{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WPMGMKDVDL72JLBMPBTXNIMYAD","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":"69345be8ad9e78a8f3ed6af2d5731e3e050494c2f7f7a3b35a34c8adf205acf1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T15:53:05Z","title_canon_sha256":"63f198067bf7d4e9def9f1c689e9da4618bf3d8faa7d1fa747ae4b84244d13d7"},"schema_version":"1.0","source":{"id":"2508.03586","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03586","created_at":"2026-07-05T11:48:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03586v1","created_at":"2026-07-05T11:48:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03586","created_at":"2026-07-05T11:48:59Z"},{"alias_kind":"pith_short_12","alias_value":"WPMGMKDVDL72","created_at":"2026-07-05T11:48:59Z"},{"alias_kind":"pith_short_16","alias_value":"WPMGMKDVDL72JLBM","created_at":"2026-07-05T11:48:59Z"},{"alias_kind":"pith_short_8","alias_value":"WPMGMKDV","created_at":"2026-07-05T11:48:59Z"}],"graph_snapshots":[{"event_id":"sha256:3082e92b090e064cb9a7820221c06c4b5776229b56ca2ded34cece54ea340f92","target":"graph","created_at":"2026-07-05T11:48:59Z","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/2508.03586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explainable AI (XAI) builds trust in complex systems through model attribution methods that reveal the decision rationale. However, due to the absence of a unified optimal explanation, existing XAI methods lack a ground truth for objective evaluation and optimization. To address this issue, we propose Deep architecture-based Faith explainer (DeepFaith), a domain-free and model-agnostic unified explanation framework under the lens of faithfulness. By establishing a unified formulation for multiple widely used and well-validated faithfulness metrics, we derive an optimal explanation objective wh","authors_text":"Changsheng Li, Guoren Wang, Jiarun Fu, Lizhong Ding, Pengqi Li, Shihan Jia, Yanyu Ren, Ye Yuan, Yuhan Guo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T15:53:05Z","title":"DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03586","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":"sha256:49cea5f9661c5c07d87da9cc94c8e733f98f9139ae0a701ac4d0cc400007550b","target":"record","created_at":"2026-07-05T11:48:59Z","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":"69345be8ad9e78a8f3ed6af2d5731e3e050494c2f7f7a3b35a34c8adf205acf1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T15:53:05Z","title_canon_sha256":"63f198067bf7d4e9def9f1c689e9da4618bf3d8faa7d1fa747ae4b84244d13d7"},"schema_version":"1.0","source":{"id":"2508.03586","kind":"arxiv","version":1}},"canonical_sha256":"b3d86628751affa4ac2c786776a19800d5d90f89c75d009b52360628399fec19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3d86628751affa4ac2c786776a19800d5d90f89c75d009b52360628399fec19","first_computed_at":"2026-07-05T11:48:59.446075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:59.446075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5A2RfqPER+KUp4z/egmZwRXtY6G/HvaeYSyNCsI8Bw8cOtlZnHvX6fCAHXCBXckx1hpA5aBNYsfzWm3kwFC6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:59.446535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03586","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49cea5f9661c5c07d87da9cc94c8e733f98f9139ae0a701ac4d0cc400007550b","sha256:3082e92b090e064cb9a7820221c06c4b5776229b56ca2ded34cece54ea340f92"],"state_sha256":"bc1ea5e14873a8aaa8aa4e641f54def9ab625164d9801be75712c4af59efe2c9"}