{"as_of":"2026-08-14T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17f283d0c9c16f05576d1a88dad1bb94bfd9d27d7f2934de5aed36c0fd01a744","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T15:38:34.599254Z","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":"2026-08-12T15:38:35.130467Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.01297","last_updated":"2024-05-29T19:23:41Z","snapshot_observed_at":"2026-08-13T04:28:31.406097Z","submitted_at":"2024-02-02T10:36:53Z","title":"Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum","version":3},"cited_work":{"arxiv_id":"2402.01297","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.01297","snapshot_observed_at":"2026-08-12T15:38:35.130467Z","title":"Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum","venue":"cs.LG","work_id":"174b0089-897a-498c-899a-be365a1f9382","year":2024},"citing_paper":{"arxiv_id":"2411.14079","last_updated":"2024-11-21T12:43:49Z","snapshot_observed_at":"2026-08-13T16:52:05.494762Z","submitted_at":"2024-11-21T12:43:49Z","title":"Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T15:38:34.599254Z"},"links":{"cited_paper":"/paper/2402.01297","citing_paper":"/paper/2411.14079"},"observation_digest":"sha256:84dd479be883a18f429e7e71fcb392ba938c29c076df387b0d5c90b49d67a44f","observation_id":"f8b69849-423b-4c9d-ac62-a2cb9a5c9460","resolution":{"observed_at":"2026-08-12T15:38:35.136353Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.01297/citation-record","integrity":"/paper/2402.01297/integrity","json":"/paper/2402.01297/citation-record.json","paper":"/paper/2402.01297"},"outbound":[],"paper":{"arxiv_id":"2402.01297","last_updated":"2024-05-29T19:23:41Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T04:28:31.406097Z","submitted_at":"2024-02-02T10:36:53Z","title":"Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.01297."}