{"as_of":"2026-08-18T00:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0eb3de465d77753e6f69d8bbb2ab10156dcc3796e5734a3f496383451e3c7a16","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T21:50:11.031702Z","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":"2026-05-22T21:22:09.748862Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-11T21:50:11.031702Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.04090","last_updated":"2025-03-10T12:01:01Z","snapshot_observed_at":"2026-08-17T17:02:37.222173Z","submitted_at":"2024-12-05T11:52:20Z","title":"LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T21:50:11.031702Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2412.04090"},"observation_digest":"sha256:16a934bdf6b7963d5ea10fe0e46213b87bc58e8d77ec610d6644432bbc7b2176","observation_id":"92125719-83b0-44d0-ae0c-f21a4db567b0","resolution":{"observed_at":"2026-08-11T21:50:11.031702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-11T14:03:19.616631Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.12550","last_updated":"2024-12-17T05:21:16Z","snapshot_observed_at":"2026-08-18T00:40:19.638521Z","submitted_at":"2024-12-17T05:21:16Z","title":"Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T14:03:19.616631Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2412.12550"},"observation_digest":"sha256:4c432b5cb34cd497c585cffade5c11a9be8f9bce4533060988b6720da5b707e4","observation_id":"cda142fb-c399-47b3-b1bd-056668bb9c32","resolution":{"observed_at":"2026-08-11T14:03:19.616631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-10T23:09:05.631387Z","title":"Promp- tir: Prompting for all-in-one blind image restoration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.21063","last_updated":"2025-04-13T03:11:43Z","snapshot_observed_at":"2026-08-13T21:14:44.977207Z","submitted_at":"2024-12-30T16:32:55Z","title":"Navigating Image Restoration with VAR's Distribution Alignment Prior","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T23:09:05.631387Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2412.21063"},"observation_digest":"sha256:5e3b45c0c147bc71616be69ad3846ff387137af0c64053ed8ea1e8853dde1576","observation_id":"a3e418b2-9ec5-44f3-bd6e-533017df2038","resolution":{"observed_at":"2026-08-10T23:09:05.631387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-10T22:17:25.116308Z","title":"arXiv preprint arXiv:2306.13090 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02269","last_updated":"2025-01-04T12:15:37Z","snapshot_observed_at":"2026-08-11T00:47:20.421530Z","submitted_at":"2025-01-04T12:15:37Z","title":"TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:17:25.116308Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2501.02269"},"observation_digest":"sha256:13ada6a620d40e853d7875485f3f2af555910d46c1066627da8f1aa02ba0fa1f","observation_id":"323a9f7e-c4e6-4d18-95a4-2d79f20e0319","resolution":{"observed_at":"2026-08-10T22:17:25.116308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-09T04:17:43.880269Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.03649","last_updated":"2025-02-05T22:21:05Z","snapshot_observed_at":"2026-08-17T21:28:17.801763Z","submitted_at":"2025-02-05T22:21:05Z","title":"All-in-One Image Compression and Restoration","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T04:17:43.880269Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2502.03649"},"observation_digest":"sha256:54d7423d0e9fb68b2509b8591997dd465dd10b884298ac5e7065f9f99acb1416","observation_id":"636f9f0f-ed87-43e9-a671-f1041fc7c4e3","resolution":{"observed_at":"2026-08-09T04:17:43.880269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-08T18:14:31.542251Z","title":"W., Khan, S., and Khan, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.05749","last_updated":"2025-06-06T09:11:42Z","snapshot_observed_at":"2026-08-17T17:58:47.882546Z","submitted_at":"2025-02-09T02:43:57Z","title":"UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control","version":5},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-08T18:14:31.542251Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2502.05749"},"observation_digest":"sha256:c9cd777e23618e2a97eb5266ae3a88d8adc72ee530307b4fb9b6af3be03922b3","observation_id":"953b98f4-12bb-4e25-953d-bdc750634c45","resolution":{"observed_at":"2026-08-08T18:14:31.542251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":"2306.13090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":"98647ac0-02e8-4bbe-a2a7-db5411cb2ba2","year":2023},"citing_paper":{"arxiv_id":"2504.07148","last_updated":"2026-04-13T07:27:05Z","snapshot_observed_at":"2026-08-03T08:08:22.792118Z","submitted_at":"2025-04-09T03:12:44Z","title":"Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-22T21:17:15.694349Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2504.07148"},"observation_digest":"sha256:82a9d8cddeaf08d8242c32022afc2e7663b699989ac5cd34d24f565f70190aea","observation_id":"e76cd0cd-dbca-41a0-b9e4-84cc093916fe","resolution":{"observed_at":"2026-05-22T21:22:09.751811Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-07T15:10:07.867863Z","title":"Promptir: Prompting for all-in-one blind image restoration.arXiv preprint arXiv:2306.13090,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16157","last_updated":"2026-07-14T12:14:20Z","snapshot_observed_at":"2026-08-11T23:41:57.660995Z","submitted_at":"2025-05-22T02:57:23Z","title":"Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T15:10:07.867863Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2505.16157"},"observation_digest":"sha256:1e45398564059c4664f7945546c9181bbd4a13447286ac81ea92873ef5645077","observation_id":"3f84e4f6-c10f-495e-98e4-fc6dd97e2508","resolution":{"observed_at":"2026-08-07T15:10:07.867863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-08-05T21:53:30.756925Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07878","last_updated":"2025-08-11T11:51:06Z","snapshot_observed_at":"2026-08-17T14:12:28.672914Z","submitted_at":"2025-08-11T11:51:06Z","title":"TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T21:53:30.756925Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2508.07878"},"observation_digest":"sha256:1b2dc3bc9592e1d72459c21124391e3ba38863e67163fccddde98be9a4ef5ced","observation_id":"8afafffe-0586-4ad1-bd31-32b8ce67125f","resolution":{"observed_at":"2026-08-05T21:53:30.756925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":"2306.13090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":"98647ac0-02e8-4bbe-a2a7-db5411cb2ba2","year":2023},"citing_paper":{"arxiv_id":"2604.02742","last_updated":"2026-04-03T05:29:12Z","snapshot_observed_at":"2026-08-11T17:39:35.928212Z","submitted_at":"2026-04-03T05:29:12Z","title":"Task-Guided Prompting for Unified Remote Sensing Image Restoration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T18:32:34.439713Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2604.02742"},"observation_digest":"sha256:b845ffbb4dc37af4770a1cb41b333ef4b9cc9dfee90887750f5876766778818a","observation_id":"0b793488-8674-4aa0-a0f8-acc8e5e7a15c","resolution":{"observed_at":"2026-05-13T18:33:06.516116Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","version":1},"cited_work":{"arxiv_id":"2306.13090","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.13090","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Promptir: Prompting for all-in-one blind image restoration","venue":null,"work_id":"98647ac0-02e8-4bbe-a2a7-db5411cb2ba2","year":2023},"citing_paper":{"arxiv_id":"2605.21381","last_updated":"2026-05-20T16:41:32Z","snapshot_observed_at":"2026-08-17T00:49:18.131152Z","submitted_at":"2026-05-20T16:41:32Z","title":"Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-21T04:41:17.269463Z"},"links":{"cited_paper":"/paper/2306.13090","citing_paper":"/paper/2605.21381"},"observation_digest":"sha256:0c3c3bda65105459e989758c976d09f2c95fb32016333488af32a01b90666868","observation_id":"5e0c1ca6-0284-4914-90c9-ed52dd3263bb","resolution":{"observed_at":"2026-05-21T04:43:58.649923Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.13090/citation-record","integrity":"/paper/2306.13090/integrity","json":"/paper/2306.13090/citation-record.json","paper":"/paper/2306.13090"},"outbound":[],"paper":{"arxiv_id":"2306.13090","last_updated":"2023-06-22T17:59:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T14:04:45.608715Z","submitted_at":"2023-06-22T17:59:52Z","title":"PromptIR: Prompting for All-in-One Blind 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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.13090."}