{"as_of":"2026-08-04T20:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a018ff4133ba92f0a223ac699b9d5b3da6dfc8c539343839db93a174593022b9","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":"2026-08-04T06:34:03.388597+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":"2026-06-27T02:18:55.535721Z","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":"2026-07-03T18:48:50.013177Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.03153","last_updated":"2021-04-07T14:33:13Z","snapshot_observed_at":"2026-08-04T01:09:09.555039Z","submitted_at":"2021-04-07T14:33:13Z","title":"Towards Resilience for Multi-Agent $QD$-Learning","version":1},"cited_work":{"arxiv_id":"2104.03153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.03153","snapshot_observed_at":"2026-07-03T18:48:50.013177Z","title":null,"venue":null,"work_id":"06881cc7-541e-4ba9-a152-3f3bf169266f","year":2021},"citing_paper":{"arxiv_id":"2606.20701","last_updated":"2026-06-15T13:52:25Z","snapshot_observed_at":"2026-07-06T23:55:48.334376Z","submitted_at":"2026-06-15T13:52:25Z","title":"BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T02:18:55.535721Z"},"links":{"cited_paper":"/paper/2104.03153","citing_paper":"/paper/2606.20701"},"observation_digest":"sha256:859078dddcd034019a6328587d7a298e78a661527337286afc8d93ec8b3fe96f","observation_id":"361eb1bd-2a18-4980-8adf-f505326d3566","resolution":{"observed_at":"2026-07-03T18:48:50.014541Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2104.03153/citation-record","integrity":"/paper/2104.03153/integrity","json":"/paper/2104.03153/citation-record.json","paper":"/paper/2104.03153"},"outbound":[],"paper":{"arxiv_id":"2104.03153","last_updated":"2021-04-07T14:33:13Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-04T01:09:09.555039Z","submitted_at":"2021-04-07T14:33:13Z","title":"Towards Resilience for Multi-Agent $QD$-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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.03153."}