{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZT3BJYCMZBVMXPEQF3CB2CJ2IL","short_pith_number":"pith:ZT3BJYCM","canonical_record":{"source":{"id":"2306.07881","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T16:18:51Z","cross_cats_sorted":[],"title_canon_sha256":"7109f2e3ce99a3c1b0e3ff820c866084625a57ed94483cfb6404f13baa35b480","abstract_canon_sha256":"4575a13d13deab45cf14c7466acd2a63b2b2da8c0e81c96da4fc533090e35fa8"},"schema_version":"1.0"},"canonical_sha256":"ccf614e04cc86acbbc902ec41d093a42da3b885c35b6abd7c79440d1ebd5424e","source":{"kind":"arxiv","id":"2306.07881","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07881","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07881v2","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07881","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZT3BJYCMZBVM","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"ZT3BJYCMZBVMXPEQ","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"ZT3BJYCM","created_at":"2026-07-05T06:46:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZT3BJYCMZBVMXPEQF3CB2CJ2IL","target":"record","payload":{"canonical_record":{"source":{"id":"2306.07881","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T16:18:51Z","cross_cats_sorted":[],"title_canon_sha256":"7109f2e3ce99a3c1b0e3ff820c866084625a57ed94483cfb6404f13baa35b480","abstract_canon_sha256":"4575a13d13deab45cf14c7466acd2a63b2b2da8c0e81c96da4fc533090e35fa8"},"schema_version":"1.0"},"canonical_sha256":"ccf614e04cc86acbbc902ec41d093a42da3b885c35b6abd7c79440d1ebd5424e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:46:48.546274Z","signature_b64":"Vwn8nGBBwcAk1yGbXysURHtF69Kt/gnuqUbzCQIOQyxmz8paEc8LojWJGs2rL/iXRbbmATItYtvVtT6WgmPMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccf614e04cc86acbbc902ec41d093a42da3b885c35b6abd7c79440d1ebd5424e","last_reissued_at":"2026-07-05T06:46:48.545777Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:46:48.545777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.07881","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":"2026-07-05T06:46:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hUBHA0rj9WI8PwHRdquWdAlEAI60cNSr86Op+3mzjRS7biEt89hQql+ljW/bNiZbp3nZItPPpqyyzu3O6c0/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:14.651396Z"},"content_sha256":"64f6831668dbfc4d6d254d5ccf37f68d8aafe6bca6ec8ba5908084f459bcbfde","schema_version":"1.0","event_id":"sha256:64f6831668dbfc4d6d254d5ccf37f68d8aafe6bca6ec8ba5908084f459bcbfde"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZT3BJYCMZBVMXPEQF3CB2CJ2IL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrea Vedaldi, Christian Rupprecht, Stanislaw Szymanowicz","submitted_at":"2023-06-13T16:18:51Z","abstract_excerpt":"We present Viewset Diffusion, a diffusion-based generator that outputs 3D objects while only using multi-view 2D data for supervision. We note that there exists a one-to-one mapping between viewsets, i.e., collections of several 2D views of an object, and 3D models. Hence, we train a diffusion model to generate viewsets, but design the neural network generator to reconstruct internally corresponding 3D models, thus generating those too. We fit a diffusion model to a large number of viewsets for a given category of objects. The resulting generator can be conditioned on zero, one or more input v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07881","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/2306.07881/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":"2026-07-05T06:46:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qcGyZGJDH9SvI2Bi5ykQnnoVOanLKKx27ru9VD9fQgqV6cSm84TF4JuL3uNgBjvLzuXqexh34TdKl/8xz9hbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:25:14.652197Z"},"content_sha256":"e46cbb32f6ddb61d5291c2a04744e73dcd7d63ec8bccb75537a2536bd7980e93","schema_version":"1.0","event_id":"sha256:e46cbb32f6ddb61d5291c2a04744e73dcd7d63ec8bccb75537a2536bd7980e93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/bundle.json","state_url":"https://pith.science/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/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":"2026-08-07T21:25:14Z","links":{"resolver":"https://pith.science/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL","bundle":"https://pith.science/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/bundle.json","state":"https://pith.science/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZT3BJYCMZBVMXPEQF3CB2CJ2IL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZT3BJYCMZBVMXPEQF3CB2CJ2IL","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":"4575a13d13deab45cf14c7466acd2a63b2b2da8c0e81c96da4fc533090e35fa8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T16:18:51Z","title_canon_sha256":"7109f2e3ce99a3c1b0e3ff820c866084625a57ed94483cfb6404f13baa35b480"},"schema_version":"1.0","source":{"id":"2306.07881","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07881","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07881v2","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07881","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_12","alias_value":"ZT3BJYCMZBVM","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_16","alias_value":"ZT3BJYCMZBVMXPEQ","created_at":"2026-07-05T06:46:48Z"},{"alias_kind":"pith_short_8","alias_value":"ZT3BJYCM","created_at":"2026-07-05T06:46:48Z"}],"graph_snapshots":[{"event_id":"sha256:e46cbb32f6ddb61d5291c2a04744e73dcd7d63ec8bccb75537a2536bd7980e93","target":"graph","created_at":"2026-07-05T06:46:48Z","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/2306.07881/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Viewset Diffusion, a diffusion-based generator that outputs 3D objects while only using multi-view 2D data for supervision. We note that there exists a one-to-one mapping between viewsets, i.e., collections of several 2D views of an object, and 3D models. Hence, we train a diffusion model to generate viewsets, but design the neural network generator to reconstruct internally corresponding 3D models, thus generating those too. We fit a diffusion model to a large number of viewsets for a given category of objects. The resulting generator can be conditioned on zero, one or more input v","authors_text":"Andrea Vedaldi, Christian Rupprecht, Stanislaw Szymanowicz","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T16:18:51Z","title":"Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07881","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":"sha256:64f6831668dbfc4d6d254d5ccf37f68d8aafe6bca6ec8ba5908084f459bcbfde","target":"record","created_at":"2026-07-05T06:46:48Z","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":"4575a13d13deab45cf14c7466acd2a63b2b2da8c0e81c96da4fc533090e35fa8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-13T16:18:51Z","title_canon_sha256":"7109f2e3ce99a3c1b0e3ff820c866084625a57ed94483cfb6404f13baa35b480"},"schema_version":"1.0","source":{"id":"2306.07881","kind":"arxiv","version":2}},"canonical_sha256":"ccf614e04cc86acbbc902ec41d093a42da3b885c35b6abd7c79440d1ebd5424e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccf614e04cc86acbbc902ec41d093a42da3b885c35b6abd7c79440d1ebd5424e","first_computed_at":"2026-07-05T06:46:48.545777Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:46:48.545777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vwn8nGBBwcAk1yGbXysURHtF69Kt/gnuqUbzCQIOQyxmz8paEc8LojWJGs2rL/iXRbbmATItYtvVtT6WgmPMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:46:48.546274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.07881","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64f6831668dbfc4d6d254d5ccf37f68d8aafe6bca6ec8ba5908084f459bcbfde","sha256:e46cbb32f6ddb61d5291c2a04744e73dcd7d63ec8bccb75537a2536bd7980e93"],"state_sha256":"5db01a639067387f6de775c2c6006a3f42ead9c76ca7c404a9e4f095e145f139"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cWA2waT3s8PA4njx4sW8QqyPI/cdIXlFMl6kj2DDKy8Eoxvl2934brsQHxYXZO1zsCS3Im7DFKs9XXDJeerLCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:25:14.657743Z","bundle_sha256":"501a7e9134484006573bc9f4b9d96d360bd2201f2a44015dd6dc3886fb9768f7"}}