{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FJIZKJFWGM2BBSF7IWDB7AD6LC","short_pith_number":"pith:FJIZKJFW","canonical_record":{"source":{"id":"2212.00613","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-01T16:09:54Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"873a0c4a0a3b132a783dbbc3906e5142316dcbfd07e418dc588de31af17a5fb7","abstract_canon_sha256":"cf7593808f0634736939dab4d5eab25e336603dc3d6ada3b1cbb3cb7befa454d"},"schema_version":"1.0"},"canonical_sha256":"2a519524b6333410c8bf45861f807e5885574f5038ba565e87a84731f52bdd81","source":{"kind":"arxiv","id":"2212.00613","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.00613","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"arxiv_version","alias_value":"2212.00613v3","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.00613","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_12","alias_value":"FJIZKJFWGM2B","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_16","alias_value":"FJIZKJFWGM2BBSF7","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_8","alias_value":"FJIZKJFW","created_at":"2026-07-05T06:59:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FJIZKJFWGM2BBSF7IWDB7AD6LC","target":"record","payload":{"canonical_record":{"source":{"id":"2212.00613","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-01T16:09:54Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"873a0c4a0a3b132a783dbbc3906e5142316dcbfd07e418dc588de31af17a5fb7","abstract_canon_sha256":"cf7593808f0634736939dab4d5eab25e336603dc3d6ada3b1cbb3cb7befa454d"},"schema_version":"1.0"},"canonical_sha256":"2a519524b6333410c8bf45861f807e5885574f5038ba565e87a84731f52bdd81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:59:50.421502Z","signature_b64":"dkGyUFmNUsl93RHPI/CGHoEmtI5JDYg7NYvfZHHcdq345+4ucfJwN1A4hWjoX/uInfVmmls2MwQ+qgOBrW/mAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a519524b6333410c8bf45861f807e5885574f5038ba565e87a84731f52bdd81","last_reissued_at":"2026-07-05T06:59:50.421078Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:59:50.421078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.00613","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":"2026-07-05T06:59:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QnmlvJSGQ097n1gCaZ+mT0ove20uEFHmHgrtY/cZmMjQYrDhBOZHYXO+jGEVwa2ZoW8SdrfxyMKa3cW5pE8pDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:58:04.149204Z"},"content_sha256":"75164fd97d472582dc18108358af95d4c45288ce95d4a146b95f5a6ee0bda593","schema_version":"1.0","event_id":"sha256:75164fd97d472582dc18108358af95d4c45288ce95d4a146b95f5a6ee0bda593"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FJIZKJFWGM2BBSF7IWDB7AD6LC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Chen Cao, Christoph Lassner, Giljoo Nam, Jason Saragih, Jessica Hodgins, Michael Zollhoefer, Stephen Lombardi, Tuur Stuyck, Ziyan Wang","submitted_at":"2022-12-01T16:09:54Z","abstract_excerpt":"The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because hair has complex geometry and appearance, as well as exhibits challenging motion. In this paper, we present a two-stage approach that models hair independently from the head to address these challenges in a data-driven manner. The first stage, state compression, learns a low-dimensional latent space of 3D hair states containing motion and appearance, via a novel autoencoder-as-a-tracker strategy. To better disentangl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.00613","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/2212.00613/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":"2026-07-05T06:59:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NFSm/Hx3T+OropV9czK65V9W5CvPiMv/zIedphRhZUHCcvcLnymhISnKy1euuwNor4+XZZsSx36++Q6KOhn7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:58:04.149591Z"},"content_sha256":"b0dbdd02c15e69fb04c3a162472d307e739bfec6a59f89eb7738f532360673cc","schema_version":"1.0","event_id":"sha256:b0dbdd02c15e69fb04c3a162472d307e739bfec6a59f89eb7738f532360673cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/bundle.json","state_url":"https://pith.science/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/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":"2026-08-03T17:58:04Z","links":{"resolver":"https://pith.science/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC","bundle":"https://pith.science/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/bundle.json","state":"https://pith.science/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJIZKJFWGM2BBSF7IWDB7AD6LC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FJIZKJFWGM2BBSF7IWDB7AD6LC","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":"cf7593808f0634736939dab4d5eab25e336603dc3d6ada3b1cbb3cb7befa454d","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-01T16:09:54Z","title_canon_sha256":"873a0c4a0a3b132a783dbbc3906e5142316dcbfd07e418dc588de31af17a5fb7"},"schema_version":"1.0","source":{"id":"2212.00613","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.00613","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"arxiv_version","alias_value":"2212.00613v3","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.00613","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_12","alias_value":"FJIZKJFWGM2B","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_16","alias_value":"FJIZKJFWGM2BBSF7","created_at":"2026-07-05T06:59:50Z"},{"alias_kind":"pith_short_8","alias_value":"FJIZKJFW","created_at":"2026-07-05T06:59:50Z"}],"graph_snapshots":[{"event_id":"sha256:b0dbdd02c15e69fb04c3a162472d307e739bfec6a59f89eb7738f532360673cc","target":"graph","created_at":"2026-07-05T06:59:50Z","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/2212.00613/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because hair has complex geometry and appearance, as well as exhibits challenging motion. In this paper, we present a two-stage approach that models hair independently from the head to address these challenges in a data-driven manner. The first stage, state compression, learns a low-dimensional latent space of 3D hair states containing motion and appearance, via a novel autoencoder-as-a-tracker strategy. To better disentangl","authors_text":"Chen Cao, Christoph Lassner, Giljoo Nam, Jason Saragih, Jessica Hodgins, Michael Zollhoefer, Stephen Lombardi, Tuur Stuyck, Ziyan Wang","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-01T16:09:54Z","title":"NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.00613","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":"sha256:75164fd97d472582dc18108358af95d4c45288ce95d4a146b95f5a6ee0bda593","target":"record","created_at":"2026-07-05T06:59:50Z","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":"cf7593808f0634736939dab4d5eab25e336603dc3d6ada3b1cbb3cb7befa454d","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-01T16:09:54Z","title_canon_sha256":"873a0c4a0a3b132a783dbbc3906e5142316dcbfd07e418dc588de31af17a5fb7"},"schema_version":"1.0","source":{"id":"2212.00613","kind":"arxiv","version":3}},"canonical_sha256":"2a519524b6333410c8bf45861f807e5885574f5038ba565e87a84731f52bdd81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a519524b6333410c8bf45861f807e5885574f5038ba565e87a84731f52bdd81","first_computed_at":"2026-07-05T06:59:50.421078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:59:50.421078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dkGyUFmNUsl93RHPI/CGHoEmtI5JDYg7NYvfZHHcdq345+4ucfJwN1A4hWjoX/uInfVmmls2MwQ+qgOBrW/mAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:59:50.421502Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.00613","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75164fd97d472582dc18108358af95d4c45288ce95d4a146b95f5a6ee0bda593","sha256:b0dbdd02c15e69fb04c3a162472d307e739bfec6a59f89eb7738f532360673cc"],"state_sha256":"b497208ace0a02ca8e8dfd4c51036c5f394c9bca1ee580d7bca1f51ea3841806"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XmrqMF7isUZndB6iObzvGU89p0deNZyh+gR40QvxyCKcUy06hyemtWiXi54SX1AZfLTQgaQ6wWkuQ7Wf4QVmAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:58:04.151858Z","bundle_sha256":"5552ba173388407bb7cb5a89ab10589d6a20dffc07c03445c1abb6b85b24f884"}}