{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:HTGRN5JU6OU75LO3SFRYP4T5FA","short_pith_number":"pith:HTGRN5JU","schema_version":"1.0","canonical_sha256":"3ccd16f534f3a9feaddb916387f27d2834e24036184f44eebcf80e99663342b3","source":{"kind":"arxiv","id":"2508.18944","version":1},"attestation_state":"computed","paper":{"title":"PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Shanmuganathan Raman, Shashikant Verma","submitted_at":"2025-08-26T11:36:14Z","abstract_excerpt":"Achieving realistic hair strand synthesis is essential for creating lifelike digital humans, but producing high-fidelity hair strand geometry remains a significant challenge. Existing methods require a complex setup for data acquisition, involving multi-view images captured in constrained studio environments. Additionally, these methods have longer hair volume estimation and strand synthesis times, which hinder efficiency. We introduce PanoHair, a model that estimates head geometry as signed distance fields using knowledge distillation from a pre-trained generative teacher model for head synth"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.18944","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-08-26T11:36:14Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"627108d293cbc7b21eab9e5392f928089ec6f880a399de1cf74c425bfc9904f7","abstract_canon_sha256":"593b9cd26e4b27d7d97f5ea619625160960e5726b064823d669fc92208856e6c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:34.142459Z","signature_b64":"NBWnAV6Q/yUHg3gVmufHzPVDg/ALkamRnsMFQQcGJG7tnrYGzSmusLJbsjbZRV5Y+RRQqIUTaosAwaM4jPARDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ccd16f534f3a9feaddb916387f27d2834e24036184f44eebcf80e99663342b3","last_reissued_at":"2026-07-05T11:59:34.142071Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:34.142071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Shanmuganathan Raman, Shashikant Verma","submitted_at":"2025-08-26T11:36:14Z","abstract_excerpt":"Achieving realistic hair strand synthesis is essential for creating lifelike digital humans, but producing high-fidelity hair strand geometry remains a significant challenge. Existing methods require a complex setup for data acquisition, involving multi-view images captured in constrained studio environments. Additionally, these methods have longer hair volume estimation and strand synthesis times, which hinder efficiency. We introduce PanoHair, a model that estimates head geometry as signed distance fields using knowledge distillation from a pre-trained generative teacher model for head synth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18944","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/2508.18944/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.18944","created_at":"2026-07-05T11:59:34.142127+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.18944v1","created_at":"2026-07-05T11:59:34.142127+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18944","created_at":"2026-07-05T11:59:34.142127+00:00"},{"alias_kind":"pith_short_12","alias_value":"HTGRN5JU6OU7","created_at":"2026-07-05T11:59:34.142127+00:00"},{"alias_kind":"pith_short_16","alias_value":"HTGRN5JU6OU75LO3","created_at":"2026-07-05T11:59:34.142127+00:00"},{"alias_kind":"pith_short_8","alias_value":"HTGRN5JU","created_at":"2026-07-05T11:59:34.142127+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA","json":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA.json","graph_json":"https://pith.science/api/pith-number/HTGRN5JU6OU75LO3SFRYP4T5FA/graph.json","events_json":"https://pith.science/api/pith-number/HTGRN5JU6OU75LO3SFRYP4T5FA/events.json","paper":"https://pith.science/paper/HTGRN5JU"},"agent_actions":{"view_html":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA","download_json":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA.json","view_paper":"https://pith.science/paper/HTGRN5JU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.18944&json=true","fetch_graph":"https://pith.science/api/pith-number/HTGRN5JU6OU75LO3SFRYP4T5FA/graph.json","fetch_events":"https://pith.science/api/pith-number/HTGRN5JU6OU75LO3SFRYP4T5FA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA/action/storage_attestation","attest_author":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA/action/author_attestation","sign_citation":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA/action/citation_signature","submit_replication":"https://pith.science/pith/HTGRN5JU6OU75LO3SFRYP4T5FA/action/replication_record"}},"created_at":"2026-07-05T11:59:34.142127+00:00","updated_at":"2026-07-05T11:59:34.142127+00:00"}