{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JOP5GV75GARADHXQP37XDP3PFN","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":"351be4accb52bc816417acbe13559f297afcb94977ffd9e40ca82964b7b004b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T16:30:30Z","title_canon_sha256":"d00bc019e8d93544a77b2ef0d5199b1a10553e9ca3aa1dd08d06e9ef887c6df5"},"schema_version":"1.0","source":{"id":"2508.20021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20021","created_at":"2026-07-05T12:00:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20021v1","created_at":"2026-07-05T12:00:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20021","created_at":"2026-07-05T12:00:22Z"},{"alias_kind":"pith_short_12","alias_value":"JOP5GV75GARA","created_at":"2026-07-05T12:00:22Z"},{"alias_kind":"pith_short_16","alias_value":"JOP5GV75GARADHXQ","created_at":"2026-07-05T12:00:22Z"},{"alias_kind":"pith_short_8","alias_value":"JOP5GV75","created_at":"2026-07-05T12:00:22Z"}],"graph_snapshots":[{"event_id":"sha256:4704808f1807215e44a13181bc1bb33b580850333a92d43346b9e8dc2bc1e522","target":"graph","created_at":"2026-07-05T12:00:22Z","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/2508.20021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sensitive attributes like gender or age can lead to unfair predictions in machine learning tasks such as predictive business process monitoring, particularly when used without considering context. We present FairLoop1, a tool for human-guided bias mitigation in neural network-based prediction models. FairLoop distills decision trees from neural networks, allowing users to inspect and modify unfair decision logic, which is then used to fine-tune the original model towards fairer predictions. Compared to other approaches to fairness, FairLoop enables context-aware bias removal through human invo","authors_text":"Felix M\\\"ohrlein, Julian Neuberger, Lars Ackermann, Martin K\\\"appel, Martin Matzner, Stefan Jablonski, Sven Weinzierl","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T16:30:30Z","title":"FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20021","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":"sha256:4fbeb6fc334496b82ad2ff9a66026cc79627362e91c827b784e80c46ea2f9355","target":"record","created_at":"2026-07-05T12:00:22Z","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":"351be4accb52bc816417acbe13559f297afcb94977ffd9e40ca82964b7b004b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T16:30:30Z","title_canon_sha256":"d00bc019e8d93544a77b2ef0d5199b1a10553e9ca3aa1dd08d06e9ef887c6df5"},"schema_version":"1.0","source":{"id":"2508.20021","kind":"arxiv","version":1}},"canonical_sha256":"4b9fd357fd3022019ef07eff71bf6f2b59793d04e8aa10713efc466966a9800c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b9fd357fd3022019ef07eff71bf6f2b59793d04e8aa10713efc466966a9800c","first_computed_at":"2026-07-05T12:00:22.438950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:22.438950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q7rZBOqW3YkSAnnHN2yKhvObXT8VefUug2Spd9Ag4gjixDQVUtY7wAh5hgy8LyGd4PJD3D/9CoQvsmOqIxEFBw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:22.439717Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4fbeb6fc334496b82ad2ff9a66026cc79627362e91c827b784e80c46ea2f9355","sha256:4704808f1807215e44a13181bc1bb33b580850333a92d43346b9e8dc2bc1e522"],"state_sha256":"516d2d36b35240fc25a8977e46e14684b26b1f9da639012ef40973f884af651c"}