{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GQ7EJ5PUM4STBGBMXCUD4VCETI","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":"156476d665d71ffa3ba5ba607ff1d5f8e4765b709cb7b07f9ef6d04141722af1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-25T12:59:51Z","title_canon_sha256":"ad83d0c4ccf9ba16f994fa1dcf57e80a02ac1cb0e51866fae1edc37ff02c2bb4"},"schema_version":"1.0","source":{"id":"2310.16607","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.16607","created_at":"2026-07-05T07:12:00Z"},{"alias_kind":"arxiv_version","alias_value":"2310.16607v2","created_at":"2026-07-05T07:12:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.16607","created_at":"2026-07-05T07:12:00Z"},{"alias_kind":"pith_short_12","alias_value":"GQ7EJ5PUM4ST","created_at":"2026-07-05T07:12:00Z"},{"alias_kind":"pith_short_16","alias_value":"GQ7EJ5PUM4STBGBM","created_at":"2026-07-05T07:12:00Z"},{"alias_kind":"pith_short_8","alias_value":"GQ7EJ5PU","created_at":"2026-07-05T07:12:00Z"}],"graph_snapshots":[{"event_id":"sha256:358c12ed1743d0f000cabc4ab923d3333425ec0411dcdf68dd97564590d97bb5","target":"graph","created_at":"2026-07-05T07:12:00Z","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/2310.16607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to build reliable and trustworthy NLP applications, models need to be both fair across different demographics and explainable. Usually these two objectives, fairness and explainability, are optimized and/or examined independently of each other. Instead, we argue that forthcoming, trustworthy NLP systems should consider both. In this work, we perform a first study to understand how they influence each other: do fair(er) models rely on more plausible rationales? and vice versa. To this end, we conduct experiments on two English multi-class text classification datasets, BIOS and ECtHR, t","authors_text":"Emanuele Bugliarello, Ilias Chalkidis, Stephanie Brandl","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-25T12:59:51Z","title":"On the Interplay between Fairness and Explainability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.16607","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":"sha256:9de73da380c69b7fe3057a283f490761d9a4c3227438adbce450c226407e023f","target":"record","created_at":"2026-07-05T07:12:00Z","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":"156476d665d71ffa3ba5ba607ff1d5f8e4765b709cb7b07f9ef6d04141722af1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-25T12:59:51Z","title_canon_sha256":"ad83d0c4ccf9ba16f994fa1dcf57e80a02ac1cb0e51866fae1edc37ff02c2bb4"},"schema_version":"1.0","source":{"id":"2310.16607","kind":"arxiv","version":2}},"canonical_sha256":"343e44f5f4672530982cb8a83e54449a01e2d427e2b1b80543dedbfcf787b8e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"343e44f5f4672530982cb8a83e54449a01e2d427e2b1b80543dedbfcf787b8e1","first_computed_at":"2026-07-05T07:12:00.670421Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:00.670421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CKy1B2J6E79uf26rcZHfS3DhwccxpBrQDDZrpWuAl8KI5JPqiKxkXSZPvWUEL6GGm6WdyhK7zrNmrsa83LrWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:00.670980Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.16607","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9de73da380c69b7fe3057a283f490761d9a4c3227438adbce450c226407e023f","sha256:358c12ed1743d0f000cabc4ab923d3333425ec0411dcdf68dd97564590d97bb5"],"state_sha256":"a75dbca09b3f40beb3607659324e9cbe50b8c348f10df68aae85d196df273250"}