{"as_of":"2026-08-17T23:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65b8537597e5b2e8952daa7136b1b8a5b3a3867a285e179b9ab757318c116127","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T21:40:36.238810Z","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":"2026-08-15T21:40:36.278792Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.06430","last_updated":"2022-05-09T15:23:14Z","snapshot_observed_at":"2026-08-16T17:15:06.827562Z","submitted_at":"2022-03-12T13:03:30Z","title":"Categories of Differentiable Polynomial Circuits for Machine Learning","version":2},"cited_work":{"arxiv_id":"2203.06430","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.06430","snapshot_observed_at":"2026-08-15T21:40:36.278792Z","title":"Categories of Differentiable Polynomial Circuits for Machine Learning","venue":"cs.LG","work_id":"359cb78e-ac3b-46a7-a2f1-b347a8f05c6f","year":2022},"citing_paper":{"arxiv_id":"2505.09326","last_updated":"2025-05-14T12:24:22Z","snapshot_observed_at":"2026-08-17T15:04:23.558997Z","submitted_at":"2025-05-14T12:24:22Z","title":"Accelerating Machine Learning Systems via Category Theory: Applications to Spherical Attention for Gene Regulatory Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:40:36.238810Z"},"links":{"cited_paper":"/paper/2203.06430","citing_paper":"/paper/2505.09326"},"observation_digest":"sha256:b4fc58b6a82dc7f7a1d3911ee53452fff2fca08ddb8341ffdae6b0a726067cf0","observation_id":"aaaaa918-9f4b-4290-9b17-7991f53bc92d","resolution":{"observed_at":"2026-08-15T21:40:36.285543Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.06430/citation-record","integrity":"/paper/2203.06430/integrity","json":"/paper/2203.06430/citation-record.json","paper":"/paper/2203.06430"},"outbound":[],"paper":{"arxiv_id":"2203.06430","last_updated":"2022-05-09T15:23:14Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:15:06.827562Z","submitted_at":"2022-03-12T13:03:30Z","title":"Categories of Differentiable Polynomial Circuits for Machine 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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2203.06430."}