{"as_of":"2026-08-09T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5ee8276038ad69c0a1aa6fe596605eab53f713a7afe5f65689f7c56395bde946","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:20:56.823221Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":12,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.12478","last_updated":"2020-06-22T17:55:03Z","snapshot_observed_at":"2026-08-05T15:38:57.261680Z","submitted_at":"2020-06-22T17:55:03Z","title":"Ecological Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2006.12478","doi":"10.48550/arxiv.2006.12478","metadata_source":"pith","pith_arxiv_id":"2006.12478","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Ecological Reinforcement Learning","venue":"cs.LG","work_id":"62fbb043-027c-4085-ac39-c1ee46b5db56","year":2020},"citing_paper":{"arxiv_id":"2607.07460","last_updated":"2026-07-08T14:28:10Z","snapshot_observed_at":"2026-08-01T15:04:23.117146Z","submitted_at":"2026-07-08T14:28:10Z","title":"Social-spatial dependencies for learning visual navigation","version":1},"reference_index":208,"source":"arxiv_source","source_observed_at":"2026-07-09T10:23:00.725686Z"},"links":{"cited_paper":"/paper/2006.12478","citing_paper":"/paper/2607.07460"},"observation_digest":"sha256:2d313439e55f24a0442a9993784568156b10c80e74c8d4677e03ca48fd73cb27","observation_id":"b6f6f02d-fc5e-45db-ba3f-2cb5a7812a92","resolution":{"observed_at":"2026-07-09T10:26:10.824186Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-09T11:19:42.518079+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T11:19:42.518079+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.12478","last_updated":"2020-06-22T17:55:03Z","snapshot_observed_at":"2026-08-05T15:38:57.261680Z","submitted_at":"2020-06-22T17:55:03Z","title":"Ecological Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.12478","snapshot_observed_at":"2026-08-01T15:20:56.823221Z","title":"Co-Reyes and Suvansh Sanjeev and Glen Berseth and Abhishek Gupta and Sergey Levine , title =","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.18488","last_updated":"2026-07-20T20:18:29Z","snapshot_observed_at":"2026-08-03T00:09:15.656987Z","submitted_at":"2026-07-20T20:18:29Z","title":"The Open Ant: A Robot Platform for Reinforcement Learning Research","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-01T15:20:56.823221Z"},"links":{"cited_paper":"/paper/2006.12478","citing_paper":"/paper/2607.18488"},"observation_digest":"sha256:303551274cb5c22ef8e20ef2d1006f47934ee2866c44fef2f944129bb754059a","observation_id":"719f8f1a-74f8-4594-93f8-425c1a7bff99","resolution":{"observed_at":"2026-08-01T15:20:56.823221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2006.12478/citation-record","integrity":"/paper/2006.12478/integrity","json":"/paper/2006.12478/citation-record.json","paper":"/paper/2006.12478"},"outbound":[],"paper":{"arxiv_id":"2006.12478","last_updated":"2020-06-22T17:55:03Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T15:38:57.261680Z","submitted_at":"2020-06-22T17:55:03Z","title":"Ecological Reinforcement 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":"2026-08-09T06:31:02.800959+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 2 inbound Pith citation observations for arXiv:2006.12478."}