{"as_of":"2026-08-10T06:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21c81bd02c126d827a8259d6bf8e2f0e20c922be749dde081e8550a360b34e6b","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":"2026-08-07T21:36:33.646549Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":15,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.13112","last_updated":"2022-02-24T10:32:08Z","snapshot_observed_at":"2026-07-06T12:22:17.012426Z","submitted_at":"2021-12-24T17:26:57Z","title":"A Survey on Interpretable Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.13112","snapshot_observed_at":"2026-08-07T21:36:33.646549Z","title":"A survey on interpretable reinforcement learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.09417","last_updated":"2025-02-13T15:40:39Z","snapshot_observed_at":"2026-08-09T01:43:53.124115Z","submitted_at":"2025-02-13T15:40:39Z","title":"A Survey of Reinforcement Learning for Optimization in Automation","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T21:36:33.646549Z"},"links":{"cited_paper":"/paper/2112.13112","citing_paper":"/paper/2502.09417"},"observation_digest":"sha256:ae24723a21dd4e7a8f381947e5c11c0af6c55e9e8a09bc33915d560567d4adff","observation_id":"503dd278-7361-4b56-8667-d90b26627b8f","resolution":{"observed_at":"2026-08-07T21:36:33.646549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.13112","last_updated":"2022-02-24T10:32:08Z","snapshot_observed_at":"2026-07-06T12:22:17.012426Z","submitted_at":"2021-12-24T17:26:57Z","title":"A Survey on Interpretable Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2112.13112","doi":"10.48550/arxiv.2112.13112","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.13112","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2022 , month = feb, journal =","venue":"arXiv (Cornell University)","work_id":"201c11c3-bf56-4e6d-b965-2e14dbfc0584","year":2022},"citing_paper":{"arxiv_id":"2605.12809","last_updated":"2026-05-12T23:01:29Z","snapshot_observed_at":"2026-07-06T23:24:27.821980Z","submitted_at":"2026-05-12T23:01:29Z","title":"Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces","version":1},"reference_index":299,"source":"arxiv_source","source_observed_at":"2026-05-14T20:17:01.224864Z"},"links":{"cited_paper":"/paper/2112.13112","citing_paper":"/paper/2605.12809"},"observation_digest":"sha256:4d56c336de97f681f1c0df7f88ca625649d3b0c107b7df237f57a8dd89883ba5","observation_id":"204169aa-8317-415d-872e-bfcc9f9a188e","resolution":{"observed_at":"2026-05-14T20:17:55.518438Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.13112/citation-record","integrity":"/paper/2112.13112/integrity","json":"/paper/2112.13112/citation-record.json","paper":"/paper/2112.13112"},"outbound":[],"paper":{"arxiv_id":"2112.13112","last_updated":"2022-02-24T10:32:08Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:22:17.012426Z","submitted_at":"2021-12-24T17:26:57Z","title":"A Survey on Interpretable 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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.13112."}