{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YNAMJHJM7HU3URKLWDSYOERUD6","short_pith_number":"pith:YNAMJHJM","canonical_record":{"source":{"id":"2309.17261","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T14:13:07Z","cross_cats_sorted":[],"title_canon_sha256":"85495ddf87c8b3b9e0d1104171fcc32db848a946d8d176babe23cf61df40ab5b","abstract_canon_sha256":"eca8d50338f1041159884f931477435be0a30cdfeeadee54bd83aaefb3eeff68"},"schema_version":"1.0"},"canonical_sha256":"c340c49d2cf9e9ba454bb0e58712341f82d8c88b5823931466ba8d70cf795335","source":{"kind":"arxiv","id":"2309.17261","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.17261","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2309.17261v2","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.17261","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"YNAMJHJM7HU3","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"YNAMJHJM7HU3URKL","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"YNAMJHJM","created_at":"2026-07-05T07:47:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YNAMJHJM7HU3URKLWDSYOERUD6","target":"record","payload":{"canonical_record":{"source":{"id":"2309.17261","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T14:13:07Z","cross_cats_sorted":[],"title_canon_sha256":"85495ddf87c8b3b9e0d1104171fcc32db848a946d8d176babe23cf61df40ab5b","abstract_canon_sha256":"eca8d50338f1041159884f931477435be0a30cdfeeadee54bd83aaefb3eeff68"},"schema_version":"1.0"},"canonical_sha256":"c340c49d2cf9e9ba454bb0e58712341f82d8c88b5823931466ba8d70cf795335","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:47:05.275437Z","signature_b64":"bZMIDcaxXkGHmtKPFjhQpW73hwQVUeDKt+2L7xTyu7dD4j32V9a0aqgzJc1UsiSQUUzHhJcWAm/07Tihb1tTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c340c49d2cf9e9ba454bb0e58712341f82d8c88b5823931466ba8d70cf795335","last_reissued_at":"2026-07-05T07:47:05.275028Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:47:05.275028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.17261","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":"2026-07-05T07:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Dfnkr20GCsOQ+mPD6nUpsF0mAbl3I14PbiTCxYeI2X3RqaSDSYAGSFKZlJgkzx+K+f5vwoD8Qh23J3dIh/7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T07:32:55.966749Z"},"content_sha256":"42a26fbc041c9a929be2ab968b749050620f8de0c2aa4e23b45873c7872b0c38","schema_version":"1.0","event_id":"sha256:42a26fbc041c9a929be2ab968b749050620f8de0c2aa4e23b45873c7872b0c38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YNAMJHJM7HU3URKLWDSYOERUD6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaoqun Gong, Haonan Han, Xiu Li, Yachao Zhang, Yukang Lin, Zunnan Xu","submitted_at":"2023-09-29T14:13:07Z","abstract_excerpt":"Reconstructing 3D objects from a single image guided by pretrained diffusion models has demonstrated promising outcomes. However, due to utilizing the case-agnostic rigid strategy, their generalization ability to arbitrary cases and the 3D consistency of reconstruction are still poor. In this work, we propose Consistent123, a case-aware two-stage method for highly consistent 3D asset reconstruction from one image with both 2D and 3D diffusion priors. In the first stage, Consistent123 utilizes only 3D structural priors for sufficient geometry exploitation, with a CLIP-based case-aware adaptive "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.17261","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/2309.17261/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":"2026-07-05T07:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XYL3Y0RHyN3L99hfj7RkTo+1XjNVZIfUYhMyndUfphccf3VgqL1PfXC+8EZejDD34D853MZZW4vb2DUSZ29WDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T07:32:55.967642Z"},"content_sha256":"ba674a50bf6e5a7322c4ff387d6e8f915d8baf2d862db97511db6aab7a037aa8","schema_version":"1.0","event_id":"sha256:ba674a50bf6e5a7322c4ff387d6e8f915d8baf2d862db97511db6aab7a037aa8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YNAMJHJM7HU3URKLWDSYOERUD6/bundle.json","state_url":"https://pith.science/pith/YNAMJHJM7HU3URKLWDSYOERUD6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YNAMJHJM7HU3URKLWDSYOERUD6/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":"2026-08-10T07:32:55Z","links":{"resolver":"https://pith.science/pith/YNAMJHJM7HU3URKLWDSYOERUD6","bundle":"https://pith.science/pith/YNAMJHJM7HU3URKLWDSYOERUD6/bundle.json","state":"https://pith.science/pith/YNAMJHJM7HU3URKLWDSYOERUD6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YNAMJHJM7HU3URKLWDSYOERUD6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YNAMJHJM7HU3URKLWDSYOERUD6","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":"eca8d50338f1041159884f931477435be0a30cdfeeadee54bd83aaefb3eeff68","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T14:13:07Z","title_canon_sha256":"85495ddf87c8b3b9e0d1104171fcc32db848a946d8d176babe23cf61df40ab5b"},"schema_version":"1.0","source":{"id":"2309.17261","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.17261","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2309.17261v2","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.17261","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"YNAMJHJM7HU3","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"YNAMJHJM7HU3URKL","created_at":"2026-07-05T07:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"YNAMJHJM","created_at":"2026-07-05T07:47:05Z"}],"graph_snapshots":[{"event_id":"sha256:ba674a50bf6e5a7322c4ff387d6e8f915d8baf2d862db97511db6aab7a037aa8","target":"graph","created_at":"2026-07-05T07:47:05Z","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/2309.17261/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing 3D objects from a single image guided by pretrained diffusion models has demonstrated promising outcomes. However, due to utilizing the case-agnostic rigid strategy, their generalization ability to arbitrary cases and the 3D consistency of reconstruction are still poor. In this work, we propose Consistent123, a case-aware two-stage method for highly consistent 3D asset reconstruction from one image with both 2D and 3D diffusion priors. In the first stage, Consistent123 utilizes only 3D structural priors for sufficient geometry exploitation, with a CLIP-based case-aware adaptive ","authors_text":"Chaoqun Gong, Haonan Han, Xiu Li, Yachao Zhang, Yukang Lin, Zunnan Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T14:13:07Z","title":"Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.17261","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":"sha256:42a26fbc041c9a929be2ab968b749050620f8de0c2aa4e23b45873c7872b0c38","target":"record","created_at":"2026-07-05T07:47:05Z","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":"eca8d50338f1041159884f931477435be0a30cdfeeadee54bd83aaefb3eeff68","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-29T14:13:07Z","title_canon_sha256":"85495ddf87c8b3b9e0d1104171fcc32db848a946d8d176babe23cf61df40ab5b"},"schema_version":"1.0","source":{"id":"2309.17261","kind":"arxiv","version":2}},"canonical_sha256":"c340c49d2cf9e9ba454bb0e58712341f82d8c88b5823931466ba8d70cf795335","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c340c49d2cf9e9ba454bb0e58712341f82d8c88b5823931466ba8d70cf795335","first_computed_at":"2026-07-05T07:47:05.275028Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:47:05.275028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bZMIDcaxXkGHmtKPFjhQpW73hwQVUeDKt+2L7xTyu7dD4j32V9a0aqgzJc1UsiSQUUzHhJcWAm/07Tihb1tTCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:47:05.275437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.17261","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42a26fbc041c9a929be2ab968b749050620f8de0c2aa4e23b45873c7872b0c38","sha256:ba674a50bf6e5a7322c4ff387d6e8f915d8baf2d862db97511db6aab7a037aa8"],"state_sha256":"4c464d625863f7e92f09c01c2fafbd88209b9d5c7ba5f8ee4d00a8d2d0591f4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8d68Ii52UfPDFP4SunaCtoIjkARCGJZ2YaSXSv/jF2ZYmDcpwTlXoST/65X+RmpZbqVolnGtTEoDNK/pQjnGDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T07:32:55.974680Z","bundle_sha256":"f3210e0ea23210f8fc68d5e5316424326e7a861e366d8266968231e7497e0203"}}