{"as_of":"2026-08-09T08:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0810d6f7ae53411fd7827c387fe1d23d336ef717839f07b931994e1db2851d36","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":"2026-08-09T06:31:02.800959+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":"2026-08-04T08:23:17.086576Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.06626","last_updated":"2020-08-15T02:20:23Z","snapshot_observed_at":"2026-07-06T09:47:22.472576Z","submitted_at":"2020-08-15T02:20:23Z","title":"Safe Reinforcement Learning in Constrained Markov Decision Processes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.06626","snapshot_observed_at":"2026-08-04T08:23:17.086576Z","title":"Safe Reinforcement Learning in Con- strained Markov Decision Processes, August 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.20955","last_updated":"2026-05-22T22:50:20Z","snapshot_observed_at":"2026-08-08T22:56:39.434531Z","submitted_at":"2025-10-23T19:31:18Z","title":"Approximating Safety Feedback Without a Safety Oracle via Model Predictive Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T08:23:17.086576Z"},"links":{"cited_paper":"/paper/2008.06626","citing_paper":"/paper/2510.20955"},"observation_digest":"sha256:6b069d60399aaadc6fbdb32502f2bed5fae530aa151eca55f57d74ddfe347491","observation_id":"fdc35601-a69a-49eb-8b83-ff7e9319b0f3","resolution":{"observed_at":"2026-08-04T08:23:17.086576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2008.06626/citation-record","integrity":"/paper/2008.06626/integrity","json":"/paper/2008.06626/citation-record.json","paper":"/paper/2008.06626"},"outbound":[],"paper":{"arxiv_id":"2008.06626","last_updated":"2020-08-15T02:20:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T09:47:22.472576Z","submitted_at":"2020-08-15T02:20:23Z","title":"Safe Reinforcement Learning in Constrained Markov Decision Processes"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2008.06626."}