{"as_of":"2026-08-09T19:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac8954485681564052826fbad7dbab1e454f5b84ce00cf047e0e185509a12667","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":"2026-08-06T14:53:03.714624Z","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":"2026-08-06T14:53:04.055602Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.01242","last_updated":"2023-12-19T08:52:02Z","snapshot_observed_at":"2026-08-06T07:27:36.422087Z","submitted_at":"2023-02-02T17:24:43Z","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","version":2},"cited_work":{"arxiv_id":"2302.01242","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.01242","snapshot_observed_at":"2026-08-06T14:53:04.055602Z","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","venue":"cs.LG","work_id":"3ccc39cf-8ee7-4cb4-858d-1c6c93ee1dbf","year":2023},"citing_paper":{"arxiv_id":"2507.17482","last_updated":"2025-07-23T13:04:13Z","snapshot_observed_at":"2026-08-06T14:44:36.372917Z","submitted_at":"2025-07-23T13:04:13Z","title":"LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T14:53:03.714624Z"},"links":{"cited_paper":"/paper/2302.01242","citing_paper":"/paper/2507.17482"},"observation_digest":"sha256:3802e1a0fe13059fc8d39122f783d6a1ce0e72bebeaae9602ddb56c1f71c7171","observation_id":"0375e629-1cc4-40a2-b969-a69afa31c685","resolution":{"observed_at":"2026-08-06T14:53:04.059523Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01242","last_updated":"2023-12-19T08:52:02Z","snapshot_observed_at":"2026-08-06T07:27:36.422087Z","submitted_at":"2023-02-02T17:24:43Z","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.01242","snapshot_observed_at":"2026-08-04T08:13:18.396304Z","title":"Neuro-symbolic continual learning: Knowledge, reasoning shortcuts and concept rehearsal,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.22204","last_updated":"2026-07-17T02:13:37Z","snapshot_observed_at":"2026-08-08T03:37:38.465873Z","submitted_at":"2025-10-25T08:08:04Z","title":"Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T08:13:18.396304Z"},"links":{"cited_paper":"/paper/2302.01242","citing_paper":"/paper/2510.22204"},"observation_digest":"sha256:9c4124962c342787441eb7e71699e3d7c2a9154f8bf45ea506d40d86a8a2016e","observation_id":"678e08c9-750e-48c8-bb99-e23b464c8ead","resolution":{"observed_at":"2026-08-04T08:13:18.396304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.01242/citation-record","integrity":"/paper/2302.01242/integrity","json":"/paper/2302.01242/citation-record.json","paper":"/paper/2302.01242"},"outbound":[],"paper":{"arxiv_id":"2302.01242","last_updated":"2023-12-19T08:52:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T07:27:36.422087Z","submitted_at":"2023-02-02T17:24:43Z","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal"},"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:2302.01242."}