{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TCUQ4FPI4P5KHKO4G2G6JFJIVU","short_pith_number":"pith:TCUQ4FPI","canonical_record":{"source":{"id":"2312.02981","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:59:58Z","cross_cats_sorted":[],"title_canon_sha256":"377fa846ac3f4811b2183b48c045c7d80133214f31423ed3503a34b1121e8169","abstract_canon_sha256":"1033995e942ce7fedc594e8283145a47c57747b715319b775defe23b135245b4"},"schema_version":"1.0"},"canonical_sha256":"98a90e15e8e3faa3a9dc368de49528ad117b117d2d005a244a505850576cf5e0","source":{"kind":"arxiv","id":"2312.02981","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02981","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02981v1","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02981","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"TCUQ4FPI4P5K","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_16","alias_value":"TCUQ4FPI4P5KHKO4","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_8","alias_value":"TCUQ4FPI","created_at":"2026-07-05T07:20:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TCUQ4FPI4P5KHKO4G2G6JFJIVU","target":"record","payload":{"canonical_record":{"source":{"id":"2312.02981","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:59:58Z","cross_cats_sorted":[],"title_canon_sha256":"377fa846ac3f4811b2183b48c045c7d80133214f31423ed3503a34b1121e8169","abstract_canon_sha256":"1033995e942ce7fedc594e8283145a47c57747b715319b775defe23b135245b4"},"schema_version":"1.0"},"canonical_sha256":"98a90e15e8e3faa3a9dc368de49528ad117b117d2d005a244a505850576cf5e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:20:45.817481Z","signature_b64":"CrwzutI9DlaRZo/QITCWZcIrRk/rAk3Am0K1TFm7utrinUnZRPV6YCrqnNHMmqM8dZDtJ/kH9OC3ofH/0SpFDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98a90e15e8e3faa3a9dc368de49528ad117b117d2d005a244a505850576cf5e0","last_reissued_at":"2026-07-05T07:20:45.816471Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:20:45.816471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.02981","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:20:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s7kS0/1Bx0GU6nfW220stzq0WAAvMThIINhQ3INs2B9WuwkXUWgC1hatDD2Vw+TB8kpX1se3jegoCtqZqFCkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:12:44.667259Z"},"content_sha256":"f9f6fab405a77c29e97bfed01267e2d8e1c0447738e24611e879ce2de4f0cfca","schema_version":"1.0","event_id":"sha256:f9f6fab405a77c29e97bfed01267e2d8e1c0447738e24611e879ce2de4f0cfca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TCUQ4FPI4P5KHKO4G2G6JFJIVU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ReconFusion: 3D Reconstruction with Diffusion Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aleksander Holynski, Ben Mildenhall, Ben Poole, Daniel Watson, Dor Verbin, Jonathan T. Barron, Keunhong Park, Philipp Henzler, Pratul P. Srinivasan, Ruiqi Gao, Rundi Wu","submitted_at":"2023-12-05T18:59:58Z","abstract_excerpt":"3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at rendering photorealistic novel views of complex scenes. However, recovering a high-quality NeRF typically requires tens to hundreds of input images, resulting in a time-consuming capture process. We present ReconFusion to reconstruct real-world scenes using only a few photos. Our approach leverages a diffusion prior for novel view synthesis, trained on synthetic and multiview datasets, which regularizes a NeRF-based 3D reconstruction pipeline at novel camera poses beyond those captured by the set of input images. Our met"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02981","kind":"arxiv","version":1},"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/2312.02981/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":"2026-07-05T07:20:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uMC/W4Rp200ICWZADWnC1hAtsL7gC2mArKGWkoqvDPbcmBC0e9vSFIAk3BHWwD0HSK9xAlz/UKk8wndwXTOvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:12:44.667840Z"},"content_sha256":"dc92227eb01fc7e47bb93b0453677f618c1f1cffa449153244b0516d415b55b9","schema_version":"1.0","event_id":"sha256:dc92227eb01fc7e47bb93b0453677f618c1f1cffa449153244b0516d415b55b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/bundle.json","state_url":"https://pith.science/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/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":"2026-08-06T12:12:44Z","links":{"resolver":"https://pith.science/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU","bundle":"https://pith.science/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/bundle.json","state":"https://pith.science/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TCUQ4FPI4P5KHKO4G2G6JFJIVU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TCUQ4FPI4P5KHKO4G2G6JFJIVU","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":"1033995e942ce7fedc594e8283145a47c57747b715319b775defe23b135245b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:59:58Z","title_canon_sha256":"377fa846ac3f4811b2183b48c045c7d80133214f31423ed3503a34b1121e8169"},"schema_version":"1.0","source":{"id":"2312.02981","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.02981","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"2312.02981v1","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.02981","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"TCUQ4FPI4P5K","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_16","alias_value":"TCUQ4FPI4P5KHKO4","created_at":"2026-07-05T07:20:45Z"},{"alias_kind":"pith_short_8","alias_value":"TCUQ4FPI","created_at":"2026-07-05T07:20:45Z"}],"graph_snapshots":[{"event_id":"sha256:dc92227eb01fc7e47bb93b0453677f618c1f1cffa449153244b0516d415b55b9","target":"graph","created_at":"2026-07-05T07:20:45Z","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/2312.02981/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at rendering photorealistic novel views of complex scenes. However, recovering a high-quality NeRF typically requires tens to hundreds of input images, resulting in a time-consuming capture process. We present ReconFusion to reconstruct real-world scenes using only a few photos. Our approach leverages a diffusion prior for novel view synthesis, trained on synthetic and multiview datasets, which regularizes a NeRF-based 3D reconstruction pipeline at novel camera poses beyond those captured by the set of input images. Our met","authors_text":"Aleksander Holynski, Ben Mildenhall, Ben Poole, Daniel Watson, Dor Verbin, Jonathan T. Barron, Keunhong Park, Philipp Henzler, Pratul P. Srinivasan, Ruiqi Gao, Rundi Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:59:58Z","title":"ReconFusion: 3D Reconstruction with Diffusion Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.02981","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:f9f6fab405a77c29e97bfed01267e2d8e1c0447738e24611e879ce2de4f0cfca","target":"record","created_at":"2026-07-05T07:20:45Z","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":"1033995e942ce7fedc594e8283145a47c57747b715319b775defe23b135245b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-05T18:59:58Z","title_canon_sha256":"377fa846ac3f4811b2183b48c045c7d80133214f31423ed3503a34b1121e8169"},"schema_version":"1.0","source":{"id":"2312.02981","kind":"arxiv","version":1}},"canonical_sha256":"98a90e15e8e3faa3a9dc368de49528ad117b117d2d005a244a505850576cf5e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98a90e15e8e3faa3a9dc368de49528ad117b117d2d005a244a505850576cf5e0","first_computed_at":"2026-07-05T07:20:45.816471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:20:45.816471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CrwzutI9DlaRZo/QITCWZcIrRk/rAk3Am0K1TFm7utrinUnZRPV6YCrqnNHMmqM8dZDtJ/kH9OC3ofH/0SpFDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:20:45.817481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.02981","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9f6fab405a77c29e97bfed01267e2d8e1c0447738e24611e879ce2de4f0cfca","sha256:dc92227eb01fc7e47bb93b0453677f618c1f1cffa449153244b0516d415b55b9"],"state_sha256":"2516a04f3685559280e502bfb4a1573fffed39c09d6e14fd9521411211d7c36d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fjGHYbgTAxoHJiYa7tManBTJE1b3BNSE7jwBvy7iyJFpx2GOoWSUKPBtuaYRt0uF/GGJQHiHJnpJ1RBqbGuMCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:12:44.672916Z","bundle_sha256":"91dabdbaa7a0059d3bf8c2d05cbdc9513e80e498f916a1fc89bf5227bd149ed5"}}