{"as_of":"2026-08-09T18:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:739ad53f40a9fc0f94ee7145c856a56371e1fef9a82a68f0ea7ce23552ec29d5","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T13:58:31.813762Z","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":"2026-08-06T13:58:37.742349Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.00053","last_updated":"2024-09-28T14:49:23Z","snapshot_observed_at":"2026-07-06T19:24:48.032228Z","submitted_at":"2024-09-28T14:49:23Z","title":"Frequency-adaptive Multi-scale Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"2410.00053","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.00053","snapshot_observed_at":"2026-08-06T13:58:37.742349Z","title":"Frequency-adaptive Multi-scale Deep Neural Networks","venue":"cs.LG","work_id":"da83b90a-bf46-48bb-a621-42db4fc8fe52","year":2024},"citing_paper":{"arxiv_id":"2507.19888","last_updated":"2025-07-26T09:36:18Z","snapshot_observed_at":"2026-08-09T06:46:06.385009Z","submitted_at":"2025-07-26T09:36:18Z","title":"Multi-Resolution Training-Enhanced Kolmogorov-Arnold Networks for Multi-Scale PDE Problems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:58:31.813762Z"},"links":{"cited_paper":"/paper/2410.00053","citing_paper":"/paper/2507.19888"},"observation_digest":"sha256:a57b3a7f6df1c752297d0f509d255bc335073b11194912d1f72f9c0898e28c51","observation_id":"29846d85-f3ea-40d2-9bf0-19fe4906ac67","resolution":{"observed_at":"2026-08-06T13:58:37.831718Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.00053/citation-record","integrity":"/paper/2410.00053/integrity","json":"/paper/2410.00053/citation-record.json","paper":"/paper/2410.00053"},"outbound":[],"paper":{"arxiv_id":"2410.00053","last_updated":"2024-09-28T14:49:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:24:48.032228Z","submitted_at":"2024-09-28T14:49:23Z","title":"Frequency-adaptive Multi-scale Deep Neural Networks"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.00053."}