{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UMOLPIGGF3DYHOS5GHFSIH6SRA","short_pith_number":"pith:UMOLPIGG","canonical_record":{"source":{"id":"2401.00193","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-30T10:20:47Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"67b7d37bddda9e1ee18b39d988b7e9acc7c3a52beba28929858c39c500b8ebbb","abstract_canon_sha256":"c3bb514994c6e5c63977393bd34c341b490e3e7f1243c951405943d7bd2c6b68"},"schema_version":"1.0"},"canonical_sha256":"a31cb7a0c62ec783ba5d31cb241fd28818f6ad0ee142c5567e3087c233b0ccf5","source":{"kind":"arxiv","id":"2401.00193","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00193","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00193v1","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00193","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_12","alias_value":"UMOLPIGGF3DY","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_16","alias_value":"UMOLPIGGF3DYHOS5","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_8","alias_value":"UMOLPIGG","created_at":"2026-07-05T09:00:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UMOLPIGGF3DYHOS5GHFSIH6SRA","target":"record","payload":{"canonical_record":{"source":{"id":"2401.00193","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-30T10:20:47Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"67b7d37bddda9e1ee18b39d988b7e9acc7c3a52beba28929858c39c500b8ebbb","abstract_canon_sha256":"c3bb514994c6e5c63977393bd34c341b490e3e7f1243c951405943d7bd2c6b68"},"schema_version":"1.0"},"canonical_sha256":"a31cb7a0c62ec783ba5d31cb241fd28818f6ad0ee142c5567e3087c233b0ccf5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:00:47.115329Z","signature_b64":"3Cp5FJId8TXG39nTAaMCZSqCticB6SSY835Vr717PlTQZHuMHPcxScCUHKyJRZTeuFeRu12SA6dDwS+dUmzhCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a31cb7a0c62ec783ba5d31cb241fd28818f6ad0ee142c5567e3087c233b0ccf5","last_reissued_at":"2026-07-05T09:00:47.114875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:00:47.114875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.00193","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":"2026-07-05T09:00:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3sLnA0PcCvGMomrTpLznvnpWTVWqc/DbAYyVPSI9SEzGsKjOZ2lConzyRj/1EXeDSU4M0WkNWwTjoz1vuP65Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T04:31:44.995547Z"},"content_sha256":"b337da9e66a2fcb1889f397e694582867ded7ed1faddbca012a16fa00395486c","schema_version":"1.0","event_id":"sha256:b337da9e66a2fcb1889f397e694582867ded7ed1faddbca012a16fa00395486c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UMOLPIGGF3DYHOS5GHFSIH6SRA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.LG","authors_text":"Saikat Barua, Sifat Momen","submitted_at":"2023-12-30T10:20:47Z","abstract_excerpt":"In order to fully harness the potential of machine learning, it is crucial to establish a system that renders the field more accessible and less daunting for individuals who may not possess a comprehensive understanding of its intricacies. The paper describes the design of a system that integrates AutoML, XAI, and synthetic data generation to provide a great UX design for users. The system allows users to navigate and harness the power of machine learning while abstracting its complexities and providing high usability. The paper proposes two novel classifiers, Logistic Regression Forest and Su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00193","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/2401.00193/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":"2026-07-05T09:00:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KGDYXW0zcHFz9KRZ4VPtdxIqlcSL/axIviCxUijwxHrIWiWBGwqqGnlcqziXmdBIYGx49PeG3wiqpltd4BwbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T04:31:44.996092Z"},"content_sha256":"e1b17f0b4f4e42d0ceb205ed4e04bfcd49540f4b6f0ad85f948700bfb17424d0","schema_version":"1.0","event_id":"sha256:e1b17f0b4f4e42d0ceb205ed4e04bfcd49540f4b6f0ad85f948700bfb17424d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/bundle.json","state_url":"https://pith.science/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/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":"2026-08-15T04:31:44Z","links":{"resolver":"https://pith.science/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA","bundle":"https://pith.science/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/bundle.json","state":"https://pith.science/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UMOLPIGGF3DYHOS5GHFSIH6SRA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UMOLPIGGF3DYHOS5GHFSIH6SRA","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":"c3bb514994c6e5c63977393bd34c341b490e3e7f1243c951405943d7bd2c6b68","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-30T10:20:47Z","title_canon_sha256":"67b7d37bddda9e1ee18b39d988b7e9acc7c3a52beba28929858c39c500b8ebbb"},"schema_version":"1.0","source":{"id":"2401.00193","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00193","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00193v1","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00193","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_12","alias_value":"UMOLPIGGF3DY","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_16","alias_value":"UMOLPIGGF3DYHOS5","created_at":"2026-07-05T09:00:47Z"},{"alias_kind":"pith_short_8","alias_value":"UMOLPIGG","created_at":"2026-07-05T09:00:47Z"}],"graph_snapshots":[{"event_id":"sha256:e1b17f0b4f4e42d0ceb205ed4e04bfcd49540f4b6f0ad85f948700bfb17424d0","target":"graph","created_at":"2026-07-05T09:00:47Z","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/2401.00193/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to fully harness the potential of machine learning, it is crucial to establish a system that renders the field more accessible and less daunting for individuals who may not possess a comprehensive understanding of its intricacies. The paper describes the design of a system that integrates AutoML, XAI, and synthetic data generation to provide a great UX design for users. The system allows users to navigate and harness the power of machine learning while abstracting its complexities and providing high usability. The paper proposes two novel classifiers, Logistic Regression Forest and Su","authors_text":"Saikat Barua, Sifat Momen","cross_cats":["cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-30T10:20:47Z","title":"KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00193","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:b337da9e66a2fcb1889f397e694582867ded7ed1faddbca012a16fa00395486c","target":"record","created_at":"2026-07-05T09:00:47Z","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":"c3bb514994c6e5c63977393bd34c341b490e3e7f1243c951405943d7bd2c6b68","cross_cats_sorted":["cs.HC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-12-30T10:20:47Z","title_canon_sha256":"67b7d37bddda9e1ee18b39d988b7e9acc7c3a52beba28929858c39c500b8ebbb"},"schema_version":"1.0","source":{"id":"2401.00193","kind":"arxiv","version":1}},"canonical_sha256":"a31cb7a0c62ec783ba5d31cb241fd28818f6ad0ee142c5567e3087c233b0ccf5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a31cb7a0c62ec783ba5d31cb241fd28818f6ad0ee142c5567e3087c233b0ccf5","first_computed_at":"2026-07-05T09:00:47.114875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:47.114875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Cp5FJId8TXG39nTAaMCZSqCticB6SSY835Vr717PlTQZHuMHPcxScCUHKyJRZTeuFeRu12SA6dDwS+dUmzhCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:47.115329Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00193","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b337da9e66a2fcb1889f397e694582867ded7ed1faddbca012a16fa00395486c","sha256:e1b17f0b4f4e42d0ceb205ed4e04bfcd49540f4b6f0ad85f948700bfb17424d0"],"state_sha256":"05180126ae7e4124787fabb316b72612161a619f21b9e6975851ba6259f7e2bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2+DGXBeIsHdzXrjBa7w2gIC0IWmHAMlmiv2wpl/PW/MFlFe3i8bqqNrrC1bjIM1lPWOhgqjYBeKgLllMzxt2DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T04:31:45.001360Z","bundle_sha256":"673b669ad2c75aba6077104970c4522088cfc775a2c494aa333125bbae677511"}}