{"as_of":"2026-08-18T18:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5decb96f22adc8ede479d78b078c5eaf3a3b59e858bf408c8c8e36af146611ed","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:02:50.920797Z","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":"2026-08-12T19:02:51.146713Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.09817","last_updated":"2018-04-25T22:03:27Z","snapshot_observed_at":"2026-08-14T19:21:51.728428Z","submitted_at":"2018-04-25T22:03:27Z","title":"Multiagent Soft Q-Learning","version":1},"cited_work":{"arxiv_id":"1804.09817","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.09817","snapshot_observed_at":"2026-08-12T19:02:51.146713Z","title":"Multiagent Soft Q-Learning","venue":"cs.AI","work_id":"04a28c00-7cd1-4447-901e-974150f3c166","year":2018},"citing_paper":{"arxiv_id":"2411.11099","last_updated":"2024-11-17T15:00:39Z","snapshot_observed_at":"2026-08-17T13:01:35.480466Z","submitted_at":"2024-11-17T15:00:39Z","title":"Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T19:02:50.920797Z"},"links":{"cited_paper":"/paper/1804.09817","citing_paper":"/paper/2411.11099"},"observation_digest":"sha256:7c13379804d93ac5ca1e71a6082578775c58b1cbf06fe92eb819d3e2f45fb02a","observation_id":"2a0cc246-8bda-41a2-9881-b2d6d38cdd58","resolution":{"observed_at":"2026-08-12T19:02:51.150058Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1804.09817/citation-record","integrity":"/paper/1804.09817/integrity","json":"/paper/1804.09817/citation-record.json","paper":"/paper/1804.09817"},"outbound":[],"paper":{"arxiv_id":"1804.09817","last_updated":"2018-04-25T22:03:27Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T19:21:51.728428Z","submitted_at":"2018-04-25T22:03:27Z","title":"Multiagent Soft Q-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":"2026-08-18T06:34:40.430872+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 1 inbound Pith citation observation for arXiv:1804.09817."}