{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ATG4QPI7F55H7DCT6EESDG5WGZ","short_pith_number":"pith:ATG4QPI7","canonical_record":{"source":{"id":"2312.11507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-12-11T22:35:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9fe6bcc5089239cf22ef3d1ce92568e47c3d4333c89f5ee09b4855d09735f51e","abstract_canon_sha256":"0ee83fd80501ba765323115a2431905d399c4aec0d31714e1a58a2a684c85e97"},"schema_version":"1.0"},"canonical_sha256":"04cdc83d1f2f7a7f8c53f109219bb6367b7c735612add91b8ce01efc614269b1","source":{"kind":"arxiv","id":"2312.11507","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11507","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11507v1","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11507","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"ATG4QPI7F55H","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"ATG4QPI7F55H7DCT","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"ATG4QPI7","created_at":"2026-07-05T07:25:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ATG4QPI7F55H7DCT6EESDG5WGZ","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11507","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-12-11T22:35:21Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"9fe6bcc5089239cf22ef3d1ce92568e47c3d4333c89f5ee09b4855d09735f51e","abstract_canon_sha256":"0ee83fd80501ba765323115a2431905d399c4aec0d31714e1a58a2a684c85e97"},"schema_version":"1.0"},"canonical_sha256":"04cdc83d1f2f7a7f8c53f109219bb6367b7c735612add91b8ce01efc614269b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:25:50.552907Z","signature_b64":"1wmQP8dwEEc9hXQiACan6YqA4bwL71P0Dd7bG3gnhA6G8MNoLY3fOtpv+8/4WQajG1E3YGrAT5lIMwv0LgJNAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04cdc83d1f2f7a7f8c53f109219bb6367b7c735612add91b8ce01efc614269b1","last_reissued_at":"2026-07-05T07:25:50.552541Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:25:50.552541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11507","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kfDSXkN7q59aY0xZRL1pJN390Ks1LF/061EVff+im8VDyFPm6VlVXwycses9Q14mTSSU4TROWSu9xDheiKi5Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T23:49:29.420464Z"},"content_sha256":"8d5ff98cdb6669f9a9e614a1e537375aa99edc226e270e10ca27bf88d043b235","schema_version":"1.0","event_id":"sha256:8d5ff98cdb6669f9a9e614a1e537375aa99edc226e270e10ca27bf88d043b235"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ATG4QPI7F55H7DCT6EESDG5WGZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.HC","authors_text":"Milad Rogha","submitted_at":"2023-12-11T22:35:21Z","abstract_excerpt":"The unprecedented performance of machine learning models in recent years, particularly Deep Learning and transformer models, has resulted in their application in various domains such as finance, healthcare, and education. However, the models are error-prone and cannot be used autonomously, especially in decision-making scenarios where, technically or ethically, the cost of error is high. Moreover, because of the black-box nature of these models, it is frequently difficult for the end user to comprehend the models' outcomes and underlying processes to trust and use the model outcome to make a d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11507","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.11507/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dneswze2PPt3jP6xmRGPS2V5hww1HkXvCcZm70TCJ/3Cv+DwMsW1p0EPOxrOB72vjWJC/6DWfmHzL16rCFgGAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T23:49:29.420942Z"},"content_sha256":"8596606504546f224a9754f13c13dc86fc6c1d8e70bf68bcbab5c3c0d19bd48e","schema_version":"1.0","event_id":"sha256:8596606504546f224a9754f13c13dc86fc6c1d8e70bf68bcbab5c3c0d19bd48e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/bundle.json","state_url":"https://pith.science/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T23:49:29Z","links":{"resolver":"https://pith.science/pith/ATG4QPI7F55H7DCT6EESDG5WGZ","bundle":"https://pith.science/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/bundle.json","state":"https://pith.science/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ATG4QPI7F55H7DCT6EESDG5WGZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ATG4QPI7F55H7DCT6EESDG5WGZ","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":"0ee83fd80501ba765323115a2431905d399c4aec0d31714e1a58a2a684c85e97","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-12-11T22:35:21Z","title_canon_sha256":"9fe6bcc5089239cf22ef3d1ce92568e47c3d4333c89f5ee09b4855d09735f51e"},"schema_version":"1.0","source":{"id":"2312.11507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11507","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11507v1","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11507","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"ATG4QPI7F55H","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"ATG4QPI7F55H7DCT","created_at":"2026-07-05T07:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"ATG4QPI7","created_at":"2026-07-05T07:25:50Z"}],"graph_snapshots":[{"event_id":"sha256:8596606504546f224a9754f13c13dc86fc6c1d8e70bf68bcbab5c3c0d19bd48e","target":"graph","created_at":"2026-07-05T07:25:50Z","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/2312.11507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The unprecedented performance of machine learning models in recent years, particularly Deep Learning and transformer models, has resulted in their application in various domains such as finance, healthcare, and education. However, the models are error-prone and cannot be used autonomously, especially in decision-making scenarios where, technically or ethically, the cost of error is high. Moreover, because of the black-box nature of these models, it is frequently difficult for the end user to comprehend the models' outcomes and underlying processes to trust and use the model outcome to make a d","authors_text":"Milad Rogha","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-12-11T22:35:21Z","title":"Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11507","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":"sha256:8d5ff98cdb6669f9a9e614a1e537375aa99edc226e270e10ca27bf88d043b235","target":"record","created_at":"2026-07-05T07:25:50Z","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":"0ee83fd80501ba765323115a2431905d399c4aec0d31714e1a58a2a684c85e97","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-12-11T22:35:21Z","title_canon_sha256":"9fe6bcc5089239cf22ef3d1ce92568e47c3d4333c89f5ee09b4855d09735f51e"},"schema_version":"1.0","source":{"id":"2312.11507","kind":"arxiv","version":1}},"canonical_sha256":"04cdc83d1f2f7a7f8c53f109219bb6367b7c735612add91b8ce01efc614269b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04cdc83d1f2f7a7f8c53f109219bb6367b7c735612add91b8ce01efc614269b1","first_computed_at":"2026-07-05T07:25:50.552541Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:25:50.552541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1wmQP8dwEEc9hXQiACan6YqA4bwL71P0Dd7bG3gnhA6G8MNoLY3fOtpv+8/4WQajG1E3YGrAT5lIMwv0LgJNAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:25:50.552907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d5ff98cdb6669f9a9e614a1e537375aa99edc226e270e10ca27bf88d043b235","sha256:8596606504546f224a9754f13c13dc86fc6c1d8e70bf68bcbab5c3c0d19bd48e"],"state_sha256":"dbba9239345465ad8c1a9b67d636f6a3d7148752fc5dc2c4de79120be9b0401b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7VabYt1rvcq0lhGWrpQrb6wTbuL+bUeKI45tnuWxNUhbI/IdMkMu1M88r+GYCLMvuQ5Qjil8Hhr44zcPKi3NCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T23:49:29.424446Z","bundle_sha256":"3efc7d1d1124a930d3bab42825c04072bde353179f135662b01cdbb565c6b291"}}