{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JAN67BLYG4QURVHGYFUET3AXL5","short_pith_number":"pith:JAN67BLY","canonical_record":{"source":{"id":"2305.15732","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-25T05:30:13Z","cross_cats_sorted":[],"title_canon_sha256":"43fbdf4b799c308f89c546bd56637434e3552ba018f6d4ab2977f7151ff72a6e","abstract_canon_sha256":"faba0da4334a35af7b3ed1819ecf21b5c095f30f8ea8b4c935953d4fce2a3cc7"},"schema_version":"1.0"},"canonical_sha256":"481bef8578372148d4e6c16849ec175f7fd0940fee3833eb9c4efa0c3bdc0c8d","source":{"kind":"arxiv","id":"2305.15732","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.15732","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.15732v2","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.15732","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"JAN67BLYG4QU","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"JAN67BLYG4QURVHG","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"JAN67BLY","created_at":"2026-07-05T06:14:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JAN67BLYG4QURVHGYFUET3AXL5","target":"record","payload":{"canonical_record":{"source":{"id":"2305.15732","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-25T05:30:13Z","cross_cats_sorted":[],"title_canon_sha256":"43fbdf4b799c308f89c546bd56637434e3552ba018f6d4ab2977f7151ff72a6e","abstract_canon_sha256":"faba0da4334a35af7b3ed1819ecf21b5c095f30f8ea8b4c935953d4fce2a3cc7"},"schema_version":"1.0"},"canonical_sha256":"481bef8578372148d4e6c16849ec175f7fd0940fee3833eb9c4efa0c3bdc0c8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:11.448216Z","signature_b64":"d8N+iBd25UAAEwD+bbR6Mlg2/TDphiJoZ2C6DUzG2EJdlt8AnoLYs7tbPzhNdf5TWTNv/DlwpgaJ+89RDMOdDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"481bef8578372148d4e6c16849ec175f7fd0940fee3833eb9c4efa0c3bdc0c8d","last_reissued_at":"2026-07-05T06:14:11.447814Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:11.447814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.15732","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":"2026-07-05T06:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m6NtCbrixCIxPotbim2BdVNekDoNoAAIawbLTOHbY6T2n1sDAOeOehTNXiA+PnzXMCTAiWTI5RdSC2xwBXf0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:08:40.390251Z"},"content_sha256":"4facb495321cc102c069163379bbdeae8b2193e20648e9c59be78ea19984603a","schema_version":"1.0","event_id":"sha256:4facb495321cc102c069163379bbdeae8b2193e20648e9c59be78ea19984603a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JAN67BLYG4QURVHGYFUET3AXL5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenkai Zhao, Ming Gao, Mingming Gong, Tingbo Hou, Yang Zhao, Yanwu Xu","submitted_at":"2023-05-25T05:30:13Z","abstract_excerpt":"In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text description, and synthesizing the novel stylized view, which is more flexible than the image-conditioned style transfer. Compared with the previous 2D method CLIPStyler, we are able to stylize a 3D scene and generalize to novel scenes without re-train our model. A straightforward solution is to combine previous image-conditioned 3D style transfer and text-conditioned 2D style transfer \\bigskip methods. However, such a s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.15732","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/2305.15732/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":"2026-07-05T06:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gsqz6IA/c3a5YQvcQoAyYkbn3Ha72Uss3tu6qLgyYz/jBoqiw3m8pBkaBhnhE/lNS6+IFQTv4z8QSGs6mxAuBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:08:40.390759Z"},"content_sha256":"a3b3b2bead354342bbe3e27237f9bcf00da741f64541df8a201489fdfc18dca6","schema_version":"1.0","event_id":"sha256:a3b3b2bead354342bbe3e27237f9bcf00da741f64541df8a201489fdfc18dca6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JAN67BLYG4QURVHGYFUET3AXL5/bundle.json","state_url":"https://pith.science/pith/JAN67BLYG4QURVHGYFUET3AXL5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JAN67BLYG4QURVHGYFUET3AXL5/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":"2026-08-04T03:08:40Z","links":{"resolver":"https://pith.science/pith/JAN67BLYG4QURVHGYFUET3AXL5","bundle":"https://pith.science/pith/JAN67BLYG4QURVHGYFUET3AXL5/bundle.json","state":"https://pith.science/pith/JAN67BLYG4QURVHGYFUET3AXL5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JAN67BLYG4QURVHGYFUET3AXL5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JAN67BLYG4QURVHGYFUET3AXL5","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":"faba0da4334a35af7b3ed1819ecf21b5c095f30f8ea8b4c935953d4fce2a3cc7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-25T05:30:13Z","title_canon_sha256":"43fbdf4b799c308f89c546bd56637434e3552ba018f6d4ab2977f7151ff72a6e"},"schema_version":"1.0","source":{"id":"2305.15732","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.15732","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.15732v2","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.15732","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"JAN67BLYG4QU","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"JAN67BLYG4QURVHG","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"JAN67BLY","created_at":"2026-07-05T06:14:11Z"}],"graph_snapshots":[{"event_id":"sha256:a3b3b2bead354342bbe3e27237f9bcf00da741f64541df8a201489fdfc18dca6","target":"graph","created_at":"2026-07-05T06:14:11Z","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/2305.15732/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a novel language-guided 3D arbitrary neural style transfer method (CLIP3Dstyler). We aim at stylizing any 3D scene with an arbitrary style from a text description, and synthesizing the novel stylized view, which is more flexible than the image-conditioned style transfer. Compared with the previous 2D method CLIPStyler, we are able to stylize a 3D scene and generalize to novel scenes without re-train our model. A straightforward solution is to combine previous image-conditioned 3D style transfer and text-conditioned 2D style transfer \\bigskip methods. However, such a s","authors_text":"Chenkai Zhao, Ming Gao, Mingming Gong, Tingbo Hou, Yang Zhao, Yanwu Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-25T05:30:13Z","title":"CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.15732","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":"sha256:4facb495321cc102c069163379bbdeae8b2193e20648e9c59be78ea19984603a","target":"record","created_at":"2026-07-05T06:14:11Z","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":"faba0da4334a35af7b3ed1819ecf21b5c095f30f8ea8b4c935953d4fce2a3cc7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-25T05:30:13Z","title_canon_sha256":"43fbdf4b799c308f89c546bd56637434e3552ba018f6d4ab2977f7151ff72a6e"},"schema_version":"1.0","source":{"id":"2305.15732","kind":"arxiv","version":2}},"canonical_sha256":"481bef8578372148d4e6c16849ec175f7fd0940fee3833eb9c4efa0c3bdc0c8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"481bef8578372148d4e6c16849ec175f7fd0940fee3833eb9c4efa0c3bdc0c8d","first_computed_at":"2026-07-05T06:14:11.447814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:11.447814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d8N+iBd25UAAEwD+bbR6Mlg2/TDphiJoZ2C6DUzG2EJdlt8AnoLYs7tbPzhNdf5TWTNv/DlwpgaJ+89RDMOdDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:11.448216Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.15732","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4facb495321cc102c069163379bbdeae8b2193e20648e9c59be78ea19984603a","sha256:a3b3b2bead354342bbe3e27237f9bcf00da741f64541df8a201489fdfc18dca6"],"state_sha256":"80768b153ea2489045114705b00f5f9c23453aaed8962d1d45880207050e99f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kD3g9cmi7hFQ26Nc/TGhduMRFO20A0wa/hfJ6MERIXmNt6Y6v6sn+GqUYEs7/WT1W9tIXr9ko+qocT16jdXiDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:08:40.396462Z","bundle_sha256":"267dd6eaa032c30f36898dea6a41bcbf2e0aedc39b746e0b878342e0c46c3e1c"}}