{"as_of":"2026-08-11T02:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14cc477f2c7741418d4ebd14e4046d89f18ba24cb55227eb0a1afe9656852301","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:56:36.265147Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"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/2505.23068/citation-record","integrity":"/paper/2505.23068/integrity","json":"/paper/2505.23068/citation-record.json","paper":"/paper/2505.23068"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:41.255147Z","title":"Bilateral interaction for local- global collaborative perception in low-light image enhance- ment.IEEE Transactions on Multimedia, 2024","venue":null,"work_id":"55d0a13a-6859-4a99-8848-887a7bec523d","year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.017258Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:59c396138cc020a7f73dfb0210b48a45e77478aba08675b45cf3f4bb1716152d","observation_id":"0d7282a4-4474-48d7-8019-e724448a033a","resolution":{"observed_at":"2026-08-07T12:56:41.327651Z","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":"2026-08-07T12:56:41.136355Z","title":"Perceptual decoupling with heterogeneous auxiliary tasks for joint low-light image enhancement and deblurring.IEEE Transactions on Multimedia, pages 6663– 6675, 2024","venue":null,"work_id":"6812ebf1-aa15-4585-b5a4-20657f25c8f7","year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.023771Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:f14bd4b816aa58c87896b65d8ebfd25f66db92009cf67a21baafdca0c13a4823","observation_id":"8889ae5d-1089-4616-8472-38478053c36c","resolution":{"observed_at":"2026-08-07T12:56:41.204747Z","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":"2026-08-07T12:56:41.018322Z","title":"Restormer: Efficient transformer for high-resolution image restoration","venue":null,"work_id":"08940c4f-ee29-4b8c-a087-1aeec4883069","year":null},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.031516Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ca7df4b836a74a0595025ba8dd612b460111377d2410e57389e7ff1b0b8767c9","observation_id":"c1abd456-d358-4b42-9401-2d18556ed0d1","resolution":{"observed_at":"2026-08-07T12:56:41.056815Z","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":"2026-08-07T12:56:40.794544Z","title":"Illumination distillation framework for nighttime person re-identification and a new benchmark.IEEE Transactions on Multimedia, pages 1–14,","venue":null,"work_id":"c6195218-e662-4fc8-80a1-9cd267c7932b","year":null},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.038119Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:a55939c74a4e7a92f7b6ceb86d5eb8d409b6c51dae8eeec2ea1e62e9b5af4cc5","observation_id":"2d9d4171-f1a5-41d5-97c6-cf2cdc7c00b3","resolution":{"observed_at":"2026-08-07T12:56:40.894045Z","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":"2026-08-07T12:56:40.647746Z","title":"SPN2D-GAN: Semantic prior based night-to-day image-to-image translation.IEEE Trans- actions on Multimedia, pages 1–15, 2022","venue":null,"work_id":"ff084b78-81e4-4b94-8b8e-55e154504c7a","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.044235Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:be1e4bb41db508f66ae8c31620864b8b1fb2100e092ac39b544820cbfd24a753","observation_id":"ee850d98-11c4-40a4-b08b-d4a8cec2e613","resolution":{"observed_at":"2026-08-07T12:56:40.705950Z","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":"2026-08-07T12:56:40.504299Z","title":"Making the rarth clear at night: A high-resolution nighttime light image deblooming network.IEEE Transac- tions on Geoscience and Remote Sensing, 61:1–13, 2023","venue":null,"work_id":"7d9e5366-081a-4149-95ef-726dc3ea9b44","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.050889Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:79a871ec5d3fc68bcef91a9abfb4165cc39d72a94404232d1a019c3d4db54469","observation_id":"bd62b92e-b309-4f02-a2fb-15c4bafb9d96","resolution":{"observed_at":"2026-08-07T12:56:40.559998Z","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":"2026-08-07T12:56:40.326896Z","title":"Kindling the darkness: A practical low-light image enhancer","venue":null,"work_id":"e7668323-2891-465c-a080-ca4bda89ffdd","year":2019},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.057309Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:1632a927d255caca9e65e1a3d671c0868acbda6b7cb47251e3647a2ed7893ce7","observation_id":"cd81259c-c335-4a9b-84ad-c784776fa939","resolution":{"observed_at":"2026-08-07T12:56:40.410282Z","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":"2026-08-07T12:56:40.135085Z","title":"Deep retinex decomposition for low-light enhancement","venue":null,"work_id":"7b0927db-1c22-45a3-938b-78faf3dd7c5b","year":2018},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.063636Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:9c1a1de1349345c8f96f7fec3005770ea1c188e094d64972cadf038fd99cd4a6","observation_id":"7fffbae8-5b65-42d4-bee9-42cc68079135","resolution":{"observed_at":"2026-08-07T12:56:40.221535Z","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":"2026-08-07T12:56:39.911180Z","title":"Retinexformer: One-stage retinex- based transformer for low-light image enhancement","venue":null,"work_id":"2961698c-4b10-487a-92e0-a919c23be19a","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.070319Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ed0087f989c864f7302af404577b4dff82c61458ae0aa4de42cf417a402a64b6","observation_id":"e48a8f62-245f-4808-957a-94e3c99258b2","resolution":{"observed_at":"2026-08-07T12:56:40.027336Z","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":"2026-08-07T12:56:39.758170Z","title":"Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method","venue":null,"work_id":"03f4f1a6-8bae-483b-922b-8b16ca8209cc","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.076437Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:a997154ef0db601a2c9cd865b94dce4fcebedbf472b81bd7a87ebfbc564421d7","observation_id":"1a640c94-e6b6-44cb-9aad-6a9a43cf5f51","resolution":{"observed_at":"2026-08-07T12:56:39.820709Z","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":"2405.03349","last_updated":"2024-05-20T02:37:16Z","snapshot_observed_at":"2026-08-09T04:57:16.538041Z","submitted_at":"2024-05-06T10:59:15Z","title":"Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03349","snapshot_observed_at":"2026-08-07T12:56:36.082204Z","title":"Retinexmamba: Retinex-based mamba for low-light image enhancement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.082204Z"},"links":{"cited_paper":"/paper/2405.03349","citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:e8990534ecb0f253739d577a1df8bed3c5ae126b30fa42b96c161218fbf863e4","observation_id":"64003b35-e81f-4388-856f-433106b54075","resolution":{"observed_at":"2026-08-07T12:56:36.082204Z","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":"2026-08-07T12:56:39.594223Z","title":"SNR-aware low-light image enhancement","venue":null,"work_id":"35d0a092-c23b-4979-b9ee-62ecd9c6fca0","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.087428Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:2e04e42a8249dc3cbe0249a213ae7457a252d1ca892a462e08959f41ac89caa3","observation_id":"6378301f-d126-4e0a-8446-f54671f503e8","resolution":{"observed_at":"2026-08-07T12:56:39.675836Z","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":"2026-08-07T12:56:39.406011Z","title":"LED- Net: Joint low-light enhancement and deblurring in the dark","venue":null,"work_id":"c1a28d36-01ca-4771-984b-efa7218476a2","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.092681Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:2d47be58e4aae512cc02612bef15377500cff71296c29155c30c6a3b427de8df","observation_id":"b5d95322-c847-4463-92c9-dc94c19f83e3","resolution":{"observed_at":"2026-08-07T12:56:39.492534Z","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":"2026-08-07T12:56:39.195289Z","title":"Learning enriched features for real image restoration and enhancement","venue":null,"work_id":"70d7b43e-696f-4e91-86d0-7c81cdcf1f37","year":2020},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.097473Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:594cdfe3a3fd0bd9021e65910751c10eb83e5c6fd4b32e6e3fb2c4e51991eee3","observation_id":"3de5218e-1e71-4705-bc06-07b5544c6ad6","resolution":{"observed_at":"2026-08-07T12:56:39.272561Z","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":"2026-08-07T12:56:39.067178Z","title":"Pre-trained image processing transformer","venue":null,"work_id":"911ea59d-8489-4877-904c-e4588b01c4e8","year":2021},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.102457Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:08793b2feba2706f44eda4574d3a4f21780485a3264d27429d00abcc1044ec13","observation_id":"f617807e-c1ec-465f-90e9-2974a724bdbd","resolution":{"observed_at":"2026-08-07T12:56:39.134128Z","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":"2026-08-07T12:56:36.107805Z","title":"MambaIR: A simple baseline for im- age restoration with state-space model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.107805Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:e3b813eb2f755384418c157a4ed92bbb58ce3ff2e4a8cf07383d0a1d85d3d23b","observation_id":"da267f5c-1689-44ca-bfa5-45e1525f7c82","resolution":{"observed_at":"2026-08-07T12:56:36.107805Z","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":"2026-08-07T12:56:38.843172Z","title":"Uformer: A gen- eral u-shaped transformer for image restoration","venue":null,"work_id":"2444f944-69dd-4a3f-b9d4-a70fd1080b48","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.113252Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:5341c87ad961ce0d0e126e77da03d925a023731698e7d82b1e4e832a3d43a638","observation_id":"73ba9b5d-0c94-49d1-b2a4-f414a34b7d8c","resolution":{"observed_at":"2026-08-07T12:56:38.925842Z","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":"2305.13048","last_updated":"2023-12-11T03:58:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-22T13:57:41Z","title":"RWKV: Reinventing RNNs for the Transformer Era","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13048","snapshot_observed_at":"2026-08-07T12:56:36.118131Z","title":"RWKV: Reinventing rnns for the transformer era.arXiv preprint arXiv:2305.13048, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.118131Z"},"links":{"cited_paper":"/paper/2305.13048","citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:90784db04c36befa55b3423d38b9ef1ed480144f1311af711fdfa227382516f2","observation_id":"fa8d2c0e-8010-4f94-98b2-2538dae9633e","resolution":{"observed_at":"2026-08-07T12:56:36.118131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02308","last_updated":"2025-03-31T06:14:48Z","snapshot_observed_at":"2026-08-10T09:03:08.430176Z","submitted_at":"2024-03-04T18:46:20Z","title":"Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02308","snapshot_observed_at":"2026-08-07T12:56:36.124002Z","title":"Vision-RWKV: Efficient and scalable visual perception with RWKV-like architectures.arXiv preprint arXiv:2403.02308, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.124002Z"},"links":{"cited_paper":"/paper/2403.02308","citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ca23a6d5b0490b849735457032202b1a7c302d1392d36c5ca1098759144a5d00","observation_id":"38f2ef0b-618b-4ec7-9781-ad1871ac8ad4","resolution":{"observed_at":"2026-08-07T12:56:36.124002Z","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":"2026-08-07T12:56:38.643257Z","title":"Adaptive image contrast enhancement using generalizations of histogram equalization.IEEE Transac- tions on Image Processing, 9:889–896, 2000","venue":null,"work_id":"fd525a01-40e7-4758-80c6-c6ac871f1101","year":2000},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.130020Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:83d28934820b4adc854122dfb5a7fc9811e71b21f0363e53b3cfdebfc2673152","observation_id":"ab03f013-c2b7-4aa6-a310-6cd19de46963","resolution":{"observed_at":"2026-08-07T12:56:38.756494Z","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":"2026-08-07T12:56:38.492365Z","title":"A dynamic his- togram equalization for image contrast enhancement.IEEE Transactions on Consumer Electronics, 53:593–600, 2007","venue":null,"work_id":"2b2b6941-69be-435e-9e50-96b05f76cdc0","year":2007},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.135371Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:0701e341ad9270aa080ae2e8ba983eb131b8bb4b4cc7642bbfbd97242da8a70e","observation_id":"7d7676bf-0401-4c07-a9f1-7676d372d699","resolution":{"observed_at":"2026-08-07T12:56:38.567410Z","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":"2026-08-07T12:56:38.314008Z","title":"Contextual and variational contrast enhancement.IEEE Transactions on Image Process- ing, 20:3431–3441, 2011","venue":null,"work_id":"689ef461-c8c7-4dd9-8edc-fbec74b079c5","year":2011},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.140338Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:661020792d046d4686fc15a968648ffb16e647387cc2f88d010787473f62c784","observation_id":"fa592ed8-6042-48b4-838d-142a61b6513f","resolution":{"observed_at":"2026-08-07T12:56:38.383957Z","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":"2026-08-07T12:56:38.160731Z","title":"A probabilistic method for image enhancement with simultaneous illumination and re- flectance estimation.IEEE Transactions on Image Process- ing, 24:4965–4977, 2015","venue":null,"work_id":"2ee6865c-1f34-440b-97e7-cf56a6867417","year":2015},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.145105Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:3a971d613b153d4f9b50347d17913f2fa2379cf2f24676eb92830dae6076ed56","observation_id":"a66bb613-4b89-40ca-babf-8fd714dc5483","resolution":{"observed_at":"2026-08-07T12:56:38.254877Z","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":"2026-08-07T12:56:38.108137Z","title":"Structure-revealing low-light image en- hancement via robust retinex model.IEEE Transactions on Image Processing, 27:2828–2841, 2018","venue":null,"work_id":"d2b279a5-35b0-429e-961f-b06e0c50a70e","year":2018},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.150416Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ad2b31a7e8b817c5545be0a1a56f3d10043a39fccdcbaa338781700d36b88d3d","observation_id":"5999194e-686b-4aa3-880a-09e2fc28ac5a","resolution":{"observed_at":"2026-08-07T12:56:38.130126Z","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":"2026-08-07T12:56:38.037449Z","title":"A multiscale retinex for bridging the gap between color images and the human observation of scenes.IEEE Transactions on Image processing, 6:965–976, 1997","venue":null,"work_id":"bf21e2ab-12fe-4046-b92d-7ea5b99c5028","year":1997},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.156462Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:b3bff6312dfc1c8b6c4af96b51f38727833fb6f566f8dc8e54ebb3ef692762d5","observation_id":"9d37df55-72af-45a2-9065-c7768576b8cc","resolution":{"observed_at":"2026-08-07T12:56:38.078033Z","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":"2026-08-07T12:56:37.862500Z","title":"FourLLIE: Boost- ing low-light image enhancement by fourier frequency infor- mation","venue":null,"work_id":"0b9dcb14-6ca9-4a49-8b1f-57196effee6f","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.161993Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:3475b1857ac154e981182d353894c46a4857cf362be2997d67fb856401d86280","observation_id":"8f838fad-4d3b-4c6a-9b5e-1cddf72c26a3","resolution":{"observed_at":"2026-08-07T12:56:37.922957Z","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":"2026-08-07T12:56:37.700431Z","title":"Embedding fourier for ultra-high-definition low-light image enhancement.Proceedings of the International Conference on Learning Representations, 2023","venue":null,"work_id":"370bc723-0fa5-40de-be52-f9f0281f3190","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.167103Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:c8a28ec4fe1b256431fd794e9430bad22a6fe548c69a4e74f212d91dda2b2bc0","observation_id":"8b5d14ca-4a5e-493c-8f78-bc13c86914bf","resolution":{"observed_at":"2026-08-07T12:56:37.772892Z","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":"2026-08-07T12:56:37.490626Z","title":"Revitalizing convolutional network for image restoration","venue":null,"work_id":"a57a6812-a2c0-42f2-b809-7b1785c78fb2","year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.172442Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ac668d8d499c4c8bd3ecdc60d273a37a13ebb4071b5fbc37305110c98aa6337b","observation_id":"6044fd77-02f4-430f-90ed-cc01f554ac53","resolution":{"observed_at":"2026-08-07T12:56:37.582133Z","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":"2026-08-07T12:56:37.336792Z","title":"SwinIR: Image restoration using swin transformer","venue":null,"work_id":"f81c9625-fe0b-4586-aa50-f6f037bd4d70","year":null},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.177441Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:446753e3a8feb32983e14bfd39c87db9f414a8e429f948e99ae8195f8ea8d652","observation_id":"2b0d4440-529f-4c96-b13f-4a11f1e89ce1","resolution":{"observed_at":"2026-08-07T12:56:37.410911Z","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":"2026-08-07T12:56:37.249343Z","title":"Burstormer: Burst image restoration and enhancement transformer","venue":null,"work_id":"2e7c68c6-b961-4660-b82f-2154e4db1413","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.183562Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:ee9096dc3582a1042559efa8ab7cf4b0db0098644806f0b2cd35c70be1d5d8b4","observation_id":"c26f8517-a1f0-425e-b95f-c04238d72b2e","resolution":{"observed_at":"2026-08-07T12:56:37.279088Z","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":"2026-08-07T12:56:37.125840Z","title":"Fourmer: An efficient global modeling paradigm for image restoration","venue":null,"work_id":"d02c4232-289d-4eb0-8d09-c5553633c119","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.188660Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:7669cd40c7a94d5c01c02959c1581508d93686b8beac6b9cde3642b8d7eee728","observation_id":"160848eb-379e-4960-8e54-48dc8f24aea3","resolution":{"observed_at":"2026-08-07T12:56:37.201283Z","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":"2026-08-07T12:56:36.975522Z","title":"Image restoration via frequency selection.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 46(2):1093–1108, 2024","venue":null,"work_id":"89382888-1dc8-46c5-9527-d6a479556a93","year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.193611Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:5115d08222a83c552037c43aaa7f321a4fc8c45ebdbbc9e11f65608379359a90","observation_id":"9d547e7b-4046-48c4-b01f-ddb420743444","resolution":{"observed_at":"2026-08-07T12:56:37.044078Z","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":"2026-08-07T12:56:36.821712Z","title":"Changes in the objective amplitude of accommodation with pupil size.Optometry and Vision Science, 91(10):1215–1220, 2014","venue":null,"work_id":"bdcc1f54-22ac-42fd-b4c2-c8d804f67286","year":2014},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.198317Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:b9d48f8f508fbf3cd17b1f19e4d3087d9a1324e235f4af9848cdd52dc330e799","observation_id":"6580b657-890a-478b-b91f-9e97a5f9c53c","resolution":{"observed_at":"2026-08-07T12:56:36.889885Z","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":"2026-08-07T12:56:36.642189Z","title":"Photoreceptor contributions to the human pupil light reflex.Journal of Photochemistry and Photobiology, 15:100178, 2023","venue":null,"work_id":"a55608ed-e4d6-483e-9418-5a99387fe155","year":2023},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.203231Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:f24f15d0b6b905a1491fde228f85def95c41710532039f3d142a5f15a1faf3b2","observation_id":"5e390ef9-c72c-423b-812b-40306c9c7e0f","resolution":{"observed_at":"2026-08-07T12:56:36.711445Z","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":"2026-08-07T12:56:36.605344Z","title":"EnlightenGAN: Deep light enhancement without paired supervision.IEEE Transactions on Image Process- ing, 30:2340–2349, 2021","venue":null,"work_id":"40f63b87-415f-40f9-b58b-df2993940911","year":2021},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.208549Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:225e5697aa0a9b4e9e9e7b6d150e0f690585667a52702133bf84b7607138a28f","observation_id":"52472d8f-a857-4a6f-a318-62c9329812b4","resolution":{"observed_at":"2026-08-07T12:56:36.619663Z","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":"2026-08-07T12:56:36.577990Z","title":"UCTransNet: Rethinking the skip connections in U-Net from a channel-wise perspective with transformer","venue":null,"work_id":"42ae58c7-8559-4c5d-ae8f-19a1d0127b31","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.213070Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:90c25e8b33f2096f3baa38daaf9f24e6a87de2cdf4c3369401f250e6c64fdc2a","observation_id":"dca76389-1c7d-4bcc-8296-8dfd8bbaf804","resolution":{"observed_at":"2026-08-07T12:56:36.589276Z","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":"2026-08-07T12:56:36.554456Z","title":"Going deeper with convolutions","venue":null,"work_id":"f357b9c1-9fa0-4964-b64b-3dd722e90876","year":2015},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.217883Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:502621dbce83279122e33c1c43ef69dd18a3a744b7cac4e674f0fb3f9976abea","observation_id":"8776c21d-3563-450b-b978-531039a149de","resolution":{"observed_at":"2026-08-07T12:56:36.564689Z","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":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T12:56:36.222664Z","title":"Adam: A method for stochastic optimization.arXiv preprint arXiv:1412.6980,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.222664Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:92a47eda57dbad04bde9e413bb736b71b69381f2f795e4f99f0832f1c209aca5","observation_id":"d119d238-3fb6-4414-a875-250d6e83f423","resolution":{"observed_at":"2026-08-07T12:56:36.222664Z","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":"2026-08-07T12:56:36.526702Z","title":"Scope of valid- ity of PSNR in image/video quality assessment.Electronics Letters, 44:800–801, 2008","venue":null,"work_id":"08742773-65c6-408c-a870-3e188ecf66cc","year":2008},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.228051Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:4066a2fb6440e0e1e3f106dcb6e1d07b426236a38705fc6440118dc041eb9978","observation_id":"a9b0c361-1784-4c6b-be68-b59c9bf333f2","resolution":{"observed_at":"2026-08-07T12:56:36.537514Z","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":"2026-08-07T12:56:36.493791Z","title":"Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004","venue":null,"work_id":"d91561e5-f8f3-42ff-a4cc-dc6b975ca4b3","year":2004},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.232997Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:56d9b69459df29547152bec0311a26d1e40e7a4ca81e4c9527f1234ebe714245","observation_id":"f1fa6907-b9b7-46fa-81e1-94f304624a69","resolution":{"observed_at":"2026-08-07T12:56:36.507477Z","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":"2026-08-07T12:56:36.239383Z","title":"Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE Transactions on Image Processing, 30:2072–2086, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.239383Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:045c562f8e5541f9e998ca8fde6f3ae75efa051ae521f21491d17623d0b10e84","observation_id":"690df8e5-63c8-46e8-8c07-44b729550eac","resolution":{"observed_at":"2026-08-07T12:56:36.239383Z","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":"2026-08-07T12:56:36.446957Z","title":"Learning to see in the dark","venue":null,"work_id":"88c24a3b-2f5f-430d-b310-1123d76752bf","year":2018},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.243898Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:dadd4eff52ecff937724cfc3d648028f684df23a8791263e6684b481cb45bb99","observation_id":"ca16c3e9-d9cf-4b61-bf21-8fa2fd9a3a74","resolution":{"observed_at":"2026-08-07T12:56:36.455388Z","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":"2026-08-07T12:56:36.428186Z","title":"Seeing dynamic scene in the dark: A high- quality video dataset with mechatronic alignment","venue":null,"work_id":"06ba23e0-c963-471d-9ccd-7af4c855b345","year":2021},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.248701Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:40cc74352c8ed2687c9a2e8ca3c948e7945eb6aba9c959ac85e93c77c092542e","observation_id":"2f4ad2ea-d7dd-4c62-8b13-1e8977e1bb67","resolution":{"observed_at":"2026-08-07T12:56:36.434177Z","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":"2026-08-07T12:56:36.411197Z","title":"Learning photographic global tonal adjustment with a database of input/output image pairs","venue":null,"work_id":"630b1b30-71f5-4007-8005-856fc3fb6568","year":2011},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.253389Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:9249b72ebbb991493e4704c744d414e285fa1a08a685fcecbd05c9909926ac14","observation_id":"77661e5b-77b0-4a74-8740-58c021863060","resolution":{"observed_at":"2026-08-07T12:56:36.416269Z","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":"2026-08-07T12:56:36.393455Z","title":"Learning with nested scene modeling and co- operative architecture search for low-light vision.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:5953–5969, 2022","venue":null,"work_id":"51544c12-f4ab-4299-b011-b84215e757a3","year":2022},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.259403Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:bd5c3fef9f9653359826d1e1038fccbb4889dbce3864d1b99bb3c40a3f068778","observation_id":"b6218aed-9138-4cec-976a-f7f4c39dbf91","resolution":{"observed_at":"2026-08-07T12:56:36.399025Z","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":"2026-08-07T12:56:36.373818Z","title":"GLARE: Low light image enhancement via generative latent feature based codebook retrieval","venue":null,"work_id":"9a87a239-13b2-4ff5-87ad-05d2c3767ec8","year":2024},"citing_paper":{"arxiv_id":"2505.23068","last_updated":"2025-05-29T04:17:09Z","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:36.265147Z"},"links":{"citing_paper":"/paper/2505.23068"},"observation_digest":"sha256:04455828f5250f623f8f1089e42e63c4f5e70a33497e0542cc8109eb588cfe36","observation_id":"286e5428-9fc8-4b1e-a23d-239b8978f606","resolution":{"observed_at":"2026-08-07T12:56:36.380644Z","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":"2505.23068","last_updated":"2025-05-29T04:17:09Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T09:03:49.038308Z","submitted_at":"2025-05-29T04:17:09Z","title":"URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":46},"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 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.23068."}