{"as_of":"2026-08-09T15:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ecdc74b376e4d81d86a08debb6b542122ef7ed51aea79e8e4aff5ffae5bc0767","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:58:00.526204Z","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":"2026-08-07T14:58:01.048623Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.19768","last_updated":"2024-10-13T12:26:51Z","snapshot_observed_at":"2026-08-09T06:59:38.703038Z","submitted_at":"2024-10-13T12:26:51Z","title":"Statistical Test for Auto Feature Engineering by Selective Inference","version":1},"cited_work":{"arxiv_id":"2410.19768","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.19768","snapshot_observed_at":"2026-08-07T14:58:01.048623Z","title":"Statistical Test for Auto Feature Engineering by Selective Inference","venue":"stat.ML","work_id":"eac4475e-303d-415e-b252-f983d4074228","year":2024},"citing_paper":{"arxiv_id":"2505.16893","last_updated":"2025-09-03T07:31:19Z","snapshot_observed_at":"2026-08-09T09:49:18.811887Z","submitted_at":"2025-05-22T16:50:55Z","title":"Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T14:58:00.526204Z"},"links":{"cited_paper":"/paper/2410.19768","citing_paper":"/paper/2505.16893"},"observation_digest":"sha256:240ed639e39fd9e79e41fdc604b67e888405f398f4ef9d450a06148d3574fc10","observation_id":"63dfa5e5-3b8a-47fb-86ca-357194b66248","resolution":{"observed_at":"2026-08-07T14:58:01.087116Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2410.19768/citation-record","integrity":"/paper/2410.19768/integrity","json":"/paper/2410.19768/citation-record.json","paper":"/paper/2410.19768"},"outbound":[],"paper":{"arxiv_id":"2410.19768","last_updated":"2024-10-13T12:26:51Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T06:59:38.703038Z","submitted_at":"2024-10-13T12:26:51Z","title":"Statistical Test for Auto Feature Engineering by Selective Inference"},"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 1 inbound Pith citation observation for arXiv:2410.19768."}