{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LNMVA3SVDIWBZ53J4OYURZ6TMR","short_pith_number":"pith:LNMVA3SV","canonical_record":{"source":{"id":"2403.17496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T08:53:25Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"37ebeb749f70a5105473337f5c6d07ede3aea02647bc02385c2a9ba82b643e04","abstract_canon_sha256":"6720c077b23e6c2728ca7deca9ad781b09e5af11909f368f095961cc874c92e4"},"schema_version":"1.0"},"canonical_sha256":"5b59506e551a2c1cf769e3b148e7d3646c1ac85a4d4696a38b61bf3497d89331","source":{"kind":"arxiv","id":"2403.17496","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17496","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17496v2","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17496","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"LNMVA3SVDIWB","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_16","alias_value":"LNMVA3SVDIWBZ53J","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_8","alias_value":"LNMVA3SV","created_at":"2026-07-05T08:02:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LNMVA3SVDIWBZ53J4OYURZ6TMR","target":"record","payload":{"canonical_record":{"source":{"id":"2403.17496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T08:53:25Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"37ebeb749f70a5105473337f5c6d07ede3aea02647bc02385c2a9ba82b643e04","abstract_canon_sha256":"6720c077b23e6c2728ca7deca9ad781b09e5af11909f368f095961cc874c92e4"},"schema_version":"1.0"},"canonical_sha256":"5b59506e551a2c1cf769e3b148e7d3646c1ac85a4d4696a38b61bf3497d89331","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:02:06.544710Z","signature_b64":"uD+Rk/5iHawJrkaSU7CBmB49Wj0AG6H+iykihdLyvI0tr6oOJTKOwqchVwkcFZVGsWGqmQPBC1zkvmFZmcZXAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b59506e551a2c1cf769e3b148e7d3646c1ac85a4d4696a38b61bf3497d89331","last_reissued_at":"2026-07-05T08:02:06.544158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:02:06.544158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.17496","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":"2026-07-05T08:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P3ezWTEt5c8DkgAUUVS2GbdqVl0quriKZ/eM61BgVNEJ8T7Oh8Xx1dgnf3UIY7B5JX0Fux+NqDNHJ43quu6PCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:47:05.427449Z"},"content_sha256":"8ae7c9e6d3b240500a2660d9b331574f8ffd49a6b0e82949e01a9c615d2a6977","schema_version":"1.0","event_id":"sha256:8ae7c9e6d3b240500a2660d9b331574f8ffd49a6b0e82949e01a9c615d2a6977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LNMVA3SVDIWBZ53J4OYURZ6TMR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Bo Zheng, Hikari Takehara, Hiroyuki Sato, Yusuke Takimoto, Zihao Zhu","submitted_at":"2024-03-26T08:53:25Z","abstract_excerpt":"In the film and gaming industries, achieving a realistic hair appearance typically involves the use of strands originating from the scalp. However, reconstructing these strands from observed surface images of hair presents significant challenges. The difficulty in acquiring Ground Truth (GT) data has led state-of-the-art learning-based methods to rely on pre-training with manually prepared synthetic CG data. This process is not only labor-intensive and costly but also introduces complications due to the domain gap when compared to real-world data. In this study, we propose an optimization-base"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17496","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/2403.17496/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":"2026-07-05T08:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"InNjWIVNYqlfJxWlg3Ev35rlrCh61FMcTfsoagAdcU2OeqINBbwOLQip2dS68KYEvG5+mEJPdvzqE7VP/2Q7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:47:05.427971Z"},"content_sha256":"7f9c14950c8cd162938e7a84387042475691c55b22414cdce39bead34989e822","schema_version":"1.0","event_id":"sha256:7f9c14950c8cd162938e7a84387042475691c55b22414cdce39bead34989e822"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/bundle.json","state_url":"https://pith.science/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/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":"2026-08-06T02:47:05Z","links":{"resolver":"https://pith.science/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR","bundle":"https://pith.science/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/bundle.json","state":"https://pith.science/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LNMVA3SVDIWBZ53J4OYURZ6TMR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LNMVA3SVDIWBZ53J4OYURZ6TMR","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":"6720c077b23e6c2728ca7deca9ad781b09e5af11909f368f095961cc874c92e4","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T08:53:25Z","title_canon_sha256":"37ebeb749f70a5105473337f5c6d07ede3aea02647bc02385c2a9ba82b643e04"},"schema_version":"1.0","source":{"id":"2403.17496","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17496","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17496v2","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17496","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"LNMVA3SVDIWB","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_16","alias_value":"LNMVA3SVDIWBZ53J","created_at":"2026-07-05T08:02:06Z"},{"alias_kind":"pith_short_8","alias_value":"LNMVA3SV","created_at":"2026-07-05T08:02:06Z"}],"graph_snapshots":[{"event_id":"sha256:7f9c14950c8cd162938e7a84387042475691c55b22414cdce39bead34989e822","target":"graph","created_at":"2026-07-05T08:02:06Z","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/2403.17496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the film and gaming industries, achieving a realistic hair appearance typically involves the use of strands originating from the scalp. However, reconstructing these strands from observed surface images of hair presents significant challenges. The difficulty in acquiring Ground Truth (GT) data has led state-of-the-art learning-based methods to rely on pre-training with manually prepared synthetic CG data. This process is not only labor-intensive and costly but also introduces complications due to the domain gap when compared to real-world data. In this study, we propose an optimization-base","authors_text":"Bo Zheng, Hikari Takehara, Hiroyuki Sato, Yusuke Takimoto, Zihao Zhu","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T08:53:25Z","title":"Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17496","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":"sha256:8ae7c9e6d3b240500a2660d9b331574f8ffd49a6b0e82949e01a9c615d2a6977","target":"record","created_at":"2026-07-05T08:02:06Z","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":"6720c077b23e6c2728ca7deca9ad781b09e5af11909f368f095961cc874c92e4","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-26T08:53:25Z","title_canon_sha256":"37ebeb749f70a5105473337f5c6d07ede3aea02647bc02385c2a9ba82b643e04"},"schema_version":"1.0","source":{"id":"2403.17496","kind":"arxiv","version":2}},"canonical_sha256":"5b59506e551a2c1cf769e3b148e7d3646c1ac85a4d4696a38b61bf3497d89331","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b59506e551a2c1cf769e3b148e7d3646c1ac85a4d4696a38b61bf3497d89331","first_computed_at":"2026-07-05T08:02:06.544158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:02:06.544158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uD+Rk/5iHawJrkaSU7CBmB49Wj0AG6H+iykihdLyvI0tr6oOJTKOwqchVwkcFZVGsWGqmQPBC1zkvmFZmcZXAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:02:06.544710Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.17496","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ae7c9e6d3b240500a2660d9b331574f8ffd49a6b0e82949e01a9c615d2a6977","sha256:7f9c14950c8cd162938e7a84387042475691c55b22414cdce39bead34989e822"],"state_sha256":"574eb8606085ab6bf79c21e5e3a31523f33de70c59dac13017037b047fc87277"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Db9ZySVVyO5LeUukdzL0lFq6H1XsBoeIcwsWvgMsE8/0Bx+YF9qgPaDasTHlf4mxUQo8UmWbfniSJCw0JaCRAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:47:05.433653Z","bundle_sha256":"da002e5147ef298805d818fa85825d704ff6eaa40a94e480ad1254d1ee4217c3"}}