{"as_of":"2026-08-20T10:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d043d09124bcd43c8d71977a20dfd5941da6c2ea7b689787f37237a9d238a5d","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:07:54.735689Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T01:57:06.070959Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.03380","last_updated":"2023-08-28T05:47:12Z","snapshot_observed_at":"2026-08-16T15:18:04.338680Z","submitted_at":"2023-07-07T04:20:36Z","title":"On Formal Feature Attribution and Its Approximation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03380","snapshot_observed_at":"2026-08-11T05:00:12.667752Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18262","last_updated":"2024-12-24T08:24:10Z","snapshot_observed_at":"2026-08-19T19:42:39.707534Z","submitted_at":"2024-12-24T08:24:10Z","title":"Efficient Contrastive Explanations on Demand","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T05:00:12.667752Z"},"links":{"cited_paper":"/paper/2307.03380","citing_paper":"/paper/2412.18262"},"observation_digest":"sha256:6c6127e1c3fb2502437fb47c27a276c1834c40082caf8f61f977d755830e4285","observation_id":"d675249b-88b8-4a10-b68e-95dd44aa5df1","resolution":{"observed_at":"2026-08-11T05:00:12.667752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03380","last_updated":"2023-08-28T05:47:12Z","snapshot_observed_at":"2026-08-16T15:18:04.338680Z","submitted_at":"2023-07-07T04:20:36Z","title":"On Formal Feature Attribution and Its Approximation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03380","snapshot_observed_at":"2026-08-09T11:32:26.906117Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02719","last_updated":"2025-06-25T09:52:40Z","snapshot_observed_at":"2026-08-15T00:01:57.413528Z","submitted_at":"2025-02-04T21:08:23Z","title":"Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective","version":2},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-09T11:32:26.906117Z"},"links":{"cited_paper":"/paper/2307.03380","citing_paper":"/paper/2502.02719"},"observation_digest":"sha256:79c340073aedc27d84737a7cd566597d56326a208e7295bb7a9befcf5df941fa","observation_id":"8abc4f26-9b18-421b-bb07-2310f9a69fbf","resolution":{"observed_at":"2026-08-09T11:32:26.906117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03380","last_updated":"2023-08-28T05:47:12Z","snapshot_observed_at":"2026-08-16T15:18:04.338680Z","submitted_at":"2023-07-07T04:20:36Z","title":"On Formal Feature Attribution and Its Approximation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03380","snapshot_observed_at":"2026-08-15T21:07:54.735689Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.10991","last_updated":"2025-05-20T02:10:09Z","snapshot_observed_at":"2026-08-19T19:43:03.936671Z","submitted_at":"2025-05-16T08:42:01Z","title":"Most General Explanations of Tree Ensembles (Extended Version)","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T21:07:54.735689Z"},"links":{"cited_paper":"/paper/2307.03380","citing_paper":"/paper/2505.10991"},"observation_digest":"sha256:c873ed736ad20e9fd465f58af554792cc128075e848ba9985db369b2f78c3217","observation_id":"b417fe91-e7e1-45ba-a05c-f5b4c5c0fb27","resolution":{"observed_at":"2026-08-15T21:07:54.735689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03380","last_updated":"2023-08-28T05:47:12Z","snapshot_observed_at":"2026-08-16T15:18:04.338680Z","submitted_at":"2023-07-07T04:20:36Z","title":"On Formal Feature Attribution and Its Approximation","version":3},"cited_work":{"arxiv_id":"2307.03380","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.03380","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"accept” s.t. κ is the DFA applied to w. Similarly CXpu l (S, w) is a CXp iff S is a CXp of the classification problem κ(w) =“accept","venue":null,"work_id":"ffb46fbb-787e-4038-88c2-fe5477900ade","year":2023},"citing_paper":{"arxiv_id":"2602.13351","last_updated":"2026-02-17T03:19:21Z","snapshot_observed_at":"2026-07-06T22:45:49.118915Z","submitted_at":"2026-02-12T23:58:56Z","title":"A Formal Framework for the Explanation of Finite Automata Decisions","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T01:55:53.584473Z"},"links":{"cited_paper":"/paper/2307.03380","citing_paper":"/paper/2602.13351"},"observation_digest":"sha256:3e9df0e3c0847a936c008eb4941d02c4a679b0e05bada231514b8d6035aed3d3","observation_id":"a12999dc-800f-4b8a-9160-beae2ab28fc6","resolution":{"observed_at":"2026-05-16T01:57:06.075831Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.03380/citation-record","integrity":"/paper/2307.03380/integrity","json":"/paper/2307.03380/citation-record.json","paper":"/paper/2307.03380"},"outbound":[],"paper":{"arxiv_id":"2307.03380","last_updated":"2023-08-28T05:47:12Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T15:18:04.338680Z","submitted_at":"2023-07-07T04:20:36Z","title":"On Formal Feature Attribution and Its Approximation"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.03380."}