{"as_of":"2026-08-12T04:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:573e3e8c5d961a66838ffbc9966a6f2381c1352f30a0ca93c96d63d7327cc566","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":"2026-08-11T06:34:44.6726+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":"2026-08-06T15:32:56.519840Z","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":"2026-08-06T15:32:56.754945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.06670","last_updated":"2025-04-09T08:13:14Z","snapshot_observed_at":"2026-08-09T10:14:23.531684Z","submitted_at":"2025-04-09T08:13:14Z","title":"Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making","version":1},"cited_work":{"arxiv_id":"2504.06670","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.06670","snapshot_observed_at":"2026-08-06T15:32:56.754945Z","title":"Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making","venue":"cs.RO","work_id":"c81ee390-fc92-4107-993f-2f9cc19068cc","year":2025},"citing_paper":{"arxiv_id":"2507.15587","last_updated":"2025-07-21T13:08:49Z","snapshot_observed_at":"2026-08-09T21:19:00.015800Z","submitted_at":"2025-07-21T13:08:49Z","title":"Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:32:56.519840Z"},"links":{"cited_paper":"/paper/2504.06670","citing_paper":"/paper/2507.15587"},"observation_digest":"sha256:a9bb87d76b8a8137b0349913f240d86a989eccf332e0210736c5f36835f77b66","observation_id":"94735276-2f5f-4e07-844d-9617012722da","resolution":{"observed_at":"2026-08-06T15:32:56.759604Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.06670/citation-record","integrity":"/paper/2504.06670/integrity","json":"/paper/2504.06670/citation-record.json","paper":"/paper/2504.06670"},"outbound":[],"paper":{"arxiv_id":"2504.06670","last_updated":"2025-04-09T08:13:14Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T10:14:23.531684Z","submitted_at":"2025-04-09T08:13:14Z","title":"Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2504.06670."}