{"as_of":"2026-08-08T17:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:028e394c39c26ec0f0216a4eaabd7e92d2bbae28d277d625908964916d885de0","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":"2026-08-07T11:52:19.352535Z","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":"2026-08-07T11:52:20.572400Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.21166","last_updated":"2025-03-27T05:36:12Z","snapshot_observed_at":"2026-08-07T16:33:48.564342Z","submitted_at":"2025-03-27T05:36:12Z","title":"Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations","version":1},"cited_work":{"arxiv_id":"2503.21166","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.21166","snapshot_observed_at":"2026-08-07T11:52:20.572400Z","title":"Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations","venue":"cs.LG","work_id":"10242212-0c7f-4dc7-bb1c-585b6f876476","year":2025},"citing_paper":{"arxiv_id":"2506.01234","last_updated":"2025-06-11T11:15:01Z","snapshot_observed_at":"2026-08-07T11:44:24.117983Z","submitted_at":"2025-06-02T01:16:36Z","title":"Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:52:19.352535Z"},"links":{"cited_paper":"/paper/2503.21166","citing_paper":"/paper/2506.01234"},"observation_digest":"sha256:2e87fcf2a6cb8ef145ec5b9d081032ded1336fe2ce4d851ca6fbc1d5ec270f03","observation_id":"6fce5ad9-6d41-4543-9495-2f52e51296f7","resolution":{"observed_at":"2026-08-07T11:52:20.607424Z","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/2503.21166/citation-record","integrity":"/paper/2503.21166/integrity","json":"/paper/2503.21166/citation-record.json","paper":"/paper/2503.21166"},"outbound":[],"paper":{"arxiv_id":"2503.21166","last_updated":"2025-03-27T05:36:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:33:48.564342Z","submitted_at":"2025-03-27T05:36:12Z","title":"Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations"},"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:2503.21166."}