{"as_of":"2026-08-13T16:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9808249819bb7386b2f1005e3dcc440709039e9adaf1045ca03fb912d2070f30","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:38:07.474572Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2508.19664/citation-record","integrity":"/paper/2508.19664/integrity","json":"/paper/2508.19664/citation-record.json","paper":"/paper/2508.19664"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:38:07.710970Z","title":"Automation in Construction 162, 105404 (2024)","venue":null,"work_id":"037ae80f-8d15-402a-a94c-ac3ebae76b26","year":2024},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.397719Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:eea5f520f47c110741232c3f2529bbfb3e09cfd76f74041b7164d9c6e3790549","observation_id":"88c4ec41-a881-45bb-b00d-342076727f4e","resolution":{"observed_at":"2026-08-05T15:38:07.714033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.702431Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)","venue":null,"work_id":"17860a63-30ee-45bc-9545-c3df77c3ef8f","year":2021},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.401441Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:b375d56e8894c1b6b963c9e32a38e06a4f052afef43051d1ea894798a75d7f3a","observation_id":"537346a1-7672-4ad1-952e-8d28a92193e5","resolution":{"observed_at":"2026-08-05T15:38:07.705345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.694208Z","title":"IEEE Journal of Biomedical and Health Informatics26(9), 4645–4655 (2022)","venue":null,"work_id":"e01c45cc-4138-4fdd-8f69-f9dd4bef150b","year":2022},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.404633Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:73fb8a1fcc2540215d909ddb63478297a6d38bfe1402eb1a2dd24fa854410c5c","observation_id":"24dbf823-b993-476b-83df-2f276e34a05b","resolution":{"observed_at":"2026-08-05T15:38:07.697182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.686139Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"7fc4c100-6f53-462b-b077-8d4370461eec","year":2023},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.408017Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:acd21d6221cf37c92c3daaa347d490ce98c4ff2a62a56fbcf7f3c493a94c78ab","observation_id":"2f81bb92-9e9b-40f5-9b73-fbfbab0d2865","resolution":{"observed_at":"2026-08-05T15:38:07.688975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.677326Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)","venue":null,"work_id":"e7417d9f-d519-4f2b-9e2e-b4cc701ceaad","year":2020},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.411755Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:ffde090a067c703852fba04c42632e101b9ba5ac52056f0a2f05498b48657a5c","observation_id":"ff8fcb85-1c35-400f-af30-da69f5614de1","resolution":{"observed_at":"2026-08-05T15:38:07.680050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.668860Z","title":"PLoS One18(3), e0282416 (2023)","venue":null,"work_id":"bb485f70-4179-45e8-8433-7f2d522dfcb6","year":2023},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.415008Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:a7f8fabe49c64bd41fb57c3487c7c7727008a1eec673b32eea72071d8ca3bbdc","observation_id":"426bb0d5-7009-4fb7-a613-3a03c1092f48","resolution":{"observed_at":"2026-08-05T15:38:07.671837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.659801Z","title":"IEEE Transactions on Pattern Analysis and Machine Intel- ligence 44(8), 4225–4238 (2022) 10 W","venue":null,"work_id":"ccd54f06-6350-4d08-bd7f-2065677f8041","year":2022},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.418697Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:2e2f3f533e265ff4ee97b185fc11e244ad5d48c8c6b02d1edabfbeea68887729","observation_id":"2121859a-e66c-4de6-b65a-3ff8985b0a92","resolution":{"observed_at":"2026-08-05T15:38:07.663040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.650701Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"6ba373db-a85b-45d0-82e6-5388f9a9ec93","year":2022},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.421848Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:e73a96d12bc2f8c00dc1f19bebc502b1e97ca815152f1471406e0fe79ac8ef48","observation_id":"9743bcd6-bb31-42ef-bc15-859923cd5f64","resolution":{"observed_at":"2026-08-05T15:38:07.653880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.641302Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"f1419452-9e61-4af0-b77e-280d36aee3a6","year":2021},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.424925Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:c59e21bee57e85c335e7d83ae0797f4a74b029daa07e616abdea1d43788fde7e","observation_id":"12c36aa3-21c3-4ccd-ab5b-a79a16227e20","resolution":{"observed_at":"2026-08-05T15:38:07.644622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.631525Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"545d2ac3-3f04-47a9-bb18-3e1a68b0a1f3","year":2022},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.428166Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:901a09878c02cde8f2b1f6d65b39a0ae810b91651e732aa461d7d6bee96ee0fc","observation_id":"0a01c067-daeb-4944-96c6-340d26ee0992","resolution":{"observed_at":"2026-08-05T15:38:07.634727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.622311Z","title":"In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II 23","venue":null,"work_id":"e44d3835-6592-41b6-95a8-a48b44c118f3","year":2020},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.431243Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:5099b51588e96558d9ce2863d49841072c28b6750eb36ed7d24b2d1d94724fae","observation_id":"6e9dd9cb-9658-4895-8a6c-faeaacf1b08c","resolution":{"observed_at":"2026-08-05T15:38:07.625524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.612625Z","title":"IEEE Transactions on image processing 21(12), 4695–4708 (2012)","venue":null,"work_id":"006b17fb-0cc5-4519-8db8-398d905f2c80","year":2012},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.434490Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:3c794106b00f26d555c76cab7292ef4cb8fe4473bfdfcd911f3aee8c884f2ec4","observation_id":"558ba3b5-8ae5-4130-be2b-df7f0823d820","resolution":{"observed_at":"2026-08-05T15:38:07.616335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.437865Z","title":"completely blind","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.437865Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:62328af8e5aee6c38007fcacec7ff4145bc14ee0077cb908df9cd0d0e0636c3f","observation_id":"496eb786-3a40-4167-89b8-df2b8778b1d0","resolution":{"observed_at":"2026-08-05T15:38:07.437865Z","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":"2026-08-05T15:38:07.598748Z","title":"In: International Workshop on Ophthalmic Medical Image Analysis","venue":null,"work_id":"ba6da2b0-8428-457b-a47e-33d1f58a2401","year":2020},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.441012Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:c739375a67ae647309d252ed861148f3bdaadfcaf0ad8b409a0b630617467b06","observation_id":"b1b94466-e85d-4683-b0f6-9a18d64e8239","resolution":{"observed_at":"2026-08-05T15:38:07.601746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.590165Z","title":"IEEE Transactions on Medical Imaging40(3), 996–1006 (2021)","venue":null,"work_id":"ba1bacb7-1512-4180-b69e-7130a80b3d21","year":2021},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.444098Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:17c32352fcd48a5f2d54cb911109cd01aaa93459559ff6e017160115f897bb17","observation_id":"04852282-a465-4223-a7af-67505938ad3a","resolution":{"observed_at":"2026-08-05T15:38:07.593079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.581423Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"3cfdd5c2-38e4-4ce5-bbfa-cd1c0d32ef6c","year":2024},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.446933Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:e43c668c81347f19a202f128e8366f1a8195944edeb30a97dcce6d8ab67f6cd4","observation_id":"5c8fa5a3-f227-44ef-9e2a-009d460623b4","resolution":{"observed_at":"2026-08-05T15:38:07.584532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.572406Z","title":"In: 2015 twenty first national conference on communications (NCC)","venue":null,"work_id":"75e30f63-0c5f-43e6-bbfd-df9cb955a341","year":2015},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.449865Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:8271e93eb4156218cc91eba976c7a7faefa43d729d9e268ec65e9fc3072e002c","observation_id":"33bebabc-6605-4aa1-8e87-c4c6d6147187","resolution":{"observed_at":"2026-08-05T15:38:07.575510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.563332Z","title":"In: 2008 International Conference on Wavelet Analysis and Pattern Recognition","venue":null,"work_id":"ba055d25-0ddc-4731-8282-65452f3c98e6","year":2008},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.452682Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:5d6816bc272807b73828445fcac52270d946d9ed60723cfbae997fd7a144c18d","observation_id":"fc4fdce5-9d90-4d3d-8201-8cd54dff1807","resolution":{"observed_at":"2026-08-05T15:38:07.566601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.554236Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"0fed5f69-7598-4edb-97b2-6ba1c47ce11c","year":2024},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.455690Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:18466d63bd5317d594fe106d26905ffb96025ce4b3dfe5dd4e2363f3f59e39fc","observation_id":"6bef9044-c69b-45a6-bf6c-96a82c05a9df","resolution":{"observed_at":"2026-08-05T15:38:07.557186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.545469Z","title":"In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"6a09e3a0-d41f-49c4-b6bd-8e0689eadb21","year":2023},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.458500Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:17cfcb1067eaadc4eede9c34aaa0a3740e886dfcf19bb5c48a617955d09c97b7","observation_id":"fe435b2f-c7b0-4e6c-88b3-061ae6d9b1e6","resolution":{"observed_at":"2026-08-05T15:38:07.548700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.536884Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"3d1e586f-b6ff-4307-94d5-049e52a8ede7","year":2023},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.461546Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:9bad3c87b730ba4643eb0a7f35eb68e176b3425a5773258a0d3358cf9b199e53","observation_id":"8f02360c-d13e-4b15-bfe3-7046eba63dc0","resolution":{"observed_at":"2026-08-05T15:38:07.540004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14132","last_updated":"2024-04-22T12:33:18Z","snapshot_observed_at":"2026-08-13T00:24:43.966955Z","submitted_at":"2024-04-22T12:33:18Z","title":"CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task","version":1},"cited_work":{"arxiv_id":"2404.14132","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.14132","snapshot_observed_at":"2026-08-05T15:38:07.500969Z","title":"CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task","venue":"cs.CV","work_id":"ac162f13-9e7b-475a-a565-293f8684065f","year":2024},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.464445Z"},"links":{"cited_paper":"/paper/2404.14132","citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:ea81fa44fc92a82b8f179da7531c7dc7bdf7df5c6e1c2fade613a47301630503","observation_id":"04336443-f1ac-43c5-9a2c-63c97cdfe260","resolution":{"observed_at":"2026-08-05T15:38:07.505901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.528002Z","title":"Expert Systems with Applications 244, 123005 (2024)","venue":null,"work_id":"55707dd9-b7a9-4d08-9e68-f0f2e4956b9e","year":2024},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.467864Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:5700bbf82414e138e26c08f00b74b687925ecf55a35989c1f131b9279f4f3ead","observation_id":"d4bffe00-9778-4e85-96a8-e90337682984","resolution":{"observed_at":"2026-08-05T15:38:07.531309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.517893Z","title":"International Journal of Computer Vision 130(9), 2103–2130 (2022)","venue":null,"work_id":"ed41c270-1780-42fb-8376-88c411a42a71","year":2022},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.470936Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:fe304f04bb282564dee88f87df4cad90d4dcbd51ff082b04608acab6b8f06437","observation_id":"c7fbff54-90a5-47f5-8043-a7f5593b1028","resolution":{"observed_at":"2026-08-05T15:38:07.521229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-05T15:38:07.474572Z","title":"In: Graphics gems IV","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T15:38:07.474572Z"},"links":{"citing_paper":"/paper/2508.19664"},"observation_digest":"sha256:704f34fced6267f596a3d427abaea4f9e6b48041a4f4d482f6e24c1e776800d5","observation_id":"1baa3c07-8cea-4251-a8fe-7b9533fa1c54","resolution":{"observed_at":"2026-08-05T15:38:07.474572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.19664","last_updated":"2025-08-27T08:24:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T15:38:07.096935Z","submitted_at":"2025-08-27T08:24:20Z","title":"A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":25},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2508.19664."}