{"as_of":"2026-08-10T12:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:68dfb2636980d21479aeefa964d894331412ddf88388966e091393a84ae4f5ec","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:34:10.780702Z","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":"2026-07-04T00:09:15.056324Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-08-07T12:34:10.780702Z","title":"Universal image restora- tion pre-training via degradation classification.arXiv preprint arXiv:2501.15510,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24406","last_updated":"2025-05-30T09:45:41Z","snapshot_observed_at":"2026-08-09T12:23:21.736774Z","submitted_at":"2025-05-30T09:45:41Z","title":"IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:34:10.780702Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2505.24406"},"observation_digest":"sha256:0a8dd83f4f0185d128997c4f172009f14e6d2539d8cee9d3c8d6d1cceef8917c","observation_id":"626eb50c-7372-496e-96b6-a55cd3d9e30d","resolution":{"observed_at":"2026-08-07T12:34:10.780702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-08-06T04:31:24.257125Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.03373","last_updated":"2025-08-05T12:26:28Z","snapshot_observed_at":"2026-08-08T14:01:10.004661Z","submitted_at":"2025-08-05T12:26:28Z","title":"Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T04:31:24.257125Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2508.03373"},"observation_digest":"sha256:8c72aa62ccac03df10b4577b67de6c38b5e1526ebb5a80fa66fcb8284445f09c","observation_id":"d859a082-a20a-4f4c-855f-21d1b7eff3e2","resolution":{"observed_at":"2026-08-06T04:31:24.257125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-08-05T21:53:27.953885Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.07878","last_updated":"2025-08-11T11:51:06Z","snapshot_observed_at":"2026-08-07T06:18:31.329878Z","submitted_at":"2025-08-11T11:51:06Z","title":"TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:27.953885Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2508.07878"},"observation_digest":"sha256:a7d48cfd75be8dd0df118f7f595d2d0b29ccf0baa5b24fa6436f64a2f1bccbfa","observation_id":"d2189a3d-13ac-4b57-94d7-872dd924f691","resolution":{"observed_at":"2026-08-05T21:53:27.953885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":"2501.15510","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-04T00:09:15.056324Z","title":"Uni- versal image restoration pre-training via degradation classi- fication","venue":null,"work_id":"23443a99-4adf-4d65-ab6b-af4110647ffc","year":2025},"citing_paper":{"arxiv_id":"2601.20306","last_updated":"2026-05-17T09:55:00Z","snapshot_observed_at":"2026-07-06T22:43:17.026472Z","submitted_at":"2026-01-28T06:55:07Z","title":"TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-21T14:00:00.292925Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2601.20306"},"observation_digest":"sha256:1421330cfeaeabf439b8fec3973c7c25f5936c6b273f68cb1a574900ef2dc73a","observation_id":"684c74ff-4458-458a-b576-e07024e56b22","resolution":{"observed_at":"2026-05-21T14:00:12.967607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":"2501.15510","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-04T00:09:15.056324Z","title":"Uni- versal image restoration pre-training via degradation classi- fication","venue":null,"work_id":"23443a99-4adf-4d65-ab6b-af4110647ffc","year":2025},"citing_paper":{"arxiv_id":"2604.04924","last_updated":"2026-04-06T17:59:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-06T17:59:04Z","title":"Your Pre-trained Diffusion Model Secretly Knows Restoration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T19:08:08.266895Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2604.04924"},"observation_digest":"sha256:895191aec192f0d58f8dda9bc6468ba5002edbc74c720bbbf40480036842d040","observation_id":"3603a17f-5d17-47e1-9dbc-e424d8db5f33","resolution":{"observed_at":"2026-05-10T23:25:54.404815Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":"2501.15510","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-04T00:09:15.056324Z","title":"Uni- versal image restoration pre-training via degradation classi- fication","venue":null,"work_id":"23443a99-4adf-4d65-ab6b-af4110647ffc","year":2025},"citing_paper":{"arxiv_id":"2604.09313","last_updated":"2026-04-10T13:27:39Z","snapshot_observed_at":"2026-08-01T07:51:30.325668Z","submitted_at":"2026-04-10T13:27:39Z","title":"Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T17:07:35.968560Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2604.09313"},"observation_digest":"sha256:161369d94dc8bc4cbcd64745fbea5cfdbad781ca43855d70bff478e53446926f","observation_id":"67256392-2eed-45f0-8635-76fffa7f6ed3","resolution":{"observed_at":"2026-05-11T07:35:57.099826Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":"2501.15510","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-04T00:09:15.056324Z","title":"Uni- versal image restoration pre-training via degradation classi- fication","venue":null,"work_id":"23443a99-4adf-4d65-ab6b-af4110647ffc","year":2025},"citing_paper":{"arxiv_id":"2605.17506","last_updated":"2026-05-17T15:36:45Z","snapshot_observed_at":"2026-08-02T06:16:13.351103Z","submitted_at":"2026-05-17T15:36:45Z","title":"Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-20T13:48:54.829808Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2605.17506"},"observation_digest":"sha256:57efaa42170611fd38b5cc8d1b00a7a292cf938b613b7ac0c8a329bb4e6cbfc2","observation_id":"eac0498f-82e4-46fc-852a-09544814550f","resolution":{"observed_at":"2026-05-20T13:53:20.015128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":"2501.15510","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-04T00:09:15.056324Z","title":"Uni- versal image restoration pre-training via degradation classi- fication","venue":null,"work_id":"23443a99-4adf-4d65-ab6b-af4110647ffc","year":2025},"citing_paper":{"arxiv_id":"2606.19097","last_updated":"2026-06-17T14:09:39Z","snapshot_observed_at":"2026-08-04T14:28:13.284242Z","submitted_at":"2026-06-17T14:09:39Z","title":"DVANet: Degradation-aware Visual-prior Alignment Network for Image Restoration","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-26T21:25:58.180818Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2606.19097"},"observation_digest":"sha256:aa0ddbd34eb1e2b2be0e898afb325be10b35a0c9465908c8ea235ccb0c739948","observation_id":"3d1a90f3-cb8c-4222-88a6-7afae000c630","resolution":{"observed_at":"2026-07-04T00:09:15.059096Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15510","snapshot_observed_at":"2026-07-12T05:15:16.836693Z","title":"arXiv preprint arXiv:2501.15510 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03044","last_updated":"2026-07-03T07:34:11Z","snapshot_observed_at":"2026-08-09T14:33:50.443050Z","submitted_at":"2026-07-03T07:34:11Z","title":"CURE: Controllable Unified Image Restoration for Complex Degradations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T05:15:16.836693Z"},"links":{"cited_paper":"/paper/2501.15510","citing_paper":"/paper/2607.03044"},"observation_digest":"sha256:c4842b90767d7481b3f9b33e1f676c2a6815e0977cbcaf78f76c623c16ca52b3","observation_id":"9b7f2e71-922f-40f2-aa7a-347c585d7263","resolution":{"observed_at":"2026-07-12T05:15:16.836693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15510/citation-record","integrity":"/paper/2501.15510/integrity","json":"/paper/2501.15510/citation-record.json","paper":"/paper/2501.15510"},"outbound":[],"paper":{"arxiv_id":"2501.15510","last_updated":"2025-01-26T13:03:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:26:17.112340Z","submitted_at":"2025-01-26T13:03:37Z","title":"Universal Image Restoration Pre-training via Degradation Classification"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2501.15510."}