{"as_of":"2026-08-10T10:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51c755e283df0fdf3095f1013a1679ccb922eba1111fe5a195d54892eaa0a813","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T18:09:29.472194Z","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":"2026-08-05T21:41:25.971615Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.10386","last_updated":"2020-03-23T16:56:11Z","snapshot_observed_at":"2026-08-10T06:45:32.000190Z","submitted_at":"2020-03-23T16:56:11Z","title":"Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.10386","snapshot_observed_at":"2026-08-09T18:09:29.472194Z","title":"In- corporating relational background knowledge into rein- forcement learning via differentiable inductive logic pro- gramming","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00684","last_updated":"2026-06-30T15:42:38Z","snapshot_observed_at":"2026-08-09T18:04:24.094921Z","submitted_at":"2025-02-02T06:05:49Z","title":"Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T18:09:29.472194Z"},"links":{"cited_paper":"/paper/2003.10386","citing_paper":"/paper/2502.00684"},"observation_digest":"sha256:6e1adde57634cda37e3769c21c70850a03c784239842d78ca5d5ffc3551a2ce0","observation_id":"64888dc2-8f8d-4525-8c0b-430ed983e364","resolution":{"observed_at":"2026-08-09T18:09:29.472194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10386","last_updated":"2020-03-23T16:56:11Z","snapshot_observed_at":"2026-08-10T06:45:32.000190Z","submitted_at":"2020-03-23T16:56:11Z","title":"Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.10386","snapshot_observed_at":"2026-08-06T16:47:07.301463Z","title":"Incorporating rela- tional background knowledge into reinforcement learn- ing via differentiable inductive logic programming","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.12599","last_updated":"2025-07-16T19:41:41Z","snapshot_observed_at":"2026-08-09T17:38:39.904921Z","submitted_at":"2025-07-16T19:41:41Z","title":"A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs","version":1},"reference_index":274,"source":"pdf_text","source_observed_at":"2026-08-06T16:47:07.301463Z"},"links":{"cited_paper":"/paper/2003.10386","citing_paper":"/paper/2507.12599"},"observation_digest":"sha256:03e1f4267b5969abe3050094fc6eadcc5f5804aed91c0c399763cea8a0c30e72","observation_id":"aaa41854-1cfc-4a6c-af5c-ea7c5748403b","resolution":{"observed_at":"2026-08-06T16:47:07.301463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10386","last_updated":"2020-03-23T16:56:11Z","snapshot_observed_at":"2026-08-10T06:45:32.000190Z","submitted_at":"2020-03-23T16:56:11Z","title":"Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming","version":1},"cited_work":{"arxiv_id":"2003.10386","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.10386","snapshot_observed_at":"2026-08-05T21:41:25.971615Z","title":"Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming","venue":"cs.LG","work_id":"aa456482-8dfc-41b2-89a9-c25bf0ba8ba9","year":2020},"citing_paper":{"arxiv_id":"2508.08172","last_updated":"2026-06-26T16:15:54Z","snapshot_observed_at":"2026-08-05T21:41:16.362822Z","submitted_at":"2025-08-11T16:49:56Z","title":"Neural Logic Networks for Interpretable Classification","version":6},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T21:41:25.217038Z"},"links":{"cited_paper":"/paper/2003.10386","citing_paper":"/paper/2508.08172"},"observation_digest":"sha256:8f9eec807b0bea57f2ccf544aae7233fe96f26c7284e7073f42971814bba8cca","observation_id":"2c4b4473-1c3a-42d9-8f58-7b6444961efc","resolution":{"observed_at":"2026-08-05T21:41:26.209413Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2003.10386/citation-record","integrity":"/paper/2003.10386/integrity","json":"/paper/2003.10386/citation-record.json","paper":"/paper/2003.10386"},"outbound":[],"paper":{"arxiv_id":"2003.10386","last_updated":"2020-03-23T16:56:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T06:45:32.000190Z","submitted_at":"2020-03-23T16:56:11Z","title":"Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.10386."}