{"as_of":"2026-08-08T17:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f91d74389414904aa62a1e8fcfe519c0fc1d3c5af71fb678a6f0c362b59c5788","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T20:15:07.271002Z","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":"2026-08-06T20:15:07.402958Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.11481","last_updated":"2022-12-28T05:55:01Z","snapshot_observed_at":"2026-07-06T14:33:51.766599Z","submitted_at":"2022-12-22T04:41:45Z","title":"A Mathematical Framework for Learning Probability Distributions","version":2},"cited_work":{"arxiv_id":"2212.11481","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.11481","snapshot_observed_at":"2026-08-06T20:15:07.402958Z","title":"A Mathematical Framework for Learning Probability Distributions","venue":"stat.ML","work_id":"60e583a4-d940-408d-b740-a7273b4e0d7c","year":2022},"citing_paper":{"arxiv_id":"2507.03756","last_updated":"2025-07-04T18:07:06Z","snapshot_observed_at":"2026-08-07T11:54:57.683997Z","submitted_at":"2025-07-04T18:07:06Z","title":"Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T20:15:07.271002Z"},"links":{"cited_paper":"/paper/2212.11481","citing_paper":"/paper/2507.03756"},"observation_digest":"sha256:c9ab1734c1350f5b43d825be91e266fde8ada5cd5386710b5f3353f4555e88bc","observation_id":"9ab812f8-8e69-4fbb-bda5-341deb9cc00c","resolution":{"observed_at":"2026-08-06T20:15:07.462222Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.11481/citation-record","integrity":"/paper/2212.11481/integrity","json":"/paper/2212.11481/citation-record.json","paper":"/paper/2212.11481"},"outbound":[],"paper":{"arxiv_id":"2212.11481","last_updated":"2022-12-28T05:55:01Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T14:33:51.766599Z","submitted_at":"2022-12-22T04:41:45Z","title":"A Mathematical Framework for Learning Probability Distributions"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.11481."}