{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NX4TBQABGEAJNPZR72ACSOCADP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f049e0a83a0102c41a76d24e3053078c36c4c336118602ea65a17ed1e9f4bd1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-31T16:03:33Z","title_canon_sha256":"f4f4126bb8e857a51353518bfcd0d04dfb1a3acfe8fba1d69ed5fd2da0a67342"},"schema_version":"1.0","source":{"id":"2509.00917","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00917","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00917v1","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00917","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"NX4TBQABGEAJ","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"NX4TBQABGEAJNPZR","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"NX4TBQAB","created_at":"2026-07-05T12:02:24Z"}],"graph_snapshots":[{"event_id":"sha256:74c52fb6d9a4f53eda2a2875047e60767e50fdad6f8854bfc20458da89d3b1e0","target":"graph","created_at":"2026-07-05T12:02:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.00917/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-light RAW video denoising is a fundamentally challenging task due to severe signal degradation caused by high sensor gain and short exposure times, which are inherently limited by video frame rate requirements. To address this, we propose DarkVRAI, a novel framework that achieved first place in the AIM 2025 Low-light RAW Video Denoising Challenge. Our method introduces two primary contributions: (1) a successful application of a conditioning scheme for image denoising, which explicitly leverages capture metadata, to video denoising to guide the alignment and denoising processes, and (2) a ","authors_text":"Junhyeong Kwon, Junyoung Park, Nam Ik Cho, Youngjin Oh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-31T16:03:33Z","title":"DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00917","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f4584c1fbf387a11fa49c898c30c46ea08cffeb3fd744f7ac92015d729fae83f","target":"record","created_at":"2026-07-05T12:02:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f049e0a83a0102c41a76d24e3053078c36c4c336118602ea65a17ed1e9f4bd1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-31T16:03:33Z","title_canon_sha256":"f4f4126bb8e857a51353518bfcd0d04dfb1a3acfe8fba1d69ed5fd2da0a67342"},"schema_version":"1.0","source":{"id":"2509.00917","kind":"arxiv","version":1}},"canonical_sha256":"6df930c001310096bf31fe802938401bc73f4a9852d5d0e4616023b9b97cd2d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6df930c001310096bf31fe802938401bc73f4a9852d5d0e4616023b9b97cd2d3","first_computed_at":"2026-07-05T12:02:24.665492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:24.665492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E+E57yXF5kJqhyPRP7f5ShSIuW1cPw+w+uQv2tVbcS/Usp57wJ/psiLdJCyaPnQbikHGU0GQJU5fk5R0RBBSAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:24.665909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00917","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4584c1fbf387a11fa49c898c30c46ea08cffeb3fd744f7ac92015d729fae83f","sha256:74c52fb6d9a4f53eda2a2875047e60767e50fdad6f8854bfc20458da89d3b1e0"],"state_sha256":"3fa0ae218d7db47b01797b3b034e3f41da8915aa09ba38f999be1b1eb7cec19e"}