{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:D5IINKFUXEUELPDGPDZVYE5TOD","short_pith_number":"pith:D5IINKFU","canonical_record":{"source":{"id":"2309.07640","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-14T12:05:29Z","cross_cats_sorted":[],"title_canon_sha256":"7c6046774c029fd8aa63b5738d3247240829787c1d4cb1b99d9dcce6736116d2","abstract_canon_sha256":"f1752728558815414528bdf55d0c43ea0798f1bab058d43ff233cadb3b9d90be"},"schema_version":"1.0"},"canonical_sha256":"1f5086a8b4b92845bc6678f35c13b370c69d38e592c54f8d1b99d87d9f62062d","source":{"kind":"arxiv","id":"2309.07640","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07640","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07640v3","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07640","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_12","alias_value":"D5IINKFUXEUE","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_16","alias_value":"D5IINKFUXEUELPDG","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_8","alias_value":"D5IINKFU","created_at":"2026-07-05T08:54:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:D5IINKFUXEUELPDGPDZVYE5TOD","target":"record","payload":{"canonical_record":{"source":{"id":"2309.07640","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-14T12:05:29Z","cross_cats_sorted":[],"title_canon_sha256":"7c6046774c029fd8aa63b5738d3247240829787c1d4cb1b99d9dcce6736116d2","abstract_canon_sha256":"f1752728558815414528bdf55d0c43ea0798f1bab058d43ff233cadb3b9d90be"},"schema_version":"1.0"},"canonical_sha256":"1f5086a8b4b92845bc6678f35c13b370c69d38e592c54f8d1b99d87d9f62062d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:43.855910Z","signature_b64":"ymldaiAJosQc9VDl2Xpu3b28U7WuTqcClIOTY+BpTVUMtT2n+fnvqw0vdSzJ1PR/yoYab8L+aNkIq0eTPB+5CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f5086a8b4b92845bc6678f35c13b370c69d38e592c54f8d1b99d87d9f62062d","last_reissued_at":"2026-07-05T08:54:43.855575Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:43.855575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.07640","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kxf38BBDJ+ZwctGqeY0LrzvP8zRwdtU5ippVcPfMIvGxOcoKyVd1GWBn1RaUGgPFd7V17fEHyQMg6HoIVGRYBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:12:10.939492Z"},"content_sha256":"33b43a04f58f4425aab412c37dd0942c9beda6fb60aa8ef479fbd5a7726c5a9d","schema_version":"1.0","event_id":"sha256:33b43a04f58f4425aab412c37dd0942c9beda6fb60aa8ef479fbd5a7726c5a9d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:D5IINKFUXEUELPDGPDZVYE5TOD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Matthieu Lin, Sheng Ye, Wang Zhao, Wenping Wang, Yong-jin Liu, Yubin Hu, Yu-Hui Wen","submitted_at":"2023-09-14T12:05:29Z","abstract_excerpt":"The reconstruction of indoor scenes from multi-view RGB images is challenging due to the coexistence of flat and texture-less regions alongside delicate and fine-grained regions. Recent methods leverage neural radiance fields aided by predicted surface normal priors to recover the scene geometry. These methods excel in producing complete and smooth results for floor and wall areas. However, they struggle to capture complex surfaces with high-frequency structures due to the inadequate neural representation and the inaccurately predicted normal priors. This work aims to reconstruct high-fidelity"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07640","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.07640/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O0TdKxBHUSOu0LuSeqGUQkW64O7Sr+l7Bizpvym7aX9Vw7R6R4Lkpi3siBcVU0HtMcK/Tm59EyhYIDlMXSSXAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:12:10.939871Z"},"content_sha256":"ab65b79746f217449348ed6cbc6d70b872020af6086b7550577d609fd928212e","schema_version":"1.0","event_id":"sha256:ab65b79746f217449348ed6cbc6d70b872020af6086b7550577d609fd928212e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D5IINKFUXEUELPDGPDZVYE5TOD/bundle.json","state_url":"https://pith.science/pith/D5IINKFUXEUELPDGPDZVYE5TOD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D5IINKFUXEUELPDGPDZVYE5TOD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T15:12:10Z","links":{"resolver":"https://pith.science/pith/D5IINKFUXEUELPDGPDZVYE5TOD","bundle":"https://pith.science/pith/D5IINKFUXEUELPDGPDZVYE5TOD/bundle.json","state":"https://pith.science/pith/D5IINKFUXEUELPDGPDZVYE5TOD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D5IINKFUXEUELPDGPDZVYE5TOD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:D5IINKFUXEUELPDGPDZVYE5TOD","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":"f1752728558815414528bdf55d0c43ea0798f1bab058d43ff233cadb3b9d90be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-14T12:05:29Z","title_canon_sha256":"7c6046774c029fd8aa63b5738d3247240829787c1d4cb1b99d9dcce6736116d2"},"schema_version":"1.0","source":{"id":"2309.07640","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07640","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07640v3","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07640","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_12","alias_value":"D5IINKFUXEUE","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_16","alias_value":"D5IINKFUXEUELPDG","created_at":"2026-07-05T08:54:43Z"},{"alias_kind":"pith_short_8","alias_value":"D5IINKFU","created_at":"2026-07-05T08:54:43Z"}],"graph_snapshots":[{"event_id":"sha256:ab65b79746f217449348ed6cbc6d70b872020af6086b7550577d609fd928212e","target":"graph","created_at":"2026-07-05T08:54:43Z","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/2309.07640/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The reconstruction of indoor scenes from multi-view RGB images is challenging due to the coexistence of flat and texture-less regions alongside delicate and fine-grained regions. Recent methods leverage neural radiance fields aided by predicted surface normal priors to recover the scene geometry. These methods excel in producing complete and smooth results for floor and wall areas. However, they struggle to capture complex surfaces with high-frequency structures due to the inadequate neural representation and the inaccurately predicted normal priors. This work aims to reconstruct high-fidelity","authors_text":"Matthieu Lin, Sheng Ye, Wang Zhao, Wenping Wang, Yong-jin Liu, Yubin Hu, Yu-Hui Wen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-14T12:05:29Z","title":"Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07640","kind":"arxiv","version":3},"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":"sha256:33b43a04f58f4425aab412c37dd0942c9beda6fb60aa8ef479fbd5a7726c5a9d","target":"record","created_at":"2026-07-05T08:54:43Z","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":"f1752728558815414528bdf55d0c43ea0798f1bab058d43ff233cadb3b9d90be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-14T12:05:29Z","title_canon_sha256":"7c6046774c029fd8aa63b5738d3247240829787c1d4cb1b99d9dcce6736116d2"},"schema_version":"1.0","source":{"id":"2309.07640","kind":"arxiv","version":3}},"canonical_sha256":"1f5086a8b4b92845bc6678f35c13b370c69d38e592c54f8d1b99d87d9f62062d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f5086a8b4b92845bc6678f35c13b370c69d38e592c54f8d1b99d87d9f62062d","first_computed_at":"2026-07-05T08:54:43.855575Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:43.855575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ymldaiAJosQc9VDl2Xpu3b28U7WuTqcClIOTY+BpTVUMtT2n+fnvqw0vdSzJ1PR/yoYab8L+aNkIq0eTPB+5CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:43.855910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.07640","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33b43a04f58f4425aab412c37dd0942c9beda6fb60aa8ef479fbd5a7726c5a9d","sha256:ab65b79746f217449348ed6cbc6d70b872020af6086b7550577d609fd928212e"],"state_sha256":"a42273e4f5bad5db852d732a1d7f30efa339c778dbac3a535098f1ce15238d72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4AuI7uOqr+WIjwJBh0ptIF+xb1lnvzKaWCqYXC1bMvrZOMSKfQus3CUgNmebZnux0gi16W01WlkJYkl2f0waCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:12:10.941885Z","bundle_sha256":"97d459a8d50dc2bf597db399a90b4324ddda25709cbabbda0b3913bcd445422b"}}