{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GUJ45JLSPZMWQ62TWIDJTTWWRV","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":"62cb7a814acc810cc125029fe3cba1ac76ed67a963561bdda4895c09905245fb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-09T16:50:02Z","title_canon_sha256":"7d4b5c78f6c303782b63f4a8a1cabc607bef94d2b0fc4eb3f4667515ca7d9ee6"},"schema_version":"1.0","source":{"id":"2306.06029","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06029","created_at":"2026-07-05T06:19:13Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06029v1","created_at":"2026-07-05T06:19:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06029","created_at":"2026-07-05T06:19:13Z"},{"alias_kind":"pith_short_12","alias_value":"GUJ45JLSPZMW","created_at":"2026-07-05T06:19:13Z"},{"alias_kind":"pith_short_16","alias_value":"GUJ45JLSPZMWQ62T","created_at":"2026-07-05T06:19:13Z"},{"alias_kind":"pith_short_8","alias_value":"GUJ45JLS","created_at":"2026-07-05T06:19:13Z"}],"graph_snapshots":[{"event_id":"sha256:aca1dd6761e523fafcd985cd146b11b0ddf29bf239ac4477d1e75b008573d791","target":"graph","created_at":"2026-07-05T06:19:13Z","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/2306.06029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a proper level of generality/specificity of the explanation; considering assumptions about the familiarity of the explanation beneficiary with the AI task under consideration; referring to specific elements that have contributed to the decision; making use of additional knowledge (e.g. expert evidence) which might not be part of the prediction process; and providing evidence supporting negative hypothesis. Finally, the syst","authors_text":"Ainara Estarrona, Aitziber Atutxa, Anar Yeginbergenova, Ander Berrondo, German Rigau, Iakes Goenaga, Igor Perez-Tejedor, Iker Garcia-Ferrero, I\\~nigo Alonso, Koldo Gojenola, Maite Oronoz, Rodrigo Agerri","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-09T16:50:02Z","title":"HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06029","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":"sha256:052c2a3e2d333f144a0653981ff8c1dfce72e67cea71b05ce58402b73aad4380","target":"record","created_at":"2026-07-05T06:19:13Z","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":"62cb7a814acc810cc125029fe3cba1ac76ed67a963561bdda4895c09905245fb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-09T16:50:02Z","title_canon_sha256":"7d4b5c78f6c303782b63f4a8a1cabc607bef94d2b0fc4eb3f4667515ca7d9ee6"},"schema_version":"1.0","source":{"id":"2306.06029","kind":"arxiv","version":1}},"canonical_sha256":"3513cea5727e59687b53b20699ced68d4dbc91c05591a73e99ab39cea02e9f35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3513cea5727e59687b53b20699ced68d4dbc91c05591a73e99ab39cea02e9f35","first_computed_at":"2026-07-05T06:19:13.030519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:13.030519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RkXllG2Q9Qmr4fAuzSfQKNtBGmG6/1hgqzSPJILVweiEjoGyYKIJERmDBqRKQXU5Ul73yuEcv8X6gYl2yRxlDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:13.031925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06029","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:052c2a3e2d333f144a0653981ff8c1dfce72e67cea71b05ce58402b73aad4380","sha256:aca1dd6761e523fafcd985cd146b11b0ddf29bf239ac4477d1e75b008573d791"],"state_sha256":"d4a3292ef45270e6a48c63ff14e4156417dfef980676ac9fd73a7d76f1157b6c"}