{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TFDYNJFIHSVBYU6I2TMGYCWR23","short_pith_number":"pith:TFDYNJFI","canonical_record":{"source":{"id":"2312.00586","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:50:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3662aef0c2cb305b0035fca68ac9afaa58f800d2389656ebbc95b11fc64ffbce","abstract_canon_sha256":"8e430445735671de816c472df2f63b116973286491303a090fc6ad1dbf8a7048"},"schema_version":"1.0"},"canonical_sha256":"994786a4a83caa1c53c8d4d86c0ad1d6c08b3a5d6b4c1172b0b7f4131702813e","source":{"kind":"arxiv","id":"2312.00586","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00586","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00586v1","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00586","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"TFDYNJFIHSVB","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_16","alias_value":"TFDYNJFIHSVBYU6I","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_8","alias_value":"TFDYNJFI","created_at":"2026-07-05T07:19:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TFDYNJFIHSVBYU6I2TMGYCWR23","target":"record","payload":{"canonical_record":{"source":{"id":"2312.00586","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:50:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3662aef0c2cb305b0035fca68ac9afaa58f800d2389656ebbc95b11fc64ffbce","abstract_canon_sha256":"8e430445735671de816c472df2f63b116973286491303a090fc6ad1dbf8a7048"},"schema_version":"1.0"},"canonical_sha256":"994786a4a83caa1c53c8d4d86c0ad1d6c08b3a5d6b4c1172b0b7f4131702813e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:19:11.888960Z","signature_b64":"/78XjB4q7/69Aql6OkRGVvr0Mt3pmFcBfl4OqsHjwrG7oZ4v1HLRlfZLJyWbi76OEZK0YOvi2BYtIuK5euWLBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"994786a4a83caa1c53c8d4d86c0ad1d6c08b3a5d6b4c1172b0b7f4131702813e","last_reissued_at":"2026-07-05T07:19:11.888514Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:19:11.888514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.00586","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":"2026-07-05T07:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wf+OgMe/KWiKv9aYsap3HGAwc4vPlgDbo1H4f6g5iJX/U+Agd74qj4nJpIYacSPA6yUJGMgZmgVi4Fe4OHQUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T18:14:44.557156Z"},"content_sha256":"7b295cfa4234f489037c472c5c0992550a493a5d56cf775f9fb38230fe4d69bd","schema_version":"1.0","event_id":"sha256:7b295cfa4234f489037c472c5c0992550a493a5d56cf775f9fb38230fe4d69bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TFDYNJFIHSVBYU6I2TMGYCWR23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explainable Fraud Detection with Deep Symbolic Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Erman Acar, Floris den Hengst, Samantha Visbeek","submitted_at":"2023-12-01T13:50:55Z","abstract_excerpt":"There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection. Decisions made by fraud detection models need to be explainable in the event of a customer dispute. Additionally, the decision-making process in the model must be transparent to win the trust of regulators and business stakeholders. At the same time, fraud detection solutions can benefit from data due to the noisy, dynamic nature of fraud and the availability of large historical data sets. Finally, fraud detection is notorious for its class imbalance: there are typically several"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00586","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/2312.00586/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":"2026-07-05T07:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FAImoAD+mvkul0d0i/XdHt6I/V4WKZDtKybrnHdRbln5PoBzd2OfQ8EYJ8WsXfHqWEcKcwakf7e4X2vPxydPAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T18:14:44.557536Z"},"content_sha256":"9f2f3952471801ae5e796ead90c58af506e429937e58a6ebb405dd4d6c0dcdec","schema_version":"1.0","event_id":"sha256:9f2f3952471801ae5e796ead90c58af506e429937e58a6ebb405dd4d6c0dcdec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/bundle.json","state_url":"https://pith.science/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/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":"2026-08-21T18:14:44Z","links":{"resolver":"https://pith.science/pith/TFDYNJFIHSVBYU6I2TMGYCWR23","bundle":"https://pith.science/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/bundle.json","state":"https://pith.science/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TFDYNJFIHSVBYU6I2TMGYCWR23/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TFDYNJFIHSVBYU6I2TMGYCWR23","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":"8e430445735671de816c472df2f63b116973286491303a090fc6ad1dbf8a7048","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:50:55Z","title_canon_sha256":"3662aef0c2cb305b0035fca68ac9afaa58f800d2389656ebbc95b11fc64ffbce"},"schema_version":"1.0","source":{"id":"2312.00586","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00586","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00586v1","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00586","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"TFDYNJFIHSVB","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_16","alias_value":"TFDYNJFIHSVBYU6I","created_at":"2026-07-05T07:19:11Z"},{"alias_kind":"pith_short_8","alias_value":"TFDYNJFI","created_at":"2026-07-05T07:19:11Z"}],"graph_snapshots":[{"event_id":"sha256:9f2f3952471801ae5e796ead90c58af506e429937e58a6ebb405dd4d6c0dcdec","target":"graph","created_at":"2026-07-05T07:19:11Z","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/2312.00586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There is a growing demand for explainable, transparent, and data-driven models within the domain of fraud detection. Decisions made by fraud detection models need to be explainable in the event of a customer dispute. Additionally, the decision-making process in the model must be transparent to win the trust of regulators and business stakeholders. At the same time, fraud detection solutions can benefit from data due to the noisy, dynamic nature of fraud and the availability of large historical data sets. Finally, fraud detection is notorious for its class imbalance: there are typically several","authors_text":"Erman Acar, Floris den Hengst, Samantha Visbeek","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:50:55Z","title":"Explainable Fraud Detection with Deep Symbolic Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00586","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":"sha256:7b295cfa4234f489037c472c5c0992550a493a5d56cf775f9fb38230fe4d69bd","target":"record","created_at":"2026-07-05T07:19:11Z","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":"8e430445735671de816c472df2f63b116973286491303a090fc6ad1dbf8a7048","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-01T13:50:55Z","title_canon_sha256":"3662aef0c2cb305b0035fca68ac9afaa58f800d2389656ebbc95b11fc64ffbce"},"schema_version":"1.0","source":{"id":"2312.00586","kind":"arxiv","version":1}},"canonical_sha256":"994786a4a83caa1c53c8d4d86c0ad1d6c08b3a5d6b4c1172b0b7f4131702813e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"994786a4a83caa1c53c8d4d86c0ad1d6c08b3a5d6b4c1172b0b7f4131702813e","first_computed_at":"2026-07-05T07:19:11.888514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:19:11.888514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/78XjB4q7/69Aql6OkRGVvr0Mt3pmFcBfl4OqsHjwrG7oZ4v1HLRlfZLJyWbi76OEZK0YOvi2BYtIuK5euWLBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:19:11.888960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.00586","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b295cfa4234f489037c472c5c0992550a493a5d56cf775f9fb38230fe4d69bd","sha256:9f2f3952471801ae5e796ead90c58af506e429937e58a6ebb405dd4d6c0dcdec"],"state_sha256":"69416c53b75454cae024415eb25b5aa51a15c63e26e2db89b1b4b9f853eaac20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4t9Vft9LUswpjrTYEVOpsCzuq1Fv33JK79jv0ZIxV4j5xpmJ31FO3pLzq9IfRTHkVPvdRVYuYpvJa5nQzdoWBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T18:14:44.560201Z","bundle_sha256":"5b7364c39c7f808764b3d864d698ae14e04c5e1981ab3effb042ddd087776aee"}}