{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:A6L2GMSI7EZYY2CJUFSFTHPTMS","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":"2737acb43dff1676f12d6668a613f81072e6f42dfb0a696eb4bf82e001f45b46","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-01T14:59:43Z","title_canon_sha256":"0865928d9ab49151e53559334abda99070644a0db6bdf3ec7b6e42ca5b5f5d9a"},"schema_version":"1.0","source":{"id":"2312.00639","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00639","created_at":"2026-07-05T11:09:41Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00639v4","created_at":"2026-07-05T11:09:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00639","created_at":"2026-07-05T11:09:41Z"},{"alias_kind":"pith_short_12","alias_value":"A6L2GMSI7EZY","created_at":"2026-07-05T11:09:41Z"},{"alias_kind":"pith_short_16","alias_value":"A6L2GMSI7EZYY2CJ","created_at":"2026-07-05T11:09:41Z"},{"alias_kind":"pith_short_8","alias_value":"A6L2GMSI","created_at":"2026-07-05T11:09:41Z"}],"graph_snapshots":[{"event_id":"sha256:71d8f308e6bbd120921a4b3c91b5dcef054c082598a231684ce5d53fcdc158a0","target":"graph","created_at":"2026-07-05T11:09:41Z","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/2312.00639/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Planar scene representations have recently witnessed increased interests for modeling scenes from images, as their lightweight planar structure enables compatibility with image-based models. Notably, K-Planes have gained particular attention as they extend planar scene representations to support in-the-wild scenes, in addition to object-level scenes. However, their visual quality has recently lagged behind that of state-of-the-art techniques. To reduce this gap, we propose RefinedFields, a method that leverages pre-trained networks to refine K-Planes scene representations via optimization guid","authors_text":"Antoine Schnepf, Jean-Yves Franceschi, Jeremie Mary, Karim Kassab, Laurent Caraffa, Val\\'erie Gouet-Brunet","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-01T14:59:43Z","title":"RefinedFields: Radiance Fields Refinement for Planar Scene Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00639","kind":"arxiv","version":4},"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":"sha256:049ebe18ff036f1f34c095d46cfb10ac6763857d9cf7abf31050656243501c38","target":"record","created_at":"2026-07-05T11:09:41Z","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":"2737acb43dff1676f12d6668a613f81072e6f42dfb0a696eb4bf82e001f45b46","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-01T14:59:43Z","title_canon_sha256":"0865928d9ab49151e53559334abda99070644a0db6bdf3ec7b6e42ca5b5f5d9a"},"schema_version":"1.0","source":{"id":"2312.00639","kind":"arxiv","version":4}},"canonical_sha256":"0797a33248f9338c6849a164599df364a0f3edc16d60c09d86b756adac0d1b51","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0797a33248f9338c6849a164599df364a0f3edc16d60c09d86b756adac0d1b51","first_computed_at":"2026-07-05T11:09:41.640084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:41.640084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lu3bGO3Gqgt5nZspjIT9TDj+JlB+zv1+JIh392wAMfk1T7r0ITdHn8DLbSL/2WZVEe70aQZzx57GK/DNcya+DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:41.640593Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.00639","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:049ebe18ff036f1f34c095d46cfb10ac6763857d9cf7abf31050656243501c38","sha256:71d8f308e6bbd120921a4b3c91b5dcef054c082598a231684ce5d53fcdc158a0"],"state_sha256":"08ae31c1356d115e30fc47ecdaa345458c3cfcb680b5aaa983dc012f6cb43503"}