{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CE66UIG4PRT6HN2RCNIEJIWMGA","short_pith_number":"pith:CE66UIG4","canonical_record":{"source":{"id":"2311.05289","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T11:32:49Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"8fb1c6ec69a289fa369ec8ec4147bc9cce88339622a15ca811e07497875e1645","abstract_canon_sha256":"c891fc36f08d2f7eecadc6debcc28b65ba1aa4e3725e802ed2c5ba4bdd2d0e8f"},"schema_version":"1.0"},"canonical_sha256":"113dea20dc7c67e3b751135044a2cc303aeb1761ceb67e32a60a5a4bc6864a2c","source":{"kind":"arxiv","id":"2311.05289","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05289","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05289v2","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05289","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"CE66UIG4PRT6","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"CE66UIG4PRT6HN2R","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"CE66UIG4","created_at":"2026-07-05T09:44:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CE66UIG4PRT6HN2RCNIEJIWMGA","target":"record","payload":{"canonical_record":{"source":{"id":"2311.05289","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T11:32:49Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"8fb1c6ec69a289fa369ec8ec4147bc9cce88339622a15ca811e07497875e1645","abstract_canon_sha256":"c891fc36f08d2f7eecadc6debcc28b65ba1aa4e3725e802ed2c5ba4bdd2d0e8f"},"schema_version":"1.0"},"canonical_sha256":"113dea20dc7c67e3b751135044a2cc303aeb1761ceb67e32a60a5a4bc6864a2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:06.044151Z","signature_b64":"t3ZXxuQEuypcJXortdQfT4QUz4qT1sWtaru2rcR2yYlMb8yzv6wDSPYOn97OzdbTWejplMXEz2kROZ9S2qaRDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"113dea20dc7c67e3b751135044a2cc303aeb1761ceb67e32a60a5a4bc6864a2c","last_reissued_at":"2026-07-05T09:44:06.043614Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:06.043614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.05289","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4q5iVGePEfEPjH65N1QRGszBgdWxrD394G2YVuy2OPfI91OkezangKZgG5sj8ZcZr/uN3dQiR4is1rfSqRRRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T08:54:44.128784Z"},"content_sha256":"40828ea4177f867c762f5a796031da9f8b103364376b91b8763594eb00fa0338","schema_version":"1.0","event_id":"sha256:40828ea4177f867c762f5a796031da9f8b103364376b91b8763594eb00fa0338"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CE66UIG4PRT6HN2RCNIEJIWMGA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Daniel Cremers, Nassir Navab, Niclas Zeller, Qing Cheng, Sen Wang, Shun-Cheng Wu, Stefano Gasperini, Wei Zhang","submitted_at":"2023-11-09T11:32:49Z","abstract_excerpt":"The generation of high-fidelity view synthesis is essential for robotic navigation and interaction but remains challenging, particularly in indoor environments and real-time scenarios. Existing techniques often require significant computational resources for both training and rendering, and they frequently result in suboptimal 3D representations due to insufficient geometric structuring. To address these limitations, we introduce VoxNeRF, a novel approach that utilizes easy-to-obtain geometry priors to enhance both the quality and efficiency of neural indoor reconstruction and novel view synth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05289","kind":"arxiv","version":2},"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/2311.05289/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":"2026-07-05T09:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ru97jki4kol3iDAH2mfcMKTs0BSsO0HghOxZAUccTMQyFbT1ZQ9nEmW1yWoi6ypewYTLD4soQSYQn31oLyAKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T08:54:44.129162Z"},"content_sha256":"206a548e0be5b0d6f8bf9759cfaa22b5d2c8256f5d4e9e249ff77ed080094e67","schema_version":"1.0","event_id":"sha256:206a548e0be5b0d6f8bf9759cfaa22b5d2c8256f5d4e9e249ff77ed080094e67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/bundle.json","state_url":"https://pith.science/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/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":"2026-07-13T08:54:44Z","links":{"resolver":"https://pith.science/pith/CE66UIG4PRT6HN2RCNIEJIWMGA","bundle":"https://pith.science/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/bundle.json","state":"https://pith.science/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CE66UIG4PRT6HN2RCNIEJIWMGA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CE66UIG4PRT6HN2RCNIEJIWMGA","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":"c891fc36f08d2f7eecadc6debcc28b65ba1aa4e3725e802ed2c5ba4bdd2d0e8f","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T11:32:49Z","title_canon_sha256":"8fb1c6ec69a289fa369ec8ec4147bc9cce88339622a15ca811e07497875e1645"},"schema_version":"1.0","source":{"id":"2311.05289","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05289","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05289v2","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05289","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"CE66UIG4PRT6","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_16","alias_value":"CE66UIG4PRT6HN2R","created_at":"2026-07-05T09:44:06Z"},{"alias_kind":"pith_short_8","alias_value":"CE66UIG4","created_at":"2026-07-05T09:44:06Z"}],"graph_snapshots":[{"event_id":"sha256:206a548e0be5b0d6f8bf9759cfaa22b5d2c8256f5d4e9e249ff77ed080094e67","target":"graph","created_at":"2026-07-05T09:44:06Z","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/2311.05289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The generation of high-fidelity view synthesis is essential for robotic navigation and interaction but remains challenging, particularly in indoor environments and real-time scenarios. Existing techniques often require significant computational resources for both training and rendering, and they frequently result in suboptimal 3D representations due to insufficient geometric structuring. To address these limitations, we introduce VoxNeRF, a novel approach that utilizes easy-to-obtain geometry priors to enhance both the quality and efficiency of neural indoor reconstruction and novel view synth","authors_text":"Daniel Cremers, Nassir Navab, Niclas Zeller, Qing Cheng, Sen Wang, Shun-Cheng Wu, Stefano Gasperini, Wei Zhang","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T11:32:49Z","title":"VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05289","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":"sha256:40828ea4177f867c762f5a796031da9f8b103364376b91b8763594eb00fa0338","target":"record","created_at":"2026-07-05T09:44:06Z","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":"c891fc36f08d2f7eecadc6debcc28b65ba1aa4e3725e802ed2c5ba4bdd2d0e8f","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-09T11:32:49Z","title_canon_sha256":"8fb1c6ec69a289fa369ec8ec4147bc9cce88339622a15ca811e07497875e1645"},"schema_version":"1.0","source":{"id":"2311.05289","kind":"arxiv","version":2}},"canonical_sha256":"113dea20dc7c67e3b751135044a2cc303aeb1761ceb67e32a60a5a4bc6864a2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"113dea20dc7c67e3b751135044a2cc303aeb1761ceb67e32a60a5a4bc6864a2c","first_computed_at":"2026-07-05T09:44:06.043614Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:06.043614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t3ZXxuQEuypcJXortdQfT4QUz4qT1sWtaru2rcR2yYlMb8yzv6wDSPYOn97OzdbTWejplMXEz2kROZ9S2qaRDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:06.044151Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05289","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40828ea4177f867c762f5a796031da9f8b103364376b91b8763594eb00fa0338","sha256:206a548e0be5b0d6f8bf9759cfaa22b5d2c8256f5d4e9e249ff77ed080094e67"],"state_sha256":"fd5d3fc1cc433f023b6853e5927be16f060902a834f0622d6f0c0e62c752b773"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uc5qj77gJliHUSni6aQUwA+vHMg2z/9LwaPbc0eNLtiI2TNYPQCqYxoAAiIOtQklCS88urKyJAPMmrWY9TinDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T08:54:44.131198Z","bundle_sha256":"40b19cbf1bd0d10c4df32dfcf25f6d708717b36671db70a8b7b1efdc87c4e171"}}