{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PFMHUZOEWQSDTMCT6EZUUTDOSH","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":"d536631da63a59df4d8290b628b2e4ec49cf7ce98d90826fac6d6f8f19d0d083","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T05:34:51Z","title_canon_sha256":"89c24405a48e6304e2f964e7666f5ae8e5b25d08d9312b9167cd2a76d616e0da"},"schema_version":"1.0","source":{"id":"2103.00762","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00762","created_at":"2026-07-05T02:19:09Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00762v1","created_at":"2026-07-05T02:19:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00762","created_at":"2026-07-05T02:19:09Z"},{"alias_kind":"pith_short_12","alias_value":"PFMHUZOEWQSD","created_at":"2026-07-05T02:19:09Z"},{"alias_kind":"pith_short_16","alias_value":"PFMHUZOEWQSDTMCT","created_at":"2026-07-05T02:19:09Z"},{"alias_kind":"pith_short_8","alias_value":"PFMHUZOE","created_at":"2026-07-05T02:19:09Z"}],"graph_snapshots":[{"event_id":"sha256:e114bb8ff0ac654c42035cb4aafa42625f7f6da50d5e4726914527bf2553f94c","target":"graph","created_at":"2026-07-05T02:19:09Z","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/2103.00762/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent work has demonstrated that volumetric scene representations combined with differentiable volume rendering can enable photo-realistic rendering for challenging scenes that mesh reconstruction fails on. However, these methods entangle geometry and appearance in a \"black-box\" volume that cannot be edited. Instead, we present an approach that explicitly disentangles geometry--represented as a continuous 3D volume--from appearance--represented as a continuous 2D texture map. We achieve this by introducing a 3D-to-2D texture mapping (or surface parameterization) network into volumetric repres","authors_text":"Fanbo Xiang, Hao Su, Kalyan Sunkavalli, Milo\\v{s} Ha\\v{s}an, Yannick Hold-Geoffroy, Zexiang Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T05:34:51Z","title":"NeuTex: Neural Texture Mapping for Volumetric Neural Rendering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00762","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:e44f65485b1446c9bf895e8fcd816c34d158c0b4fccf9e90bb46f3130c9d230f","target":"record","created_at":"2026-07-05T02:19:09Z","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":"d536631da63a59df4d8290b628b2e4ec49cf7ce98d90826fac6d6f8f19d0d083","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T05:34:51Z","title_canon_sha256":"89c24405a48e6304e2f964e7666f5ae8e5b25d08d9312b9167cd2a76d616e0da"},"schema_version":"1.0","source":{"id":"2103.00762","kind":"arxiv","version":1}},"canonical_sha256":"79587a65c4b42439b053f1334a4c6e91d430a3ea8e7d010341e00a20d468dbd7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79587a65c4b42439b053f1334a4c6e91d430a3ea8e7d010341e00a20d468dbd7","first_computed_at":"2026-07-05T02:19:09.160634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:19:09.160634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0LiNN2jvyzlXbSCOs0z2uhq6CGvTuZeUkSYE0sfsufSoSZcCajAzgy1StP3kiwVHx0ogwFJ7rG0oyXmxS1nsBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:19:09.161089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.00762","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e44f65485b1446c9bf895e8fcd816c34d158c0b4fccf9e90bb46f3130c9d230f","sha256:e114bb8ff0ac654c42035cb4aafa42625f7f6da50d5e4726914527bf2553f94c"],"state_sha256":"1e3b6c28ea15d759c1ccd36a4d840f9e29dc74bb636982d3cc082fc3b63cbca8"}