{"as_of":"2026-08-09T21:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3c499882b751dd38d21b0b67e6efe1e9081dbe077946544fd4cbc4e3bd216922","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":"2026-08-05T13:24:33.744941Z","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":"2026-08-05T13:24:33.771556Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.10246","last_updated":"2024-02-02T21:48:18Z","snapshot_observed_at":"2026-07-06T16:48:52.656551Z","submitted_at":"2023-11-17T00:35:38Z","title":"Surprisal Driven $k$-NN for Robust and Interpretable Nonparametric Learning","version":2},"cited_work":{"arxiv_id":"2311.10246","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.10246","snapshot_observed_at":"2026-08-05T13:24:33.771556Z","title":"Surprisal Driven $k$-NN for Robust and Interpretable Nonparametric Learning","venue":"cs.LG","work_id":"779c80f5-b053-4c87-a69f-d55ea88e6680","year":2023},"citing_paper":{"arxiv_id":"2509.00684","last_updated":"2025-08-31T03:55:29Z","snapshot_observed_at":"2026-08-08T02:46:03.418573Z","submitted_at":"2025-08-31T03:55:29Z","title":"Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T13:24:33.744941Z"},"links":{"cited_paper":"/paper/2311.10246","citing_paper":"/paper/2509.00684"},"observation_digest":"sha256:ee89f063f0b9d8bee5b48a2b57ab7162caff8018e42744005f7b89d55d44ad16","observation_id":"7aebd4c7-ab4e-4667-b69f-2889e419563f","resolution":{"observed_at":"2026-08-05T13:24:33.776330Z","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/2311.10246/citation-record","integrity":"/paper/2311.10246/integrity","json":"/paper/2311.10246/citation-record.json","paper":"/paper/2311.10246"},"outbound":[],"paper":{"arxiv_id":"2311.10246","last_updated":"2024-02-02T21:48:18Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:48:52.656551Z","submitted_at":"2023-11-17T00:35:38Z","title":"Surprisal Driven $k$-NN for Robust and Interpretable Nonparametric 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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.10246."}