{"as_of":"2026-08-05T15:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b0779c0d540ea37ce5b6676cbce7041652f527092eaa97dd2880ea50eab35094","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":19,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T11:39:36.109624Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2509.08827","last_updated":"2025-10-09T17:08:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-10T17:59:43Z","title":"A Survey of Reinforcement Learning for Large Reasoning Models","version":3},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-05-18T00:02:24.352947Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2509.08827"},"observation_digest":"sha256:b9c5bd3f95a8788736fa0cad6053123408705c62a503fba55dfa09c9190e63db","observation_id":"4c9f6ccd-2de4-4977-b58b-c9f83556d22d","resolution":{"observed_at":"2026-05-18T00:02:25.496860Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-03T11:39:36.109624Z","title":"In Proceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 17960–17967","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2601.05633","last_updated":"2026-06-03T09:15:38Z","snapshot_observed_at":"2026-08-03T11:39:35.108408Z","submitted_at":"2026-01-09T08:42:44Z","title":"GIFT: Games as Informal Training for Generalizable LLMs","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T11:39:36.109624Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2601.05633"},"observation_digest":"sha256:be56991922cdba27d9f981ac829a4e0d7cfd1d1b90e807df3ea55ea9dc5f58a6","observation_id":"2ec3151c-6e05-4a34-a7e6-63dd2a264af3","resolution":{"observed_at":"2026-08-03T11:39:36.109624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2601.11868","last_updated":"2026-01-17T01:29:30Z","snapshot_observed_at":"2026-07-06T22:41:58.373427Z","submitted_at":"2026-01-17T01:29:30Z","title":"Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-11T03:37:07.841385Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2601.11868"},"observation_digest":"sha256:27083761712365659c007434f858d546d0ccec5ebf1598f6fc8d7d6c737cd3ee","observation_id":"ba6d4cc9-f1fd-4bd6-8dcc-cb5f6381aad1","resolution":{"observed_at":"2026-05-11T03:37:08.016661Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2603.15432","last_updated":"2026-04-08T15:52:59Z","snapshot_observed_at":"2026-07-31T12:22:36.137299Z","submitted_at":"2026-03-16T15:37:07Z","title":"Gym-V: A Unified Vision Environment System for Agentic Vision Research","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T10:05:09.049846Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2603.15432"},"observation_digest":"sha256:2c72abd6cd70954d43f86af8efec02e95751ab9427d6154913432ce45bacd968","observation_id":"66837434-36e2-4076-a8f5-530cc7a20379","resolution":{"observed_at":"2026-05-15T10:05:25.980266Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.00226","last_updated":"2026-04-30T21:04:38Z","snapshot_observed_at":"2026-07-06T23:13:42.661364Z","submitted_at":"2026-04-30T21:04:38Z","title":"Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-09T20:12:36.456731Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.00226"},"observation_digest":"sha256:f137e485aa9d36b164f1fc4e5b2af6832ab3a8481688e77f23a1f274f7fc1e50","observation_id":"ddab6be2-f675-4993-8a50-445d73cf32f4","resolution":{"observed_at":"2026-05-11T15:21:07.844294Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.02751","last_updated":"2026-05-10T16:16:37Z","snapshot_observed_at":"2026-07-06T23:15:46.390406Z","submitted_at":"2026-05-04T15:54:46Z","title":"Mitigating Misalignment Contagion by Steering with Implicit Traits","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-08T18:26:07.863552Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.02751"},"observation_digest":"sha256:47d114a823219e42913a7f47dde1a822e088272e7bfd35f0024e1400fb642e9d","observation_id":"84f76475-f6b5-474d-9499-d59fefb6850f","resolution":{"observed_at":"2026-05-09T06:25:48.491067Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.02751","last_updated":"2026-05-10T16:16:37Z","snapshot_observed_at":"2026-07-06T23:15:46.390406Z","submitted_at":"2026-05-04T15:54:46Z","title":"Mitigating Misalignment Contagion by Steering with Implicit Traits","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-12T02:18:07.412933Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.02751"},"observation_digest":"sha256:63e1b16e4d6e51380643ec190fd251fc1c5a4ed7cfcac3bf546a2a166a2e01fd","observation_id":"eddde280-af10-4e7a-a458-24b958508c79","resolution":{"observed_at":"2026-05-12T07:41:44.029361Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.08721","last_updated":"2026-05-09T06:10:32Z","snapshot_observed_at":"2026-08-02T18:42:40.519373Z","submitted_at":"2026-05-09T06:10:32Z","title":"Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T03:59:13.198980Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.08721"},"observation_digest":"sha256:5006619ead0dd2f58fc09b753023ccf7ab33dd20765ca8d91af96e51f263da3c","observation_id":"9cad5851-df3c-427d-b3b2-78398015ea4e","resolution":{"observed_at":"2026-05-12T06:46:43.663160Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.09965","last_updated":"2026-05-12T15:54:46Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T04:16:41Z","title":"Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-12T03:25:24.844859Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.09965"},"observation_digest":"sha256:974614335ddbab862279a2692526137a2cd8f4fe798d338d03dfe2d159f9f017","observation_id":"86188c6c-c605-4f65-84a7-fcb0afda14fb","resolution":{"observed_at":"2026-05-12T03:26:18.963624Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.09965","last_updated":"2026-05-12T15:54:46Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T04:16:41Z","title":"Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-13T06:44:28.552513Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.09965"},"observation_digest":"sha256:94d88ba70a401b1413cec1e6f8b37c8ed1f09a106b85bd130c1e48266b0df171","observation_id":"0c7d7f06-20af-4b2b-bf4d-dfeab58df77c","resolution":{"observed_at":"2026-05-13T06:47:26.935264Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.20744","last_updated":"2026-05-20T05:46:52Z","snapshot_observed_at":"2026-08-01T19:34:25.326316Z","submitted_at":"2026-05-20T05:46:52Z","title":"Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T06:56:27.532299Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.20744"},"observation_digest":"sha256:ae5626cd39ccf9a51510c2666e036b048f4803d2e190cf1757993a719fe82e74","observation_id":"ce08208c-8e75-42bb-a418-4911500509b7","resolution":{"observed_at":"2026-05-21T06:59:45.541386Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.24539","last_updated":"2026-05-23T12:10:52Z","snapshot_observed_at":"2026-07-06T23:34:38.098785Z","submitted_at":"2026-05-23T12:10:52Z","title":"DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T13:12:46.927103Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.24539"},"observation_digest":"sha256:a2be1b00e610d5348811292bc408c510108c896422805c730e13f47c9cca4e3a","observation_id":"3630c65e-b528-447d-92d5-41d339f941b5","resolution":{"observed_at":"2026-06-30T13:14:40.659353Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2605.29512","last_updated":"2026-05-28T07:33:47Z","snapshot_observed_at":"2026-07-06T23:38:56.014434Z","submitted_at":"2026-05-28T07:33:47Z","title":"MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T07:15:27.939886Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2605.29512"},"observation_digest":"sha256:36fac5e1fefbae71987cc04749fa83f717ae1aa36854a18fa3b1fd34472bc86b","observation_id":"5082dbc8-f575-4c23-b2cd-daa31f7fbb1e","resolution":{"observed_at":"2026-06-29T07:23:13.232548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2606.06556","last_updated":"2026-06-04T10:43:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-04T10:43:14Z","title":"Robots Need More than VLA and World Models","version":1},"reference_index":166,"source":"arxiv_source","source_observed_at":"2026-06-28T01:01:33.530167Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2606.06556"},"observation_digest":"sha256:65a06b882cef4c33d2204ebf443d254f6ff24064228d16b299b7de6c1a8bff72","observation_id":"f3fccabb-f33c-4ba9-a144-8100698145a9","resolution":{"observed_at":"2026-06-28T01:11:28.923607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2606.11627","last_updated":"2026-08-04T16:18:18Z","snapshot_observed_at":"2026-08-05T14:52:26.129989Z","submitted_at":"2026-06-10T03:43:43Z","title":"When Context Returns: Toward Robust Internalization in On-Policy Distillation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-27T10:16:56.233147Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2606.11627"},"observation_digest":"sha256:a9cb688a882258feced457e6aa3a77c23afa83e35eebd95ba0ec0425e1d9930b","observation_id":"2c7c47ea-691a-4f81-83c8-3c1c56b56f0b","resolution":{"observed_at":"2026-07-03T10:07:55.767963Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2606.12191","last_updated":"2026-06-10T15:15:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-10T15:15:01Z","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","version":1},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-06-27T09:46:30.702256Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2606.12191"},"observation_digest":"sha256:16b7a2de2d13fd9a8ce0a9f9c0bd6ea8487c94b444e339f97f483f5b1df01745","observation_id":"ac7cbd6e-d767-41af-bf7e-7f4109abf986","resolution":{"observed_at":"2026-07-03T10:58:02.800260Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":"2504.11442","doi":"10.48550/arxiv.2504.11442","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Textarena","venue":"ArXiv.org","work_id":"5e2b14af-8a88-4c5c-8bfd-831d9590aa34","year":2025},"citing_paper":{"arxiv_id":"2606.19338","last_updated":"2026-06-17T17:59:34Z","snapshot_observed_at":"2026-07-06T23:54:37.596257Z","submitted_at":"2026-06-17T17:59:34Z","title":"Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T21:17:02.332687Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2606.19338"},"observation_digest":"sha256:3036c7bba4e72e4b487083986e6a345d51fb2e8af50bebd93990a68a6c64d500","observation_id":"37e9ea6e-16ed-44b2-9856-1f02ca4090e5","resolution":{"observed_at":"2026-07-04T00:19:13.732132Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-01T16:07:59.781845Z","title":"arXiv preprint arXiv:2504.11442 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18110","last_updated":"2026-07-20T16:08:49Z","snapshot_observed_at":"2026-08-05T10:41:27.894489Z","submitted_at":"2026-07-20T16:08:49Z","title":"LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-01T16:07:59.781845Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2607.18110"},"observation_digest":"sha256:84be5e02948ecbd1f249a475735e7c090ffd7b4391100ddca2beb8712e9ab303","observation_id":"5d2f70d4-1daf-4a40-bed2-2af15a1452dd","resolution":{"observed_at":"2026-08-01T16:07:59.781845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.11442","snapshot_observed_at":"2026-08-01T02:58:29.285874Z","title":"arXiv preprint arXiv:2504.11442 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25308","last_updated":"2026-07-28T05:39:01Z","snapshot_observed_at":"2026-08-05T09:28:39.486019Z","submitted_at":"2026-07-28T05:39:01Z","title":"CAST: Game Solvers as Turn-Level Teachers for LLM Agents","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T02:58:29.285874Z"},"links":{"cited_paper":"/paper/2504.11442","citing_paper":"/paper/2607.25308"},"observation_digest":"sha256:a28da868d830a4de33c36b25c723378e9810e3513d8ede12813bd4bb6ccd5ead","observation_id":"3b3c3bbe-145d-4822-9bc8-d3f64ae2e238","resolution":{"observed_at":"2026-08-01T02:58:29.285874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.11442/citation-record","integrity":"/paper/2504.11442/integrity","json":"/paper/2504.11442/citation-record.json","paper":"/paper/2504.11442"},"outbound":[],"paper":{"arxiv_id":"2504.11442","last_updated":"2025-05-24T04:10:59Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T21:09:55.394184Z","submitted_at":"2025-04-15T17:55:20Z","title":"TextArena"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2504.11442."}