{"as_of":"2026-08-18T14:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1d2d2695c6625e583ccfe37af22f165e82192be6eee7b2527916164b9d0d7bf","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:49:45.757343Z","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":"2026-05-10T06:11:20.230826Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-08-11T14:01:05.336272Z","title":"Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, and Zhibo Chen","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.12571","last_updated":"2024-12-17T06:03:05Z","snapshot_observed_at":"2026-08-14T06:16:00.801017Z","submitted_at":"2024-12-17T06:03:05Z","title":"ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T14:01:05.336272Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2412.12571"},"observation_digest":"sha256:d5035b5ff63d431db349b24811cffbce98daa2a67efb6183568abffbb0e9730a","observation_id":"53ba41ce-4067-407f-86c3-b0c9aa164a0d","resolution":{"observed_at":"2026-08-11T14:01:05.336272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-08-10T19:17:01.773478Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.10325","last_updated":"2025-01-17T17:56:52Z","snapshot_observed_at":"2026-08-14T17:13:56.469902Z","submitted_at":"2025-01-17T17:56:52Z","title":"DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T19:17:01.773478Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2501.10325"},"observation_digest":"sha256:bc27b7d806d6784cfff154e2b4c451eaa8612a145a2b5f819c151531b1c9f4d6","observation_id":"a5a58b25-005e-4329-97d3-4179ae10f8b0","resolution":{"observed_at":"2026-08-10T19:17:01.773478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-08-16T11:49:45.757343Z","title":"Diffir: Efficient diffusion model for image restoration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14582","last_updated":"2026-06-16T05:36:06Z","snapshot_observed_at":"2026-08-18T11:05:13.965982Z","submitted_at":"2025-04-20T12:08:22Z","title":"NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:45.757343Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2504.14582"},"observation_digest":"sha256:c207df9dd1b1c97f46714a79de5506be72fefc0ae7fe5cdf7b5405dc189f4435","observation_id":"ce00b45d-e08b-4e9c-b13d-83b4eb4b6172","resolution":{"observed_at":"2026-08-16T11:49:45.757343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":"2303.09472","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffir: Efficient diffusion model for image restoration","venue":null,"work_id":"10bfdf6b-ac30-4155-a6ac-158366033475","year":2023},"citing_paper":{"arxiv_id":"2604.17306","last_updated":"2026-04-19T07:48:17Z","snapshot_observed_at":"2026-08-14T08:01:00.038533Z","submitted_at":"2026-04-19T07:48:17Z","title":"The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T06:09:02.837299Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2604.17306"},"observation_digest":"sha256:51b441279b3ce05fb502f3de02cae5ad8e2910d0500be5682811e85e2c978621","observation_id":"e690d931-375b-4b39-a8cc-f3fffcad3923","resolution":{"observed_at":"2026-05-10T06:11:20.232207Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":"2303.09472","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffir: Efficient diffusion model for image restoration","venue":null,"work_id":"10bfdf6b-ac30-4155-a6ac-158366033475","year":2023},"citing_paper":{"arxiv_id":"2604.21312","last_updated":"2026-04-23T06:07:45Z","snapshot_observed_at":"2026-08-13T16:56:52.190489Z","submitted_at":"2026-04-23T06:07:45Z","title":"The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-09T22:13:25.071126Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2604.21312"},"observation_digest":"sha256:e355763816c4c258a3fd6d4ce91a31037255726ff1dbfc9e6ef0f64e480f91e3","observation_id":"5f230877-3db1-45f6-9f3d-3b585d0e6faa","resolution":{"observed_at":"2026-05-09T22:49:16.179418Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09472","snapshot_observed_at":"2026-08-11T22:37:07.771397Z","title":"arXiv preprint arXiv:2303.09472 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09150","last_updated":"2026-08-10T05:55:05Z","snapshot_observed_at":"2026-08-17T20:36:31.170809Z","submitted_at":"2026-08-10T05:55:05Z","title":"OGG-FR: Orthogonal Gradient Gaming and Frequency Rectification for Unmanned Aerial Vehicle Infrared Image Super-Resolution","version":1},"reference_index":132,"source":"arxiv_source","source_observed_at":"2026-08-11T22:37:07.771397Z"},"links":{"cited_paper":"/paper/2303.09472","citing_paper":"/paper/2608.09150"},"observation_digest":"sha256:45ea1575f2fe593bee0a7b14360f4cc541edb307c5e40a494b6bf176a22ca51c","observation_id":"e95fd9d9-5c69-4b6a-9e22-2a8e9a7eb9b1","resolution":{"observed_at":"2026-08-11T22:37:07.771397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.09472/citation-record","integrity":"/paper/2303.09472/integrity","json":"/paper/2303.09472/citation-record.json","paper":"/paper/2303.09472"},"outbound":[],"paper":{"arxiv_id":"2303.09472","last_updated":"2023-08-16T14:36:41Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:47:38.677611Z","submitted_at":"2023-03-16T16:47:14Z","title":"DiffIR: Efficient Diffusion Model for Image Restoration"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.09472."}