{"as_of":"2026-08-18T12:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b0a58a03874c7fe25adb50f06999c63e68ce041ff52cfea6cc18f83313f93603","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":"2026-08-05T13:08:15.664170Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:08:15.550360Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:08:15.822483Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"cited_work":{"arxiv_id":"2509.00917","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.00917","snapshot_observed_at":"2026-08-05T13:08:15.822483Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","venue":"cs.CV","work_id":"e0a8568b-47d0-4602-aeb3-6223967d178e","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.550360Z"},"links":{"cited_paper":"/paper/2509.00917","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:a77ded35e7fe01ce04d8c045e4680731d0d02d502eeab410c6e8db2c16f8c27b","observation_id":"13578e76-ddf3-4e05-bf3d-c865204d48b3","resolution":{"observed_at":"2026-08-05T13:08:15.828164Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.00917/citation-record","integrity":"/paper/2509.00917/integrity","json":"/paper/2509.00917/citation-record.json","paper":"/paper/2509.00917"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"cited_work":{"arxiv_id":"2509.00917","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.00917","snapshot_observed_at":"2026-08-05T13:08:15.822483Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","venue":"cs.CV","work_id":"e0a8568b-47d0-4602-aeb3-6223967d178e","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.550360Z"},"links":{"cited_paper":"/paper/2509.00917","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:a77ded35e7fe01ce04d8c045e4680731d0d02d502eeab410c6e8db2c16f8c27b","observation_id":"13578e76-ddf3-4e05-bf3d-c865204d48b3","resolution":{"observed_at":"2026-08-05T13:08:15.828164Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.104777Z","title":"Overall Framework DarkVRAI is designed as a two-stage pipeline consisting of frame alignment, followed by denoising, as illustrated in Fig","venue":null,"work_id":"4496a11b-2f74-4fe2-a43d-3b00e07df6f2","year":null},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.556212Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:1cfe3e8a3dc112af03b011ac92eda988aebb258a6eecc83c2be2b6597d4757c1","observation_id":"53631133-3497-4913-b648-1f916d1ec641","resolution":{"observed_at":"2026-08-05T13:08:16.109391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.089972Z","title":"Experimental Setup Dataset","venue":null,"work_id":"94e5ea0c-79fa-4b42-aa4d-b44ffd99398a","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.561194Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:3b79052a0a67a663de124f8e3eedf8e7224304161e9f0306389f5e890d4f3623","observation_id":"a8baef3c-2a70-4d28-8651-7baa3cb79a90","resolution":{"observed_at":"2026-08-05T13:08:16.094464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.073398Z","title":"We have addressed the fundamental difficulties of this task—severe noise, motion, and sensor-specific degra- dations—through a novel two-stage framework","venue":null,"work_id":"2558f26f-b614-4d62-a348-41abac5635d7","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.566430Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:c31528114b04ea1b7eb8decdbe56541f21bf10085214a6a7a8900d3fb2cdb414","observation_id":"02b51154-7aa6-4bbc-8de1-fb22994c3cdd","resolution":{"observed_at":"2026-08-05T13:08:16.078502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.056569Z","title":"A physics-based noise formation model for extreme low-light raw denoising,","venue":null,"work_id":"7b0a8e7c-26eb-4387-913a-d354f26f18e4","year":2020},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.571231Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:734a7806e97f8bf1cac2598ecba41b2c9e83fc7568457c69a34847abb2f1c757","observation_id":"3aee09a2-fc1a-45fc-ac63-7116d34feed5","resolution":{"observed_at":"2026-08-05T13:08:16.062450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.040249Z","title":"Toward efficient deep blind raw image restoration,","venue":null,"work_id":"ba99a6ab-92cc-4d33-8d34-76c32f2a2500","year":2024},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.576126Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:ba97c772568f1b272bed63a18365361d6cca0bd9b9033e4626fdd8ded90c78dc","observation_id":"5f2416ec-977c-40ae-86d1-3285ff0b0e66","resolution":{"observed_at":"2026-08-05T13:08:16.045135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.025512Z","title":"A high-quality denoising dataset for smart- phone cameras,","venue":null,"work_id":"ed884356-ac66-43d8-9253-e226e3033657","year":2018},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.580941Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:3f2fc26dd40ff5a9f916274d9e4cadba96b3393763eb8d58568e9bb95d15c63a","observation_id":"f702276a-4a20-4fd4-ae2f-c75848ad5c67","resolution":{"observed_at":"2026-08-05T13:08:16.030073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:16.008904Z","title":"Benchmarking denois- ing algorithms with real photographs,","venue":null,"work_id":"6a9ab68e-547c-44d4-8149-7bafe5e161fc","year":2017},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.585914Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:1dae4a3a0ac260199c86d18b55aa7a6741a4d0894707012f3317bda325cee302","observation_id":"9df19c02-be98-4035-80b2-da56f53b68ba","resolution":{"observed_at":"2026-08-05T13:08:16.013778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.990120Z","title":"AIM 2025 low-light raw video denois- ing challenge: Dataset, methods and results,","venue":null,"work_id":"2ed378a6-c841-4f71-b5b7-79f3774cceef","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.590401Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:297b0631c6c7ab214a103495b3b8ca8a6d024b079500593e397efa7e69ac2185","observation_id":"223da073-3319-45fa-9b3d-498e7f920a9f","resolution":{"observed_at":"2026-08-05T13:08:15.995854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01587","last_updated":"2025-08-28T14:37:33Z","snapshot_observed_at":"2026-08-15T17:44:09.117308Z","submitted_at":"2025-07-02T10:57:33Z","title":"Towards Controllable Real Image Denoising with Camera Parameters","version":2},"cited_work":{"arxiv_id":"2507.01587","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.01587","snapshot_observed_at":"2026-08-05T13:08:15.798789Z","title":"Towards Controllable Real Image Denoising with Camera Parameters","venue":"cs.CV","work_id":"f1138030-00b7-4c95-9c7d-8b588cf016da","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.594746Z"},"links":{"cited_paper":"/paper/2507.01587","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:171f815a234ffaec9b31d1c0b0bba408827b76cf479d4e4df771f212ac315616","observation_id":"68f09e95-671c-45e2-a92c-e5a77657dfdc","resolution":{"observed_at":"2026-08-05T13:08:15.803901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.973681Z","title":"Scalable diffu- sion models with transformers,","venue":null,"work_id":"525d316d-fcd9-46da-b2e9-b43a28e48c09","year":2023},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.599922Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:bb0e65e48281d3aaa070d74e40d647d7ed440e8b9d253d4e44e0cd024575de2e","observation_id":"03ee31bd-9b56-4c89-b726-6f968a87a163","resolution":{"observed_at":"2026-08-05T13:08:15.978860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-15T04:53:45.483331Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-05T13:08:15.604319Z","title":"Layer normalization,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.604319Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:e3a0bbad341918010a00a1eb2d43b17836b933d3397824b428167d6acaf2504a","observation_id":"14ff85d5-d8d8-4c2a-9211-69e5dde56fed","resolution":{"observed_at":"2026-08-05T13:08:15.604319Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.609598Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.609598Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:402a03d9594711bfb69c20d0b90e4de7d9ec3b2bba5c7b585bf17478362fa298","observation_id":"9b37705e-931d-49e8-9d7d-133bc60df2c3","resolution":{"observed_at":"2026-08-05T13:08:15.609598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-05T13:08:15.613769Z","title":"Mamba: Linear-time sequence modeling with selective state spaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.613769Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:e9f3cd33c056817b5b762585b2ca459ad5b55082dc672dc39454510f44edb5f2","observation_id":"71040320-11f1-4d80-8343-51912b20fa66","resolution":{"observed_at":"2026-08-05T13:08:15.613769Z","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":"2026-08-05T13:08:15.948076Z","title":"Cbam: Convolutional block attention module,","venue":null,"work_id":"c32d1db7-2f7c-47e3-845b-163f9ac9b26e","year":2018},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.618607Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:cbee3f37b14768d6cfbf48ec162b1f23f495a82fcc6aac36dd004af3886f0729","observation_id":"85817259-75bd-46e6-8189-e2ed537abd96","resolution":{"observed_at":"2026-08-05T13:08:15.952788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.933164Z","title":"Mambair: A simple baseline for image restoration with state-space model,","venue":null,"work_id":"9fe4766e-631e-40c3-8090-b4419101066f","year":2024},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.623236Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:69b733eed9b20e9685c91613b0e46d950549f10fdb0390820e339f7d27f1d8c5","observation_id":"94400a33-f931-4957-93c4-c7a370869008","resolution":{"observed_at":"2026-08-05T13:08:15.937864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.917256Z","title":"Burstormer: Burst image restoration and enhancement transformer,","venue":null,"work_id":"66fc0f8d-49a9-41cf-a215-9b94f3840f00","year":2023},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.627672Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:72ee4ad0c7857e2186cd849f2387ea33301d5e40c20fb953f12084d86e8c5236","observation_id":"8e37d2cc-c0bc-45f0-95d9-18dbd64b1452","resolution":{"observed_at":"2026-08-05T13:08:15.922232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.632116Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.632116Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:62bb798b5881e857116b5f9c1dc9a0e8b8d21ed18c301691d819a7d84ae3384b","observation_id":"cec01387-003e-41cb-939d-519083e24e86","resolution":{"observed_at":"2026-08-05T13:08:15.632116Z","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":"2026-08-05T13:08:15.890428Z","title":"Simple baselines for image restoration,","venue":null,"work_id":"4e6ed7c2-0921-4d9e-b2ca-cb05e39e9c7a","year":2022},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.636676Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:0e864a9ab3c02cd359b50f5acbe380dbe8c6666e26e378f3a2ebcdf5f149c5da","observation_id":"b1e0b011-d747-4f6e-96bd-f244b262a281","resolution":{"observed_at":"2026-08-05T13:08:15.895341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.874234Z","title":"Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform,","venue":null,"work_id":"bb3204d6-0e79-49cd-a318-352f211d2705","year":2022},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.641038Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:b2a89dd263918f5ae69b7b72c860c7d8abb4b756f63c3cac4d32d7b52a6ea0a9","observation_id":"ce28461f-7562-40ae-8f41-9e06da4f9068","resolution":{"observed_at":"2026-08-05T13:08:15.878984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","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":"2026-08-05T13:08:15.645740Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.645740Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:477da26f41ccb15fcb0b63ab189e1f4e20c245c3125889a725360bd3ad4b06be","observation_id":"5f323e0c-7af3-4caa-bf78-de6fe3eebb37","resolution":{"observed_at":"2026-08-05T13:08:15.645740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.03983","last_updated":"2017-05-03T16:28:09Z","snapshot_observed_at":"2026-07-06T05:06:55.589962Z","submitted_at":"2016-08-13T13:46:05Z","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.03983","snapshot_observed_at":"2026-08-05T13:08:15.650352Z","title":"Sgdr: Stochastic gradient descent with warm restarts,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.650352Z"},"links":{"cited_paper":"/paper/1608.03983","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:bd83a3b4264e730f8d4e7e4bbfbf47bc5b95abdc44eb4a785ebc3c4fee0cf2a4","observation_id":"d73fbd25-b1bb-487c-8931-5a2b524e2a46","resolution":{"observed_at":"2026-08-05T13:08:15.650352Z","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":"2026-08-05T13:08:15.856543Z","title":"Multiscale structural similarity for image quality as- sessment,","venue":null,"work_id":"5962ddff-95d0-4a34-b082-2e25bcc3fa9c","year":2003},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.655240Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:f15c37f04a5961378eac7925628a105aa3a25b1db1e38ab42b0e54a834b867d5","observation_id":"121240a3-027e-474e-a988-19bdf4ccb37b","resolution":{"observed_at":"2026-08-05T13:08:15.862020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03645","last_updated":"2025-06-04T07:40:48Z","snapshot_observed_at":"2026-08-14T20:21:32.071565Z","submitted_at":"2025-06-04T07:40:48Z","title":"YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency","version":1},"cited_work":{"arxiv_id":"2506.03645","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.03645","snapshot_observed_at":"2026-08-05T13:08:15.702031Z","title":"YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency","venue":"cs.CV","work_id":"9e3e9e97-dacc-45d9-a8c7-b329d50f0874","year":2025},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.659778Z"},"links":{"cited_paper":"/paper/2506.03645","citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:27eb0f081ad1518735fa66a4d32984c34ac30e5a8337b6b98469f55abb7b87d5","observation_id":"2657cfb3-4274-4dfb-92ac-5ee497c89112","resolution":{"observed_at":"2026-08-05T13:08:15.709557Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:08:15.840146Z","title":"Restormer: Efficient transformer for high- resolution image restoration,","venue":null,"work_id":"327ccf2c-aeca-4349-9434-a83865a5615d","year":2022},"citing_paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:08:15.664170Z"},"links":{"citing_paper":"/paper/2509.00917"},"observation_digest":"sha256:3f335cbd7d2578d2149ef1ba9542c62f86ebb256e67e994d6cf7e6d562e2721a","observation_id":"d4295f74-806c-43ce-8879-625e13e06798","resolution":{"observed_at":"2026-08-05T13:08:15.845577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00917","last_updated":"2025-08-31T16:03:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T03:06:21.822172Z","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":16},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2509.00917."}