{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2CIZYQW5LGTVYWTAYYGC2MVJQJ","short_pith_number":"pith:2CIZYQW5","canonical_record":{"source":{"id":"2412.11691","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-16T12:08:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8421c0f60ecbb3058da3b4c5b6431f32cb4ce9111626d935876781713d1744aa","abstract_canon_sha256":"3c322f1694df5f18f3512e871a5eed300ce70cd07f4df21bdfdb3d6f1a1d7e2b"},"schema_version":"1.0"},"canonical_sha256":"d0919c42dd59a75c5a60c60c2d32a982541d0af74f5f4c2b84267249d4fff0bf","source":{"kind":"arxiv","id":"2412.11691","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11691","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11691v1","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11691","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_12","alias_value":"2CIZYQW5LGTV","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_16","alias_value":"2CIZYQW5LGTVYWTA","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_8","alias_value":"2CIZYQW5","created_at":"2026-07-05T09:49:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2CIZYQW5LGTVYWTAYYGC2MVJQJ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.11691","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-16T12:08:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8421c0f60ecbb3058da3b4c5b6431f32cb4ce9111626d935876781713d1744aa","abstract_canon_sha256":"3c322f1694df5f18f3512e871a5eed300ce70cd07f4df21bdfdb3d6f1a1d7e2b"},"schema_version":"1.0"},"canonical_sha256":"d0919c42dd59a75c5a60c60c2d32a982541d0af74f5f4c2b84267249d4fff0bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:50.267334Z","signature_b64":"dtXah+zMvl8yPuv8JFBPOXqpMExi2F2cLGzk9tKZqDWCm9HyHLwE2cX+HEz8w2EgUaj5zDOlN6Q+gzdYQV8/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0919c42dd59a75c5a60c60c2d32a982541d0af74f5f4c2b84267249d4fff0bf","last_reissued_at":"2026-07-05T09:49:50.266834Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:50.266834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.11691","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":"2026-07-05T09:49:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KLR5zrtGb6OurL2qUEM91orvRpgfNvogJhkB3+N5YxDdilRr/QZNX3Cq1tSaDtRjrgbntyi0Ai3FAhCED7E7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:25:58.049992Z"},"content_sha256":"f293196648ad75b615129754d1ef1ef775cf430272f7a38cd4b9d968aa5a28a2","schema_version":"1.0","event_id":"sha256:f293196648ad75b615129754d1ef1ef775cf430272f7a38cd4b9d968aa5a28a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2CIZYQW5LGTVYWTAYYGC2MVJQJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multilingual and Explainable Text Detoxification with Parallel Corpora","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abinew Ali Ayele, Alexander Panchenko, Amit Ronen, Animesh Mukherjee, Ashraf Elnagar, Daniil Moskovskiy, Daryna Dementieva, Elisei Stakovskii, Eran Kaufman, Florian Schneider, Naquee Rizwan, Nikolay Babakov, Seid Muhie Yimam, Xintong Wang","submitted_at":"2024-12-16T12:08:59Z","abstract_excerpt":"Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant issue. One potential approach to address this challenge is automatic text detoxification, a text style transfer (TST) approach that transforms toxic language into a more neutral or non-toxic form. To date, the availability of parallel corpora for the text detoxification task (Logachevavet al., 2022; Atwell et al., 2022; Dementievavet al., 2024a) has proven to be crucial for state-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11691","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/2412.11691/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":"2026-07-05T09:49:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k5VgRkSwLXNGF67gdpXYSekVujD251+bAPs2Eh4/wO3d7ebfim+YNK1UtIFjm67T7rdjDoNohztyRnbUqzBHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:25:58.050517Z"},"content_sha256":"ad2d32e3c8a2d1b42cd6b3887db1d9daaca6faefc1dd42d4f4078339fe560fa0","schema_version":"1.0","event_id":"sha256:ad2d32e3c8a2d1b42cd6b3887db1d9daaca6faefc1dd42d4f4078339fe560fa0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/bundle.json","state_url":"https://pith.science/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/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":"2026-08-01T09:25:58Z","links":{"resolver":"https://pith.science/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ","bundle":"https://pith.science/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/bundle.json","state":"https://pith.science/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2CIZYQW5LGTVYWTAYYGC2MVJQJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2CIZYQW5LGTVYWTAYYGC2MVJQJ","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":"3c322f1694df5f18f3512e871a5eed300ce70cd07f4df21bdfdb3d6f1a1d7e2b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-16T12:08:59Z","title_canon_sha256":"8421c0f60ecbb3058da3b4c5b6431f32cb4ce9111626d935876781713d1744aa"},"schema_version":"1.0","source":{"id":"2412.11691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11691","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11691v1","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11691","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_12","alias_value":"2CIZYQW5LGTV","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_16","alias_value":"2CIZYQW5LGTVYWTA","created_at":"2026-07-05T09:49:50Z"},{"alias_kind":"pith_short_8","alias_value":"2CIZYQW5","created_at":"2026-07-05T09:49:50Z"}],"graph_snapshots":[{"event_id":"sha256:ad2d32e3c8a2d1b42cd6b3887db1d9daaca6faefc1dd42d4f4078339fe560fa0","target":"graph","created_at":"2026-07-05T09:49:50Z","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/2412.11691/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant issue. One potential approach to address this challenge is automatic text detoxification, a text style transfer (TST) approach that transforms toxic language into a more neutral or non-toxic form. To date, the availability of parallel corpora for the text detoxification task (Logachevavet al., 2022; Atwell et al., 2022; Dementievavet al., 2024a) has proven to be crucial for state-","authors_text":"Abinew Ali Ayele, Alexander Panchenko, Amit Ronen, Animesh Mukherjee, Ashraf Elnagar, Daniil Moskovskiy, Daryna Dementieva, Elisei Stakovskii, Eran Kaufman, Florian Schneider, Naquee Rizwan, Nikolay Babakov, Seid Muhie Yimam, Xintong Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-16T12:08:59Z","title":"Multilingual and Explainable Text Detoxification with Parallel Corpora"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11691","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:f293196648ad75b615129754d1ef1ef775cf430272f7a38cd4b9d968aa5a28a2","target":"record","created_at":"2026-07-05T09:49:50Z","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":"3c322f1694df5f18f3512e871a5eed300ce70cd07f4df21bdfdb3d6f1a1d7e2b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-16T12:08:59Z","title_canon_sha256":"8421c0f60ecbb3058da3b4c5b6431f32cb4ce9111626d935876781713d1744aa"},"schema_version":"1.0","source":{"id":"2412.11691","kind":"arxiv","version":1}},"canonical_sha256":"d0919c42dd59a75c5a60c60c2d32a982541d0af74f5f4c2b84267249d4fff0bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0919c42dd59a75c5a60c60c2d32a982541d0af74f5f4c2b84267249d4fff0bf","first_computed_at":"2026-07-05T09:49:50.266834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:50.266834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dtXah+zMvl8yPuv8JFBPOXqpMExi2F2cLGzk9tKZqDWCm9HyHLwE2cX+HEz8w2EgUaj5zDOlN6Q+gzdYQV8/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:50.267334Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f293196648ad75b615129754d1ef1ef775cf430272f7a38cd4b9d968aa5a28a2","sha256:ad2d32e3c8a2d1b42cd6b3887db1d9daaca6faefc1dd42d4f4078339fe560fa0"],"state_sha256":"24531e1e44ef452b8a0fcb42b46d811d7e3d98f1d9e1a5fb7470ee3164944391"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZA/E6Hpk7S0JDTC/XTd/KHU56D+4CgL20iIkH48f/CIYubPE/UnshpyDFA2nTM7tMcucfJ2MYOiYY6MVAfSyAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T09:25:58.055749Z","bundle_sha256":"fc4d98f248d3313862f77d6e353f1f10ded4b6bd038d54d2aa54397ffd172dca"}}