{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RFZOQDKYXE3RQKGYQNHSWZLD2X","short_pith_number":"pith:RFZOQDKY","canonical_record":{"source":{"id":"2606.25065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-23T18:18:58Z","cross_cats_sorted":[],"title_canon_sha256":"d05244f7f673dff0ffd7efb840ba19103a8cba94326e0ae885d865d41c070bb6","abstract_canon_sha256":"59ba13a77c8c3e6e646addc0fb0ebb0ee21c53e49aaf35b66d214e7c6860dd61"},"schema_version":"1.0"},"canonical_sha256":"8972e80d58b9371828d8834f2b6563d5cadd819f9b65f2e54f5d1d3d4c45ff81","source":{"kind":"arxiv","id":"2606.25065","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25065","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25065v1","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25065","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"RFZOQDKYXE3R","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"RFZOQDKYXE3RQKGY","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"RFZOQDKY","created_at":"2026-06-25T00:18:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RFZOQDKYXE3RQKGYQNHSWZLD2X","target":"record","payload":{"canonical_record":{"source":{"id":"2606.25065","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-23T18:18:58Z","cross_cats_sorted":[],"title_canon_sha256":"d05244f7f673dff0ffd7efb840ba19103a8cba94326e0ae885d865d41c070bb6","abstract_canon_sha256":"59ba13a77c8c3e6e646addc0fb0ebb0ee21c53e49aaf35b66d214e7c6860dd61"},"schema_version":"1.0"},"canonical_sha256":"8972e80d58b9371828d8834f2b6563d5cadd819f9b65f2e54f5d1d3d4c45ff81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T00:18:16.798863Z","signature_b64":"FsyuZx5ezFISiIOH2QhKXWdP8ujMrYEmohJQfev168gMgqo+RS/TlymwLoFvB1+s5wXK06ZxYJ9te4iM+QXdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8972e80d58b9371828d8834f2b6563d5cadd819f9b65f2e54f5d1d3d4c45ff81","last_reissued_at":"2026-06-25T00:18:16.798472Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T00:18:16.798472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.25065","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":"2026-06-25T00:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpVTsG0EIUjP+tu56xy7Kj5ZXBJV1HScdnM/8geveO3ClTfyTAP5/z+EsdvZcNrgQx+sJGOPWYgRedYGhcGeCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:29:03.803152Z"},"content_sha256":"5407df4f0348f3cb99e8740bbac727df6f4397951f20ebfc145de2a1b282783e","schema_version":"1.0","event_id":"sha256:5407df4f0348f3cb99e8740bbac727df6f4397951f20ebfc145de2a1b282783e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RFZOQDKYXE3RQKGYQNHSWZLD2X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-supervised Garment Dynamics with Persistent Wrinkles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Deshan Gong, He Wang, Taku Komura, Xiaoyuan Yang","submitted_at":"2026-06-23T18:18:58Z","abstract_excerpt":"The self-supervised neural garment simulator has become popular due to its high efficiency, good visual realism, and no reliance on training data. However, existing methods greatly simplify the mechanical properties of fabrics, ignoring persistent wrinkles caused by plasticity. Although this simplification allows for modeling of purely elastic material and simple training via energy minimization, the lack of believable wrinkles adversely affects the visual realism. Therefore, we introduce the first self-supervised neural garment simulator that explicitly models persistent wrinkles. This is ach"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25065","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/2606.25065/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":"2026-06-25T00:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gvlWcsQAlq8x8r8FuQxM64SS9zhpHooh6LvpvW1Ve/cWnoqiiGYEdiGlb4Jd+coaOpjjuhJuBOXEjpXftvyMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:29:03.803692Z"},"content_sha256":"8410a332ee2ecd38265d53cdc4067d41f8c99b9bc4821af3db7262d2d47709ea","schema_version":"1.0","event_id":"sha256:8410a332ee2ecd38265d53cdc4067d41f8c99b9bc4821af3db7262d2d47709ea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/bundle.json","state_url":"https://pith.science/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/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":"2026-08-09T10:29:03Z","links":{"resolver":"https://pith.science/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X","bundle":"https://pith.science/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/bundle.json","state":"https://pith.science/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFZOQDKYXE3RQKGYQNHSWZLD2X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RFZOQDKYXE3RQKGYQNHSWZLD2X","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":"59ba13a77c8c3e6e646addc0fb0ebb0ee21c53e49aaf35b66d214e7c6860dd61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-23T18:18:58Z","title_canon_sha256":"d05244f7f673dff0ffd7efb840ba19103a8cba94326e0ae885d865d41c070bb6"},"schema_version":"1.0","source":{"id":"2606.25065","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25065","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25065v1","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25065","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"RFZOQDKYXE3R","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"RFZOQDKYXE3RQKGY","created_at":"2026-06-25T00:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"RFZOQDKY","created_at":"2026-06-25T00:18:16Z"}],"graph_snapshots":[{"event_id":"sha256:8410a332ee2ecd38265d53cdc4067d41f8c99b9bc4821af3db7262d2d47709ea","target":"graph","created_at":"2026-06-25T00:18:16Z","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/2606.25065/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The self-supervised neural garment simulator has become popular due to its high efficiency, good visual realism, and no reliance on training data. However, existing methods greatly simplify the mechanical properties of fabrics, ignoring persistent wrinkles caused by plasticity. Although this simplification allows for modeling of purely elastic material and simple training via energy minimization, the lack of believable wrinkles adversely affects the visual realism. Therefore, we introduce the first self-supervised neural garment simulator that explicitly models persistent wrinkles. This is ach","authors_text":"Deshan Gong, He Wang, Taku Komura, Xiaoyuan Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-23T18:18:58Z","title":"Self-supervised Garment Dynamics with Persistent Wrinkles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25065","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":"sha256:5407df4f0348f3cb99e8740bbac727df6f4397951f20ebfc145de2a1b282783e","target":"record","created_at":"2026-06-25T00:18:16Z","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":"59ba13a77c8c3e6e646addc0fb0ebb0ee21c53e49aaf35b66d214e7c6860dd61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-23T18:18:58Z","title_canon_sha256":"d05244f7f673dff0ffd7efb840ba19103a8cba94326e0ae885d865d41c070bb6"},"schema_version":"1.0","source":{"id":"2606.25065","kind":"arxiv","version":1}},"canonical_sha256":"8972e80d58b9371828d8834f2b6563d5cadd819f9b65f2e54f5d1d3d4c45ff81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8972e80d58b9371828d8834f2b6563d5cadd819f9b65f2e54f5d1d3d4c45ff81","first_computed_at":"2026-06-25T00:18:16.798472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T00:18:16.798472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FsyuZx5ezFISiIOH2QhKXWdP8ujMrYEmohJQfev168gMgqo+RS/TlymwLoFvB1+s5wXK06ZxYJ9te4iM+QXdCA==","signature_status":"signed_v1","signed_at":"2026-06-25T00:18:16.798863Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25065","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5407df4f0348f3cb99e8740bbac727df6f4397951f20ebfc145de2a1b282783e","sha256:8410a332ee2ecd38265d53cdc4067d41f8c99b9bc4821af3db7262d2d47709ea"],"state_sha256":"cc80a3878bfa7cd43674d30e3269d7a695a23da066cf75410e73d1b2d7761a0b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oq9XQ8RbLrVaV8cEA0tYQExG9SetBXJX2s8Xl7htcZOSJ3VyvPG5IaPBEoFxMFwyt/XsUrh5cxwmcrXAgGVODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T10:29:03.808913Z","bundle_sha256":"6462f103c40ab8d73bb4aed80b0632908b98eb6b2c29c03e5383a982997a3b92"}}