{"as_of":"2026-08-09T23:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc8409fe3bfb0228996cb3e7f016f504ab386f06e4e39acfb04aecc5a0565f9c","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:28:25.231349Z","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":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01158","snapshot_observed_at":"2026-08-07T00:28:25.231349Z","title":"Theory of mind as intrinsic motivation for multi-agent reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14224","last_updated":"2025-06-17T06:27:42Z","snapshot_observed_at":"2026-08-09T06:53:57.242931Z","submitted_at":"2025-06-17T06:27:42Z","title":"From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T00:28:25.231349Z"},"links":{"cited_paper":"/paper/2307.01158","citing_paper":"/paper/2506.14224"},"observation_digest":"sha256:53d2141b078c603a0bcc1e4034c0829cac54fe6047f7c5228a7c87bd58e727e9","observation_id":"b432b1bf-fac7-47ec-a019-7ed73ce1fd7b","resolution":{"observed_at":"2026-08-07T00:28:25.231349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01158","snapshot_observed_at":"2026-08-06T20:13:57.326001Z","title":"Theory of mind as intrinsic motivation for multi-agent reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.03682","last_updated":"2025-07-04T16:01:27Z","snapshot_observed_at":"2026-08-09T13:05:34.016531Z","submitted_at":"2025-07-04T16:01:27Z","title":"Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T20:13:57.326001Z"},"links":{"cited_paper":"/paper/2307.01158","citing_paper":"/paper/2507.03682"},"observation_digest":"sha256:063d9aa3548f18893cdbb0b6d8c4bb1f46b5bbf12e91eea71d0de54e35b6a747","observation_id":"60db662f-779f-4fc5-828d-54812b1396f3","resolution":{"observed_at":"2026-08-06T20:13:57.326001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01158","snapshot_observed_at":"2026-08-02T22:41:10.333440Z","title":"Theory of mind as intrinsic motivation for multi-agent reinforcement learning.arXiv preprint arXiv:2307.01158,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.16229","last_updated":"2026-05-25T05:51:24Z","snapshot_observed_at":"2026-08-09T05:14:54.152823Z","submitted_at":"2026-02-18T07:08:14Z","title":"Factored Latent Action World Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T22:41:10.333440Z"},"links":{"cited_paper":"/paper/2307.01158","citing_paper":"/paper/2602.16229"},"observation_digest":"sha256:8721d4dfb6b0e759863b14fdaa9d5905d2ef3c1064d00ae878e55b9680dad30b","observation_id":"49617ecd-282e-461b-9976-cfb828004d7f","resolution":{"observed_at":"2026-08-02T22:41:10.333440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2307.01158","doi":"10.48550/arxiv.2307.01158","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.01158","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Theory of","venue":"arXiv (Cornell University)","work_id":"98f33f7c-5709-4418-893e-2a03ca17cb03","year":null},"citing_paper":{"arxiv_id":"2606.27068","last_updated":"2026-06-25T14:14:24Z","snapshot_observed_at":"2026-08-07T22:43:21.947586Z","submitted_at":"2026-06-25T14:14:24Z","title":"Parametric Open Source Games","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-26T01:59:35.625359Z"},"links":{"cited_paper":"/paper/2307.01158","citing_paper":"/paper/2606.27068"},"observation_digest":"sha256:a04e497d8574d5db4f6548da68a80d9abf8cef2711aff795006b369ecf7a8941","observation_id":"df6a680c-7d1f-46dd-b7e7-e879631b85f0","resolution":{"observed_at":"2026-06-26T02:08:54.862076Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01158","snapshot_observed_at":"2026-08-05T15:25:40.680350Z","title":"Theory of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03644","last_updated":"2026-08-04T13:29:00Z","snapshot_observed_at":"2026-08-08T18:58:23.959751Z","submitted_at":"2026-08-04T13:29:00Z","title":"Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details","version":1},"reference_index":279,"source":"arxiv_source","source_observed_at":"2026-08-05T15:25:40.680350Z"},"links":{"cited_paper":"/paper/2307.01158","citing_paper":"/paper/2608.03644"},"observation_digest":"sha256:89b51f78857d2f9b1305d260859106d6d2b501afa2dcefe4a5557f0277ec5a7c","observation_id":"7965885b-d6b1-428e-b5e9-7e869ab37b7c","resolution":{"observed_at":"2026-08-05T15:25:40.680350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.01158/citation-record","integrity":"/paper/2307.01158/integrity","json":"/paper/2307.01158/citation-record.json","paper":"/paper/2307.01158"},"outbound":[],"paper":{"arxiv_id":"2307.01158","last_updated":"2023-07-18T18:04:08Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T12:12:57.997672Z","submitted_at":"2023-07-03T17:07:18Z","title":"Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.01158."}