{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:IB73IDBLHLB4QMR7L6ZWAV7KOJ","short_pith_number":"pith:IB73IDBL","canonical_record":{"source":{"id":"2104.08230","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-16T17:12:33Z","cross_cats_sorted":[],"title_canon_sha256":"c476884c41ffdb9518e68fb4495e1a0accf731839556a6e56e91e4c0570229a4","abstract_canon_sha256":"b93358663d4e19bbcc4d1e4c93a30b1dd0607cba2d12997fe2807f2adcdc4969"},"schema_version":"1.0"},"canonical_sha256":"407fb40c2b3ac3c8323f5fb36057ea727a86cb3b217676a7aec35bdad9edcabd","source":{"kind":"arxiv","id":"2104.08230","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08230","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08230v3","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08230","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_12","alias_value":"IB73IDBLHLB4","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_16","alias_value":"IB73IDBLHLB4QMR7","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_8","alias_value":"IB73IDBL","created_at":"2026-07-05T03:20:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:IB73IDBLHLB4QMR7L6ZWAV7KOJ","target":"record","payload":{"canonical_record":{"source":{"id":"2104.08230","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-16T17:12:33Z","cross_cats_sorted":[],"title_canon_sha256":"c476884c41ffdb9518e68fb4495e1a0accf731839556a6e56e91e4c0570229a4","abstract_canon_sha256":"b93358663d4e19bbcc4d1e4c93a30b1dd0607cba2d12997fe2807f2adcdc4969"},"schema_version":"1.0"},"canonical_sha256":"407fb40c2b3ac3c8323f5fb36057ea727a86cb3b217676a7aec35bdad9edcabd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:35.574684Z","signature_b64":"YlMgeYvgQDPBoQU2BBpOfBGRKw+UF87Rvqv0IwvyCY5/8CygiZeeW33zL+GecfMGvSqD3ratrPmST6V9rc+3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"407fb40c2b3ac3c8323f5fb36057ea727a86cb3b217676a7aec35bdad9edcabd","last_reissued_at":"2026-07-05T03:20:35.574219Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:35.574219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.08230","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:20:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/qJVkoE8s9TOQC9ulrMtJF6LZtYRq+t9Zckchqz6MQnXrzHRHvHdNgOALdEUjB2CRgL5twJ+csf9XQII2ftVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:45:40.610714Z"},"content_sha256":"3e77c982ab1ecb637b3ec0ef01d752777320cd18dfb8d34bcc8229ed87e8df82","schema_version":"1.0","event_id":"sha256:3e77c982ab1ecb637b3ec0ef01d752777320cd18dfb8d34bcc8229ed87e8df82"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:IB73IDBLHLB4QMR7L6ZWAV7KOJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Point-Based Modeling of Human Clothing","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Artur Grigorev, Ilya Zakharkin, Kirill Mazur, Victor Lempitsky","submitted_at":"2021-04-16T17:12:33Z","abstract_excerpt":"We propose a new approach to human clothing modeling based on point clouds. Within this approach, we learn a deep model that can predict point clouds of various outfits, for various human poses, and for various human body shapes. Notably, outfits of various types and topologies can be handled by the same model. Using the learned model, we can infer the geometry of new outfits from as little as a single image, and perform outfit retargeting to new bodies in new poses. We complement our geometric model with appearance modeling that uses the point cloud geometry as a geometric scaffolding and emp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08230","kind":"arxiv","version":3},"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/2104.08230/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":"2026-07-05T03:20:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lQKlZ9KpPWjrYGBdaeOfkC581MBVEOSG6KeT80grIRFHhQ/ZQM1D0TUCq/7wYGHlHVBWByW8gn1Kv0fmgrEmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:45:40.611487Z"},"content_sha256":"1fc360ab32c11c52bc4874aa3bdc44d13da4b62aac2aa6f82e5316f1021ee089","schema_version":"1.0","event_id":"sha256:1fc360ab32c11c52bc4874aa3bdc44d13da4b62aac2aa6f82e5316f1021ee089"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/bundle.json","state_url":"https://pith.science/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/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":"2026-08-24T03:45:40Z","links":{"resolver":"https://pith.science/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ","bundle":"https://pith.science/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/bundle.json","state":"https://pith.science/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IB73IDBLHLB4QMR7L6ZWAV7KOJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:IB73IDBLHLB4QMR7L6ZWAV7KOJ","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":"b93358663d4e19bbcc4d1e4c93a30b1dd0607cba2d12997fe2807f2adcdc4969","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-16T17:12:33Z","title_canon_sha256":"c476884c41ffdb9518e68fb4495e1a0accf731839556a6e56e91e4c0570229a4"},"schema_version":"1.0","source":{"id":"2104.08230","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08230","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08230v3","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08230","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_12","alias_value":"IB73IDBLHLB4","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_16","alias_value":"IB73IDBLHLB4QMR7","created_at":"2026-07-05T03:20:35Z"},{"alias_kind":"pith_short_8","alias_value":"IB73IDBL","created_at":"2026-07-05T03:20:35Z"}],"graph_snapshots":[{"event_id":"sha256:1fc360ab32c11c52bc4874aa3bdc44d13da4b62aac2aa6f82e5316f1021ee089","target":"graph","created_at":"2026-07-05T03:20:35Z","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/2104.08230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new approach to human clothing modeling based on point clouds. Within this approach, we learn a deep model that can predict point clouds of various outfits, for various human poses, and for various human body shapes. Notably, outfits of various types and topologies can be handled by the same model. Using the learned model, we can infer the geometry of new outfits from as little as a single image, and perform outfit retargeting to new bodies in new poses. We complement our geometric model with appearance modeling that uses the point cloud geometry as a geometric scaffolding and emp","authors_text":"Artur Grigorev, Ilya Zakharkin, Kirill Mazur, Victor Lempitsky","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-16T17:12:33Z","title":"Point-Based Modeling of Human Clothing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08230","kind":"arxiv","version":3},"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":"sha256:3e77c982ab1ecb637b3ec0ef01d752777320cd18dfb8d34bcc8229ed87e8df82","target":"record","created_at":"2026-07-05T03:20:35Z","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":"b93358663d4e19bbcc4d1e4c93a30b1dd0607cba2d12997fe2807f2adcdc4969","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-16T17:12:33Z","title_canon_sha256":"c476884c41ffdb9518e68fb4495e1a0accf731839556a6e56e91e4c0570229a4"},"schema_version":"1.0","source":{"id":"2104.08230","kind":"arxiv","version":3}},"canonical_sha256":"407fb40c2b3ac3c8323f5fb36057ea727a86cb3b217676a7aec35bdad9edcabd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"407fb40c2b3ac3c8323f5fb36057ea727a86cb3b217676a7aec35bdad9edcabd","first_computed_at":"2026-07-05T03:20:35.574219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:35.574219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YlMgeYvgQDPBoQU2BBpOfBGRKw+UF87Rvqv0IwvyCY5/8CygiZeeW33zL+GecfMGvSqD3ratrPmST6V9rc+3AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:35.574684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.08230","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e77c982ab1ecb637b3ec0ef01d752777320cd18dfb8d34bcc8229ed87e8df82","sha256:1fc360ab32c11c52bc4874aa3bdc44d13da4b62aac2aa6f82e5316f1021ee089"],"state_sha256":"cab7a26ac3706c01238162304cf13536f636840a3967de542726d94b8635d868"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3znU0LXjDrO2QvgCPriIUOW0CPjHHQY7JdAxhsAnN6BuTqVQymauqp7QySVEQ14zNSzL2jQ30rQmB1mbtxUJAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T03:45:40.619254Z","bundle_sha256":"57b010e1b40cf1f15bfe81f24adb19cea3e443c775de1e4188c97f0b4b4cb0ce"}}