{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4NHYCUCGC7D7TZYC3TEX6TYAXB","short_pith_number":"pith:4NHYCUCG","canonical_record":{"source":{"id":"2212.13261","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2022-12-25T21:00:36Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8a9b58b9a31ac3881da07a18870bd68062ff93a34ce5f40c200a9e4b7fde4d71","abstract_canon_sha256":"1d37dc7a18f98905f15d6049dfedefa8339976ff13db15fdbdff9c0c0240e64d"},"schema_version":"1.0"},"canonical_sha256":"e34f81504617c7f9e702dcc97f4f00b86fb90201dba9ee2defa129f2353829bb","source":{"kind":"arxiv","id":"2212.13261","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.13261","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"arxiv_version","alias_value":"2212.13261v3","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.13261","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_12","alias_value":"4NHYCUCGC7D7","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_16","alias_value":"4NHYCUCGC7D7TZYC","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_8","alias_value":"4NHYCUCG","created_at":"2026-07-05T05:44:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4NHYCUCGC7D7TZYC3TEX6TYAXB","target":"record","payload":{"canonical_record":{"source":{"id":"2212.13261","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2022-12-25T21:00:36Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8a9b58b9a31ac3881da07a18870bd68062ff93a34ce5f40c200a9e4b7fde4d71","abstract_canon_sha256":"1d37dc7a18f98905f15d6049dfedefa8339976ff13db15fdbdff9c0c0240e64d"},"schema_version":"1.0"},"canonical_sha256":"e34f81504617c7f9e702dcc97f4f00b86fb90201dba9ee2defa129f2353829bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:44:52.155801Z","signature_b64":"OasxP4lPWzPOzeZB6fhkYt+ih4CdKdTK5dRikY4B1OAWv+spX6s3jzIB9wSfTpR4p+h+uEJ1hs1Sm6jyB7iaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e34f81504617c7f9e702dcc97f4f00b86fb90201dba9ee2defa129f2353829bb","last_reissued_at":"2026-07-05T05:44:52.155284Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:44:52.155284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.13261","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:44:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46bSVldk9PR6cANEWhNn5UMoLdxo5/PINTULJY9zudFrXzaCRmCJwN68WvxjahulJz9wvtDPyCLIlYJYQMvuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:06:57.136938Z"},"content_sha256":"262ea117cfababcd1ad3a1ea06a3cc052b10b010c5207f5608454700e7254d31","schema_version":"1.0","event_id":"sha256:262ea117cfababcd1ad3a1ea06a3cc052b10b010c5207f5608454700e7254d31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4NHYCUCGC7D7TZYC3TEX6TYAXB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explainable AI for Bioinformatics: Methods, Tools, and Applications","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Christoph Lange, Dietrich Rebholz-Schuhmann, Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Tanhim Islam","submitted_at":"2022-12-25T21:00:36Z","abstract_excerpt":"Artificial intelligence (AI) systems utilizing deep neural networks (DNNs) and machine learning (ML) algorithms are widely used for solving important problems in bioinformatics, biomedical informatics, and precision medicine. However, complex DNNs or ML models, which are often perceived as opaque and black-box, can make it difficult to understand the reasoning behind their decisions. This lack of transparency can be a challenge for both end-users and decision-makers, as well as AI developers. Additionally, in sensitive areas like healthcare, explainability and accountability are not only desir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.13261","kind":"arxiv","version":3},"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/2212.13261/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":"2026-07-05T05:44:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hed10p1CEXx5Dw3dCRPUw3q/HoecqeIZG0RfDBdxV+ojAyzS2EGxOFIlyvEOE4KkjlWC/CR/UR5cm6TB5QeiDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:06:57.137363Z"},"content_sha256":"5fcdfc98402533a401beb4a067a5e034f918f7fd88aea0337eebd5248a7c86c1","schema_version":"1.0","event_id":"sha256:5fcdfc98402533a401beb4a067a5e034f918f7fd88aea0337eebd5248a7c86c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/bundle.json","state_url":"https://pith.science/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/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":"2026-07-08T19:06:57Z","links":{"resolver":"https://pith.science/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB","bundle":"https://pith.science/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/bundle.json","state":"https://pith.science/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NHYCUCGC7D7TZYC3TEX6TYAXB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4NHYCUCGC7D7TZYC3TEX6TYAXB","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":"1d37dc7a18f98905f15d6049dfedefa8339976ff13db15fdbdff9c0c0240e64d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2022-12-25T21:00:36Z","title_canon_sha256":"8a9b58b9a31ac3881da07a18870bd68062ff93a34ce5f40c200a9e4b7fde4d71"},"schema_version":"1.0","source":{"id":"2212.13261","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.13261","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"arxiv_version","alias_value":"2212.13261v3","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.13261","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_12","alias_value":"4NHYCUCGC7D7","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_16","alias_value":"4NHYCUCGC7D7TZYC","created_at":"2026-07-05T05:44:52Z"},{"alias_kind":"pith_short_8","alias_value":"4NHYCUCG","created_at":"2026-07-05T05:44:52Z"}],"graph_snapshots":[{"event_id":"sha256:5fcdfc98402533a401beb4a067a5e034f918f7fd88aea0337eebd5248a7c86c1","target":"graph","created_at":"2026-07-05T05:44:52Z","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/2212.13261/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence (AI) systems utilizing deep neural networks (DNNs) and machine learning (ML) algorithms are widely used for solving important problems in bioinformatics, biomedical informatics, and precision medicine. However, complex DNNs or ML models, which are often perceived as opaque and black-box, can make it difficult to understand the reasoning behind their decisions. This lack of transparency can be a challenge for both end-users and decision-makers, as well as AI developers. Additionally, in sensitive areas like healthcare, explainability and accountability are not only desir","authors_text":"Christoph Lange, Dietrich Rebholz-Schuhmann, Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Tanhim Islam","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2022-12-25T21:00:36Z","title":"Explainable AI for Bioinformatics: Methods, Tools, and Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.13261","kind":"arxiv","version":3},"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":"sha256:262ea117cfababcd1ad3a1ea06a3cc052b10b010c5207f5608454700e7254d31","target":"record","created_at":"2026-07-05T05:44:52Z","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":"1d37dc7a18f98905f15d6049dfedefa8339976ff13db15fdbdff9c0c0240e64d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.QM","submitted_at":"2022-12-25T21:00:36Z","title_canon_sha256":"8a9b58b9a31ac3881da07a18870bd68062ff93a34ce5f40c200a9e4b7fde4d71"},"schema_version":"1.0","source":{"id":"2212.13261","kind":"arxiv","version":3}},"canonical_sha256":"e34f81504617c7f9e702dcc97f4f00b86fb90201dba9ee2defa129f2353829bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e34f81504617c7f9e702dcc97f4f00b86fb90201dba9ee2defa129f2353829bb","first_computed_at":"2026-07-05T05:44:52.155284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:44:52.155284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OasxP4lPWzPOzeZB6fhkYt+ih4CdKdTK5dRikY4B1OAWv+spX6s3jzIB9wSfTpR4p+h+uEJ1hs1Sm6jyB7iaAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:44:52.155801Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.13261","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:262ea117cfababcd1ad3a1ea06a3cc052b10b010c5207f5608454700e7254d31","sha256:5fcdfc98402533a401beb4a067a5e034f918f7fd88aea0337eebd5248a7c86c1"],"state_sha256":"492635749fe3f1045f2ae5ed46b8b738c03a2cc30634d77512ddf525f6378d18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IRUXK64YvoMTwLmUj0YdXKbjUf8+3W19DDHb2ZvYJjftEKei+icPQB1UQ4BiTzaRZWH4Wge5lvoOxOixAl+gAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T19:06:57.141294Z","bundle_sha256":"68d81ba8da8906e2ba4b8bb99c76acdb93ab9a170604929e0f1ecc86cf70733e"}}