{"as_of":"2026-08-05T10:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7311faf64bcbbf8e93243584bfe6d7abbb54121c4eb863dced887fa2d757dec","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":"2026-08-05T06:32:48.257954+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":"2026-06-30T01:09:27.569795Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T15:45:48.466886Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.08034","last_updated":"2022-03-15T16:15:24Z","snapshot_observed_at":"2026-07-06T12:48:09.494337Z","submitted_at":"2022-03-15T16:15:24Z","title":"A Noise-level-aware Framework for PET Image Denoising","version":1},"cited_work":{"arxiv_id":"2203.08034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.08034","snapshot_observed_at":"2026-07-01T15:45:48.466886Z","title":"arXiv:2203.08034 (2022)","venue":null,"work_id":"a124dba7-6a50-41c1-9cd0-158d0a7fb592","year":2022},"citing_paper":{"arxiv_id":"2606.28513","last_updated":"2026-06-26T18:09:04Z","snapshot_observed_at":"2026-07-07T00:02:33.644076Z","submitted_at":"2026-06-26T18:09:04Z","title":"HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T01:09:27.569795Z"},"links":{"cited_paper":"/paper/2203.08034","citing_paper":"/paper/2606.28513"},"observation_digest":"sha256:a0de10ef302508053fabcde0de5237397c6c086efefb0a2b6c85ff2246ec1cb7","observation_id":"024bffa9-ca87-4967-a280-555dacd939b9","resolution":{"observed_at":"2026-07-01T15:45:48.479289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.08034/citation-record","integrity":"/paper/2203.08034/integrity","json":"/paper/2203.08034/citation-record.json","paper":"/paper/2203.08034"},"outbound":[],"paper":{"arxiv_id":"2203.08034","last_updated":"2022-03-15T16:15:24Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T12:48:09.494337Z","submitted_at":"2022-03-15T16:15:24Z","title":"A Noise-level-aware Framework for PET Image Denoising"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2203.08034."}