{"as_of":"2026-08-09T10:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c78beeff3ea86e2ddc89b504d6b0d35e1a0e966357b2c6dc03a7b1945700b35c","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T15:50:42.946584Z","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":"2026-08-06T01:00:47.120956Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.16468","last_updated":"2024-09-25T20:29:36Z","snapshot_observed_at":"2026-08-09T05:20:11.540949Z","submitted_at":"2024-01-29T18:53:33Z","title":"InstructIR: High-Quality Image Restoration Following Human Instructions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16468","snapshot_observed_at":"2026-08-06T15:50:42.946584Z","title":"High- quality image restoration following human instructions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14851","last_updated":"2025-07-20T07:43:33Z","snapshot_observed_at":"2026-08-09T04:30:03.473722Z","submitted_at":"2025-07-20T07:43:33Z","title":"Grounding Degradations in Natural Language for All-In-One Video Restoration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:50:42.946584Z"},"links":{"cited_paper":"/paper/2401.16468","citing_paper":"/paper/2507.14851"},"observation_digest":"sha256:daef6f10168b620683fd4765d414f144abcfecc8a7476992abccc49b32a0735e","observation_id":"f90a2bea-6871-44c1-8578-b0c195ff7849","resolution":{"observed_at":"2026-08-06T15:50:42.946584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16468","last_updated":"2024-09-25T20:29:36Z","snapshot_observed_at":"2026-08-09T05:20:11.540949Z","submitted_at":"2024-01-29T18:53:33Z","title":"InstructIR: High-Quality Image Restoration Following Human Instructions","version":5},"cited_work":{"arxiv_id":"2401.16468","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.16468","snapshot_observed_at":"2026-08-06T01:00:47.120956Z","title":"InstructIR: High-Quality Image Restoration Following Human Instructions","venue":"cs.CV","work_id":"22446c28-a1ff-4844-b1d8-4a83d3fe866d","year":2024},"citing_paper":{"arxiv_id":"2508.04055","last_updated":"2025-08-06T03:30:39Z","snapshot_observed_at":"2026-08-06T01:00:37.862729Z","submitted_at":"2025-08-06T03:30:39Z","title":"Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:39.326808Z"},"links":{"cited_paper":"/paper/2401.16468","citing_paper":"/paper/2508.04055"},"observation_digest":"sha256:dcdb4942339b8ce5daedee9bc10702446ecd558c94f9f27562bec8641ed6ebd4","observation_id":"1b9abd24-7ff6-4ec7-9717-5c580b3dd90b","resolution":{"observed_at":"2026-08-06T01:00:47.226741Z","resolver_source":"local_arxiv","status":"verified_exact"},"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/2401.16468/citation-record","integrity":"/paper/2401.16468/integrity","json":"/paper/2401.16468/citation-record.json","paper":"/paper/2401.16468"},"outbound":[],"paper":{"arxiv_id":"2401.16468","last_updated":"2024-09-25T20:29:36Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T05:20:11.540949Z","submitted_at":"2024-01-29T18:53:33Z","title":"InstructIR: High-Quality Image Restoration Following Human Instructions"},"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 2 inbound Pith citation observations for arXiv:2401.16468."}