{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DD7CKVTTZ4EPGFMTY6PKGX4EZZ","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":"00108f3809504ea018184c7f1e664468bc2d1b85c439045d4e3d6c77c5a9ebdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:03Z","title_canon_sha256":"94db574b0acb1f1832f70fadad0f658636ac21969926b108a4b7d8508767f78e"},"schema_version":"1.0","source":{"id":"2303.09153","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09153","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09153v1","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09153","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_12","alias_value":"DD7CKVTTZ4EP","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_16","alias_value":"DD7CKVTTZ4EPGFMT","created_at":"2026-07-05T05:51:49Z"},{"alias_kind":"pith_short_8","alias_value":"DD7CKVTT","created_at":"2026-07-05T05:51:49Z"}],"graph_snapshots":[{"event_id":"sha256:c874040de05431b596a6fbcc8b5319ceb99bf1d6d8b56b387008da9d0ba761c3","target":"graph","created_at":"2026-07-05T05:51:49Z","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/2303.09153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present an image dehazing algorithm with high quality, wide application, and no data training or prior needed. We analyze the defects of the original dehazing model, and propose a new and reliable dehazing reconstruction and dehazing model based on the combination of optical scattering model and computer graphics lighting rendering model. Based on the new haze model and the images obtained by the cameras, we can reconstruct the three-dimensional space, accurately calculate the objects and haze in the space, and use the transparency relationship of haze to perform accurate haze removal. To o","authors_text":"Huajun Feng, Qi Li, Shiqi Chen, Yueting Chen, Zheyan Jin, Zhihai Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:03Z","title":"Reliable Image Dehazing by NeRF"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09153","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:a7bde1a26c317e778cdc2088cfd41bcea8f775e4cc6f6d64db978ae7f6243a7e","target":"record","created_at":"2026-07-05T05:51:49Z","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":"00108f3809504ea018184c7f1e664468bc2d1b85c439045d4e3d6c77c5a9ebdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T08:34:03Z","title_canon_sha256":"94db574b0acb1f1832f70fadad0f658636ac21969926b108a4b7d8508767f78e"},"schema_version":"1.0","source":{"id":"2303.09153","kind":"arxiv","version":1}},"canonical_sha256":"18fe255673cf08f31593c79ea35f84ce4022b9864136529b720ec5e3ec1bb013","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18fe255673cf08f31593c79ea35f84ce4022b9864136529b720ec5e3ec1bb013","first_computed_at":"2026-07-05T05:51:49.484200Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:49.484200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0py+ZguxI0cByF4kU1obza+t0T8f1nmK/t+TXTBTgo1V8woERAd397JB1heN3BoecPjZBOte0dBJH4P5AjHqCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:49.484642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.09153","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7bde1a26c317e778cdc2088cfd41bcea8f775e4cc6f6d64db978ae7f6243a7e","sha256:c874040de05431b596a6fbcc8b5319ceb99bf1d6d8b56b387008da9d0ba761c3"],"state_sha256":"d37260e74885c9a0c2ebcca743a1a5d83c39e6175ee7734316baa8f44dd4ffc2"}