{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J4RNW3X4WFWBZTPRXS3TYO3HLQ","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":"6b5ebca9d429c558854ab4ac7bda093dd15f58981d53a0c64a13d26eaae46515","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-17T12:31:03Z","title_canon_sha256":"f12f3c9785e7b776337f6e2a8fbbd00dd46c32bbe5b9bd08c85e79f414184e9b"},"schema_version":"1.0","source":{"id":"2406.11469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11469","created_at":"2026-07-05T08:32:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11469v1","created_at":"2026-07-05T08:32:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11469","created_at":"2026-07-05T08:32:53Z"},{"alias_kind":"pith_short_12","alias_value":"J4RNW3X4WFWB","created_at":"2026-07-05T08:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"J4RNW3X4WFWBZTPR","created_at":"2026-07-05T08:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"J4RNW3X4","created_at":"2026-07-05T08:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:c53a17f75ea7666df8b0001df797a5c0bd856702ddf535ff0d3fc7e7f7296174","target":"graph","created_at":"2026-07-05T08:32:53Z","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/2406.11469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based ISP algorithms have demonstrated significant potential in raw2rgb reconstruction. However, existing networks have not fully considered the specific characteristics of raw data, such as black level and CFA, which can negatively impact texture and color if mishandled. Moreover, uneven exposure in raw data is also not considered carefully, leading to adverse effects on contrast and brightness. In this paper, we introduce RMFA-Net to tackle these problems. We perform implicit black level correction to mitigate color shifts in dim scenes. To preserve high-frequency information a","authors_text":"Fei Li, Peng Jia, Wenbo Hou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-17T12:31:03Z","title":"RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11469","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:f0bebdab9acb545eb511cc069e42f68b1839c50c52bf5017d140aa1697147419","target":"record","created_at":"2026-07-05T08:32:53Z","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":"6b5ebca9d429c558854ab4ac7bda093dd15f58981d53a0c64a13d26eaae46515","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-17T12:31:03Z","title_canon_sha256":"f12f3c9785e7b776337f6e2a8fbbd00dd46c32bbe5b9bd08c85e79f414184e9b"},"schema_version":"1.0","source":{"id":"2406.11469","kind":"arxiv","version":1}},"canonical_sha256":"4f22db6efcb16c1ccdf1bcb73c3b675c1a2a1e1b00b6b5fb400dfa5caffbdec0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f22db6efcb16c1ccdf1bcb73c3b675c1a2a1e1b00b6b5fb400dfa5caffbdec0","first_computed_at":"2026-07-05T08:32:53.712744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:32:53.712744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/PloAXIJCVr11VyKcsoujKnjSRojwxUmoIMTWdelzq3eXvTiikqvTDBigjge9GTUjxA3R3SdLuVxGHahrdvtBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:32:53.713194Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0bebdab9acb545eb511cc069e42f68b1839c50c52bf5017d140aa1697147419","sha256:c53a17f75ea7666df8b0001df797a5c0bd856702ddf535ff0d3fc7e7f7296174"],"state_sha256":"7240ff3b6b9df422eb3b2dcc154d8b1ed305751aba9a608a9d48b6c3bbe1cb23"}