{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HSHFEFMOGZH5A63HKNN65HNN5Z","short_pith_number":"pith:HSHFEFMO","canonical_record":{"source":{"id":"1703.01365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-04T00:18:49Z","cross_cats_sorted":[],"title_canon_sha256":"53a3a561b877be78522b3078e8b0fa3703fc43f0f6f84db19fba631e1e76dd45","abstract_canon_sha256":"187bb1b5e5146949dbcd1b2b6a082989aef03343c9fe394372d289edbb61fa50"},"schema_version":"1.0"},"canonical_sha256":"3c8e52158e364fd07b67535bee9dadee617d0a80682d2541c7d50978a34aa72e","source":{"kind":"arxiv","id":"1703.01365","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01365","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01365v2","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01365","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"pith_short_12","alias_value":"HSHFEFMOGZH5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HSHFEFMOGZH5A63H","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HSHFEFMO","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HSHFEFMOGZH5A63HKNN65HNN5Z","target":"record","payload":{"canonical_record":{"source":{"id":"1703.01365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-04T00:18:49Z","cross_cats_sorted":[],"title_canon_sha256":"53a3a561b877be78522b3078e8b0fa3703fc43f0f6f84db19fba631e1e76dd45","abstract_canon_sha256":"187bb1b5e5146949dbcd1b2b6a082989aef03343c9fe394372d289edbb61fa50"},"schema_version":"1.0"},"canonical_sha256":"3c8e52158e364fd07b67535bee9dadee617d0a80682d2541c7d50978a34aa72e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:29.506505Z","signature_b64":"2s5Uc+uIkGA/eJYsxmkxZZqzuHen60fhK5kZ3L0LVsDUo/MggVbEF3Iy+b97k3F+uZVWmkrs4fnECSL9pwToDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c8e52158e364fd07b67535bee9dadee617d0a80682d2541c7d50978a34aa72e","last_reissued_at":"2026-05-18T00:42:29.506038Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:29.506038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.01365","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:42:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"An7iD1gmd0AH9PBosomskcTWbttRtkC8fszxmk+Hxbdyx+wmSohJefA4GvvBUhnjKWEHgE4anSdq82OT8zu1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T20:21:33.007236Z"},"content_sha256":"b0c578d8344809537e8b88847f237ebf223ae7a46043e3d1aaf0cc9a0272a9c9","schema_version":"1.0","event_id":"sha256:b0c578d8344809537e8b88847f237ebf223ae7a46043e3d1aaf0cc9a0272a9c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HSHFEFMOGZH5A63HKNN65HNN5Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Axiomatic Attribution for Deep Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ankur Taly, Mukund Sundararajan, Qiqi Yan","submitted_at":"2017-03-04T00:18:49Z","abstract_excerpt":"We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by several other works. We identify two fundamental axioms---Sensitivity and Implementation Invariance that attribution methods ought to satisfy. We show that they are not satisfied by most known attribution methods, which we consider to be a fundamental weakness of those methods. We use the axioms to guide the design of a new attribution method called Integrated Gradients. Our method requires no modification to the original network and is extremely simple to implement; it j"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01365","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:42:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"24ABesrn22wa2aZxwis3NsDiGbvPG0U3GmpjcFEgnlV+Ja0GrPMzGOhTs1+cKYCtlS3FcW7iix8U6jLyzU3GBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T20:21:33.007897Z"},"content_sha256":"c411655aa1e517108cc19b12f6be6509bc47258d3c6bb59c0c18ee9f3317c508","schema_version":"1.0","event_id":"sha256:c411655aa1e517108cc19b12f6be6509bc47258d3c6bb59c0c18ee9f3317c508"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/bundle.json","state_url":"https://pith.science/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/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":"2026-05-23T20:21:33Z","links":{"resolver":"https://pith.science/pith/HSHFEFMOGZH5A63HKNN65HNN5Z","bundle":"https://pith.science/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/bundle.json","state":"https://pith.science/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HSHFEFMOGZH5A63HKNN65HNN5Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HSHFEFMOGZH5A63HKNN65HNN5Z","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":"187bb1b5e5146949dbcd1b2b6a082989aef03343c9fe394372d289edbb61fa50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-04T00:18:49Z","title_canon_sha256":"53a3a561b877be78522b3078e8b0fa3703fc43f0f6f84db19fba631e1e76dd45"},"schema_version":"1.0","source":{"id":"1703.01365","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01365","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01365v2","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01365","created_at":"2026-05-18T00:42:29Z"},{"alias_kind":"pith_short_12","alias_value":"HSHFEFMOGZH5","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HSHFEFMOGZH5A63H","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HSHFEFMO","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:c411655aa1e517108cc19b12f6be6509bc47258d3c6bb59c0c18ee9f3317c508","target":"graph","created_at":"2026-05-18T00:42:29Z","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"},"paper":{"abstract_excerpt":"We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by several other works. We identify two fundamental axioms---Sensitivity and Implementation Invariance that attribution methods ought to satisfy. We show that they are not satisfied by most known attribution methods, which we consider to be a fundamental weakness of those methods. We use the axioms to guide the design of a new attribution method called Integrated Gradients. Our method requires no modification to the original network and is extremely simple to implement; it j","authors_text":"Ankur Taly, Mukund Sundararajan, Qiqi Yan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-04T00:18:49Z","title":"Axiomatic Attribution for Deep Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01365","kind":"arxiv","version":2},"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:b0c578d8344809537e8b88847f237ebf223ae7a46043e3d1aaf0cc9a0272a9c9","target":"record","created_at":"2026-05-18T00:42:29Z","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":"187bb1b5e5146949dbcd1b2b6a082989aef03343c9fe394372d289edbb61fa50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-04T00:18:49Z","title_canon_sha256":"53a3a561b877be78522b3078e8b0fa3703fc43f0f6f84db19fba631e1e76dd45"},"schema_version":"1.0","source":{"id":"1703.01365","kind":"arxiv","version":2}},"canonical_sha256":"3c8e52158e364fd07b67535bee9dadee617d0a80682d2541c7d50978a34aa72e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c8e52158e364fd07b67535bee9dadee617d0a80682d2541c7d50978a34aa72e","first_computed_at":"2026-05-18T00:42:29.506038Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:29.506038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2s5Uc+uIkGA/eJYsxmkxZZqzuHen60fhK5kZ3L0LVsDUo/MggVbEF3Iy+b97k3F+uZVWmkrs4fnECSL9pwToDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:29.506505Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.01365","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0c578d8344809537e8b88847f237ebf223ae7a46043e3d1aaf0cc9a0272a9c9","sha256:c411655aa1e517108cc19b12f6be6509bc47258d3c6bb59c0c18ee9f3317c508"],"state_sha256":"e806a8b9d059da0cd15c25ccf6dff17a0744e2ecaac44688496d31e354bfee5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yQGzE1mGKcLNV1AfCgcdPa8Pr1lFHT5AiAQR6w2Kb5GJqnHScpg6Ry9/kl/UTZjcH8YwSLyfOVGXDgucsk8OAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T20:21:33.010788Z","bundle_sha256":"4dd1bf7b33f6f2d5cd828faddaa77b8ebe6a23f459130c41da6fa66eb58cadf7"}}