{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IRR46PCUET7QKTLBFEGK4RNOOJ","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":"a3076c501183194d2edea3638585f25c55578e215c6a3e108cbe035ac6caa28d","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-17T09:44:03Z","title_canon_sha256":"9d46cd5b376734a87baf0627b13965ef2396f4f214d2fe671a1581c80cd7e625"},"schema_version":"1.0","source":{"id":"2401.09082","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09082","created_at":"2026-07-05T08:19:41Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09082v2","created_at":"2026-07-05T08:19:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09082","created_at":"2026-07-05T08:19:41Z"},{"alias_kind":"pith_short_12","alias_value":"IRR46PCUET7Q","created_at":"2026-07-05T08:19:41Z"},{"alias_kind":"pith_short_16","alias_value":"IRR46PCUET7QKTLB","created_at":"2026-07-05T08:19:41Z"},{"alias_kind":"pith_short_8","alias_value":"IRR46PCU","created_at":"2026-07-05T08:19:41Z"}],"graph_snapshots":[{"event_id":"sha256:d996e3b736f31332f782e4c8a50462ff9033bc1811f762bb91ab6d4f1a168649","target":"graph","created_at":"2026-07-05T08:19:41Z","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/2401.09082/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the growing popularity of conversational agents based on large language models (LLMs), we need to ensure their behaviour is ethical and appropriate. Work in this area largely centres around the 'HHH' criteria: making outputs more helpful and honest, and avoiding harmful (biased, toxic, or inaccurate) statements. Whilst this semantic focus is useful when viewing LLM agents as mere mediums or output-generating systems, it fails to account for pragmatic factors that can make the same speech act seem more or less tactless or inconsiderate in different social situations. With the push towards ","authors_text":"Amanda McCroskery, Geoff Keeling, Lize Alberts","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-17T09:44:03Z","title":"Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respect"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09082","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:dc61a2b8ac78b245118169d5b57fbb10634caf913538438373ea9ad79f9f14d4","target":"record","created_at":"2026-07-05T08:19:41Z","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":"a3076c501183194d2edea3638585f25c55578e215c6a3e108cbe035ac6caa28d","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-17T09:44:03Z","title_canon_sha256":"9d46cd5b376734a87baf0627b13965ef2396f4f214d2fe671a1581c80cd7e625"},"schema_version":"1.0","source":{"id":"2401.09082","kind":"arxiv","version":2}},"canonical_sha256":"4463cf3c5424ff054d61290cae45ae7276d09088f3adf9bc55105d0cfdfb152e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4463cf3c5424ff054d61290cae45ae7276d09088f3adf9bc55105d0cfdfb152e","first_computed_at":"2026-07-05T08:19:41.205009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:19:41.205009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QDqcWl8N/HBhhFVPgLWI2phEdyvCcaI5PRI2EOvYiM2UKKqAogiPKc8BLDV8IbjREAvkyTfOsnYBsPgIqZkbAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:19:41.205537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.09082","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc61a2b8ac78b245118169d5b57fbb10634caf913538438373ea9ad79f9f14d4","sha256:d996e3b736f31332f782e4c8a50462ff9033bc1811f762bb91ab6d4f1a168649"],"state_sha256":"2a4a6dd2917ff67f6688d4da1703e2a533e325dacfdc988139eeb737c433f208"}