{"as_of":"2026-08-12T09:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca87ae8c3b4abadb502342c7ac836afe7c88f6e0cf75045d9aeb2581c605a64a","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T23:01:43.054719Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.05004","last_updated":"2023-07-11T03:53:46Z","snapshot_observed_at":"2026-07-06T15:52:24.803146Z","submitted_at":"2023-07-11T03:53:46Z","title":"Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05004","snapshot_observed_at":"2026-08-10T23:01:43.054719Z","title":", author Taniguchi, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00226","last_updated":"2025-07-16T04:59:12Z","snapshot_observed_at":"2026-08-10T22:53:46.213847Z","submitted_at":"2024-12-31T02:23:10Z","title":"Generative Emergent Communication: Large Language Model is a Collective World Model","version":2},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-10T23:01:43.054719Z"},"links":{"cited_paper":"/paper/2307.05004","citing_paper":"/paper/2501.00226"},"observation_digest":"sha256:c1aa6c5428c320a6700c20d47c6154541b3c333df1baffce4c2e142409c30316","observation_id":"099ae7e8-7fd0-406e-9481-24ee26a3f4df","resolution":{"observed_at":"2026-08-10T23:01:43.054719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05004","last_updated":"2023-07-11T03:53:46Z","snapshot_observed_at":"2026-07-06T15:52:24.803146Z","submitted_at":"2023-07-11T03:53:46Z","title":"Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2307.05004","doi":"10.48550/arxiv.2307.05004","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.05004","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Control as probabilistic inference as an emergent communication mechanism in multi-agent reinforcement learning","venue":"arXiv (Cornell University)","work_id":"cc2e3c87-6cdf-492d-9217-4b0d3a7e990b","year":2023},"citing_paper":{"arxiv_id":"2504.03353","last_updated":"2025-10-07T13:35:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-04T11:17:52Z","title":"Decentralized Collective World Model for Emergent Communication and Coordination","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-22T21:37:29.644513Z"},"links":{"cited_paper":"/paper/2307.05004","citing_paper":"/paper/2504.03353"},"observation_digest":"sha256:576fdb2c9364c177d188141f68247ecb043bb4823914ef37fbc7a97690100615","observation_id":"00c5bdd0-66d3-402d-ad32-9c1970e124db","resolution":{"observed_at":"2026-05-22T21:42:10.021684Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05004","last_updated":"2023-07-11T03:53:46Z","snapshot_observed_at":"2026-07-06T15:52:24.803146Z","submitted_at":"2023-07-11T03:53:46Z","title":"Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05004","snapshot_observed_at":"2026-08-07T13:26:22.871300Z","title":"arXiv preprint arXiv:2307.05004 (2023) Title Suppressed Due to Excessive Length 15","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21985","last_updated":"2025-05-28T05:23:47Z","snapshot_observed_at":"2026-08-12T03:50:28.204267Z","submitted_at":"2025-05-28T05:23:47Z","title":"Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:26:22.871300Z"},"links":{"cited_paper":"/paper/2307.05004","citing_paper":"/paper/2505.21985"},"observation_digest":"sha256:d6dee497988c4cb08b1ec5fd442cb43acbdb46f0f0adce6342220cb4975b9ad0","observation_id":"3a450943-f5de-4e89-b840-c5faef348f5f","resolution":{"observed_at":"2026-08-07T13:26:22.871300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.05004/citation-record","integrity":"/paper/2307.05004/integrity","json":"/paper/2307.05004/citation-record.json","paper":"/paper/2307.05004"},"outbound":[],"paper":{"arxiv_id":"2307.05004","last_updated":"2023-07-11T03:53:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T15:52:24.803146Z","submitted_at":"2023-07-11T03:53:46Z","title":"Control as Probabilistic Inference as an Emergent Communication Mechanism in 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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.05004."}