{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QNHEIASYFNFFY527RIHEP2K4UB","short_pith_number":"pith:QNHEIASY","canonical_record":{"source":{"id":"2412.07766","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T18:58:29Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"8a71191814e547ced4cedce1368d738b011104c75424738f46918934ba1483ea","abstract_canon_sha256":"f92bfabf18f7ed1b9c3ab34fa673272e64fbade9ad506b9ba2ac9868265f8270"},"schema_version":"1.0"},"canonical_sha256":"834e4402582b4a5c775f8a0e47e95ca0414716fe13fce2cc3188a51b66958cc9","source":{"kind":"arxiv","id":"2412.07766","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07766","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07766v2","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07766","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"QNHEIASYFNFF","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"QNHEIASYFNFFY527","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"QNHEIASY","created_at":"2026-07-05T10:05:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QNHEIASYFNFFY527RIHEP2K4UB","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07766","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T18:58:29Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"8a71191814e547ced4cedce1368d738b011104c75424738f46918934ba1483ea","abstract_canon_sha256":"f92bfabf18f7ed1b9c3ab34fa673272e64fbade9ad506b9ba2ac9868265f8270"},"schema_version":"1.0"},"canonical_sha256":"834e4402582b4a5c775f8a0e47e95ca0414716fe13fce2cc3188a51b66958cc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:47.159793Z","signature_b64":"6i5mHqv0SIMxMxrgADGrg2T49FrOarF1UR+bWuTZV//21Sb//3Vnd5h1YzUm3JSBDW+7JBriqyIFfYlArgTtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"834e4402582b4a5c775f8a0e47e95ca0414716fe13fce2cc3188a51b66958cc9","last_reissued_at":"2026-07-05T10:05:47.159274Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:47.159274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07766","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":"2026-07-05T10:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/BgwNO2DJnotRiJ3BAJa84JpP7eB9QaEadbEzq6hvXOas8KsZFTtT20Hc9CXnBVrgIh+XKa2b4l/TccQ3VdcAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:56:18.703504Z"},"content_sha256":"842456483bc2494bfd3703bd1b7494bf68b2b28d572ee2361a3db6e6dd88ce57","schema_version":"1.0","event_id":"sha256:842456483bc2494bfd3703bd1b7494bf68b2b28d572ee2361a3db6e6dd88ce57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QNHEIASYFNFFY527RIHEP2K4UB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Forrest Iandola, Ita Lifshitz, Liat Sless Gorelik, Omri Armstrong, Rakesh Ranjan, Xiaoyu Xiang, Yilei Li, Yuchen Fan","submitted_at":"2024-12-10T18:58:29Z","abstract_excerpt":"We present Make-A-Texture, a new framework that efficiently synthesizes high-resolution texture maps from textual prompts for given 3D geometries. Our approach progressively generates textures that are consistent across multiple viewpoints with a depth-aware inpainting diffusion model, in an optimized sequence of viewpoints determined by an automatic view selection algorithm.\n  A significant feature of our method is its remarkable efficiency, achieving a full texture generation within an end-to-end runtime of just 3.07 seconds on a single NVIDIA H100 GPU, significantly outperforming existing m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07766","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/2412.07766/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":"2026-07-05T10:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9RRoiPZEWXH5nyYIb4uoSrm2oXnm6LzC4H36ubDj3jWDDzyzV/O8fDwnD1Wg6l6K06zfsJ0si4o1P/cKwsn1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T09:56:18.704479Z"},"content_sha256":"a2f8a1ebb2c584da4b3168af8f0ea9a42274545662834ef2b4d039d3272d786f","schema_version":"1.0","event_id":"sha256:a2f8a1ebb2c584da4b3168af8f0ea9a42274545662834ef2b4d039d3272d786f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QNHEIASYFNFFY527RIHEP2K4UB/bundle.json","state_url":"https://pith.science/pith/QNHEIASYFNFFY527RIHEP2K4UB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QNHEIASYFNFFY527RIHEP2K4UB/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":"2026-08-09T09:56:18Z","links":{"resolver":"https://pith.science/pith/QNHEIASYFNFFY527RIHEP2K4UB","bundle":"https://pith.science/pith/QNHEIASYFNFFY527RIHEP2K4UB/bundle.json","state":"https://pith.science/pith/QNHEIASYFNFFY527RIHEP2K4UB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QNHEIASYFNFFY527RIHEP2K4UB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QNHEIASYFNFFY527RIHEP2K4UB","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":"f92bfabf18f7ed1b9c3ab34fa673272e64fbade9ad506b9ba2ac9868265f8270","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T18:58:29Z","title_canon_sha256":"8a71191814e547ced4cedce1368d738b011104c75424738f46918934ba1483ea"},"schema_version":"1.0","source":{"id":"2412.07766","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07766","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07766v2","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07766","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"QNHEIASYFNFF","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"QNHEIASYFNFFY527","created_at":"2026-07-05T10:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"QNHEIASY","created_at":"2026-07-05T10:05:47Z"}],"graph_snapshots":[{"event_id":"sha256:a2f8a1ebb2c584da4b3168af8f0ea9a42274545662834ef2b4d039d3272d786f","target":"graph","created_at":"2026-07-05T10:05:47Z","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/2412.07766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Make-A-Texture, a new framework that efficiently synthesizes high-resolution texture maps from textual prompts for given 3D geometries. Our approach progressively generates textures that are consistent across multiple viewpoints with a depth-aware inpainting diffusion model, in an optimized sequence of viewpoints determined by an automatic view selection algorithm.\n  A significant feature of our method is its remarkable efficiency, achieving a full texture generation within an end-to-end runtime of just 3.07 seconds on a single NVIDIA H100 GPU, significantly outperforming existing m","authors_text":"Forrest Iandola, Ita Lifshitz, Liat Sless Gorelik, Omri Armstrong, Rakesh Ranjan, Xiaoyu Xiang, Yilei Li, Yuchen Fan","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T18:58:29Z","title":"Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07766","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":"sha256:842456483bc2494bfd3703bd1b7494bf68b2b28d572ee2361a3db6e6dd88ce57","target":"record","created_at":"2026-07-05T10:05:47Z","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":"f92bfabf18f7ed1b9c3ab34fa673272e64fbade9ad506b9ba2ac9868265f8270","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T18:58:29Z","title_canon_sha256":"8a71191814e547ced4cedce1368d738b011104c75424738f46918934ba1483ea"},"schema_version":"1.0","source":{"id":"2412.07766","kind":"arxiv","version":2}},"canonical_sha256":"834e4402582b4a5c775f8a0e47e95ca0414716fe13fce2cc3188a51b66958cc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"834e4402582b4a5c775f8a0e47e95ca0414716fe13fce2cc3188a51b66958cc9","first_computed_at":"2026-07-05T10:05:47.159274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:47.159274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6i5mHqv0SIMxMxrgADGrg2T49FrOarF1UR+bWuTZV//21Sb//3Vnd5h1YzUm3JSBDW+7JBriqyIFfYlArgTtBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:47.159793Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07766","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:842456483bc2494bfd3703bd1b7494bf68b2b28d572ee2361a3db6e6dd88ce57","sha256:a2f8a1ebb2c584da4b3168af8f0ea9a42274545662834ef2b4d039d3272d786f"],"state_sha256":"327ae99a654b902e6276fb75948ecfa387b3f7836c89946bc5b13b16b77242d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iTBIExbyKu5N8SuA/10OErlTsAjk8QiiBA3bPzEjWrXRGrehgoOOBY/Gmc+nihF/BJ6dpHBdoJb90x5lYpJmBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T09:56:18.710958Z","bundle_sha256":"842fec130448ac3f74639ea50890bf9e194e6cc8f90e4db0718e6b43e787ebf0"}}