{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W7OLLLK5FCFM3L5JWM7UZ2AIE6","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":"1d7e0271791757b4bbda79243a851a7a1031fb2d3c761eabee129c8f78dada31","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T08:43:52Z","title_canon_sha256":"c5f69908aac6c979121a6a22196078aab3faa7e5bcd0c1be3d3bf6adec4cddba"},"schema_version":"1.0","source":{"id":"2412.08200","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08200","created_at":"2026-07-05T09:50:55Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08200v2","created_at":"2026-07-05T09:50:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08200","created_at":"2026-07-05T09:50:55Z"},{"alias_kind":"pith_short_12","alias_value":"W7OLLLK5FCFM","created_at":"2026-07-05T09:50:55Z"},{"alias_kind":"pith_short_16","alias_value":"W7OLLLK5FCFM3L5J","created_at":"2026-07-05T09:50:55Z"},{"alias_kind":"pith_short_8","alias_value":"W7OLLLK5","created_at":"2026-07-05T09:50:55Z"}],"graph_snapshots":[{"event_id":"sha256:d112472bbd00f09b51be72d671cf8f65ba039e8e7d1ab59afeb466a00665ae96","target":"graph","created_at":"2026-07-05T09:50:55Z","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/2412.08200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens system, presents a significant challenge in imaging. The diverse patterns of flares, such as halos, streaks, color bleeding, and haze, complicate the flare removal process. Existing traditional and learning-based methods have exhibited limited efficacy due to their reliance on single-image approaches, where flare removal is highly ill-posed. We address this by framing flare removal as a multi-view image problem, taking advantage of the view-dependent nature of flare artifacts. This approach leverages ","authors_text":"Gopi Raju Matta, Kaushik Mitra, Rahul Siddartha, Rongali Simhachala Venkata Girish, Sumit Sharma","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T08:43:52Z","title":"GN-FR:Generalizable Neural Radiance Fields for Flare Removal"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08200","kind":"arxiv","version":2},"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":"sha256:989cb6b9304bfa17e85613f7d40b4ffa22dfaddc5b7509b98672b29c829a37a1","target":"record","created_at":"2026-07-05T09:50:55Z","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":"1d7e0271791757b4bbda79243a851a7a1031fb2d3c761eabee129c8f78dada31","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T08:43:52Z","title_canon_sha256":"c5f69908aac6c979121a6a22196078aab3faa7e5bcd0c1be3d3bf6adec4cddba"},"schema_version":"1.0","source":{"id":"2412.08200","kind":"arxiv","version":2}},"canonical_sha256":"b7dcb5ad5d288acdafa9b33f4ce808279c1f4e6f8cf824758cc23e1f077433c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7dcb5ad5d288acdafa9b33f4ce808279c1f4e6f8cf824758cc23e1f077433c8","first_computed_at":"2026-07-05T09:50:55.353894Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:50:55.353894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tQrpJuliP6+2FRpz0RPSwvBjN63WiSkrHeeEzbVz2TINLFi4Z3/5KUeW9grGnoEvPFNrTs9eDyegrL7ff1QWAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:50:55.354342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08200","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:989cb6b9304bfa17e85613f7d40b4ffa22dfaddc5b7509b98672b29c829a37a1","sha256:d112472bbd00f09b51be72d671cf8f65ba039e8e7d1ab59afeb466a00665ae96"],"state_sha256":"456456fe8011e739be070479cc7514da78fec63752d1921d468ee580f0d5ad4a"}