{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:P7Z53RLM66OKAXG7UAKBY37QKM","short_pith_number":"pith:P7Z53RLM","canonical_record":{"source":{"id":"2306.02773","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.ST","submitted_at":"2023-06-05T10:59:53Z","cross_cats_sorted":["q-fin.GN"],"title_canon_sha256":"08614f128dd980fbb64fb3281bf56ea1a14cb85d81a5cee668989473754b7391","abstract_canon_sha256":"eb3bc2a8861422ff1779f76e09d82635627a2000f9a9c33b491cb83bfc845997"},"schema_version":"1.0"},"canonical_sha256":"7ff3ddc56cf79ca05cdfa0141c6ff0531d488b924270e4cb50543394c566bb06","source":{"kind":"arxiv","id":"2306.02773","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02773","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02773v1","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02773","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"P7Z53RLM66OK","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"P7Z53RLM66OKAXG7","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"P7Z53RLM","created_at":"2026-07-05T06:17:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:P7Z53RLM66OKAXG7UAKBY37QKM","target":"record","payload":{"canonical_record":{"source":{"id":"2306.02773","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.ST","submitted_at":"2023-06-05T10:59:53Z","cross_cats_sorted":["q-fin.GN"],"title_canon_sha256":"08614f128dd980fbb64fb3281bf56ea1a14cb85d81a5cee668989473754b7391","abstract_canon_sha256":"eb3bc2a8861422ff1779f76e09d82635627a2000f9a9c33b491cb83bfc845997"},"schema_version":"1.0"},"canonical_sha256":"7ff3ddc56cf79ca05cdfa0141c6ff0531d488b924270e4cb50543394c566bb06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:17:31.117744Z","signature_b64":"ZgwgsUSepid0MkqdDJAb3WaRsL2RXiqtMVXavmOe0RqE32hTXB60wG45XTZRmRb7420cuL4UePqhUGtvjZ0CAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ff3ddc56cf79ca05cdfa0141c6ff0531d488b924270e4cb50543394c566bb06","last_reissued_at":"2026-07-05T06:17:31.117257Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:17:31.117257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.02773","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":"2026-07-05T06:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"okAFx5cD9pCdodMOAxU3l8wBgmsSLuBZN4UjBdY0fNe2Uw+MMWrIOsYp5+iTqdJ/Ctn2JxGjwmsW2TTFVDOSBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:18:28.438246Z"},"content_sha256":"685f8a156dbd64551f47c30fcb98bda8f8aab16033237d60a157cab9c2a7a539","schema_version":"1.0","event_id":"sha256:685f8a156dbd64551f47c30fcb98bda8f8aab16033237d60a157cab9c2a7a539"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:P7Z53RLM66OKAXG7UAKBY37QKM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explaining AI in Finance: Past, Present, Prospects","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-fin.GN"],"primary_cat":"q-fin.ST","authors_text":"Barry Quinn","submitted_at":"2023-06-05T10:59:53Z","abstract_excerpt":"This paper explores the journey of AI in finance, with a particular focus on the crucial role and potential of Explainable AI (XAI). We trace AI's evolution from early statistical methods to sophisticated machine learning, highlighting XAI's role in popular financial applications. The paper underscores the superior interpretability of methods like Shapley values compared to traditional linear regression in complex financial scenarios. It emphasizes the necessity of further XAI research, given forthcoming EU regulations. The paper demonstrates, through simulations, that XAI enhances trust in AI"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02773","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/2306.02773/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":"2026-07-05T06:17:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6BE7j+EobJzOqz3OHeI1AqI5wJLlpyIeZNZnNiiwow2LaEH7hb4FiXNuwKVbrXBh+A9dVu+QrYjqCVoKg8sTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:18:28.439227Z"},"content_sha256":"96f3928bf64308c7b1678ab3169acf65113b8c958cfcc4fe9e2397ce534b51ef","schema_version":"1.0","event_id":"sha256:96f3928bf64308c7b1678ab3169acf65113b8c958cfcc4fe9e2397ce534b51ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P7Z53RLM66OKAXG7UAKBY37QKM/bundle.json","state_url":"https://pith.science/pith/P7Z53RLM66OKAXG7UAKBY37QKM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P7Z53RLM66OKAXG7UAKBY37QKM/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":"2026-08-10T11:18:28Z","links":{"resolver":"https://pith.science/pith/P7Z53RLM66OKAXG7UAKBY37QKM","bundle":"https://pith.science/pith/P7Z53RLM66OKAXG7UAKBY37QKM/bundle.json","state":"https://pith.science/pith/P7Z53RLM66OKAXG7UAKBY37QKM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P7Z53RLM66OKAXG7UAKBY37QKM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:P7Z53RLM66OKAXG7UAKBY37QKM","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":"eb3bc2a8861422ff1779f76e09d82635627a2000f9a9c33b491cb83bfc845997","cross_cats_sorted":["q-fin.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.ST","submitted_at":"2023-06-05T10:59:53Z","title_canon_sha256":"08614f128dd980fbb64fb3281bf56ea1a14cb85d81a5cee668989473754b7391"},"schema_version":"1.0","source":{"id":"2306.02773","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02773","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02773v1","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02773","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_12","alias_value":"P7Z53RLM66OK","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_16","alias_value":"P7Z53RLM66OKAXG7","created_at":"2026-07-05T06:17:31Z"},{"alias_kind":"pith_short_8","alias_value":"P7Z53RLM","created_at":"2026-07-05T06:17:31Z"}],"graph_snapshots":[{"event_id":"sha256:96f3928bf64308c7b1678ab3169acf65113b8c958cfcc4fe9e2397ce534b51ef","target":"graph","created_at":"2026-07-05T06:17:31Z","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/2306.02773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper explores the journey of AI in finance, with a particular focus on the crucial role and potential of Explainable AI (XAI). We trace AI's evolution from early statistical methods to sophisticated machine learning, highlighting XAI's role in popular financial applications. The paper underscores the superior interpretability of methods like Shapley values compared to traditional linear regression in complex financial scenarios. It emphasizes the necessity of further XAI research, given forthcoming EU regulations. The paper demonstrates, through simulations, that XAI enhances trust in AI","authors_text":"Barry Quinn","cross_cats":["q-fin.GN"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.ST","submitted_at":"2023-06-05T10:59:53Z","title":"Explaining AI in Finance: Past, Present, Prospects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02773","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":"sha256:685f8a156dbd64551f47c30fcb98bda8f8aab16033237d60a157cab9c2a7a539","target":"record","created_at":"2026-07-05T06:17:31Z","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":"eb3bc2a8861422ff1779f76e09d82635627a2000f9a9c33b491cb83bfc845997","cross_cats_sorted":["q-fin.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-fin.ST","submitted_at":"2023-06-05T10:59:53Z","title_canon_sha256":"08614f128dd980fbb64fb3281bf56ea1a14cb85d81a5cee668989473754b7391"},"schema_version":"1.0","source":{"id":"2306.02773","kind":"arxiv","version":1}},"canonical_sha256":"7ff3ddc56cf79ca05cdfa0141c6ff0531d488b924270e4cb50543394c566bb06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ff3ddc56cf79ca05cdfa0141c6ff0531d488b924270e4cb50543394c566bb06","first_computed_at":"2026-07-05T06:17:31.117257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:17:31.117257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZgwgsUSepid0MkqdDJAb3WaRsL2RXiqtMVXavmOe0RqE32hTXB60wG45XTZRmRb7420cuL4UePqhUGtvjZ0CAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:17:31.117744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.02773","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:685f8a156dbd64551f47c30fcb98bda8f8aab16033237d60a157cab9c2a7a539","sha256:96f3928bf64308c7b1678ab3169acf65113b8c958cfcc4fe9e2397ce534b51ef"],"state_sha256":"10384d32ddfad3d6fcfc133d67fa6c1bd6086c8c9272fb4064c63a8f291c6d9f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PeURJUJGOaEqYwBJaf0Du82QfLxVn67yQFK1X0hP/QxSIagVQkf8tf+RcxGNHrel6Z8OzpcWm2QdxCny+ia7BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T11:18:28.445711Z","bundle_sha256":"f40984e3b4ac311cbaee0b9f9c3d5e19df2fa5194d4a5b75278434f7256cbf79"}}