{"as_of":"2026-08-08T06:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:490ad2e444225aa86f6c0f538afde50c9be2ba3a06577f1d008bf3f97576f306","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T21:08:17.866984Z","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":"2026-08-05T21:08:18.218031Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.09983","last_updated":"2023-12-04T03:02:06Z","snapshot_observed_at":"2026-07-06T14:20:06.936367Z","submitted_at":"2022-11-18T02:04:16Z","title":"Universal Approximation Property of Fully Convolutional Neural Networks with Zero Padding","version":3},"cited_work":{"arxiv_id":"2211.09983","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.09983","snapshot_observed_at":"2026-08-05T21:08:18.218031Z","title":"Universal Approximation Property of Fully Convolutional Neural Networks with Zero Padding","venue":"cs.NE","work_id":"d40bd237-7995-471f-9447-aeb0b801ead5","year":2022},"citing_paper":{"arxiv_id":"2508.09456","last_updated":"2026-03-22T02:44:18Z","snapshot_observed_at":"2026-08-05T21:08:15.205232Z","submitted_at":"2025-08-13T03:22:19Z","title":"IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding","version":5},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T21:08:17.866984Z"},"links":{"cited_paper":"/paper/2211.09983","citing_paper":"/paper/2508.09456"},"observation_digest":"sha256:df361fd69c0f8f0d9d3f1e02ebc29aab247488b99ee6fba333449d7a314a1016","observation_id":"cd01f08f-b027-47fc-9fae-2ece916c8f76","resolution":{"observed_at":"2026-08-05T21:08:18.221869Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.09983/citation-record","integrity":"/paper/2211.09983/integrity","json":"/paper/2211.09983/citation-record.json","paper":"/paper/2211.09983"},"outbound":[],"paper":{"arxiv_id":"2211.09983","last_updated":"2023-12-04T03:02:06Z","latest_version":3,"primary_category":"cs.NE","snapshot_observed_at":"2026-07-06T14:20:06.936367Z","submitted_at":"2022-11-18T02:04:16Z","title":"Universal Approximation Property of Fully Convolutional Neural Networks with Zero Padding"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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:2211.09983."}