{"as_of":"2026-08-16T06:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92fe1d78dfea7d2c35a14cf8069403b58df1c526b3e66e5e8518990fdc081e6a","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":"2026-08-16T06:30:59.297886+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":"2026-08-05T14:49:53.309265Z","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":"2026-08-05T14:49:53.980595Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.23626","last_updated":"2025-03-30T23:29:48Z","snapshot_observed_at":"2026-08-16T06:15:56.341330Z","submitted_at":"2025-03-30T23:29:48Z","title":"A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control","version":1},"cited_work":{"arxiv_id":"2503.23626","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.23626","snapshot_observed_at":"2026-08-05T14:49:53.980595Z","title":"A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control","venue":"cs.MA","work_id":"7d8b7331-d2f3-44a7-89c1-d02431dc300f","year":2025},"citing_paper":{"arxiv_id":"2508.20818","last_updated":"2025-08-28T14:16:17Z","snapshot_observed_at":"2026-08-14T05:49:36.890256Z","submitted_at":"2025-08-28T14:16:17Z","title":"cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T14:49:53.309265Z"},"links":{"cited_paper":"/paper/2503.23626","citing_paper":"/paper/2508.20818"},"observation_digest":"sha256:16b4dff950bf4463569588ac75742a2770935ca11faa37619fdc8d87ed131828","observation_id":"bbc954b2-fbe0-449b-9b59-5a4f01043f38","resolution":{"observed_at":"2026-08-05T14:49:53.987688Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.23626/citation-record","integrity":"/paper/2503.23626/integrity","json":"/paper/2503.23626/citation-record.json","paper":"/paper/2503.23626"},"outbound":[],"paper":{"arxiv_id":"2503.23626","last_updated":"2025-03-30T23:29:48Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-16T06:15:56.341330Z","submitted_at":"2025-03-30T23:29:48Z","title":"A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.23626."}