{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4GDX3Y3MLNW23AATWKVEZEMV5O","short_pith_number":"pith:4GDX3Y3M","canonical_record":{"source":{"id":"2403.16210","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-24T16:09:21Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"cd1768db80960eac64f751f78fe9a17c1a5014df4de7695545d2d08b2e28b3ae","abstract_canon_sha256":"0205a3b31c4bf1687c006fca6534fce30aef77e618ead653ae04308fec160f14"},"schema_version":"1.0"},"canonical_sha256":"e1877de36c5b6dad8013b2aa4c9195eb992ee56c4cc4e71aff8ac75c36152b74","source":{"kind":"arxiv","id":"2403.16210","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.16210","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"arxiv_version","alias_value":"2403.16210v2","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16210","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_12","alias_value":"4GDX3Y3MLNW2","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_16","alias_value":"4GDX3Y3MLNW23AAT","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_8","alias_value":"4GDX3Y3M","created_at":"2026-07-05T09:01:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4GDX3Y3MLNW23AATWKVEZEMV5O","target":"record","payload":{"canonical_record":{"source":{"id":"2403.16210","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-24T16:09:21Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"cd1768db80960eac64f751f78fe9a17c1a5014df4de7695545d2d08b2e28b3ae","abstract_canon_sha256":"0205a3b31c4bf1687c006fca6534fce30aef77e618ead653ae04308fec160f14"},"schema_version":"1.0"},"canonical_sha256":"e1877de36c5b6dad8013b2aa4c9195eb992ee56c4cc4e71aff8ac75c36152b74","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:19.802940Z","signature_b64":"3G6WL5o9fvOSxOmVEI3R3GCXQtwKNcet73RK3KrMTzTO7SVUkKH5NoIJVUF1epRnYM7grm/1hndqfp/T6wHaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1877de36c5b6dad8013b2aa4c9195eb992ee56c4cc4e71aff8ac75c36152b74","last_reissued_at":"2026-07-05T09:01:19.802474Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:19.802474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.16210","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":"2026-07-05T09:01:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LaA9qeJSor6iqbFxjcimRPICrOM9y1NTabOCBooNHXIHhj5gEchD4xZ+VrAqyV/djxo0d5ztWDgRW7y21qteAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:15:47.670874Z"},"content_sha256":"4e5be40c033df6f49b87ace6c585492968f18bc10dbba4731a60367bc8bd75a4","schema_version":"1.0","event_id":"sha256:4e5be40c033df6f49b87ace6c585492968f18bc10dbba4731a60367bc8bd75a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4GDX3Y3MLNW23AATWKVEZEMV5O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Chao Ma, Han Yan, Hongdong Li, Pan Ji, Shenzhou Chen, Taizhang Shang, Tian Chen, Weixuan Sun, Weizhe Liu, Xiaqiang Dai, Yang Li, Zhennan Wu","submitted_at":"2024-03-24T16:09:21Z","abstract_excerpt":"We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass. Unlike existing methods that output a single, unified 3D shape, Frankenstein simultaneously generates multiple separated shapes, each corresponding to a semantically meaningful part. The 3D scene information is encoded in one single tri-plane tensor, from which multiple Singed Distance Function (SDF) fields can be decoded to represent the compositional shapes. During training, an auto-encoder compresses tri-planes into a latent space, and then the denoising diffusion proces"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16210","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/2403.16210/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":"2026-07-05T09:01:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"psBTw5t11elJAn/gc6G8mHSBHKGcQS8kr/NsQOoS+pJvXw9Us0pqWvmHMHViIJb98epn7+vQRpShRhmABYQgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:15:47.671458Z"},"content_sha256":"80261c54d0f24156938068016dafefe92b565c9c5e297202079932c7460c05f8","schema_version":"1.0","event_id":"sha256:80261c54d0f24156938068016dafefe92b565c9c5e297202079932c7460c05f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/bundle.json","state_url":"https://pith.science/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/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":"2026-07-07T07:15:47Z","links":{"resolver":"https://pith.science/pith/4GDX3Y3MLNW23AATWKVEZEMV5O","bundle":"https://pith.science/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/bundle.json","state":"https://pith.science/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GDX3Y3MLNW23AATWKVEZEMV5O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4GDX3Y3MLNW23AATWKVEZEMV5O","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":"0205a3b31c4bf1687c006fca6534fce30aef77e618ead653ae04308fec160f14","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-24T16:09:21Z","title_canon_sha256":"cd1768db80960eac64f751f78fe9a17c1a5014df4de7695545d2d08b2e28b3ae"},"schema_version":"1.0","source":{"id":"2403.16210","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.16210","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"arxiv_version","alias_value":"2403.16210v2","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16210","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_12","alias_value":"4GDX3Y3MLNW2","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_16","alias_value":"4GDX3Y3MLNW23AAT","created_at":"2026-07-05T09:01:19Z"},{"alias_kind":"pith_short_8","alias_value":"4GDX3Y3M","created_at":"2026-07-05T09:01:19Z"}],"graph_snapshots":[{"event_id":"sha256:80261c54d0f24156938068016dafefe92b565c9c5e297202079932c7460c05f8","target":"graph","created_at":"2026-07-05T09:01:19Z","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/2403.16210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass. Unlike existing methods that output a single, unified 3D shape, Frankenstein simultaneously generates multiple separated shapes, each corresponding to a semantically meaningful part. The 3D scene information is encoded in one single tri-plane tensor, from which multiple Singed Distance Function (SDF) fields can be decoded to represent the compositional shapes. During training, an auto-encoder compresses tri-planes into a latent space, and then the denoising diffusion proces","authors_text":"Chao Ma, Han Yan, Hongdong Li, Pan Ji, Shenzhou Chen, Taizhang Shang, Tian Chen, Weixuan Sun, Weizhe Liu, Xiaqiang Dai, Yang Li, Zhennan Wu","cross_cats":["cs.AI","cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-24T16:09:21Z","title":"Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16210","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":"sha256:4e5be40c033df6f49b87ace6c585492968f18bc10dbba4731a60367bc8bd75a4","target":"record","created_at":"2026-07-05T09:01:19Z","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":"0205a3b31c4bf1687c006fca6534fce30aef77e618ead653ae04308fec160f14","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-24T16:09:21Z","title_canon_sha256":"cd1768db80960eac64f751f78fe9a17c1a5014df4de7695545d2d08b2e28b3ae"},"schema_version":"1.0","source":{"id":"2403.16210","kind":"arxiv","version":2}},"canonical_sha256":"e1877de36c5b6dad8013b2aa4c9195eb992ee56c4cc4e71aff8ac75c36152b74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1877de36c5b6dad8013b2aa4c9195eb992ee56c4cc4e71aff8ac75c36152b74","first_computed_at":"2026-07-05T09:01:19.802474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:19.802474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3G6WL5o9fvOSxOmVEI3R3GCXQtwKNcet73RK3KrMTzTO7SVUkKH5NoIJVUF1epRnYM7grm/1hndqfp/T6wHaAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:19.802940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.16210","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e5be40c033df6f49b87ace6c585492968f18bc10dbba4731a60367bc8bd75a4","sha256:80261c54d0f24156938068016dafefe92b565c9c5e297202079932c7460c05f8"],"state_sha256":"fb589e7902da2b45e7a309b7dea3ab4d21f92a21d5e090f51edc5209429c6cd8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gx56BkgfIFwflVf9oVRvrkPJjy5dP9W53EY/76t/Dcga+Zfy+3yWGO0l4RyaQpg1/GjFaA4p09Lv4S1NBtPoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:15:47.674897Z","bundle_sha256":"27c01aa9f7df9ada77ba976cf9df51a49b93f85150159533933fd7d86578f19f"}}