":1768},[88],{"categories":1770},[47],{"categories":1772},[47],{"categories":1774},[85],{"categories":1776},[47],{"categories":1778},[],{"categories":1780},[85],{"categories":1782},[47],{"categories":1784},[171],{"categories":1786},[93],{"categories":1788},[115],{"categories":1790},[47],{"categories":1792},[88],{"categories":1794},[47],{"categories":1796},[47],{"categories":1798},[93],{"categories":1800},[],{"categories":1802},[47],{"categories":1804},[162],{"categories":1806},[85],{"categories":1808},[47],{"categories":1810},[47],{"categories":1812},[],{"categories":1814},[115],{"categories":1816},[47],{"categories":1818},[47],{"categories":1820},[],{"categories":1822},[88],{"categories":1824},[88],{"categories":1826},[47],{"categories":1828},[47],{"categories":1830},[96],{"categories":1832},[47],{"categories":1834},[47],{"categories":1836},[],{"categories":1838},[162],{"categories":1840},[47],{"categories":1842},[],{"categories":1844},[],{"categories":1846},[47],{"categories":1848},[115],{"categories":1850},[],{"categories":1852},[196],{"categories":1854},[47],{"categories":1856},[47],{"categories":1858},[],{"categories":1860},[47],{"categories":1862},[162],{"categories":1864},[47],{"categories":1866},[47],{"categories":1868},[47,196],{"categories":1870},[47],{"categories":1872},[47],{"categories":1874},[146],{"categories":1876},[93],{"categories":1878},[],{"categories":1880},[93],{"categories":1882},[93],{"categories":1884},[47],{"categories":1886},[47],{"categories":1888},[47],{"categories":1890},[47],{"categories":1892},[85],{"categories":1894},[149],{"categories":1896},[85],{"categories":1898},[162],{"categories":1900},[146],{"categories":1902},[93],{"categories":1904},[47],{"categories":1906},[],{"categories":1908},[47],{"categories":1910},[115],{"categories":1912},[47],{"categories":1914},[93],{"categories":1916},[47],{"categories":1918},[47],{"categories":1920},[88],{"categories":1922},[],{"categories":1924},[196],{"categories":1926},[146],{"categories":1928},[146],{"categories":1930},[162],{"categories":1932},[93],{"categories":1934},[47],{"categories":1936},[88],{"categories":1938},[115],{"categories":1940},[146],{"categories":1942},[93],{"categories":1944},[47],{"categories":1946},[],{"categories":1948},[47],{"categories":1950},[47],{"categories":1952},[],{"categories":1954},[],{"categories":1956},[47],{"categories":1958},[47],{"categories":1960},[47],{"categories":1962},[162],{"categories":1964},[47],{"categories":1966},[47],{"categories":1968},[93],{"categories":1970},[47],{"categories":1972},[47],{"categories":1974},[],{"categories":1976},[149],{"categories":1978},[47],{"categories":1980},[93],{"categories":1982},[],{"categories":1984},[],{"categories":1986},[47],{"categories":1988},[47],{"categories":1990},[47],{"categories":1992},[115],{"categories":1994},[],{"categories":1996},[146],{"categories":1998},[47],{"categories":2000},[196],{"categories":2002},[115],{"categories":2004},[162],{"categories":2006},[162],{"categories":2008},[115],{"categories":2010},[115],{"categories":2012},[196],{"categories":2014},[],{"categories":2016},[115],{"categories":2018},[47],{"categories":2020},[85],{"categories":2022},[47],{"categories":2024},[115],{"categories":2026},[],{"categories":2028},[47],{"categories":2030},[162],{"categories":2032},[149],{"categories":2034},[47],{"categories":2036},[115],{"categories":2038},[47],{"categories":2040},[162],{"categories":2042},[93],{"categories":2044},[115],{"categories":2046},[93],{"categories":2048},[196],{"categories":2050},[93],{"categories":2052},[47],{"categories":2054},[47],{"categories":2056},[162],{"categories":2058},[47],{"categories":2060},[],{"categories":2062},[88],{"categories":2064},[],{"categories":2066},[],{"categories":2068},[47],{"categories":2070},[93],{"categories":2072},[47],{"categories":2074},[47],{"categories":2076},[47],{"categories":2078},[47],{"categories":2080},[],{"categories":2082},[149],{"categories":2084},[85],{"categories":2086},[93],{"categories":2088},[146],{"categories":2090},[],{"categories":2092},[47],{"categories":2094},[162],{"categories":2096},[47],{"categories":2098},[196],{"categories":2100},[196],{"categories":2102},[],{"categories":2104},[93],{"categories":2106},[115],{"categories":2108},[115],{"categories":2110},[47],{"categories":2112},[93],{"categories":2114},[],{"categories":2116},[146],{"categories":2118},[47],{"categories":2120},[47],{"categories":2122},[],{"categories":2124},[47],{"categories":2126},[],{"categories":2128},[47],{"categories":2130},[162],{"categories":2132},[196],{"categories":2134},[47],{"categories":2136},[162],{"categories":2138},[88],{"categories":2140},[47],{"categories":2142},[],{"categories":2144},[93],{"categories":2146},[85],{"categories":2148},[85],{"categories":2150},[],{"categories":2152},[47],{"categories":2154},[47],{"categories":2156},[47],{"categories":2158},[162],{"categories":2160},[146],{"categories":2162},[47],{"categories":2164},[93],{"categories":2166},[],{"categories":2168},[47],{"categories":2170},[47],{"categories":2172},[93],{"categories":2174},[47],{"categories":2176},[],{"categories":2178},[93],{"categories":2180},[47],{"categories":2182},[93],{"categories":2184},[93],{"categories":2186},[162],{"categories":2188},[],{"categories":2190},[47],{"categories":2192},[93],{"categories":2194},[88],{"categories":2196},[47],{"categories":2198},[],{"categories":2200},[47],{"categories":2202},[],{"categories":2204},[47],{"categories":2206},[47],{"categories":2208},[],{"categories":2210},[47],{"categories":2212},[47],{"categories":2214},[115],{"categories":2216},[47],{"categories":2218},[47],{"categories":2220},[85],{"categories":2222},[47],{"categories":2224},[47],{"categories":2226},[149],{"categories":2228},[115],{"categories":2230},[93],{"categories":2232},[],{"categories":2234},[47],{"categories":2236},[146],{"categories":2238},[47],{"categories":2240},[171],{"categories":2242},[47],{"categories":2244},[93],{"categories":2246},[],{"categories":2248},[],{"categories":2250},[],{"categories":2252},[85],{"categories":2254},[115],{"categories":2256},[93],{"categories":2258},[47],{"categories":2260},[47],{"categories":2262},[47],{"categories":2264},[146],{"categories":2266},[93],{"categories":2268},[],{"categories":2270},[93],{"categories":2272},[93],{"categories":2274},[],{"categories":2276},[47],{"categories":2278},[93],{"categories":2280},[47],{"categories":2282},[],{"categories":2284},[47],{"categories":2286},[47],{"categories":2288},[115],{"categories":2290},[146],{"categories":2292},[93],{"categories":2294},[146],{"categories":2296},[93],{"categories":2298},[88],{"categories":2300},[],{"categories":2302},[],{"categories":2304},[47],{"categories":2306},[85],{"categories":2308},[93],{"categories":2310},[115],{"categories":2312},[],{"categories":2314},[146],{"categories":2316},[],{"categories":2318},[162],{"categories":2320},[162],{"categories":2322},[146],{"categories":2324},[162],{"categories":2326},[47],{"categories":2328},[],{"categories":2330},[47],{"categories":2332},[47],{"categories":2334},[],{"categories":2336},[171],{"categories":2338},[47],{"categories":2340},[196],{"categories":2342},[162],{"categories":2344},[],{"categories":2346},[93],{"categories":2348},[47],{"categories":2350},[85],{"categories":2352},[93],{"categories":2354},[93],{"categories":2356},[47],{"categories":2358},[47],{"categories":2360},[],{"categories":2362},[85],{"categories":2364},[47],{"categories":2366},[88],{"categories":2368},[162],{"categories":2370},[146],{"categories":2372},[],{"categories":2374},[],{"categories":2376},[],{"categories":2378},[93],{"categories":2380},[162],{"categories":2382},[146],{"categories":2384},[115],{"categories":2386},[47],{"categories":2388},[115],{"categories":2390},[93],{"categories":2392},[146],{"categories":2394},[47],{"categories":2396},[],{"categories":2398},[47],{"categories":2400},[93],{"categories":2402},[146],{"categories":2404},[115],{"categories":2406},[88],{"categories":2408},[162],{"categories":2410},[47],{"categories":2412},[115],{"categories":2414},[171],{"categories":2416},[],{"categories":2418},[],{"categories":2420},[149],{"categories":2422},[93],{"categories":2424},[47,162],{"categories":2426},[115],{"categories":2428},[47],{"categories":2430},[47],{"categories":2432},[93],{"categories":2434},[47],{"categories":2436},[93],{"categories":2438},[47],{"categories":2440},[47],{"categories":2442},[],{"categories":2444},[162],{"categories":2446},[146],{"categories":2448},[47],{"categories":2450},[149],{"categories":2452},[93],{"categories":2454},[171],{"categories":2456},[196],{"categories":2458},[],{"categories":2460},[47],{"categories":2462},[88],{"categories":2464},[93],{"categories":2466},[85],{"categories":2468},[93],{"categories":2470},[93],{"categories":2472},[96],{"categories":2474},[162],{"categories":2476},[47],{"categories":2478},[47],{"categories":2480},[],{"categories":2482},[],{"categories":2484},[],{"categories":2486},[196],{"categories":2488},[47],{"categories":2490},[115],{"categories":2492},[47],{"categories":2494},[47],{"categories":2496},[47],{"categories":2498},[],{"categories":2500},[149],{"categories":2502},[88],{"categories":2504},[93],{"categories":2506},[],{"categories":2508},[47],{"categories":2510},[93],{"categories":2512},[47],{"categories":2514},[196],{"categories":2516},[],{"categories":2518},[146],{"categories":2520},[146],{"categories":2522},[],{"categories":2524},[162],{"categories":2526},[47],{"categories":2528},[146],{"categories":2530},[47],{"categories":2532},[88],{"categories":2534},[93],{"categories":2536},[],{"categories":2538},[115],{"categories":2540},[47],{"categories":2542},[47],{"categories":2544},[146],{"categories":2546},[93],{"categories":2548},[115],{"categories":2550},[],{"categories":2552},[93],{"categories":2554},[93],{"categories":2556},[146],{"categories":2558},[47],{"categories":2560},[47],{"categories":2562},[],{"categories":2564},[47],{"categories":2566},[47],{"categories":2568},[196],{"categories":2570},[115],{"categories":2572},[149],{"categories":2574},[149],{"categories":2576},[],{"categories":2578},[],{"categories":2580},[],{"categories":2582},[93],{"categories":2584},[93],{"categories":2586},[162],{"categories":2588},[162],{"categories":2590},[47],{"categories":2592},[47],{"categories":2594},[47],{"categories":2596},[47],{"categories":2598},[93],{"categories":2600},[],{"categories":2602},[],{"categories":2604},[47],{"categories":2606},[],{"categories":2608},[47],{"categories":2610},[93],{"categories":2612},[146],{"categories":2614},[47],{"categories":2616},[47],{"categories":2618},[],{"categories":2620},[96],{"categories":2622},[47],{"categories":2624},[146],{"categories":2626},[47],{"categories":2628},[88],{"categories":2630},[47],{"categories":2632},[171],{"categories":2634},[93],{"categories":2636},[47],{"categories":2638},[47],{"categories":2640},[93],{"categories":2642},[47],{"categories":2644},[162],{"categories":2646},[],{"categories":2648},[115],{"categories":2650},[93],{"categories":2652},[],{"categories":2654},[115],{"categories":2656},[93],{"categories":2658},[93],{"categories":2660},[47],{"categories":2662},[93],{"categories":2664},[],{"categories":2666},[88],{"categories":2668},[93],{"categories":2670},[],{"categories":2672},[162],{"categories":2674},[47],{"categories":2676},[85],{"categories":2678},[115],{"categories":2680},[196],{"categories":2682},[93],{"categories":2684},[47],{"categories":2686},[93],{"categories":2688},[85],{"categories":2690},[],{"categories":2692},[47],{"categories":2694},[],{"categories":2696},[],{"categories":2698},[146],{"categories":2700},[47,88],{"categories":2702},[93],{"categories":2704},[47],{"categories":2706},[],{"categories":2708},[85],{"categories":2710},[149],{"categories":2712},[47],{"categories":2714},[162],{"categories":2716},[47],{"categories":2718},[93],{"categories":2720},[47],{"categories":2722},[47],{"categories":2724},[47],{"categories":2726},[115],{"categories":2728},[93],{"categories":2730},[47],{"categories":2732},[],{"categories":2734},[],{"categories":2736},[93],{"categories":2738},[47],{"categories":2740},[196],{"categories":2742},[],{"categories":2744},[47],{"categories":2746},[93],{"categories":2748},[93],{"categories":2750},[],{"categories":2752},[93],{"categories":2754},[47],{"categories":2756},[171],{"categories":2758},[47],{"categories":2760},[149],{"categories":2762},[93],{"categories":2764},[47],{"categories":2766},[196],{"categories":2768},[],{"categories":2770},[47],{"categories":2772},[171],{"categories":2774},[146],{"categories":2776},[47],{"categories":2778},[47],{"categories":2780},[],{"categories":2782},[171],{"categories":2784},[115],{"categories":2786},[47],{"categories":2788},[47],{"categories":2790},[85],{"categories":2792},[47],{"categories":2794},[],{"categories":2796},[],{"categories":2798},[146],{"categories":2800},[47],{"categories":2802},[149],{"categories":2804},[171],{"categories":2806},[93],{"categories":2808},[171],{"categories":2810},[115],{"categories":2812},[],{"categories":2814},[47],{"categories":2816},[],{"categories":2818},[47],{"categories":2820},[93],{"categories":2822},[47],{"categories":2824},[47],{"categories":2826},[],{"categories":2828},[47,162],{"categories":2830},[115],{"categories":2832},[93],{"categories":2834},[162],{"categories":2836},[47],{"categories":2838},[85],{"categories":2840},[],{"categories":2842},[],{"categories":2844},[93],{"categories":2846},[47],{"categories":2848},[162],{"categories":2850},[85],{"categories":2852},[162],{"categories":2854},[162],{"categories":2856},[47],{"categories":2858},[171],{"categories":2860},[47],{"categories":2862},[162],{"categories":2864},[],{"categories":2866},[146,47],{"categories":2868},[196],{"categories":2870},[85],{"categories":2872},[],{"categories":2874},[47],{"categories":2876},[88],{"categories":2878},[88],{"categories":2880},[47],{"categories":2882},[47],{"categories":2884},[47],{"categories":2886},[162],{"categories":2888},[93],{"categories":2890},[115],{"categories":2892},[171],{"categories":2894},[146],{"categories":2896},[47],{"categories":2898},[47],{"categories":2900},[47],{"categories":2902},[47],{"categories":2904},[85],{"categories":2906},[47],{"categories":2908},[93],{"categories":2910},[93],{"categories":2912},[162],{"categories":2914},[115],{"categories":2916},[162],{"categories":2918},[],{"categories":2920},[],{"categories":2922},[149],{"categories":2924},[47],{"categories":2926},[162],{"categories":2928},[47],{"categories":2930},[146],{"categories":2932},[47],{"categories":2934},[47],{"categories":2936},[47],{"categories":2938},[149],{"categories":2940},[47],{"categories":2942},[47],{"categories":2944},[47],{"categories":2946},[93],{"categories":2948},[93],{"categories":2950},[47,88],{"categories":2952},[],{"categories":2954},[146],{"categories":2956},[],{"categories":2958},[47],{"categories":2960},[115],{"categories":2962},[85],{"categories":2964},[85],{"categories":2966},[93],{"categories":2968},[93],{"categories":2970},[93],{"categories":2972},[47],{"categories":2974},[47],{"categories":2976},[88],{"categories":2978},[162],{"categories":2980},[171],{"categories":2982},[47],{"categories":2984},[],{"categories":2986},[115],{"categories":2988},[47],{"categories":2990},[47],{"categories":2992},[47],{"categories":2994},[47],{"categories":2996},[47],{"categories":2998},[162],{"categories":3000},[115],{"categories":3002},[162],{"categories":3004},[162],{"categories":3006},[47],{"categories":3008},[47],{"categories":3010},[47],{"categories":3012},[93],{"categories":3014},[115],{"categories":3016},[47],{"categories":3018},[93],{"categories":3020},[47],{"categories":3022},[47],{"categories":3024},[146],{"categories":3026},[47],{"categories":3028},[47],{"categories":3030},[196],{"categories":3032},[47],{"categories":3034},[96],{"categories":3036},[93],{"categories":3038},[47],{"categories":3040},[47],{"categories":3042},[115],{"categories":3044},[47],{"categories":3046},[93],{"categories":3048},[171],{"categories":3050},[47],{"categories":3052},[47],{"categories":3054},[88],{"categories":3056},[47],{"categories":3058},[],{"categories":3060},[47],{"categories":3062},[162],{"categories":3064},[47],{"categories":3066},[],{"categories":3068},[],{"categories":3070},[],{"categories":3072},[88],{"categories":3074},[47],{"categories":3076},[93],{"categories":3078},[115],{"categories":3080},[115],{"categories":3082},[115],{"categories":3084},[115],{"categories":3086},[],{"categories":3088},[85],{"categories":3090},[93],{"categories":3092},[115],{"categories":3094},[47],{"categories":3096},[85],{"categories":3098},[93],{"categories":3100},[47],{"categories":3102},[47,93],{"categories":3104},[93],{"categories":3106},[196],{"categories":3108},[115],{"categories":3110},[93],{"categories":3112},[115],{"categories":3114},[93],{"categories":3116},[47],{"categories":3118},[],{"categories":3120},[115],{"categories":3122},[171],{"categories":3124},[85],{"categories":3126},[47],{"categories":3128},[47],{"categories":3130},[],{"categories":3132},[162],{"categories":3134},[],{"categories":3136},[85],{"categories":3138},[93],{"categories":3140},[115],{"categories":3142},[47],{"categories":3144},[115],{"categories":3146},[85],{"categories":3148},[115],{"categories":3150},[115],{"categories":3152},[],{"categories":3154},[88],{"categories":3156},[93],{"categories":3158},[115],{"categories":3160},[115],{"categories":3162},[115],{"categories":3164},[115],{"categories":3166},[115],{"categories":3168},[115],{"categories":3170},[115],{"categories":3172},[115],{"categories":3174},[115],{"categories":3176},[115],{"categories":3178},[149],{"categories":3180},[85],{"categories":3182},[47],{"categories":3184},[47],{"categories":3186},[93],{"categories":3188},[93],{"categories":3190},[],{"categories":3192},[47,85],{"categories":3194},[],{"categories":3196},[93],{"categories":3198},[115],{"categories":3200},[93],{"categories":3202},[47],{"categories":3204},[47],{"categories":3206},[47],{"categories":3208},[47],{"categories":3210},[47],{"categories":3212},[93],{"categories":3214},[88],{"categories":3216},[93],{"categories":3218},[],{"categories":3220},[146],{"categories":3222},[115],{"categories":3224},[47],{"categories":3226},[],{"categories":3228},[],{"categories":3230},[93],{"categories":3232},[146],{"categories":3234},[47],{"categories":3236},[],{"categories":3238},[47],{"categories":3240},[],{"categories":3242},[171],{"categories":3244},[47],{"categories":3246},[],{"categories":3248},[],{"categories":3250},[115],{"categories":3252},[85],{"categories":3254},[47],{"categories":3256},[88],{"categories":3258},[47],{"categories":3260},[47],{"categories":3262},[47],{"categories":3264},[88],{"categories":3266},[146],{"categories":3268},[],{"categories":3270},[47],{"categories":3272},[115],{"categories":3274},[],{"categories":3276},[146],{"categories":3278},[47],{"categories":3280},[171],{"categories":3282},[47],{"categories":3284},[196],{"categories":3286},[],{"categories":3288},[171],{"categories":3290},[],{"categories":3292},[47],{"categories":3294},[],{"categories":3296},[93],{"categories":3298},[162],{"categories":3300},[],{"categories":3302},[88],{"categories":3304},[85],{"categories":3306},[93],{"categories":3308},[146],{"categories":3310},[162],{"categories":3312},[],{"categories":3314},[],{"categories":3316},[47],{"categories":3318},[85],{"categories":3320},[47],{"categories":3322},[171],{"categories":3324},[],{"categories":3326},[93],{"categories":3328},[93],{"categories":3330},[93],{"categories":3332},[115],{"categories":3334},[162],{"categories":3336},[47],{"categories":3338},[93],{"categories":3340},[96],{"categories":3342},[47],{"categories":3344},[93],{"categories":3346},[47],{"categories":3348},[96],{"categories":3350},[171],{"categories":3352},[115],{"categories":3354},[],{"categories":3356},[171],{"categories":3358},[],{"categories":3360},[162],{"categories":3362},[93],{"categories":3364},[],{"categories":3366},[47],{"categories":3368},[47],{"categories":3370},[47],{"categories":3372},[93],{"categories":3374},[88],{"categories":3376},[85],{"categories":3378},[47],{"categories":3380},[146],{"categories":3382},[162],{"categories":3384},[162],{"categories":3386},[47],{"categories":3388},[149],{"categories":3390},[93],{"categories":3392},[47],{"categories":3394},[93],{"categories":3396},[47],{"categories":3398},[88],{"categories":3400},[146],{"categories":3402},[162],{"categories":3404},[93],{"categories":3406},[47],{"categories":3408},[47],{"categories":3410},[93],{"categories":3412},[47],{"categories":3414},[115],{"categories":3416},[],{"categories":3418},[85],{"categories":3420},[47],{"categories":3422},[47],{"categories":3424},[47],{"categories":3426},[93],{"categories":3428},[47],{"categories":3430},[47],{"categories":3432},[47],{"categories":3434},[],{"categories":3436},[47],{"categories":3438},[146],{"categories":3440},[88],{"categories":3442},[115],{"categories":3444},[93],{"categories":3446},[47],{"categories":3448},[47],{"categories":3450},[146],{"categories":3452},[93],{"categories":3454},[47],{"categories":3456},[171],{"categories":3458},[149],{"categories":3460},[47],{"categories":3462},[47],{"categories":3464},[115],{"categories":3466},[47],{"categories":3468},[93],{"categories":3470},[196],{"categories":3472},[47],{"categories":3474},[93],{"categories":3476},[149],{"categories":3478},[],{"categories":3480},[93],{"categories":3482},[162],{"categories":3484},[146],{"categories":3486},[47],{"categories":3488},[85],{"categories":3490},[162],{"categories":3492},[88],{"categories":3494},[162],{"categories":3496},[47],{"categories":3498},[],{"categories":3500},[93],{"categories":3502},[93],{"categories":3504},[47],{"categories":3506},[47],{"categories":3508},[149],{"categories":3510},[],{"categories":3512},[115],{"categories":3514},[],{"categories":3516},[115],{"categories":3518},[47],{"categories":3520},[47],{"categories":3522},[93],{"categories":3524},[93],{"categories":3526},[93],{"categories":3528},[],{"categories":3530},[115],{"categories":3532},[47],{"categories":3534},[],{"categories":3536},[47],{"categories":3538},[47],{"categories":3540},[],{"categories":3542},[146],{"categories":3544},[162],{"categories":3546},[93],{"categories":3548},[47],{"categories":3550},[47],{"categories":3552},[171],{"categories":3554},[47],{"categories":3556},[47],{"categories":3558},[85],{"categories":3560},[],{"categories":3562},[47],{"categories":3564},[],{"categories":3566},[85],{"categories":3568},[115],{"categories":3570},[162],{"categories":3572},[47],{"categories":3574},[47],{"categories":3576},[47],{"categories":3578},[162],{"categories":3580},[115],{"categories":3582},[146],{"categories":3584},[47],{"categories":3586},[47],{"categories":3588},[47],{"categories":3590},[115],{"categories":3592},[146],{"categories":3594},[47],{"categories":3596},[115],{"categories":3598},[146],{"categories":3600},[47],{"categories":3602},[115],{"categories":3604},[93],{"categories":3606},[93],{"categories":3608},[93],{"categories":3610},[162],{"categories":3612},[115],{"categories":3614},[93],{"categories":3616},[93],{"categories":3618},[47],{"categories":3620},[162],{"categories":3622},[146],{"categories":3624},[47],{"categories":3626},[],{"categories":3628},[93],{"categories":3630},[],{"categories":3632},[],{"categories":3634},[],{"categories":3636},[88],{"categories":3638},[93],{"categories":3640},[47],{"categories":3642},[93],{"categories":3644},[85],{"categories":3646},[93],{"categories":3648},[171],{"categories":3650},[93],{"categories":3652},[],{"categories":3654},[93],{"categories":3656},[],{"categories":3658},[85],{"categories":3660},[93],{"categories":3662},[],{"categories":3664},[93],{"categories":3666},[47],{"categories":3668},[47],{"categories":3670},[115],{"categories":3672},[47],{"categories":3674},[93],{"categories":3676},[47],{"categories":3678},[47],{"categories":3680},[115],{"categories":3682},[93],{"categories":3684},[162],{"categories":3686},[146],{"categories":3688},[85],{"categories":3690},[],{"categories":3692},[93],{"categories":3694},[146],{"categories":3696},[196],{"categories":3698},[115],{"categories":3700},[47],{"categories":3702},[146],{"categories":3704},[47],{"categories":3706},[85],{"categories":3708},[],{"categories":3710},[93],{"categories":3712},[47],{"categories":3714},[47],{"categories":3716},[93],{"categories":3718},[47],{"categories":3720},[146],{"categories":3722},[],{"categories":3724},[93],{"categories":3726},[96],{"categories":3728},[115],{"categories":3730},[93],{"categories":3732},[88],{"categories":3734},[],{"categories":3736},[47],{"categories":3738},[96],{"categories":3740},[47],{"categories":3742},[93],{"categories":3744},[115],{"categories":3746},[85],{"categories":3748},[196],{"categories":3750},[47],{"categories":3752},[47],{"categories":3754},[47],{"categories":3756},[115],{"categories":3758},[88],{"categories":3760},[47],{"categories":3762},[146],{"categories":3764},[115],{"categories":3766},[196],{"categories":3768},[47],{"categories":3770},[],{"categories":3772},[],{"categories":3774},[47],{"categories":3776},[196],{"categories":3778},[149],{"categories":3780},[93],{"categories":3782},[93],{"categories":3784},[115],{"categories":3786},[47],{"categories":3788},[85],{"categories":3790},[47],{"categories":3792},[146],{"categories":3794},[93],{"categories":3796},[93],{"categories":3798},[47],{"categories":3800},[171],{"categories":3802},[47],{"categories":3804},[93],{"categories":3806},[],{"categories":3808},[47],{"categories":3810},[47],{"categories":3812},[47],{"categories":3814},[115],{"categories":3816},[85],{"categories":3818},[],{"categories":3820},[47],{"categories":3822},[47],{"categories":3824},[162],{"categories":3826},[146],{"categories":3828},[47],{"categories":3830},[47,93],{"categories":3832},[171,88],{"categories":3834},[47],{"categories":3836},[47],{"categories":3838},[],{"categories":3840},[93],{"categories":3842},[],{"categories":3844},[162],{"categories":3846},[47],{"categories":3848},[162],{"categories":3850},[],{"categories":3852},[47],{"categories":3854},[115],{"categories":3856},[47],{"categories":3858},[],{"categories":3860},[93],{"categories":3862},[47],{"categories":3864},[],{"categories":3866},[146],{"categories":3868},[47],{"categories":3870},[93],{"categories":3872},[47],{"categories":3874},[85],{"categories":3876},[93],{"categories":3878},[47],{"categories":3880},[],{"categories":3882},[196],{"categories":3884},[171],{"categories":3886},[88],{"categories":3888},[88],{"categories":3890},[47],{"categories":3892},[85],{"categories":3894},[85],{"categories":3896},[47],{"categories":3898},[93],{"categories":3900},[47],{"categories":3902},[47],{"categories":3904},[47],{"categories":3906},[162],{"categories":3908},[85],{"categories":3910},[47],{"categories":3912},[171],{"categories":3914},[115],{"categories":3916},[47],{"categories":3918},[47],{"categories":3920},[93],{"categories":3922},[47],{"categories":3924},[],{"categories":3926},[162],{"categories":3928},[],{"categories":3930},[162],{"categories":3932},[93],{"categories":3934},[85],{"categories":3936},[],{"categories":3938},[196],{"categories":3940},[47],{"categories":3942},[162],{"categories":3944},[],{"categories":3946},[115],{"categories":3948},[93],{"categories":3950},[162],{"categories":3952},[47],{"categories":3954},[93],{"categories":3956},[162],{"categories":3958},[93],{"categories":3960},[115],{"categories":3962},[85],{"categories":3964},[115],{"categories":3966},[162],{"categories":3968},[47],{"categories":3970},[146],{"categories":3972},[88],{"categories":3974},[47],{"categories":3976},[47],{"categories":3978},[47],{"categories":3980},[47],{"categories":3982},[47],{"categories":3984},[93],{"categories":3986},[47],{"categories":3988},[93],{"categories":3990},[47],{"categories":3992},[47],{"categories":3994},[85],{"categories":3996},[47],{"categories":3998},[93],{"categories":4000},[146],{"categories":4002},[93],{"categories":4004},[93],{"categories":4006},[85],{"categories":4008},[93],{"categories":4010},[146],{"categories":4012},[],{"categories":4014},[47],{"categories":4016},[149],{"categories":4018},[47],{"categories":4020},[47],{"categories":4022},[162],{"categories":4024},[],{"categories":4026},[93],{"categories":4028},[171],{"categories":4030},[47],{"categories":4032},[115],{"categories":4034},[171],{"categories":4036},[93],{"categories":4038},[88],{"categories":4040},[88],{"categories":4042},[47],{"categories":4044},[47],{"categories":4046},[47],{"categories":4048},[85],{"categories":4050},[],{"categories":4052},[47],{"categories":4054},[93],{"categories":4056},[93],{"categories":4058},[47],{"categories":4060},[162],{"categories":4062},[],{"categories":4064},[85],{"categories":4066},[47],{"categories":4068},[47],{"categories":4070},[93],{"categories":4072},[93],{"categories":4074},[],{"categories":4076},[162],{"categories":4078},[162],{"categories":4080},[171],{"categories":4082},[146],{"categories":4084},[],{"categories":4086},[47],{"categories":4088},[93],{"categories":4090},[85],{"categories":4092},[47],{"categories":4094},[162],{"categories":4096},[85],{"categories":4098},[115],{"categories":4100},[115],{"categories":4102},[],{"categories":4104},[115],{"categories":4106},[93],{"categories":4108},[146],{"categories":4110},[149],{"categories":4112},[47],{"categories":4114},[],{"categories":4116},[93],{"categories":4118},[115],{"categories":4120},[162],{"categories":4122},[47],{"categories":4124},[88],{"categories":4126},[47],{"categories":4128},[85],{"categories":4130},[196],{"categories":4132},[85],{"categories":4134},[],{"categories":4136},[],{"categories":4138},[93],{"categories":4140},[115],{"categories":4142},[],{"categories":4144},[93],{"categories":4146},[93],{"categories":4148},[93],{"categories":4150},[],{"categories":4152},[47],{"categories":4154},[],{"categories":4156},[115],{"categories":4158},[85],{"categories":4160},[146],{"categories":4162},[47],{"categories":4164},[115],{"categories":4166},[47],{"categories":4168},[115],{"categories":4170},[],{"categories":4172},[115],{"categories":4174},[85],{"categories":4176},[93],{"categories":4178},[47],{"categories":4180},[],{"categories":4182},[162],{"categories":4184},[93],{"categories":4186},[96],{"categories":4188},[93],{"categories":4190},[85],{"categories":4192},[],{"categories":4194},[],{"categories":4196},[],{"categories":4198},[146],{"categories":4200},[93],{"categories":4202},[47],{"categories":4204},[47],{"categories":4206},[],{"categories":4208},[],{"categories":4210},[],{"categories":4212},[146],{"categories":4214},[],{"categories":4216},[93],{"categories":4218},[47],{"categories":4220},[85],{"categories":4222},[],{"categories":4224},[],{"categories":4226},[146],{"categories":4228},[47],{"categories":4230},[115],{"categories":4232},[],{"categories":4234},[171],{"categories":4236},[115],{"categories":4238},[171],{"categories":4240},[149],{"categories":4242},[47],{"categories":4244},[47],{"categories":4246},[],{"categories":4248},[],{"categories":4250},[93],{"categories":4252},[],{"categories":4254},[47],{"categories":4256},[],{"categories":4258},[93],{"categories":4260},[47],{"categories":4262},[],{"categories":4264},[93],{"categories":4266},[47],{"categories":4268},[115],{"categories":4270},[47],{"categories":4272},[171],{"categories":4274},[88],{"categories":4276},[47],{"categories":4278},[47],{"categories":4280},[149],{"categories":4282},[93],{"categories":4284},[93],{"categories":4286},[],{"categories":4288},[],{"categories":4290},[47],{"categories":4292},[],{"categories":4294},[115],{"categories":4296},[88],{"categories":4298},[],{"categories":4300},[],{"categories":4302},[146],{"categories":4304},[85],{"categories":4306},[],{"categories":4308},[88],{"categories":4310},[171],{"categories":4312},[47],{"categories":4314},[162],{"categories":4316},[85],{"categories":4318},[149],{"categories":4320},[88],{"categories":4322},[162],{"categories":4324},[162],{"categories":4326},[],{"categories":4328},[47],{"categories":4330},[],{"categories":4332},[93],{"categories":4334},[85],{"categories":4336},[146],{"categories":4338},[85],{"categories":4340},[93],{"categories":4342},[196],{"categories":4344},[47],{"categories":4346},[47],{"categories":4348},[85],{"categories":4350},[93],{"categories":4352},[],{"categories":4354},[47],{"categories":4356},[162],{"categories":4358},[115],{"categories":4360},[162],{"categories":4362},[47],{"categories":4364},[],{"categories":4366},[146],{"categories":4368},[115],{"categories":4370},[85],{"categories":4372},[93],{"categories":4374},[47],{"categories":4376},[47],{"categories":4378},[93],{"categories":4380},[47],{"categories":4382},[88],{"categories":4384},[93],{"categories":4386},[93,196],{"categories":4388},[93],{"categories":4390},[162],{"categories":4392},[47],{"categories":4394},[47],{"categories":4396},[149],{"categories":4398},[93],{"categories":4400},[171],{"categories":4402},[93],{"categories":4404},[88],{"categories":4406},[],{"categories":4408},[93],{"categories":4410},[47],{"categories":4412},[88],{"categories":4414},[],{"categories":4416},[],{"categories":4418},[47],{"categories":4420},[93],{"categories":4422},[149],{"categories":4424},[171],{"categories":4426},[47],{"categories":4428},[47],{"categories":4430},[93],{"categories":4432},[],{"categories":4434},[115],{"categories":4436},[],{"categories":4438},[115],{"categories":4440},[162],{"categories":4442},[85],{"categories":4444},[162],{"categories":4446},[47],{"categories":4448},[93],{"categories":4450},[47],{"categories":4452},[47],{"categories":4454},[171],{"categories":4456},[162],{"categories":4458},[],{"categories":4460},[115],{"categories":4462},[47],{"categories":4464},[],{"categories":4466},[47],{"categories":4468},[47],{"categories":4470},[47],{"categories":4472},[93],{"categories":4474},[47],{"categories":4476},[96],{"categories":4478},[93],{"categories":4480},[47],{"categories":4482},[47],{"categories":4484},[47],{"categories":4486},[47],{"categories":4488},[47],{"categories":4490},[88],{"categories":4492},[],{"categories":4494},[96],{"categories":4496},[115],{"categories":4498},[93],{"categories":4500},[47],{"categories":4502},[162],{"categories":4504},[],{"categories":4506},[162],{"categories":4508},[162],{"categories":4510},[93],{"categories":4512},[162],{"categories":4514},[47],{"categories":4516},[47],{"categories":4518},[162],{"categories":4520},[47],{"categories":4522},[93],{"categories":4524},[115],{"categories":4526},[47],{"categories":4528},[47],{"categories":4530},[47],{"categories":4532},[88],{"categories":4534},[47],{"categories":4536},[93],{"categories":4538},[146],{"categories":4540},[],{"categories":4542},[149],{"categories":4544},[93],{"categories":4546},[47],{"categories":4548},[],{"categories":4550},[47],{"categories":4552},[47],{"categories":4554},[115],{"categories":4556},[47],{"categories":4558},[93],{"categories":4560},[171],{"categories":4562},[],{"categories":4564},[],{"categories":4566},[115],{"categories":4568},[115],{"categories":4570},[47],{"categories":4572},[171],{"categories":4574},[47],{"categories":4576},[85],{"categories":4578},[93],{"categories":4580},[47],{"categories":4582},[93],{"categories":4584},[93],{"categories":4586},[47],{"categories":4588},[88],{"categories":4590},[],{"categories":4592},[149],{"categories":4594},[],{"categories":4596},[115],{"categories":4598},[47],{"categories":4600},[149],{"categories":4602},[47],{"categories":4604},[162],{"categories":4606},[162],{"categories":4608},[162],{"categories":4610},[93],{"categories":4612},[93],{"categories":4614},[146],{"categories":4616},[149],{"categories":4618},[149],{"categories":4620},[],{"categories":4622},[115],{"categories":4624},[47],{"categories":4626},[47],{"categories":4628},[162],{"categories":4630},[],{"categories":4632},[115],{"categories":4634},[115],{"categories":4636},[115],{"categories":4638},[],{"categories":4640},[93],{"categories":4642},[47],{"categories":4644},[],{"categories":4646},[85],{"categories":4648},[88],{"categories":4650},[],{"categories":4652},[47],{"categories":4654},[47],{"categories":4656},[],{"categories":4658},[162],{"categories":4660},[],{"categories":4662},[],{"categories":4664},[],{"categories":4666},[],{"categories":4668},[47],{"categories":4670},[115],{"categories":4672},[],{"categories":4674},[],{"categories":4676},[47],{"categories":4678},[47],{"categories":4680},[47],{"categories":4682},[149],{"categories":4684},[47],{"categories":4686},[149],{"categories":4688},[],{"categories":4690},[149],{"categories":4692},[149],{"categories":4694},[196],{"categories":4696},[93],{"categories":4698},[162],{"categories":4700},[],{"categories":4702},[],{"categories":4704},[149],{"categories":4706},[162],{"categories":4708},[162],{"categories":4710},[162],{"categories":4712},[],{"categories":4714},[85],{"categories":4716},[162],{"categories":4718},[162],{"categories":4720},[85],{"categories":4722},[162],{"categories":4724},[88],{"categories":4726},[162],{"categories":4728},[162],{"categories":4730},[162],{"categories":4732},[149],{"categories":4734},[115],{"categories":4736},[115],{"categories":4738},[47],{"categories":4740},[162],{"categories":4742},[149],{"categories":4744},[196],{"categories":4746},[149],{"categories":4748},[149],{"categories":4750},[149],{"categories":4752},[],{"categories":4754},[88],{"categories":4756},[],{"categories":4758},[196],{"categories":4760},[162],{"categories":4762},[162],{"categories":4764},[162],{"categories":4766},[93],{"categories":4768},[115,88],{"categories":4770},[149],{"categories":4772},[],{"categories":4774},[],{"categories":4776},[149],{"categories":4778},[],{"categories":4780},[149],{"categories":4782},[115],{"categories":4784},[93],{"categories":4786},[],{"categories":4788},[162],{"categories":4790},[47],{"categories":4792},[146],{"categories":4794},[],{"categories":4796},[47],{"categories":4798},[],{"categories":4800},[115],{"categories":4802},[85],{"categories":4804},[149],{"categories":4806},[],{"categories":4808},[162],{"categories":4810},[115],[4812,4860,4986,5059],{"id":4813,"title":4814,"ai":4815,"body":4820,"categories":4840,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4841,"navigation":65,"path":4850,"published_at":4851,"question":48,"scraped_at":4851,"seo":4852,"sitemap":4853,"source_id":4854,"source_name":71,"source_type":72,"source_url":4846,"stem":4855,"tags":4856,"thumbnail_url":48,"tldr":4857,"tweet":48,"unknown_tags":4858,"__hash__":4859},"summaries\u002Fsummaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary.md","Revisiting the Link Between AI Literacy and Usage",{"provider":7,"model":8,"input_tokens":4816,"output_tokens":4817,"processing_time_ms":4818,"cost_usd":4819},4114,466,2777,0.0017275,{"type":14,"value":4821,"toc":4836},[4822,4826,4829,4833],[17,4823,4825],{"id":4824},"deconstructing-the-literacy-usage-paradox","Deconstructing the Literacy-Usage Paradox",[22,4827,4828],{},"Recent discourse has frequently cited a counterintuitive trend: users with lower digital literacy appear to show higher engagement with AI tools. This paper re-examines this claim by shifting the focus from generalized 'AI receptivity' to 'AI adoption breadth.' The authors argue that the perceived link between low literacy and high usage is often an artifact of how AI interaction is measured. When researchers look at specific tool types rather than aggregate usage, the relationship becomes more nuanced, suggesting that different AI interfaces cater to different cognitive and technical skill sets.",[17,4830,4832],{"id":4831},"adoption-breadth-as-a-metric","Adoption Breadth as a Metric",[22,4834,4835],{},"Instead of treating 'AI usage' as a monolithic behavior, the authors propose measuring 'adoption breadth'—the number and variety of distinct AI-powered applications a user integrates into their workflow. The study indicates that high-literacy users may be more selective, focusing on tools that offer specific, high-utility outcomes, whereas lower-literacy users might engage with a wider, more superficial array of tools that offer immediate, low-friction gratification. This distinction is critical for product builders: designing for 'receptivity' (broad appeal) requires a different UX strategy than designing for 'utility' (targeted, high-complexity tasks). The findings suggest that the barrier to entry for AI is not just technical skill, but the ability to identify which tools provide genuine value versus those that merely provide novelty.",{"title":40,"searchDepth":41,"depth":41,"links":4837},[4838,4839],{"id":4824,"depth":41,"text":4825},{"id":4831,"depth":41,"text":4832},[47],{"content_references":4842,"triage":4847},[4843],{"type":54,"title":4844,"author":4845,"url":4846,"context":58},"AI Receptivity or AI Adoption Breadth? A Tool-Specific Reanalysis of the Lower-Literacy\u002FHigher-Usage Link","Not specified","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.13734",{"relevance":62,"novelty":61,"quality":61,"actionability":62,"composite":4848,"reasoning":4849},3.45,"Category: AI & LLMs. The article provides insights into how AI adoption varies with digital literacy, which is relevant for product builders considering user engagement strategies. It introduces the concept of 'adoption breadth' as a new metric, offering a nuanced perspective that could inform design and UX decisions.","\u002Fsummaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary","2026-06-15 12:57:03",{"title":4814,"description":40},{"loc":4850},"550d76167889c102","summaries\u002F550d76167889c102-revisiting-the-link-between-ai-literacy-and-usage-summary",[75,77,76],"The paper challenges the assumption that lower digital literacy correlates with higher AI usage, suggesting instead that 'adoption breadth'—the variety of tools used—is a more accurate metric for understanding AI engagement.",[],"aYTDIHT_uNyz7VZyhTzhZnPnCAKTTs3-nAP8MWI18XA",{"id":4861,"title":4862,"ai":4863,"body":4868,"categories":4952,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":4953,"navigation":65,"path":4973,"published_at":4974,"question":48,"scraped_at":4975,"seo":4976,"sitemap":4977,"source_id":4978,"source_name":4979,"source_type":72,"source_url":4980,"stem":4981,"tags":4982,"thumbnail_url":48,"tldr":4983,"tweet":48,"unknown_tags":4984,"__hash__":4985},"summaries\u002Fsummaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary.md","Leveraging Public AI Incident Databases for Risk Mitigation",{"provider":7,"model":8,"input_tokens":4864,"output_tokens":4865,"processing_time_ms":4866,"cost_usd":4867},4083,756,4370,0.00215475,{"type":14,"value":4869,"toc":4947},[4870,4874,4877,4881,4884,4919,4923,4926],[17,4871,4873],{"id":4872},"learning-from-documented-ai-failures","Learning from Documented AI Failures",[22,4875,4876],{},"Most organizations deploying AI systems operate in a vacuum, failing to consult existing repositories of historical AI failures. By ignoring these records, teams repeat preventable mistakes. The AI Incident Database (AIID) serves as a primary example, cataloging real-world harms—such as the $35 million deepfake fraud incident—to help engineers and product managers anticipate failure modes before they reach production. These databases provide a roadmap for red-teaming, safety testing, and compliance, allowing builders to move from reactive troubleshooting to proactive risk management.",[17,4878,4880],{"id":4879},"key-public-repositories-for-ai-risk","Key Public Repositories for AI Risk",[22,4882,4883],{},"There are nine primary public databases and frameworks available for developers and researchers to query:",[4885,4886,4887,4895,4901,4907,4913],"ul",{},[4888,4889,4890,4894],"li",{},[4891,4892,4893],"strong",{},"AI Incident Database (AIID):"," The most comprehensive repository for documented AI harms, categorized by industry and failure type.",[4888,4896,4897,4900],{},[4891,4898,4899],{},"OECD AI Policy Observatory:"," Offers a global perspective on AI incidents and policy frameworks.",[4888,4902,4903,4906],{},[4891,4904,4905],{},"Stanford HAI AI Index:"," Provides high-level data on AI performance, ethics, and societal impact.",[4888,4908,4909,4912],{},[4891,4910,4911],{},"NIST AI Risk Management Framework (AI RMF):"," A structured approach for organizations to map, measure, and manage AI risks.",[4888,4914,4915,4918],{},[4891,4916,4917],{},"EU AI Act Compliance Databases:"," Essential for those operating in or targeting the European market, focusing on high-risk AI systems.",[17,4920,4922],{"id":4921},"integrating-incident-data-into-the-development-lifecycle","Integrating Incident Data into the Development Lifecycle",[22,4924,4925],{},"To effectively use these resources, teams should integrate them into their standard development workflows rather than treating them as static archives.",[4927,4928,4929,4935,4941],"ol",{},[4888,4930,4931,4934],{},[4891,4932,4933],{},"Pre-deployment Auditing:"," Query databases for incidents related to your specific domain (e.g., healthcare, finance) to identify common failure patterns like bias, hallucinations, or security vulnerabilities.",[4888,4936,4937,4940],{},[4891,4938,4939],{},"Red-Teaming:"," Use documented incidents as test cases for adversarial testing. If a competitor or similar system failed due to a specific prompt injection or data poisoning attack, build that scenario into your evaluation suite.",[4888,4942,4943,4946],{},[4891,4944,4945],{},"Compliance Mapping:"," Align your internal safety protocols with the categories defined in the NIST AI RMF to ensure your product meets emerging regulatory standards before they become mandatory.",{"title":40,"searchDepth":41,"depth":41,"links":4948},[4949,4950,4951],{"id":4872,"depth":41,"text":4873},{"id":4879,"depth":41,"text":4880},{"id":4921,"depth":41,"text":4922},[47],{"content_references":4954,"triage":4970},[4955,4960,4964,4967],{"type":4956,"title":4957,"url":4958,"context":4959},"tool","AI Incident Database","https:\u002F\u002Fincidentdatabase.ai\u002F","recommended",{"type":4956,"title":4961,"url":4962,"context":4963},"OECD AI Policy Observatory","https:\u002F\u002Foecd.ai\u002F","mentioned",{"type":4956,"title":4965,"url":4966,"context":4963},"Stanford HAI AI Index","https:\u002F\u002Faiindex.stanford.edu\u002F",{"type":4956,"title":4968,"url":4969,"context":4959},"NIST AI Risk Management Framework","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework",{"relevance":60,"novelty":61,"quality":61,"actionability":61,"composite":4971,"reasoning":4972},4.35,"Category: AI & LLMs. The article provides a comprehensive overview of public AI incident databases that can help organizations proactively mitigate risks, addressing a key pain point for product builders. It offers actionable steps for integrating these resources into development workflows, making it highly relevant and practical.","\u002Fsummaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary","2026-06-15 04:17:44","2026-06-15 12:56:54",{"title":4862,"description":40},{"loc":4973},"f3fa0c9086fbc79e","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fthe-global-databases-tracking-every-time-ai-goes-wrong-and-how-to-query-them-1891f4f181f6?source=rss----5517fd7b58a6---4","summaries\u002Ff3fa0c9086fbc79e-leveraging-public-ai-incident-databases-for-risk-m-summary",[75,77,76],"Organizations deploying AI can proactively identify and mitigate risks by querying nine public databases that catalog documented AI failures, ranging from deepfake fraud to algorithmic bias.",[],"xjyt4J3MqEhwnnRrLFQJ3JkqAsBaAXBUAbk24vb4sZI",{"id":4987,"title":4988,"ai":4989,"body":4994,"categories":5042,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5043,"navigation":65,"path":5048,"published_at":5049,"question":48,"scraped_at":5049,"seo":5050,"sitemap":5051,"source_id":5052,"source_name":71,"source_type":72,"source_url":5053,"stem":5054,"tags":5055,"thumbnail_url":48,"tldr":5056,"tweet":48,"unknown_tags":5057,"__hash__":5058},"summaries\u002Fsummaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary.md","A Tutorial on World Models and Physical AI",{"provider":7,"model":8,"input_tokens":4990,"output_tokens":4991,"processing_time_ms":4992,"cost_usd":4993},4062,435,2700,0.001668,{"type":14,"value":4995,"toc":5037},[4996,5000,5003,5007,5010,5030,5034],[17,4997,4999],{"id":4998},"the-role-of-world-models-in-physical-ai","The Role of World Models in Physical AI",[22,5001,5002],{},"World models represent a shift from purely reactive AI systems to those capable of internal simulation. By learning a predictive model of the environment, an agent can simulate the consequences of its actions before executing them in the real world. This capability is essential for Physical AI, where agents must navigate complex, dynamic, and often unpredictable physical spaces.",[17,5004,5006],{"id":5005},"core-components-of-predictive-simulation","Core Components of Predictive Simulation",[22,5008,5009],{},"The primary objective of these models is to bridge the gap between abstract intelligence and physical reality. This involves:",[4885,5011,5012,5018,5024],{},[4888,5013,5014,5017],{},[4891,5015,5016],{},"State Representation:"," Compressing high-dimensional sensory input (like video or lidar) into a latent space that captures the essential physics of the environment.",[4888,5019,5020,5023],{},[4891,5021,5022],{},"Action Dynamics:"," Learning a transition function that predicts how the state will evolve given a specific action or sequence of actions.",[4888,5025,5026,5029],{},[4891,5027,5028],{},"Planning and Reasoning:"," Utilizing the learned model to perform look-ahead searches or trajectory optimization, allowing the agent to evaluate potential outcomes and select the most effective path toward a goal.",[17,5031,5033],{"id":5032},"practical-implications-for-embodied-agents","Practical Implications for Embodied Agents",[22,5035,5036],{},"For builders, the transition toward world models suggests a move away from end-to-end imitation learning toward architectures that explicitly model causality and physical constraints. This approach is intended to improve sample efficiency and safety, as agents can 'fail' in simulation rather than in the physical environment. The research highlights that as we move toward more autonomous robotics and physical agents, the ability to internalize the 'laws' of the environment becomes the primary differentiator between brittle systems and robust, adaptive ones.",{"title":40,"searchDepth":41,"depth":41,"links":5038},[5039,5040,5041],{"id":4998,"depth":41,"text":4999},{"id":5005,"depth":41,"text":5006},{"id":5032,"depth":41,"text":5033},[47],{"content_references":5044,"triage":5045},[],{"relevance":61,"novelty":62,"quality":61,"actionability":62,"composite":5046,"reasoning":5047},3.6,"Category: AI & LLMs. The article discusses world models and their implications for Physical AI, which is relevant to AI engineering and addresses the audience's interest in practical applications of AI. It provides insights into how predictive models can enhance decision-making for AI agents, but lacks specific frameworks or tools that the audience could directly implement.","\u002Fsummaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary","2026-06-12 12:57:13",{"title":4988,"description":40},{"loc":5048},"bf30610d460fad7a","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.12783","summaries\u002Fbf30610d460fad7a-a-tutorial-on-world-models-and-physical-ai-summary",[75,76,77],"The provided source is a placeholder for a research paper on World Models and Physical AI, which explores how AI agents can learn internal representations of the physical world to improve decision-making and interaction.",[],"RSthAszLTngHU08ks1MEa_xOq26-M8O_kC1LHo92fYw",{"id":5060,"title":5061,"ai":5062,"body":5067,"categories":5095,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":5096,"navigation":65,"path":5104,"published_at":5105,"question":48,"scraped_at":5105,"seo":5106,"sitemap":5107,"source_id":5108,"source_name":71,"source_type":72,"source_url":5100,"stem":5109,"tags":5110,"thumbnail_url":48,"tldr":5111,"tweet":48,"unknown_tags":5112,"__hash__":5113},"summaries\u002Fsummaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary.md","Scalable Uncertainty Reasoning in Knowledge Graphs",{"provider":7,"model":8,"input_tokens":5063,"output_tokens":5064,"processing_time_ms":5065,"cost_usd":5066},4085,481,3016,0.00174275,{"type":14,"value":5068,"toc":5090},[5069,5073,5076,5080,5083,5087],[17,5070,5072],{"id":5071},"the-challenge-of-uncertainty-in-knowledge-graphs","The Challenge of Uncertainty in Knowledge Graphs",[22,5074,5075],{},"Traditional knowledge graphs (KGs) often operate under a closed-world or deterministic assumption, which fails to capture the inherent ambiguity of real-world data. As KGs grow to include millions or billions of facts, representing and reasoning over uncertainty—such as the confidence level of a specific relationship or the probability of an entity's attribute—becomes computationally prohibitive. This paper explores techniques to maintain logical consistency and query performance while integrating probabilistic weights into large-scale graph structures.",[17,5077,5079],{"id":5078},"scalable-reasoning-architectures","Scalable Reasoning Architectures",[22,5081,5082],{},"The authors propose a framework for uncertainty reasoning that avoids the exponential complexity typically associated with probabilistic graphical models. By leveraging approximation algorithms and localized reasoning, the approach allows for the propagation of uncertainty scores across graph paths without requiring a global re-computation of the entire knowledge base. This is particularly relevant for applications where KGs serve as the backbone for retrieval-augmented generation (RAG) or automated decision-making systems, where the reliability of the underlying data directly impacts the quality of the output.",[17,5084,5086],{"id":5085},"practical-implications-for-ai-systems","Practical Implications for AI Systems",[22,5088,5089],{},"For builders, the research highlights the trade-off between expressive power and system latency. The authors demonstrate that by constraining the scope of uncertainty propagation, it is possible to achieve near-real-time query performance on large datasets. This work provides a foundation for developers looking to move beyond simple triple-store architectures toward more robust, confidence-aware knowledge representations that can better handle noisy or incomplete data sources.",{"title":40,"searchDepth":41,"depth":41,"links":5091},[5092,5093,5094],{"id":5071,"depth":41,"text":5072},{"id":5078,"depth":41,"text":5079},{"id":5085,"depth":41,"text":5086},[47],{"content_references":5097,"triage":5102},[5098],{"type":54,"title":5061,"publisher":5099,"url":5100,"context":5101},"arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.16568","reviewed",{"relevance":60,"novelty":61,"quality":61,"actionability":62,"composite":63,"reasoning":5103},"Category: AI & LLMs. The article directly addresses the challenges of integrating uncertainty into knowledge graphs, which is crucial for AI-powered product builders. It provides insights into scalable reasoning architectures that can enhance the reliability of AI systems, making it relevant and actionable for developers looking to implement these concepts.","\u002Fsummaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary","2026-05-19 07:00:55",{"title":5061,"description":40},{"loc":5104},"f55a53594a64c586","summaries\u002Ff55a53594a64c586-scalable-uncertainty-reasoning-in-knowledge-graphs-summary",[75,77,76],"This paper addresses the computational challenges of managing probabilistic data in large-scale knowledge graphs, proposing methods for scalable uncertainty reasoning.",[],"0mI_9HrVdHiMqDFlBQ3fLzX7eooCfci5MmgFR5-QJ0I"]