{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BTXY3IELCPA4C3B7ZGZYMTGJLP","short_pith_number":"pith:BTXY3IEL","canonical_record":{"source":{"id":"2508.14811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-20T16:02:59Z","cross_cats_sorted":[],"title_canon_sha256":"19df4c9d75c409e2612999705b83422041c05ed00ffb3040120e633b38793256","abstract_canon_sha256":"14b470a34a9d287d7d9d52880bb2e6c8f1c0740c616669fa159c0e8497bd36cf"},"schema_version":"1.0"},"canonical_sha256":"0cef8da08b13c1c16c3fc9b3864cc95bea76909c26ab8a917f1b8c9d862b3ccb","source":{"kind":"arxiv","id":"2508.14811","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14811","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14811v1","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14811","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_12","alias_value":"BTXY3IELCPA4","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_16","alias_value":"BTXY3IELCPA4C3B7","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_8","alias_value":"BTXY3IEL","created_at":"2026-07-05T11:56:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BTXY3IELCPA4C3B7ZGZYMTGJLP","target":"record","payload":{"canonical_record":{"source":{"id":"2508.14811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-20T16:02:59Z","cross_cats_sorted":[],"title_canon_sha256":"19df4c9d75c409e2612999705b83422041c05ed00ffb3040120e633b38793256","abstract_canon_sha256":"14b470a34a9d287d7d9d52880bb2e6c8f1c0740c616669fa159c0e8497bd36cf"},"schema_version":"1.0"},"canonical_sha256":"0cef8da08b13c1c16c3fc9b3864cc95bea76909c26ab8a917f1b8c9d862b3ccb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:56:44.864407Z","signature_b64":"yJz8dRFVAf2cyOHIhCbo4GPG4hQpR42ACKZQIU28RwtWr8tAtG5Pd67s4f+ZyfgXhC4+VDKwZs2OoLlwxzI/Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cef8da08b13c1c16c3fc9b3864cc95bea76909c26ab8a917f1b8c9d862b3ccb","last_reissued_at":"2026-07-05T11:56:44.863912Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:56:44.863912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.14811","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":"2026-07-05T11:56:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ejrTDya2q0ZT4GqoIRbAS9ZqGGjQAipaXksuGGXzguKDSYLVX/AtXHbSXXQx6/huzPGJDoQoaYotFuTYP++vCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:20:15.042206Z"},"content_sha256":"5465d380a0a0ec5659a9987f7b3925dbafce3da2031c580501411921564ab4e3","schema_version":"1.0","event_id":"sha256:5465d380a0a0ec5659a9987f7b3925dbafce3da2031c580501411921564ab4e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BTXY3IELCPA4C3B7ZGZYMTGJLP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Canyu Zhao, Chunhua Shen, Hao Chen, Tianjian Feng, Xiaoman Li, Zhiyue Zhao","submitted_at":"2025-08-20T16:02:59Z","abstract_excerpt":"We introduce Tinker, a versatile framework for high-fidelity 3D editing that operates in both one-shot and few-shot regimes without any per-scene finetuning. Unlike prior techniques that demand extensive per-scene optimization to ensure multi-view consistency or to produce dozens of consistent edited input views, Tinker delivers robust, multi-view consistent edits from as few as one or two images. This capability stems from repurposing pretrained diffusion models, which unlocks their latent 3D awareness. To drive research in this space, we curate the first large-scale multi-view editing datase"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14811","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/2508.14811/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":"2026-07-05T11:56:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rSjvOaO9Nvq4Y8bhzXNVdxnkAdB2ARfylXbnZuOXzs0ZPTnSM6O/We99fKbOfE0W+8ho511jSPLcI83FuKKWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:20:15.043096Z"},"content_sha256":"af4c81328965cc5a05faee199c015189c96b1cbe2004c47254ff9d177d0a4381","schema_version":"1.0","event_id":"sha256:af4c81328965cc5a05faee199c015189c96b1cbe2004c47254ff9d177d0a4381"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/bundle.json","state_url":"https://pith.science/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/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":"2026-08-06T14:20:15Z","links":{"resolver":"https://pith.science/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP","bundle":"https://pith.science/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/bundle.json","state":"https://pith.science/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BTXY3IELCPA4C3B7ZGZYMTGJLP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BTXY3IELCPA4C3B7ZGZYMTGJLP","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":"14b470a34a9d287d7d9d52880bb2e6c8f1c0740c616669fa159c0e8497bd36cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-20T16:02:59Z","title_canon_sha256":"19df4c9d75c409e2612999705b83422041c05ed00ffb3040120e633b38793256"},"schema_version":"1.0","source":{"id":"2508.14811","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.14811","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"arxiv_version","alias_value":"2508.14811v1","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.14811","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_12","alias_value":"BTXY3IELCPA4","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_16","alias_value":"BTXY3IELCPA4C3B7","created_at":"2026-07-05T11:56:44Z"},{"alias_kind":"pith_short_8","alias_value":"BTXY3IEL","created_at":"2026-07-05T11:56:44Z"}],"graph_snapshots":[{"event_id":"sha256:af4c81328965cc5a05faee199c015189c96b1cbe2004c47254ff9d177d0a4381","target":"graph","created_at":"2026-07-05T11:56:44Z","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/2508.14811/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Tinker, a versatile framework for high-fidelity 3D editing that operates in both one-shot and few-shot regimes without any per-scene finetuning. Unlike prior techniques that demand extensive per-scene optimization to ensure multi-view consistency or to produce dozens of consistent edited input views, Tinker delivers robust, multi-view consistent edits from as few as one or two images. This capability stems from repurposing pretrained diffusion models, which unlocks their latent 3D awareness. To drive research in this space, we curate the first large-scale multi-view editing datase","authors_text":"Canyu Zhao, Chunhua Shen, Hao Chen, Tianjian Feng, Xiaoman Li, Zhiyue Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-20T16:02:59Z","title":"Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.14811","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":"sha256:5465d380a0a0ec5659a9987f7b3925dbafce3da2031c580501411921564ab4e3","target":"record","created_at":"2026-07-05T11:56:44Z","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":"14b470a34a9d287d7d9d52880bb2e6c8f1c0740c616669fa159c0e8497bd36cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-20T16:02:59Z","title_canon_sha256":"19df4c9d75c409e2612999705b83422041c05ed00ffb3040120e633b38793256"},"schema_version":"1.0","source":{"id":"2508.14811","kind":"arxiv","version":1}},"canonical_sha256":"0cef8da08b13c1c16c3fc9b3864cc95bea76909c26ab8a917f1b8c9d862b3ccb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cef8da08b13c1c16c3fc9b3864cc95bea76909c26ab8a917f1b8c9d862b3ccb","first_computed_at":"2026-07-05T11:56:44.863912Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:44.863912Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yJz8dRFVAf2cyOHIhCbo4GPG4hQpR42ACKZQIU28RwtWr8tAtG5Pd67s4f+ZyfgXhC4+VDKwZs2OoLlwxzI/Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:44.864407Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.14811","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5465d380a0a0ec5659a9987f7b3925dbafce3da2031c580501411921564ab4e3","sha256:af4c81328965cc5a05faee199c015189c96b1cbe2004c47254ff9d177d0a4381"],"state_sha256":"70824ec35cda5bbaaf2cc724113ffa8164876a79de432dbc4eb0f8179aea068f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ka3z/UWE9sDztAS/zwdgEty72IOi0aNYoWRIaUSqCKdS/wiYpWnWea8yiAkM+vSWa35WfQGwht38fSHb6Mu5Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:20:15.050247Z","bundle_sha256":"2fda268cc2c010b0ad3c32aa48580b8b03674e64d586e0cc4506bac4b36875f8"}}