{"as_of":"2026-08-17T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee8c04cb6b9e18f87aa813c8cc63dfa9fe6dba4ba37dfddc6a93fff8277c8419","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":"2026-08-15T20:56:01.469054Z","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":"2026-08-16T12:16:17.039197Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.14108","last_updated":"2022-10-18T18:48:56Z","snapshot_observed_at":"2026-08-16T16:57:07.666756Z","submitted_at":"2022-05-27T17:19:05Z","title":"Scalable Interpretability via Polynomials","version":4},"cited_work":{"arxiv_id":"2205.14108","doi":"10.48550/arxiv.2205.14108","metadata_source":"pith","pith_arxiv_id":"2205.14108","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"Scalable Interpretability via Polynomials","venue":"cs.LG","work_id":"f4f43319-7948-41f3-a200-99c9f3e69d21","year":2022},"citing_paper":{"arxiv_id":"2505.11589","last_updated":"2025-05-16T18:00:02Z","snapshot_observed_at":"2026-08-15T20:49:21.280173Z","submitted_at":"2025-05-16T18:00:02Z","title":"A Training Framework for Optimal and Stable Training of Polynomial Neural Networks","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:56:01.469054Z"},"links":{"cited_paper":"/paper/2205.14108","citing_paper":"/paper/2505.11589"},"observation_digest":"sha256:17e99fba869d69fac303fe12217af92bcc3f28843c882dfb496cac48995986b6","observation_id":"1220f43c-6dfe-4a1d-8a4f-2244adeac1e0","resolution":{"observed_at":"2026-08-15T20:56:01.671588Z","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/2205.14108/citation-record","integrity":"/paper/2205.14108/integrity","json":"/paper/2205.14108/citation-record.json","paper":"/paper/2205.14108"},"outbound":[],"paper":{"arxiv_id":"2205.14108","last_updated":"2022-10-18T18:48:56Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:57:07.666756Z","submitted_at":"2022-05-27T17:19:05Z","title":"Scalable Interpretability via Polynomials"},"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:2205.14108."}