{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IERSULOGO6H7QRUIVKIPWIJQEG","short_pith_number":"pith:IERSULOG","canonical_record":{"source":{"id":"2411.10130","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-15T12:02:07Z","cross_cats_sorted":[],"title_canon_sha256":"ff81771de86ed32802c61343caf26eb6cd1748566c21a209c5f7321e1280822a","abstract_canon_sha256":"2aa4c458b1032e20cd1ed75c6e1ace83feaa59ebe800460fb0a713257e038399"},"schema_version":"1.0"},"canonical_sha256":"41232a2dc6778ff84688aa90fb213021ba5bae7cd8594fd4abdcf411dd41b6ab","source":{"kind":"arxiv","id":"2411.10130","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10130","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10130v1","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10130","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"IERSULOGO6H7","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"IERSULOGO6H7QRUI","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"IERSULOG","created_at":"2026-07-05T09:36:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IERSULOGO6H7QRUIVKIPWIJQEG","target":"record","payload":{"canonical_record":{"source":{"id":"2411.10130","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-15T12:02:07Z","cross_cats_sorted":[],"title_canon_sha256":"ff81771de86ed32802c61343caf26eb6cd1748566c21a209c5f7321e1280822a","abstract_canon_sha256":"2aa4c458b1032e20cd1ed75c6e1ace83feaa59ebe800460fb0a713257e038399"},"schema_version":"1.0"},"canonical_sha256":"41232a2dc6778ff84688aa90fb213021ba5bae7cd8594fd4abdcf411dd41b6ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:36:00.197612Z","signature_b64":"FF4Jpl/nhAqgZmi411HhfpWzA+Hi7tSdgMuk+qt1zTQ9ZV7RPLHA4CGUYBhY2VX/mX51c0voZwN7PWPfZELwCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41232a2dc6778ff84688aa90fb213021ba5bae7cd8594fd4abdcf411dd41b6ab","last_reissued_at":"2026-07-05T09:36:00.197130Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:36:00.197130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.10130","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":"2026-07-05T09:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bIXPHFMUUEKX89OA8rYALLBi8R8WJRoMlMSZZpF5WpA6NeRzJiijzBAmQgFTe+WARnIx36k5iLtCwH/d9yVPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:45:59.073117Z"},"content_sha256":"8a497daaaff721374fbb3d45caa465d1a03f13ba7a0100b4719bcc0e49a4a91d","schema_version":"1.0","event_id":"sha256:8a497daaaff721374fbb3d45caa465d1a03f13ba7a0100b4719bcc0e49a4a91d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IERSULOGO6H7QRUIVKIPWIJQEG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cuixin Yang, Hao Xie, Jun Xiao, Kin-Chung Chan, Kin-man Lam, Rongkang Dong, Yushen Zuo, Zongqi He","submitted_at":"2024-11-15T12:02:07Z","abstract_excerpt":"The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applying 2D style transfer methods to 3D scenes often fails to preserve the structural and multi-view properties of 3D environments, resulting in unpleasant distortions in images from different viewpoints. To address these issues, we leverage the remarkable generative prior of diffusion-based models and propose a novel style transfer method, OSDiffST, based on a pre-trained one-step diffusion model (i.e., SD-Turbo) for ren"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10130","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/2411.10130/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":"2026-07-05T09:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iX6x/3lxvAsM1Zy7apfVfpVnZ7P5rwgcmS3tJVDMTSdM3yOsVyXrg1dEicml/cxRZamA4eZy0bN+Z+QAlnN0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:45:59.075100Z"},"content_sha256":"cf000b1440f88c24923a182fa1d90e05c1cb9876edc1665184b91b16b1abc854","schema_version":"1.0","event_id":"sha256:cf000b1440f88c24923a182fa1d90e05c1cb9876edc1665184b91b16b1abc854"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IERSULOGO6H7QRUIVKIPWIJQEG/bundle.json","state_url":"https://pith.science/pith/IERSULOGO6H7QRUIVKIPWIJQEG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IERSULOGO6H7QRUIVKIPWIJQEG/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":"2026-08-06T17:45:59Z","links":{"resolver":"https://pith.science/pith/IERSULOGO6H7QRUIVKIPWIJQEG","bundle":"https://pith.science/pith/IERSULOGO6H7QRUIVKIPWIJQEG/bundle.json","state":"https://pith.science/pith/IERSULOGO6H7QRUIVKIPWIJQEG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IERSULOGO6H7QRUIVKIPWIJQEG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IERSULOGO6H7QRUIVKIPWIJQEG","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":"2aa4c458b1032e20cd1ed75c6e1ace83feaa59ebe800460fb0a713257e038399","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-15T12:02:07Z","title_canon_sha256":"ff81771de86ed32802c61343caf26eb6cd1748566c21a209c5f7321e1280822a"},"schema_version":"1.0","source":{"id":"2411.10130","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10130","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10130v1","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10130","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"IERSULOGO6H7","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"IERSULOGO6H7QRUI","created_at":"2026-07-05T09:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"IERSULOG","created_at":"2026-07-05T09:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:cf000b1440f88c24923a182fa1d90e05c1cb9876edc1665184b91b16b1abc854","target":"graph","created_at":"2026-07-05T09:36:00Z","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/2411.10130/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applying 2D style transfer methods to 3D scenes often fails to preserve the structural and multi-view properties of 3D environments, resulting in unpleasant distortions in images from different viewpoints. To address these issues, we leverage the remarkable generative prior of diffusion-based models and propose a novel style transfer method, OSDiffST, based on a pre-trained one-step diffusion model (i.e., SD-Turbo) for ren","authors_text":"Cuixin Yang, Hao Xie, Jun Xiao, Kin-Chung Chan, Kin-man Lam, Rongkang Dong, Yushen Zuo, Zongqi He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-15T12:02:07Z","title":"Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10130","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":"sha256:8a497daaaff721374fbb3d45caa465d1a03f13ba7a0100b4719bcc0e49a4a91d","target":"record","created_at":"2026-07-05T09:36:00Z","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":"2aa4c458b1032e20cd1ed75c6e1ace83feaa59ebe800460fb0a713257e038399","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-15T12:02:07Z","title_canon_sha256":"ff81771de86ed32802c61343caf26eb6cd1748566c21a209c5f7321e1280822a"},"schema_version":"1.0","source":{"id":"2411.10130","kind":"arxiv","version":1}},"canonical_sha256":"41232a2dc6778ff84688aa90fb213021ba5bae7cd8594fd4abdcf411dd41b6ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41232a2dc6778ff84688aa90fb213021ba5bae7cd8594fd4abdcf411dd41b6ab","first_computed_at":"2026-07-05T09:36:00.197130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:36:00.197130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FF4Jpl/nhAqgZmi411HhfpWzA+Hi7tSdgMuk+qt1zTQ9ZV7RPLHA4CGUYBhY2VX/mX51c0voZwN7PWPfZELwCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:36:00.197612Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10130","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a497daaaff721374fbb3d45caa465d1a03f13ba7a0100b4719bcc0e49a4a91d","sha256:cf000b1440f88c24923a182fa1d90e05c1cb9876edc1665184b91b16b1abc854"],"state_sha256":"99add88202286c2fe55ddedf13bcf99f2a08278c0ebcc5a548cca84fc2e84ff7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ijrn+JkF3uSKo4fVtUYZVW2QoId3NTzv70e8SGqBz+qlvqOyacQiU0iBJADADurephlxHwjdwhYzhrn0Ig6uDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:45:59.115125Z","bundle_sha256":"9f22d62bc898ee565f158918527d1dd4d849ce47eaf75c52c5b9c9a1cdbb5e84"}}