{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7VG7U3NBQQZ67XURWKSQ4JTPAJ","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":"83e5c30d16fc269632cc7edc9011b8ef97b4bd3485ebe9b086f450b0ca3ab970","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-30T23:10:28Z","title_canon_sha256":"381c3c3311ebb47c957cff3f5bcc4d6b58e361fd6c0bbb424cf01ea39ab230b3"},"schema_version":"1.0","source":{"id":"1909.00088","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00088","created_at":"2026-07-05T01:36:26Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00088v2","created_at":"2026-07-05T01:36:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00088","created_at":"2026-07-05T01:36:26Z"},{"alias_kind":"pith_short_12","alias_value":"7VG7U3NBQQZ6","created_at":"2026-07-05T01:36:26Z"},{"alias_kind":"pith_short_16","alias_value":"7VG7U3NBQQZ67XUR","created_at":"2026-07-05T01:36:26Z"},{"alias_kind":"pith_short_8","alias_value":"7VG7U3NB","created_at":"2026-07-05T01:36:26Z"}],"graph_snapshots":[{"event_id":"sha256:c631225073677455bdb69680d5ab1a9c66a89b5f4a575c489b50e6f8079b5e93","target":"graph","created_at":"2026-07-05T01:36:26Z","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/1909.00088/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present a novel method for measurably adjusting the semantics of text while preserving its sentiment and fluency, a task we call semantic text exchange. This is useful for text data augmentation and the semantic correction of text generated by chatbots and virtual assistants. We introduce a pipeline called SMERTI that combines entity replacement, similarity masking, and text infilling. We measure our pipeline's success by its Semantic Text Exchange Score (STES): the ability to preserve the original text's sentiment and fluency while adjusting semantic content. We propose to u","authors_text":"Aaron W. Li, Jesse Hoey, Steven Y. Feng","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-30T23:10:28Z","title":"Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00088","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:d7393b5a1ed756d749e670e0555139dc5ddc32fd8973e9f701d2447b1e5e00c1","target":"record","created_at":"2026-07-05T01:36:26Z","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":"83e5c30d16fc269632cc7edc9011b8ef97b4bd3485ebe9b086f450b0ca3ab970","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-30T23:10:28Z","title_canon_sha256":"381c3c3311ebb47c957cff3f5bcc4d6b58e361fd6c0bbb424cf01ea39ab230b3"},"schema_version":"1.0","source":{"id":"1909.00088","kind":"arxiv","version":2}},"canonical_sha256":"fd4dfa6da18433efde91b2a50e266f0277db6d11e01fa4e392ad52f817f1ba79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd4dfa6da18433efde91b2a50e266f0277db6d11e01fa4e392ad52f817f1ba79","first_computed_at":"2026-07-05T01:36:26.763554Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:36:26.763554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z1D+UTdculmvySGieOnbYcRUylTV8p1/tE42yfsLlSyGhqL/ghlNlEOPHiPfQQvYYZLRvpIZ002fys3P/3LDAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:36:26.764007Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.00088","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7393b5a1ed756d749e670e0555139dc5ddc32fd8973e9f701d2447b1e5e00c1","sha256:c631225073677455bdb69680d5ab1a9c66a89b5f4a575c489b50e6f8079b5e93"],"state_sha256":"8707581e470f7522e041e688fd7ee0120a422ef9d7fc0b0ae4e07d6f3092eb93"}