{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IIYRPP46OPFXKDGBWQFZQVY3VC","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":"a8861d2fb4191d82323715166430a81e5eeb4f206188f2da73b9b7b9085c3fdf","cross_cats_sorted":["cs.AI","cs.CY","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-12-14T15:40:51Z","title_canon_sha256":"bea3f0a1829262d0bc6f4119e019a4baf65fb97c62e1d0627355f96097080a67"},"schema_version":"1.0","source":{"id":"2312.10094","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.10094","created_at":"2026-07-05T07:25:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.10094v1","created_at":"2026-07-05T07:25:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.10094","created_at":"2026-07-05T07:25:00Z"},{"alias_kind":"pith_short_12","alias_value":"IIYRPP46OPFX","created_at":"2026-07-05T07:25:00Z"},{"alias_kind":"pith_short_16","alias_value":"IIYRPP46OPFXKDGB","created_at":"2026-07-05T07:25:00Z"},{"alias_kind":"pith_short_8","alias_value":"IIYRPP46","created_at":"2026-07-05T07:25:00Z"}],"graph_snapshots":[{"event_id":"sha256:dc36718501da9dbb758e8ffeb3e01487ecad59cbfc5d02ea56e0d92e55913283","target":"graph","created_at":"2026-07-05T07:25:00Z","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/2312.10094/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The remarkable success of Artificial Intelligence in advancing automated decision-making is evident both in academia and industry. Within the plethora of applications, ranking systems hold significant importance in various domains. This paper advocates for the application of a specific form of Explainable AI -- namely, contrastive explanations -- as particularly well-suited for addressing ranking problems. This approach is especially potent when combined with an Evaluative AI methodology, which conscientiously evaluates both positive and negative aspects influencing a potential ranking. Theref","authors_text":"Alessandro Castelnovo, Daniele Regoli, Gabriele Nanino, Nicol\\`o Mombelli, Riccardo Crupi","cross_cats":["cs.AI","cs.CY","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-12-14T15:40:51Z","title":"Evaluative Item-Contrastive Explanations in Rankings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.10094","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":"sha256:2b6b7c7d4de08d67ff79fee593fec7416351749436261ca507a6457aef69fe9c","target":"record","created_at":"2026-07-05T07:25:00Z","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":"a8861d2fb4191d82323715166430a81e5eeb4f206188f2da73b9b7b9085c3fdf","cross_cats_sorted":["cs.AI","cs.CY","cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2023-12-14T15:40:51Z","title_canon_sha256":"bea3f0a1829262d0bc6f4119e019a4baf65fb97c62e1d0627355f96097080a67"},"schema_version":"1.0","source":{"id":"2312.10094","kind":"arxiv","version":1}},"canonical_sha256":"423117bf9e73cb750cc1b40b98571ba8a3b33d43a1df588700f6386b4c3c6977","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"423117bf9e73cb750cc1b40b98571ba8a3b33d43a1df588700f6386b4c3c6977","first_computed_at":"2026-07-05T07:25:00.956535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:25:00.956535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YDb1DGUjNd3t10no7LaV/48KybTyo4gEdHm/33j+WamL3qtxW0gmO2RrtnVY9FIcLw8asWlafZRWrT7WINSbDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:25:00.957064Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.10094","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b6b7c7d4de08d67ff79fee593fec7416351749436261ca507a6457aef69fe9c","sha256:dc36718501da9dbb758e8ffeb3e01487ecad59cbfc5d02ea56e0d92e55913283"],"state_sha256":"c5c463292bbf24ba3e5e0a3f0fa8b7645548fde94fa7e705ee935d5a245a93f0"}