{"as_of":"2026-08-18T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7eb3993cc08b6dda6c7d0648ae4940fd9e2cfb2cb35dd1bdd93c908a5c617464","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:29:20.255980Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-16T04:29:29.125699Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.11701","last_updated":"2022-06-27T05:15:20Z","snapshot_observed_at":"2026-08-18T17:00:41.763049Z","submitted_at":"2021-12-22T07:19:36Z","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.11701","snapshot_observed_at":"2026-08-16T12:29:20.255980Z","title":"Maximum entropy population-based training for zero-shot human-ai coordination, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12714","last_updated":"2025-04-20T20:10:41Z","snapshot_observed_at":"2026-08-18T20:15:23.762774Z","submitted_at":"2025-04-17T07:41:25Z","title":"Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-16T12:29:20.255980Z"},"links":{"cited_paper":"/paper/2112.11701","citing_paper":"/paper/2504.12714"},"observation_digest":"sha256:ebc51e52b69b7e0f78235bce6151225ec0f198fad5334a1b7ba1275a74499775","observation_id":"d43ebeda-afe1-47c4-8427-83181a5d56d5","resolution":{"observed_at":"2026-08-16T12:29:20.255980Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11701","last_updated":"2022-06-27T05:15:20Z","snapshot_observed_at":"2026-08-18T17:00:41.763049Z","submitted_at":"2021-12-22T07:19:36Z","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination","version":3},"cited_work":{"arxiv_id":"2112.11701","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.11701","snapshot_observed_at":"2026-08-16T04:29:29.125699Z","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination","venue":"cs.AI","work_id":"668c2982-5561-4be2-a157-39dbe187c0ce","year":2021},"citing_paper":{"arxiv_id":"2505.01336","last_updated":"2025-06-24T10:24:23Z","snapshot_observed_at":"2026-08-17T00:52:02.556101Z","submitted_at":"2025-05-02T15:08:17Z","title":"Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-16T04:29:29.079126Z"},"links":{"cited_paper":"/paper/2112.11701","citing_paper":"/paper/2505.01336"},"observation_digest":"sha256:65ae6d944879c913bcbac2cf4f7426212087b9b39fcc47b8e391c1c0d1f90286","observation_id":"1f3ddb2f-05cf-414a-a3a4-0afefb1430ba","resolution":{"observed_at":"2026-08-16T04:29:29.132849Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11701","last_updated":"2022-06-27T05:15:20Z","snapshot_observed_at":"2026-08-18T17:00:41.763049Z","submitted_at":"2021-12-22T07:19:36Z","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.11701","snapshot_observed_at":"2026-08-02T22:27:35.156745Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.17737","last_updated":"2026-06-01T00:59:52Z","snapshot_observed_at":"2026-08-18T17:24:01.825343Z","submitted_at":"2026-02-18T23:07:48Z","title":"NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T22:27:35.156745Z"},"links":{"cited_paper":"/paper/2112.11701","citing_paper":"/paper/2602.17737"},"observation_digest":"sha256:1510b7ef5305b6c2225a558cad202fd38a2a0f3182feabc14c9a11ba4d6567d6","observation_id":"03c9e4db-59e0-4a74-803c-09ace9d15cf4","resolution":{"observed_at":"2026-08-02T22:27:35.156745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2112.11701/citation-record","integrity":"/paper/2112.11701/integrity","json":"/paper/2112.11701/citation-record.json","paper":"/paper/2112.11701"},"outbound":[],"paper":{"arxiv_id":"2112.11701","last_updated":"2022-06-27T05:15:20Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T17:00:41.763049Z","submitted_at":"2021-12-22T07:19:36Z","title":"Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.11701."}