{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:CYE7MLCCE3COHU6O2G5DTRDLKH","short_pith_number":"pith:CYE7MLCC","schema_version":"1.0","canonical_sha256":"1609f62c4226c4e3d3ced1ba39c46b51dbbc0e03bfc8367649e6e5896cf61b06","source":{"kind":"arxiv","id":"2109.06395","version":2},"attestation_state":"computed","paper":{"title":"An Inverse Procedural Modeling Pipeline for SVBRDF Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Chengan He, Holly Rushmeier, Julie Dorsey, Valentin Deschaintre, Yiwei Hu","submitted_at":"2021-09-14T01:49:36Z","abstract_excerpt":"Procedural modeling is now the de facto standard of material modeling in industry. Procedural models can be edited and are easily extended, unlike pixel-based representations of captured materials. In this paper, we present a semi-automatic pipeline for general material proceduralization. Given Spatially-Varying Bidirectional Reflectance Distribution Functions (SVBRDFs) represented as sets of pixel maps, our pipeline decomposes them into a tree of sub-materials whose spatial distributions are encoded by their associated mask maps. This semi-automatic decomposition of material maps progresses h"},"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":"2109.06395","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2021-09-14T01:49:36Z","cross_cats_sorted":[],"title_canon_sha256":"21988e8dd2bbce0f234a60f5ca449c636ba643d3fccf4abfc91f05ba48528536","abstract_canon_sha256":"f1a6e321ff27f87dc7fe2aeecf88ddd9b7c97892143429efbc8dedeeae9e581b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:36:08.813396Z","signature_b64":"kQqWYGHPpwrpnZapY7Et64+zsyWtJr6rtlnRbo/nx8yxvbplucl43N9bFwKJFmAm9ZtFgsR1BCH66d7ynSBlCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1609f62c4226c4e3d3ced1ba39c46b51dbbc0e03bfc8367649e6e5896cf61b06","last_reissued_at":"2026-07-05T04:36:08.813016Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:36:08.813016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Inverse Procedural Modeling Pipeline for SVBRDF Maps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Chengan He, Holly Rushmeier, Julie Dorsey, Valentin Deschaintre, Yiwei Hu","submitted_at":"2021-09-14T01:49:36Z","abstract_excerpt":"Procedural modeling is now the de facto standard of material modeling in industry. Procedural models can be edited and are easily extended, unlike pixel-based representations of captured materials. In this paper, we present a semi-automatic pipeline for general material proceduralization. Given Spatially-Varying Bidirectional Reflectance Distribution Functions (SVBRDFs) represented as sets of pixel maps, our pipeline decomposes them into a tree of sub-materials whose spatial distributions are encoded by their associated mask maps. This semi-automatic decomposition of material maps progresses h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.06395","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/2109.06395/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":"2109.06395","created_at":"2026-07-05T04:36:08.813072+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.06395v2","created_at":"2026-07-05T04:36:08.813072+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.06395","created_at":"2026-07-05T04:36:08.813072+00:00"},{"alias_kind":"pith_short_12","alias_value":"CYE7MLCCE3CO","created_at":"2026-07-05T04:36:08.813072+00:00"},{"alias_kind":"pith_short_16","alias_value":"CYE7MLCCE3COHU6O","created_at":"2026-07-05T04:36:08.813072+00:00"},{"alias_kind":"pith_short_8","alias_value":"CYE7MLCC","created_at":"2026-07-05T04:36:08.813072+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/CYE7MLCCE3COHU6O2G5DTRDLKH","json":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH.json","graph_json":"https://pith.science/api/pith-number/CYE7MLCCE3COHU6O2G5DTRDLKH/graph.json","events_json":"https://pith.science/api/pith-number/CYE7MLCCE3COHU6O2G5DTRDLKH/events.json","paper":"https://pith.science/paper/CYE7MLCC"},"agent_actions":{"view_html":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH","download_json":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH.json","view_paper":"https://pith.science/paper/CYE7MLCC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.06395&json=true","fetch_graph":"https://pith.science/api/pith-number/CYE7MLCCE3COHU6O2G5DTRDLKH/graph.json","fetch_events":"https://pith.science/api/pith-number/CYE7MLCCE3COHU6O2G5DTRDLKH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH/action/storage_attestation","attest_author":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH/action/author_attestation","sign_citation":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH/action/citation_signature","submit_replication":"https://pith.science/pith/CYE7MLCCE3COHU6O2G5DTRDLKH/action/replication_record"}},"created_at":"2026-07-05T04:36:08.813072+00:00","updated_at":"2026-07-05T04:36:08.813072+00:00"}