{"as_of":"2026-08-16T16:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:955633aa7340b86bcb4b3972b28a38b357217920c813778ea531a5a0aeb78031","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":"2026-08-16T06:30:59.297886+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":"2026-08-08T15:06:47.605695Z","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":"2026-08-08T15:06:47.782344Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.03089","last_updated":"2025-02-23T04:34:32Z","snapshot_observed_at":"2026-08-16T13:49:18.398281Z","submitted_at":"2024-07-03T13:26:31Z","title":"Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning","version":5},"cited_work":{"arxiv_id":"2407.03089","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.03089","snapshot_observed_at":"2026-08-08T15:06:47.782344Z","title":"Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning","venue":"eess.SP","work_id":"dfca1f09-faa2-4c33-9180-a4fc6882904a","year":2024},"citing_paper":{"arxiv_id":"2502.06552","last_updated":"2025-02-10T15:20:07Z","snapshot_observed_at":"2026-08-16T08:02:47.857089Z","submitted_at":"2025-02-10T15:20:07Z","title":"Diffusion Models for Computational Neuroimaging: A Survey","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-08T15:06:47.605695Z"},"links":{"cited_paper":"/paper/2407.03089","citing_paper":"/paper/2502.06552"},"observation_digest":"sha256:19dfa92bcb44d5bbf4f5354e5ac8f37304497c3c7076791e4822f8e933f83ed8","observation_id":"d8325bc7-ede2-43a4-a109-09143a1be1d4","resolution":{"observed_at":"2026-08-08T15:06:47.786977Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.03089/citation-record","integrity":"/paper/2407.03089/integrity","json":"/paper/2407.03089/citation-record.json","paper":"/paper/2407.03089"},"outbound":[],"paper":{"arxiv_id":"2407.03089","last_updated":"2025-02-23T04:34:32Z","latest_version":5,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-16T13:49:18.398281Z","submitted_at":"2024-07-03T13:26:31Z","title":"Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.03089."}