{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:M72ZCR6MXY6LBB26TFMZ5TCMPH","short_pith_number":"pith:M72ZCR6M","canonical_record":{"source":{"id":"2402.13647","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-21T09:28:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"14017e9d723e1a6301b8e21030e86a08e04d5f65fe892c39f539cb530057ad89","abstract_canon_sha256":"b6e42e5b6f542c382569be1e9daaaa247510be52c9cb1c720e0b7e6128e31323"},"schema_version":"1.0"},"canonical_sha256":"67f59147ccbe3cb0875e99599ecc4c79df423f9c197c2a0a93cc9b6a5dd6e2c6","source":{"kind":"arxiv","id":"2402.13647","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13647","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13647v1","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13647","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_12","alias_value":"M72ZCR6MXY6L","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_16","alias_value":"M72ZCR6MXY6LBB26","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_8","alias_value":"M72ZCR6M","created_at":"2026-07-05T07:47:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:M72ZCR6MXY6LBB26TFMZ5TCMPH","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13647","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-21T09:28:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"14017e9d723e1a6301b8e21030e86a08e04d5f65fe892c39f539cb530057ad89","abstract_canon_sha256":"b6e42e5b6f542c382569be1e9daaaa247510be52c9cb1c720e0b7e6128e31323"},"schema_version":"1.0"},"canonical_sha256":"67f59147ccbe3cb0875e99599ecc4c79df423f9c197c2a0a93cc9b6a5dd6e2c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:47:47.248968Z","signature_b64":"2QpGlPtAFdB2CMxowH8+QKFGuEIKWmKxwIzF9mRuFDtJs+2TEpsJJLDP7Ay1kBgrvvMbfyvxuqOK4qT+g9zYAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67f59147ccbe3cb0875e99599ecc4c79df423f9c197c2a0a93cc9b6a5dd6e2c6","last_reissued_at":"2026-07-05T07:47:47.248452Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:47:47.248452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13647","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":"2026-07-05T07:47:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5JW4qqGk48kNC2HIqYW+IqMiHGhKVTlaxXHwzUXMj3X19yPRBGsUocfh/nDURod81wLGuPAZQ3UcpAbyV+yaDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:55:20.507937Z"},"content_sha256":"3cfbcfb2d480ceb5e0a182e5349bded152267f35f4ab44544c361a1655b89cc9","schema_version":"1.0","event_id":"sha256:3cfbcfb2d480ceb5e0a182e5349bded152267f35f4ab44544c361a1655b89cc9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:M72ZCR6MXY6LBB26TFMZ5TCMPH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Lei Pan, Weining Qian, Yang Li, Yunshi Lan","submitted_at":"2024-02-21T09:28:02Z","abstract_excerpt":"Unsupervised Text Style Transfer (UTST) has emerged as a critical task within the domain of Natural Language Processing (NLP), aiming to transfer one stylistic aspect of a sentence into another style without changing its semantics, syntax, or other attributes. This task is especially challenging given the intrinsic lack of parallel text pairings. Among existing methods for UTST tasks, attention masking approach and Large Language Models (LLMs) are deemed as two pioneering methods. However, they have shortcomings in generating unsmooth sentences and changing the original contents, respectively."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13647","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/2402.13647/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":"2026-07-05T07:47:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KlAVXBbXc25VlQFLjIXmYX5ZmQw2FtTpgIgw0ppf2Asg/D+32o7KpLk5vepYQbS9/Zg4DYX8l6sVwF4brxSXBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:55:20.508533Z"},"content_sha256":"10aebdf6e8d23f9555d63e8ceed617db7c994e0ea74f01a17d121a635c30e596","schema_version":"1.0","event_id":"sha256:10aebdf6e8d23f9555d63e8ceed617db7c994e0ea74f01a17d121a635c30e596"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/bundle.json","state_url":"https://pith.science/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/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":"2026-08-08T11:55:20Z","links":{"resolver":"https://pith.science/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH","bundle":"https://pith.science/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/bundle.json","state":"https://pith.science/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M72ZCR6MXY6LBB26TFMZ5TCMPH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:M72ZCR6MXY6LBB26TFMZ5TCMPH","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":"b6e42e5b6f542c382569be1e9daaaa247510be52c9cb1c720e0b7e6128e31323","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-21T09:28:02Z","title_canon_sha256":"14017e9d723e1a6301b8e21030e86a08e04d5f65fe892c39f539cb530057ad89"},"schema_version":"1.0","source":{"id":"2402.13647","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13647","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13647v1","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13647","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_12","alias_value":"M72ZCR6MXY6L","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_16","alias_value":"M72ZCR6MXY6LBB26","created_at":"2026-07-05T07:47:47Z"},{"alias_kind":"pith_short_8","alias_value":"M72ZCR6M","created_at":"2026-07-05T07:47:47Z"}],"graph_snapshots":[{"event_id":"sha256:10aebdf6e8d23f9555d63e8ceed617db7c994e0ea74f01a17d121a635c30e596","target":"graph","created_at":"2026-07-05T07:47:47Z","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/2402.13647/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised Text Style Transfer (UTST) has emerged as a critical task within the domain of Natural Language Processing (NLP), aiming to transfer one stylistic aspect of a sentence into another style without changing its semantics, syntax, or other attributes. This task is especially challenging given the intrinsic lack of parallel text pairings. Among existing methods for UTST tasks, attention masking approach and Large Language Models (LLMs) are deemed as two pioneering methods. However, they have shortcomings in generating unsmooth sentences and changing the original contents, respectively.","authors_text":"Lei Pan, Weining Qian, Yang Li, Yunshi Lan","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-21T09:28:02Z","title":"Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13647","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":"sha256:3cfbcfb2d480ceb5e0a182e5349bded152267f35f4ab44544c361a1655b89cc9","target":"record","created_at":"2026-07-05T07:47:47Z","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":"b6e42e5b6f542c382569be1e9daaaa247510be52c9cb1c720e0b7e6128e31323","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-21T09:28:02Z","title_canon_sha256":"14017e9d723e1a6301b8e21030e86a08e04d5f65fe892c39f539cb530057ad89"},"schema_version":"1.0","source":{"id":"2402.13647","kind":"arxiv","version":1}},"canonical_sha256":"67f59147ccbe3cb0875e99599ecc4c79df423f9c197c2a0a93cc9b6a5dd6e2c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"67f59147ccbe3cb0875e99599ecc4c79df423f9c197c2a0a93cc9b6a5dd6e2c6","first_computed_at":"2026-07-05T07:47:47.248452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:47:47.248452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2QpGlPtAFdB2CMxowH8+QKFGuEIKWmKxwIzF9mRuFDtJs+2TEpsJJLDP7Ay1kBgrvvMbfyvxuqOK4qT+g9zYAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:47:47.248968Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13647","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cfbcfb2d480ceb5e0a182e5349bded152267f35f4ab44544c361a1655b89cc9","sha256:10aebdf6e8d23f9555d63e8ceed617db7c994e0ea74f01a17d121a635c30e596"],"state_sha256":"6a61bd47913b9b7531ba32a2894e4ab77db532be194017872e96c9a79b678662"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E0LKjCKltz82d4QI+BPrHyybiXknR6Ndxj0DM6Px2mtG3xkk7pGHpNDUsMyd8dUvOgk4QdxUXEP/5WWaovMNCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:55:20.513457Z","bundle_sha256":"9c7b41e29862d3ae71b351360d8cebbbc7470e0ca4d5bab8a025d1d6c039ce72"}}