{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DNIHQJVEDDCMJOPRHCGPSCJFWU","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":"aff973505462ca295fc8c8c3657140a11395ee1f217acb0972cfbfd7391aefa2","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-13T10:31:18Z","title_canon_sha256":"c203e4cb088f7deb24ec385c67e617daf4768bd5557d45e1a29db58121214b88"},"schema_version":"1.0","source":{"id":"2206.06029","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.06029","created_at":"2026-07-05T04:31:13Z"},{"alias_kind":"arxiv_version","alias_value":"2206.06029v1","created_at":"2026-07-05T04:31:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.06029","created_at":"2026-07-05T04:31:13Z"},{"alias_kind":"pith_short_12","alias_value":"DNIHQJVEDDCM","created_at":"2026-07-05T04:31:13Z"},{"alias_kind":"pith_short_16","alias_value":"DNIHQJVEDDCMJOPR","created_at":"2026-07-05T04:31:13Z"},{"alias_kind":"pith_short_8","alias_value":"DNIHQJVE","created_at":"2026-07-05T04:31:13Z"}],"graph_snapshots":[{"event_id":"sha256:38a35629ef296862f3536816f91b166841740c1a831307c4b65964c8623810d4","target":"graph","created_at":"2026-07-05T04:31:13Z","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/2206.06029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this position paper, we establish desiderata for Mediators, text-based conversational agents which are capable of explaining the behavior of neural models interactively using natural language. From the perspective of natural language processing (NLP) research, we engineer a blueprint of such a Mediator for the task of sentiment analysis and assess how far along current research is on the path towards dialogue-based expla","authors_text":"Ajay Madhavan Ravichandran, Nils Feldhus, Sebastian M\\\"oller","cross_cats":["cs.AI","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-13T10:31:18Z","title":"Mediators: Conversational Agents Explaining NLP Model Behavior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.06029","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:a179b0108521619521c589636646f1a33c3802a8b1208a0d74821fa71c57c181","target":"record","created_at":"2026-07-05T04:31:13Z","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":"aff973505462ca295fc8c8c3657140a11395ee1f217acb0972cfbfd7391aefa2","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-06-13T10:31:18Z","title_canon_sha256":"c203e4cb088f7deb24ec385c67e617daf4768bd5557d45e1a29db58121214b88"},"schema_version":"1.0","source":{"id":"2206.06029","kind":"arxiv","version":1}},"canonical_sha256":"1b507826a418c4c4b9f1388cf90925b5345ed4122d0f6ffa7f3c12d473cba78d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b507826a418c4c4b9f1388cf90925b5345ed4122d0f6ffa7f3c12d473cba78d","first_computed_at":"2026-07-05T04:31:13.827175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:31:13.827175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JzqASN7/Dxrp72Pca/69BzxL9R25Yxq/ZwbGP4W4SuCHDHKXxXOdY1rx1Cox1259NHRoRXEufj0cZtl1+y/2Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:31:13.827606Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.06029","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a179b0108521619521c589636646f1a33c3802a8b1208a0d74821fa71c57c181","sha256:38a35629ef296862f3536816f91b166841740c1a831307c4b65964c8623810d4"],"state_sha256":"124b44cb54cd39a6b2bd75c9632f9dc9a7436971e43edd20b475e1881d5c3146"}