{"as_of":"2026-08-17T00:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77714e57a78df060647d6f7e9faba42b2ce0211131ea567776da84b4956b2183","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:21:40.579494Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T01:07:29.896833Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-08-15T20:21:40.579494Z","title":"Are large vision language models good game players?arXiv preprint arXiv:2503.02358, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.13426","last_updated":"2025-05-19T17:54:39Z","snapshot_observed_at":"2026-08-16T18:48:02.870022Z","submitted_at":"2025-05-19T17:54:39Z","title":"G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:21:40.579494Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2505.13426"},"observation_digest":"sha256:955bca95aeffe1fa5bf0aff36ce2978e063ed309424621a0e9e1b99e7bde60b2","observation_id":"7a376b86-59df-4aeb-b987-b5ce65fecef5","resolution":{"observed_at":"2026-08-15T20:21:40.579494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":"2503.02358","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-07-03T01:07:29.896833Z","title":"Are large vision language models good game players?","venue":null,"work_id":"a4ee6773-f0c9-401b-b0fa-5a81942f8118","year":2025},"citing_paper":{"arxiv_id":"2506.02387","last_updated":"2026-04-13T08:26:12Z","snapshot_observed_at":"2026-08-11T01:40:24.202082Z","submitted_at":"2025-06-03T02:57:38Z","title":"VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-19T11:57:08.314088Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2506.02387"},"observation_digest":"sha256:688d2c310e9d68d0ac392d2b11390d475436322a17b6a8b39fc03ccd6ff11337","observation_id":"a02fe79c-1624-437b-8b49-0ee96d2f2def","resolution":{"observed_at":"2026-05-19T11:57:16.260439Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":"2503.02358","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-07-03T01:07:29.896833Z","title":"Are large vision language models good game players?","venue":null,"work_id":"a4ee6773-f0c9-401b-b0fa-5a81942f8118","year":2025},"citing_paper":{"arxiv_id":"2506.03610","last_updated":"2026-04-14T22:54:06Z","snapshot_observed_at":"2026-08-14T14:56:14.272480Z","submitted_at":"2025-06-04T06:40:33Z","title":"Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-19T12:01:42.681135Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2506.03610"},"observation_digest":"sha256:e9cdb066a498e5874f1f2446592f017bf89515942a8fa331f9b0db27637a45c9","observation_id":"13890d53-bbb2-41f5-aaca-ccddb212759b","resolution":{"observed_at":"2026-05-19T12:02:16.612341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-08-07T06:00:19.512670Z","title":"Are large vision language models good game players?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.11102","last_updated":"2025-06-06T17:52:18Z","snapshot_observed_at":"2026-08-07T05:54:56.593167Z","submitted_at":"2025-06-06T17:52:18Z","title":"Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey","version":1},"reference_index":108,"source":"pdf_text","source_observed_at":"2026-08-07T06:00:19.512670Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2506.11102"},"observation_digest":"sha256:04ab6dc0145aad5ba083755e47c9ed78ba14d5f51774a990265ddb152a27de26","observation_id":"1ce07bc8-1df4-45d2-82ff-aaabc762d526","resolution":{"observed_at":"2026-08-07T06:00:19.512670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":"2503.02358","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-07-03T01:07:29.896833Z","title":"Are large vision language models good game players?","venue":null,"work_id":"a4ee6773-f0c9-401b-b0fa-5a81942f8118","year":2025},"citing_paper":{"arxiv_id":"2604.08340","last_updated":"2026-08-03T15:01:45Z","snapshot_observed_at":"2026-08-16T17:35:25.832072Z","submitted_at":"2026-04-09T15:12:36Z","title":"Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T17:59:48.877783Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2604.08340"},"observation_digest":"sha256:4c36147dbc26d86f5edee3623f3dc2e925400f50965e8fb8928c0da09ef2199a","observation_id":"85ca0a40-c2fa-4da1-ab9f-7a09d8626334","resolution":{"observed_at":"2026-05-11T05:41:00.390122Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-08-04T05:32:20.439029Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.08340","last_updated":"2026-08-03T15:01:45Z","snapshot_observed_at":"2026-08-16T17:35:25.832072Z","submitted_at":"2026-04-09T15:12:36Z","title":"Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T05:32:20.439029Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2604.08340"},"observation_digest":"sha256:18dee64e1bf44e32321f47b4774e69edea9bccd54c0a6245a2fcc185fbc8be86","observation_id":"7a6ae204-9b8b-4ac0-a32c-3c25c34e0474","resolution":{"observed_at":"2026-08-04T05:32:20.439029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?","version":1},"cited_work":{"arxiv_id":"2503.02358","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.02358","snapshot_observed_at":"2026-07-03T01:07:29.896833Z","title":"Are large vision language models good game players?","venue":null,"work_id":"a4ee6773-f0c9-401b-b0fa-5a81942f8118","year":2025},"citing_paper":{"arxiv_id":"2606.09826","last_updated":"2026-06-08T17:59:43Z","snapshot_observed_at":"2026-08-02T20:00:31.322130Z","submitted_at":"2026-06-08T17:59:43Z","title":"OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-06-27T16:50:36.194650Z"},"links":{"cited_paper":"/paper/2503.02358","citing_paper":"/paper/2606.09826"},"observation_digest":"sha256:83dce0539d2967d463c1a422b9ae589d5b8627876396a6f6b9f3e61d115fb4da","observation_id":"7f301212-2bbe-4801-bce7-83d5a7ee00a1","resolution":{"observed_at":"2026-07-03T01:07:29.898758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.02358/citation-record","integrity":"/paper/2503.02358/integrity","json":"/paper/2503.02358/citation-record.json","paper":"/paper/2503.02358"},"outbound":[],"paper":{"arxiv_id":"2503.02358","last_updated":"2025-03-04T07:29:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T20:33:37.514072Z","submitted_at":"2025-03-04T07:29:03Z","title":"Are Large Vision Language Models Good Game Players?"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.02358."}