{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YMGEZRUZYWUPJ57KU5HWV367UM","short_pith_number":"pith:YMGEZRUZ","canonical_record":{"source":{"id":"2305.19512","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-31T02:51:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"16d3ffccc81e9b973dd80624e5af990d117f2c2761872df3e5a920fa2590cbce","abstract_canon_sha256":"6f76f3a2254dfc26ca9cb8d9570f66484a087ab2fb2f44d901ba22bf2753fd23"},"schema_version":"1.0"},"canonical_sha256":"c30c4cc699c5a8f4f7eaa74f6aefdfa319accd121237e1ba29a2d7efe049e2b5","source":{"kind":"arxiv","id":"2305.19512","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.19512","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"arxiv_version","alias_value":"2305.19512v2","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.19512","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_12","alias_value":"YMGEZRUZYWUP","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_16","alias_value":"YMGEZRUZYWUPJ57K","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_8","alias_value":"YMGEZRUZ","created_at":"2026-07-05T06:19:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YMGEZRUZYWUPJ57KU5HWV367UM","target":"record","payload":{"canonical_record":{"source":{"id":"2305.19512","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-31T02:51:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"16d3ffccc81e9b973dd80624e5af990d117f2c2761872df3e5a920fa2590cbce","abstract_canon_sha256":"6f76f3a2254dfc26ca9cb8d9570f66484a087ab2fb2f44d901ba22bf2753fd23"},"schema_version":"1.0"},"canonical_sha256":"c30c4cc699c5a8f4f7eaa74f6aefdfa319accd121237e1ba29a2d7efe049e2b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:41.602763Z","signature_b64":"N8Bnq5QZUGsKgPNmg7/YbdwqdUYpO+3b+0lZYsqGSDKXg7RFjrW3ApjLns3I8HcM1aC81N+a4p+/Cte5jNRmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c30c4cc699c5a8f4f7eaa74f6aefdfa319accd121237e1ba29a2d7efe049e2b5","last_reissued_at":"2026-07-05T06:19:41.602301Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:41.602301Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.19512","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":"2026-07-05T06:19:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U5PXIq8YfZLRxC5Ngzd/siRxRuILVzIXDe8x4MYgLN/gGW4EBVYamM84QZvNPTlp2IfastiOVHO0kQrFbxPSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:00:17.797051Z"},"content_sha256":"5e71502ff472a2e00e91da5cc43a080a25be436d2898dc1332f51774567d01e8","schema_version":"1.0","event_id":"sha256:5e71502ff472a2e00e91da5cc43a080a25be436d2898dc1332f51774567d01e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YMGEZRUZYWUPJ57KU5HWV367UM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-grained Text Style Transfer with Diffusion-Based Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Honglak Lee, Jiacheng Shi, Tiange Luo, Todd C. Hollon, Yiwei Lyu","submitted_at":"2023-05-31T02:51:26Z","abstract_excerpt":"Diffusion probabilistic models have shown great success in generating high-quality images controllably, and researchers have tried to utilize this controllability into text generation domain. Previous works on diffusion-based language models have shown that they can be trained without external knowledge (such as pre-trained weights) and still achieve stable performance and controllability. In this paper, we trained a diffusion-based model on StylePTB dataset, the standard benchmark for fine-grained text style transfers. The tasks in StylePTB requires much more refined control over the output t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.19512","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/2305.19512/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":"2026-07-05T06:19:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3DdeBxqq0olbQIFXukE3oBSR9F7bhLsZW4aTo+aJd32s6vz0wf6sMdp5vGlDzH2zsSAjFblKFKg3O9MX1LY+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:00:17.797559Z"},"content_sha256":"1de6a6ecca758f1a272fc503a8ba4ef1901565f0464c77190d587bb3a6c79729","schema_version":"1.0","event_id":"sha256:1de6a6ecca758f1a272fc503a8ba4ef1901565f0464c77190d587bb3a6c79729"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YMGEZRUZYWUPJ57KU5HWV367UM/bundle.json","state_url":"https://pith.science/pith/YMGEZRUZYWUPJ57KU5HWV367UM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YMGEZRUZYWUPJ57KU5HWV367UM/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":"2026-08-10T11:00:17Z","links":{"resolver":"https://pith.science/pith/YMGEZRUZYWUPJ57KU5HWV367UM","bundle":"https://pith.science/pith/YMGEZRUZYWUPJ57KU5HWV367UM/bundle.json","state":"https://pith.science/pith/YMGEZRUZYWUPJ57KU5HWV367UM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YMGEZRUZYWUPJ57KU5HWV367UM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YMGEZRUZYWUPJ57KU5HWV367UM","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":"6f76f3a2254dfc26ca9cb8d9570f66484a087ab2fb2f44d901ba22bf2753fd23","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-31T02:51:26Z","title_canon_sha256":"16d3ffccc81e9b973dd80624e5af990d117f2c2761872df3e5a920fa2590cbce"},"schema_version":"1.0","source":{"id":"2305.19512","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.19512","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"arxiv_version","alias_value":"2305.19512v2","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.19512","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_12","alias_value":"YMGEZRUZYWUP","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_16","alias_value":"YMGEZRUZYWUPJ57K","created_at":"2026-07-05T06:19:41Z"},{"alias_kind":"pith_short_8","alias_value":"YMGEZRUZ","created_at":"2026-07-05T06:19:41Z"}],"graph_snapshots":[{"event_id":"sha256:1de6a6ecca758f1a272fc503a8ba4ef1901565f0464c77190d587bb3a6c79729","target":"graph","created_at":"2026-07-05T06:19:41Z","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/2305.19512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion probabilistic models have shown great success in generating high-quality images controllably, and researchers have tried to utilize this controllability into text generation domain. Previous works on diffusion-based language models have shown that they can be trained without external knowledge (such as pre-trained weights) and still achieve stable performance and controllability. In this paper, we trained a diffusion-based model on StylePTB dataset, the standard benchmark for fine-grained text style transfers. The tasks in StylePTB requires much more refined control over the output t","authors_text":"Honglak Lee, Jiacheng Shi, Tiange Luo, Todd C. Hollon, Yiwei Lyu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-31T02:51:26Z","title":"Fine-grained Text Style Transfer with Diffusion-Based Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.19512","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":"sha256:5e71502ff472a2e00e91da5cc43a080a25be436d2898dc1332f51774567d01e8","target":"record","created_at":"2026-07-05T06:19:41Z","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":"6f76f3a2254dfc26ca9cb8d9570f66484a087ab2fb2f44d901ba22bf2753fd23","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-31T02:51:26Z","title_canon_sha256":"16d3ffccc81e9b973dd80624e5af990d117f2c2761872df3e5a920fa2590cbce"},"schema_version":"1.0","source":{"id":"2305.19512","kind":"arxiv","version":2}},"canonical_sha256":"c30c4cc699c5a8f4f7eaa74f6aefdfa319accd121237e1ba29a2d7efe049e2b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c30c4cc699c5a8f4f7eaa74f6aefdfa319accd121237e1ba29a2d7efe049e2b5","first_computed_at":"2026-07-05T06:19:41.602301Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:41.602301Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N8Bnq5QZUGsKgPNmg7/YbdwqdUYpO+3b+0lZYsqGSDKXg7RFjrW3ApjLns3I8HcM1aC81N+a4p+/Cte5jNRmAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:41.602763Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.19512","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e71502ff472a2e00e91da5cc43a080a25be436d2898dc1332f51774567d01e8","sha256:1de6a6ecca758f1a272fc503a8ba4ef1901565f0464c77190d587bb3a6c79729"],"state_sha256":"6098d2a224d916fa97e0c30bfc7f843d2d2bb91e1b75bdd1ace57935950fd5e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oTP0YaWADxLd/Y/nDpqD9MTgwmDHF8Drc1Tt5dxnaqb5FBaB5zn7IXzpIg+zeeCtrxmsi/eiYC352jYsyXp8CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T11:00:17.801047Z","bundle_sha256":"b3e4178485f282fe671ba3871cb4f71be692fb76fd2f14a6a2513cba09185228"}}