{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KX2Q2V5IBKZJVZ4ISZ22G3ABQC","short_pith_number":"pith:KX2Q2V5I","canonical_record":{"source":{"id":"2308.09712","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T17:59:04Z","cross_cats_sorted":[],"title_canon_sha256":"3433e586bf00cf734656b102e926c97e6aff3fd9a9f72648e79a4c88d5583b7b","abstract_canon_sha256":"22dfc7954b09e1e9cc602a40f56fcb3969babb01326668f132ffe0814e16f8f9"},"schema_version":"1.0"},"canonical_sha256":"55f50d57a80ab29ae7889675a36c0180b71ebe435b8a15af8db85692f0b33d52","source":{"kind":"arxiv","id":"2308.09712","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09712","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09712v1","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09712","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"KX2Q2V5IBKZJ","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_16","alias_value":"KX2Q2V5IBKZJVZ4I","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_8","alias_value":"KX2Q2V5I","created_at":"2026-07-05T06:42:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KX2Q2V5IBKZJVZ4ISZ22G3ABQC","target":"record","payload":{"canonical_record":{"source":{"id":"2308.09712","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T17:59:04Z","cross_cats_sorted":[],"title_canon_sha256":"3433e586bf00cf734656b102e926c97e6aff3fd9a9f72648e79a4c88d5583b7b","abstract_canon_sha256":"22dfc7954b09e1e9cc602a40f56fcb3969babb01326668f132ffe0814e16f8f9"},"schema_version":"1.0"},"canonical_sha256":"55f50d57a80ab29ae7889675a36c0180b71ebe435b8a15af8db85692f0b33d52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:42:37.245268Z","signature_b64":"1NLuKeZNORKNAHhvFrcXfG7jDrRT+BEj62Yb6Y3citjwIdoo9hl3qw57W6pcFPqQoG8h5I/TzfsZJXxHRZUYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55f50d57a80ab29ae7889675a36c0180b71ebe435b8a15af8db85692f0b33d52","last_reissued_at":"2026-07-05T06:42:37.244792Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:42:37.244792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.09712","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":"2026-07-05T06:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1xPs9kDN81j4lU15uVaJPaVF9+Bbz5cChrNGxbzY5GZN+x2cEApVX58Qw68lk33wt/Ni/J3XTC2E/qG+JMl3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:41:51.202450Z"},"content_sha256":"27bfcb238847b728a23b937af57a5670ac8bfde781a6c6310236ae7035b50697","schema_version":"1.0","event_id":"sha256:27bfcb238847b728a23b937af57a5670ac8bfde781a6c6310236ae7035b50697"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KX2Q2V5IBKZJVZ4ISZ22G3ABQC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HumanLiff: Layer-wise 3D Human Generation with Diffusion Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangzhou Hong, Haiyi Mei, Lei Yang, Liang Pan, Shoukang Hu, Tao Hu, Weiye Xiao, Ziwei Liu","submitted_at":"2023-08-18T17:59:04Z","abstract_excerpt":"3D human generation from 2D images has achieved remarkable progress through the synergistic utilization of neural rendering and generative models. Existing 3D human generative models mainly generate a clothed 3D human as an undetectable 3D model in a single pass, while rarely considering the layer-wise nature of a clothed human body, which often consists of the human body and various clothes such as underwear, outerwear, trousers, shoes, etc. In this work, we propose HumanLiff, the first layer-wise 3D human generative model with a unified diffusion process. Specifically, HumanLiff firstly gene"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09712","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/2308.09712/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":"2026-07-05T06:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NlLV/9a9PjE9DeHnxF/SxgSqg4yhfZ0QBneyzcIeBbTVgC8LnLuKSwNWKFabzXe983qN8EmF6SQgMaDBgJcTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:41:51.203450Z"},"content_sha256":"c108a21349f41cd7bf432a19bb576f7bb0050caa2d04c76e2825332492b2d4c3","schema_version":"1.0","event_id":"sha256:c108a21349f41cd7bf432a19bb576f7bb0050caa2d04c76e2825332492b2d4c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/bundle.json","state_url":"https://pith.science/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/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":"2026-08-12T22:41:51Z","links":{"resolver":"https://pith.science/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC","bundle":"https://pith.science/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/bundle.json","state":"https://pith.science/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KX2Q2V5IBKZJVZ4ISZ22G3ABQC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KX2Q2V5IBKZJVZ4ISZ22G3ABQC","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":"22dfc7954b09e1e9cc602a40f56fcb3969babb01326668f132ffe0814e16f8f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T17:59:04Z","title_canon_sha256":"3433e586bf00cf734656b102e926c97e6aff3fd9a9f72648e79a4c88d5583b7b"},"schema_version":"1.0","source":{"id":"2308.09712","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09712","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09712v1","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09712","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"KX2Q2V5IBKZJ","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_16","alias_value":"KX2Q2V5IBKZJVZ4I","created_at":"2026-07-05T06:42:37Z"},{"alias_kind":"pith_short_8","alias_value":"KX2Q2V5I","created_at":"2026-07-05T06:42:37Z"}],"graph_snapshots":[{"event_id":"sha256:c108a21349f41cd7bf432a19bb576f7bb0050caa2d04c76e2825332492b2d4c3","target":"graph","created_at":"2026-07-05T06:42:37Z","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/2308.09712/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D human generation from 2D images has achieved remarkable progress through the synergistic utilization of neural rendering and generative models. Existing 3D human generative models mainly generate a clothed 3D human as an undetectable 3D model in a single pass, while rarely considering the layer-wise nature of a clothed human body, which often consists of the human body and various clothes such as underwear, outerwear, trousers, shoes, etc. In this work, we propose HumanLiff, the first layer-wise 3D human generative model with a unified diffusion process. Specifically, HumanLiff firstly gene","authors_text":"Fangzhou Hong, Haiyi Mei, Lei Yang, Liang Pan, Shoukang Hu, Tao Hu, Weiye Xiao, Ziwei Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T17:59:04Z","title":"HumanLiff: Layer-wise 3D Human Generation with Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09712","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":"sha256:27bfcb238847b728a23b937af57a5670ac8bfde781a6c6310236ae7035b50697","target":"record","created_at":"2026-07-05T06:42:37Z","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":"22dfc7954b09e1e9cc602a40f56fcb3969babb01326668f132ffe0814e16f8f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-18T17:59:04Z","title_canon_sha256":"3433e586bf00cf734656b102e926c97e6aff3fd9a9f72648e79a4c88d5583b7b"},"schema_version":"1.0","source":{"id":"2308.09712","kind":"arxiv","version":1}},"canonical_sha256":"55f50d57a80ab29ae7889675a36c0180b71ebe435b8a15af8db85692f0b33d52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55f50d57a80ab29ae7889675a36c0180b71ebe435b8a15af8db85692f0b33d52","first_computed_at":"2026-07-05T06:42:37.244792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:42:37.244792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1NLuKeZNORKNAHhvFrcXfG7jDrRT+BEj62Yb6Y3citjwIdoo9hl3qw57W6pcFPqQoG8h5I/TzfsZJXxHRZUYDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:42:37.245268Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09712","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27bfcb238847b728a23b937af57a5670ac8bfde781a6c6310236ae7035b50697","sha256:c108a21349f41cd7bf432a19bb576f7bb0050caa2d04c76e2825332492b2d4c3"],"state_sha256":"3daf96a50737009e817d07f2f48f95b9cdb0bb0e29858a81ac2f574f9ab27e6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5qkRcCyjSdd2XImClxu0UQnzmok4CoPtnTsF5SMW9U1s/hBb8lhtfJiSEGDNEvFRYVH7V9VynXbYJoMKMw7Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T22:41:51.210148Z","bundle_sha256":"35ee732ef635d6544d88be314a88b011d3f8fac809f000482d461c0d1f6a969b"}}