{"as_of":"2026-08-08T05:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:148f31f7431a5499e2b4c1ca18fb40a65d4ce6a6d8412db5ebb80731fd05c46e","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:25:12.375466Z","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":"2026-08-07T15:25:13.101089Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.10929","last_updated":"2025-04-15T07:14:35Z","snapshot_observed_at":"2026-08-07T16:05:39.820199Z","submitted_at":"2025-04-15T07:14:35Z","title":"Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters","version":1},"cited_work":{"arxiv_id":"2504.10929","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10929","snapshot_observed_at":"2026-08-07T15:25:13.101089Z","title":"Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters","venue":"cs.CV","work_id":"804f4193-1690-4533-b07f-688c693e88fc","year":2025},"citing_paper":{"arxiv_id":"2505.15222","last_updated":"2025-05-22T08:42:43Z","snapshot_observed_at":"2026-08-07T15:19:40.281628Z","submitted_at":"2025-05-21T07:50:19Z","title":"Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T15:25:12.375466Z"},"links":{"cited_paper":"/paper/2504.10929","citing_paper":"/paper/2505.15222"},"observation_digest":"sha256:c268264ba5f13cea51fd10789c9cc422a095431a34618dd7efedb16d2c26db8d","observation_id":"b9f30436-a144-4716-bd1a-914da589eb09","resolution":{"observed_at":"2026-08-07T15:25:13.182346Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10929","last_updated":"2025-04-15T07:14:35Z","snapshot_observed_at":"2026-08-07T16:05:39.820199Z","submitted_at":"2025-04-15T07:14:35Z","title":"Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10929","snapshot_observed_at":"2026-08-04T16:20:13.190068Z","title":"Cross-frequency implicit neural representation with self- evolving parameters, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.15494","last_updated":"2026-06-08T07:42:50Z","snapshot_observed_at":"2026-08-07T13:08:07.441725Z","submitted_at":"2025-09-19T00:15:39Z","title":"Multi-resolution Enhancement for Full Spectrum Neural Representations","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T16:20:13.190068Z"},"links":{"cited_paper":"/paper/2504.10929","citing_paper":"/paper/2509.15494"},"observation_digest":"sha256:8aeb54fe2759042fa07638c64d6c48ec420085878e5c3ac94d8576cb7af7a648","observation_id":"7f13df7b-7e75-4e97-8d9a-375dceb57740","resolution":{"observed_at":"2026-08-04T16:20:13.190068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.10929/citation-record","integrity":"/paper/2504.10929/integrity","json":"/paper/2504.10929/citation-record.json","paper":"/paper/2504.10929"},"outbound":[],"paper":{"arxiv_id":"2504.10929","last_updated":"2025-04-15T07:14:35Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:05:39.820199Z","submitted_at":"2025-04-15T07:14:35Z","title":"Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters"},"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 2 inbound Pith citation observations for arXiv:2504.10929."}