{"as_of":"2026-08-10T13:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50dae056a95f58104ef509a56e7fb8a2fa24763b3d8a8e8be044c6e1724713f5","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:32:15.310799Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.18674/citation-record","integrity":"/paper/2505.18674/integrity","json":"/paper/2505.18674/citation-record.json","paper":"/paper/2505.18674"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:20.625151Z","title":"Bringing old photos back to life,","venue":null,"work_id":"a5fa496c-f025-466f-8389-2c62a3eeb145","year":2020},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.356254Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:956cb43ed740c4efb0a42d3625c88bcb2958f9524fad16a67281b1f8769b1793","observation_id":"b9a2d102-7a0e-4cfa-b3cb-31848a9fd79f","resolution":{"observed_at":"2026-08-07T14:32:20.780346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:20.346395Z","title":"Pik-fix: Restoring and colorizing old photos,","venue":null,"work_id":"cbe9db31-c9dc-41a9-b0e6-5ae9a00be922","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.403991Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:2703b78d61e9a6f90175bb0b12cccfb8f957f4fe6046872dd8c37c3254975bd8","observation_id":"7ce66bd4-e9b3-4b6d-91a1-1662c12c43a2","resolution":{"observed_at":"2026-08-07T14:32:20.474917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:20.018735Z","title":"Esrgan: Enhanced super-resolution generative adversarial networks,","venue":null,"work_id":"121b60f9-9456-4f9b-bdd2-d14d0ba04551","year":2018},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.470183Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b7d1e087ef1038a57a460b8b17101859fb15d7957a2c004f0b26cc671eddc18d","observation_id":"76021745-c52a-4a4d-afdf-070feb7f9d43","resolution":{"observed_at":"2026-08-07T14:32:20.144755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.890662Z","title":"Swinir: Image restoration using swin transformer,","venue":null,"work_id":"4fa5c0b7-0971-4e86-94a2-9d5b4eef76ea","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.563205Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b20c2dbcd135f98de6901ce498088fd34a2fb5cc90b02e996130f63652a38309","observation_id":"0dcd6d3f-43b1-4ac3-b2c6-61d02614a6dc","resolution":{"observed_at":"2026-08-07T14:32:19.927324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.802529Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"8f32ef77-796d-48d9-9b45-de840cb7c96c","year":2020},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.656242Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:f0c146ad222ed53d7b56f79d53ca083659c126d4f58895cfadc2b58a7d5a1bce","observation_id":"46323d29-d342-455e-a34d-cafe84fc2c36","resolution":{"observed_at":"2026-08-07T14:32:19.843849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.727452Z","title":"High-resolution image synthesis with latent diffusion models,","venue":null,"work_id":"408e28f3-b211-477a-811c-e87a08a1bba7","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.724245Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:1535b6a1cfebd9d769e570519f93bd4189d0824a5652c0b1c219d0f8bf7475dc","observation_id":"48261c58-97c9-4ada-a92f-9f6894cdd86d","resolution":{"observed_at":"2026-08-07T14:32:19.756658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:12.789523Z","title":"Adding conditional control to text-to-image diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.789523Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:c7aeba16cf266e248ac44339886c984ec68a0e8135be80561fffeb593ec0ac2b","observation_id":"d520fa4c-a259-46d1-9d1d-e843f2aabaea","resolution":{"observed_at":"2026-08-07T14:32:12.789523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.558687Z","title":"Image superresolution via iterative refinement,","venue":null,"work_id":"5dd830da-7352-4626-be9f-46762e45ab45","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.858043Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:15e4c03bf7a72a0d3f85c026452a8efc033e5c637900d536792f1a29952bdaf5","observation_id":"e6e6e9c0-117b-4a64-8013-e7cb918d1ae7","resolution":{"observed_at":"2026-08-07T14:32:19.641204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.445608Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models,","venue":null,"work_id":"001be7f1-615a-4bcd-980e-4431df04a2bf","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:12.938639Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:c1616306d90a467fb21f41025c3cc697e93ad97b36b4ff199af58ef5eecb70e9","observation_id":"0426be70-f3e2-47df-bb8a-8dc08936ad37","resolution":{"observed_at":"2026-08-07T14:32:19.496940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.331059Z","title":"Deblurring via stochastic refinement,","venue":null,"work_id":"562b1364-dc09-4c60-aae2-97a5e9c39c14","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.006994Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:0367071219c1199b19a207104a6dc2261e672c20968c261c1b35a47a3644d626","observation_id":"3da1446c-ee4a-45f0-b224-8e3720bbe8cf","resolution":{"observed_at":"2026-08-07T14:32:19.361339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2108.02938","last_updated":"2021-09-15T04:03:34Z","snapshot_observed_at":"2026-07-06T11:36:03.810011Z","submitted_at":"2021-08-06T04:43:13Z","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.02938","snapshot_observed_at":"2026-08-07T14:32:13.104272Z","title":"Ilvr: Conditioning method for denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.104272Z"},"links":{"cited_paper":"/paper/2108.02938","citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:3df16347e69d3903fd9653335f870ccb293a4872112587f1eee36be31ead2d17","observation_id":"36e7a21a-aff4-4b80-ac1d-01000fa4cd4f","resolution":{"observed_at":"2026-08-07T14:32:13.104272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.179793Z","title":"Generative diffusion prior for unified image restoration and enhancement,","venue":null,"work_id":"2de41289-81d9-40f3-86e3-f78890c49420","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.166717Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:eefa7246507edc1f8b7bf0e3e06bc24a564e48ad314fe4bb4f5b02a5588d6c25","observation_id":"d2e57624-1b10-4b9b-a97c-54970105909f","resolution":{"observed_at":"2026-08-07T14:32:19.264077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:19.054490Z","title":"Exploiting diffusion prior for real-world image super-resolution,","venue":null,"work_id":"c2c399e7-34d6-411d-8d1f-7bd6d68fa79c","year":2024},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.258385Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b7e11bd16272389ab4e74087cf1481fe41b53209e27eb51cb184f3d40c606139","observation_id":"4694b58e-94ff-4339-9688-002faab9f990","resolution":{"observed_at":"2026-08-07T14:32:19.121005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T14:32:13.323081Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.323081Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:46a960e5f8f56990cf6a1958aaafa7bcdb8b552411f28eb1db1ab1a603f08036","observation_id":"184eb82c-28c3-4e33-829e-e31750bc5fe1","resolution":{"observed_at":"2026-08-07T14:32:13.323081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.916070Z","title":"Image super-resolution using deep convolutional networks,","venue":null,"work_id":"6e83422b-33a8-416d-bdd6-c9f6bff973da","year":2015},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.385753Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:33d7216b1e08923f7594289ec17f8c095b75d746f219f488cd7c9ecd33999fde","observation_id":"f627b529-9292-4ae7-8c21-c23da413ddbc","resolution":{"observed_at":"2026-08-07T14:32:18.976525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.746675Z","title":"Compression artifacts reduction by a deep convolutional network,","venue":null,"work_id":"43aefcd4-1522-428a-9197-cc0b66ae7285","year":2015},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.463034Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b2f4d4ef7b5e13f86b33e2ba1fc37c6a3b7110bb8e93135e42988b07a5227fdf","observation_id":"8f23b2e0-5154-48d3-818a-f034e074f5a2","resolution":{"observed_at":"2026-08-07T14:32:18.827348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.650313Z","title":"Attention is all you need,","venue":null,"work_id":"b9bc278d-0cb7-4ea9-b34a-691f9008c624","year":2017},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.529642Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:52082e74c2805f030097f76af0888ddfa7a800a21ce56817d6be6f06714365f8","observation_id":"87f777d0-709d-45ab-9fae-f4c360fc4173","resolution":{"observed_at":"2026-08-07T14:32:18.692307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.492232Z","title":"Pre-trained image processing transformer,","venue":null,"work_id":"9b93b95a-cbbd-4a09-97c9-624edc561c57","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.600667Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b2fb6e6f6876466aa199affea2cd54cdf92fd2188347a872b3b7f979c14313f1","observation_id":"9a60df31-4c16-4f1a-a857-32cd1164a1db","resolution":{"observed_at":"2026-08-07T14:32:18.574572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.392107Z","title":"Restormer: Efficient transformer for high-resolution image restoration,","venue":null,"work_id":"4c26ae54-64f1-485f-9ad0-d35f572816ce","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.704858Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:20d112db8ceee1c4625d0b46559fc4b03148461ad90f60d1d4c4559eda0b8eff","observation_id":"8f49671b-dc29-4738-b8be-e6f0e38f5624","resolution":{"observed_at":"2026-08-07T14:32:18.429614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.245351Z","title":"Gen- erative adversarial nets,","venue":null,"work_id":"ad115c1d-a7fe-4d6d-bfd3-81dab8d7e957","year":2014},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.772498Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:57249508fc3b76e8d76c76c5b8818df33b0f806a1e902bb101b1f4c1f465cc1c","observation_id":"8d8f4d37-4dee-49bc-82c0-d1b5feae7204","resolution":{"observed_at":"2026-08-07T14:32:18.322224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:18.090295Z","title":"Diffusart: Enhancing line art colorization with conditional diffusion models,","venue":null,"work_id":"6f939adc-b38a-4049-8f9c-5660c350bfbf","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.884319Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:210daccb907e3bd6e8232b95d8148f606e66ea7ee8427b4e685eb4a9a5e9dde2","observation_id":"03dd7916-9b90-436f-bb8b-c30dd99c5fd3","resolution":{"observed_at":"2026-08-07T14:32:18.141082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.961682Z","title":"Sinsr: Diffusion-based image super-resolution in a single step,","venue":null,"work_id":"5c57835f-e175-4dd1-8849-31904a719f12","year":2024},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:13.959125Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:b61672992613e04f9d46864cd73e5f8eabfe74d2bed14b43685d03dbddb06d37","observation_id":"5611785f-40dd-4a6b-9625-7e754ca9dc8c","resolution":{"observed_at":"2026-08-07T14:32:18.010471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.801095Z","title":"Diffir: Efficient diffusion model for image restoration,","venue":null,"work_id":"16ca1853-466b-45ae-9746-ee44ca8baefe","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.017658Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:aa7c74e86a8570cc4833fb2fc7271fc5d4cdb91dfa4f51b0d87aad83a6ab8246","observation_id":"6f304128-173b-4bb0-ba8e-5b39776de4a4","resolution":{"observed_at":"2026-08-07T14:32:17.888238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.677941Z","title":"Multiscale structure guided diffusion for image deblurring,","venue":null,"work_id":"c7f4840f-281a-4e27-9f29-38f3e2df9ba3","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.102214Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:9e6724efb02b5aff06dfabd27d908e888d11ec5ff18275f9a9ad245925e35323","observation_id":"528fb331-0a89-413a-bec2-b1cb08c937c2","resolution":{"observed_at":"2026-08-07T14:32:17.724855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.506447Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"7390788e-a62f-42e2-b718-dcde7305ad1c","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.174597Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:c4415bd0e7aef0293ededf008aae39654e616899e859d556a2dd651bf2b2d505","observation_id":"8acc3aa5-4787-4b8b-9837-758059a5f3ee","resolution":{"observed_at":"2026-08-07T14:32:17.594846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.372398Z","title":"Exploiting diffusion prior for real-world image super-resolution,","venue":null,"work_id":"920ba1c8-13d9-465a-8f69-2efb95a13cce","year":2024},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.274834Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:e72df1f95c5419aa02ae8eea717b32f0a3de226c649a521759d9bc24d5f0fe46","observation_id":"d83b7058-f9fe-48b9-ae86-f983b701c1b3","resolution":{"observed_at":"2026-08-07T14:32:17.424465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.191615Z","title":"To- wards robust blind face restoration with codebook lookup transformer,","venue":null,"work_id":"6d96ea31-11db-4e1e-92a8-3aa454a13e0a","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.374968Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:d249b5600e86aff3a7e971d7cb475d1d12f19ef684b92ffe64c76b8c45fc9eb0","observation_id":"a571f235-c982-49b7-8001-21e787e83764","resolution":{"observed_at":"2026-08-07T14:32:17.284418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:17.063483Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":"afbd2d4f-39e0-47db-8774-4895e136a647","year":2018},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.447079Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:e920be1a28a2e270ccd1f65d09fe10b4ea09108ae42c1fe97583c63d942bbbcc","observation_id":"4e1b5618-adfa-494b-bd7e-9607650a6d82","resolution":{"observed_at":"2026-08-07T14:32:17.130585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.955314Z","title":"Exploring clip for assessing the look and feel of images,","venue":null,"work_id":"8df76bc5-6679-4db8-b225-4137d20888fd","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.506784Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:ece8d7f5dcdca6015b5d8ca9abf005f4fe00d662115a84c00172478cc716e45a","observation_id":"88eec5f1-24dc-42c2-aaf0-20be849338e9","resolution":{"observed_at":"2026-08-07T14:32:16.999129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.781327Z","title":"Musiq: Multi- scale image quality transformer,","venue":null,"work_id":"42cf1e4b-102a-48ba-a472-3ecaf041a0c2","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.596281Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:e5421c127633ab3f180de80878da90f37a43c27913b4a248aff21c72db2854d3","observation_id":"db65aa7b-86f6-49c4-9855-50b693987e29","resolution":{"observed_at":"2026-08-07T14:32:16.881502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.611774Z","title":"Ntire 2017 challenge on single image super-resolution: Dataset and study,","venue":null,"work_id":"6280287d-4e96-42a6-95eb-9b26e7e77e8a","year":2017},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.659889Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:5d78ddf29a11f3f5761a219e77520d26a66544c6262317d458a87c07bd81d7a0","observation_id":"e9c6ba1c-fa9a-423b-8058-dacb216cb0cc","resolution":{"observed_at":"2026-08-07T14:32:16.675918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.485043Z","title":"jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!),","venue":null,"work_id":"8742e169-de2f-4832-9d83-58756cb66aa9","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.726626Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:a95ac548120415b64e6e2cec157f57a38a6e102c59db9c2e0aa512a5c58f3ac8","observation_id":"ef8237b0-0aae-4a8b-9c4f-afb9989adcde","resolution":{"observed_at":"2026-08-07T14:32:16.548685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.298273Z","title":"Toward real-world single image super-resolution: A new benchmark and a new model,","venue":null,"work_id":"eda527fe-a9e6-4ae8-a33e-e54f9a7e3ebb","year":2019},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.801824Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:1129dcb9936606d8d946241f4bada5f15d2e0d76b29664130b5c3335f2960c6b","observation_id":"c32823c6-c4e6-40c2-a8d8-3a737a730426","resolution":{"observed_at":"2026-08-07T14:32:16.396076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:16.157936Z","title":"Component divide-and-conquer for real-world image super-resolution,","venue":null,"work_id":"e0dce89f-c11d-4f84-b0ae-5441ba80daff","year":2020},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.882028Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:476ad57aa1226bc0c519e3acb84376708c5149d1ce806df710ef36d3e6368ac3","observation_id":"1f20663c-2e28-4e75-8e54-e4eb2e560162","resolution":{"observed_at":"2026-08-07T14:32:16.205772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:15.995164Z","title":"Real-esrgan: Training real- world blind super-resolution with pure synthetic data,","venue":null,"work_id":"a3695654-c485-4f5a-9b39-d4e44221ff0a","year":2021},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:14.978202Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:6a7524176800ea42e3cf69d1f5fe7bf1fe4a3409dd7af3de39a3f91754f31865","observation_id":"c1dd6dae-31e4-4c7c-92a5-92039efdbad4","resolution":{"observed_at":"2026-08-07T14:32:16.058698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:15.847461Z","title":"Cdformer: When degradation prediction embraces diffusion model for blind image super-resolution,","venue":null,"work_id":"9906589b-eb2e-477d-be75-8fa18492fd65","year":2024},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:15.052007Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:15d84d3ba5c410555757b39c5e18985278a08eb2ae815d3a3845877171c767b7","observation_id":"9d29e550-b555-4a46-8e8d-9ede81675ea0","resolution":{"observed_at":"2026-08-07T14:32:15.911746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:15.709889Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,","venue":null,"work_id":"6e09ef8e-50dc-418d-8cd5-3385b611ab4f","year":2023},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:15.151704Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:3ce81799cdfa3fe0b6a64e96e7b451796a4defa764e9e0df7585192dd9b31c9e","observation_id":"ee7f2b6a-00f7-464b-9bb3-77614184847f","resolution":{"observed_at":"2026-08-07T14:32:15.760773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:15.586837Z","title":"Unicolor: A unified framework for multi-modal coloriza- tion with transformer,","venue":null,"work_id":"63f5ac7e-5b4a-4874-bca7-43a131821fdf","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:15.246492Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:981755e7de012aefab81902e7daefb2707158eeb9d44d07ff53868e0917ac942","observation_id":"a4179677-43f2-498c-ae5e-980217eaa3fa","resolution":{"observed_at":"2026-08-07T14:32:15.635089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:15.448096Z","title":"L-code: Language-based colorization using color-object decoupled conditions,","venue":null,"work_id":"4e6009ca-e306-4210-ac8e-36d733ab6aa7","year":2022},"citing_paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:15.310799Z"},"links":{"citing_paper":"/paper/2505.18674"},"observation_digest":"sha256:c1add01398918f500b3d0371b35782f62a02c7a309a07e5d4f657e085ceef678","observation_id":"969bb135-0ea8-420e-9584-2f42151e3df4","resolution":{"observed_at":"2026-08-07T14:32:15.515068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2505.18674","last_updated":"2025-05-27T03:47:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T14:25:42.980592Z","submitted_at":"2025-05-24T12:32:53Z","title":"Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":39},"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 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.18674."}