{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:NOP74RFCTCOGEBKJD57RUCART4","short_pith_number":"pith:NOP74RFC","canonical_record":{"source":{"id":"1909.09223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-19T20:22:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"135fd779be832abfd82f4643c22a02fcf54482fe6a8fb2628e8f53e0d6ec332f","abstract_canon_sha256":"541c973542cf098bef3e077d9757dfb29e7e8c4651d11a729dd24d1392154836"},"schema_version":"1.0"},"canonical_sha256":"6b9ffe44a2989c6205491f7f1a08119f14e257e8a3fe4be04e847c4feb274408","source":{"kind":"arxiv","id":"1909.09223","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.09223","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"1909.09223v1","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.09223","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"NOP74RFCTCOG","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"NOP74RFCTCOGEBKJ","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"NOP74RFC","created_at":"2026-07-05T00:05:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:NOP74RFCTCOGEBKJD57RUCART4","target":"record","payload":{"canonical_record":{"source":{"id":"1909.09223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-19T20:22:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"135fd779be832abfd82f4643c22a02fcf54482fe6a8fb2628e8f53e0d6ec332f","abstract_canon_sha256":"541c973542cf098bef3e077d9757dfb29e7e8c4651d11a729dd24d1392154836"},"schema_version":"1.0"},"canonical_sha256":"6b9ffe44a2989c6205491f7f1a08119f14e257e8a3fe4be04e847c4feb274408","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:05:56.511527Z","signature_b64":"g+JMB1Jm6weYjYQvSR//zdP9ZlThphUBD9pW5BarMMu9G1rMy7OzNgnZ+DPC1VZlJ5gnZWF8yKUxKYHXhyxdCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b9ffe44a2989c6205491f7f1a08119f14e257e8a3fe4be04e847c4feb274408","last_reissued_at":"2026-07-05T00:05:56.511076Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:05:56.511076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.09223","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":"2026-07-05T00:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9N2InzjTsGTeWcUlFxYNtcHz+P5xxPP1+SnHB3R5WXud8zBbwTCJM+fwo5YldWMxoSRmXwYcgc8OrP+mGXB9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:56:41.928966Z"},"content_sha256":"dfe5a7b9577451e5bee5454149f188a6c72762719969e27ac16c2b090ed86e94","schema_version":"1.0","event_id":"sha256:dfe5a7b9577451e5bee5454149f188a6c72762719969e27ac16c2b090ed86e94"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:NOP74RFCTCOGEBKJD57RUCART4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InterpretML: A Unified Framework for Machine Learning Interpretability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Harsha Nori, Paul Koch, Rich Caruana, Samuel Jenkins","submitted_at":"2019-09-19T20:22:32Z","abstract_excerpt":"InterpretML is an open-source Python package which exposes machine learning interpretability algorithms to practitioners and researchers. InterpretML exposes two types of interpretability - glassbox models, which are machine learning models designed for interpretability (ex: linear models, rule lists, generalized additive models), and blackbox explainability techniques for explaining existing systems (ex: Partial Dependence, LIME). The package enables practitioners to easily compare interpretability algorithms by exposing multiple methods under a unified API, and by having a built-in, extensib"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.09223","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/1909.09223/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":"2026-07-05T00:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U4fl3NFs7A5oc+FqM99h9gxw5G3A3RofH5Xio+rnVfRpD+iDTPMsvhpJSnFZp3ZsH2hD8Jz1DYI0j25gy20BAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:56:41.929476Z"},"content_sha256":"553905dcaf75e21dc561d0a7eff068bc226a283539513ebaaa076801bc71fae3","schema_version":"1.0","event_id":"sha256:553905dcaf75e21dc561d0a7eff068bc226a283539513ebaaa076801bc71fae3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NOP74RFCTCOGEBKJD57RUCART4/bundle.json","state_url":"https://pith.science/pith/NOP74RFCTCOGEBKJD57RUCART4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NOP74RFCTCOGEBKJD57RUCART4/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":"2026-08-08T00:56:41Z","links":{"resolver":"https://pith.science/pith/NOP74RFCTCOGEBKJD57RUCART4","bundle":"https://pith.science/pith/NOP74RFCTCOGEBKJD57RUCART4/bundle.json","state":"https://pith.science/pith/NOP74RFCTCOGEBKJD57RUCART4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NOP74RFCTCOGEBKJD57RUCART4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:NOP74RFCTCOGEBKJD57RUCART4","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":"541c973542cf098bef3e077d9757dfb29e7e8c4651d11a729dd24d1392154836","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-19T20:22:32Z","title_canon_sha256":"135fd779be832abfd82f4643c22a02fcf54482fe6a8fb2628e8f53e0d6ec332f"},"schema_version":"1.0","source":{"id":"1909.09223","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.09223","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"1909.09223v1","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.09223","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"NOP74RFCTCOG","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"NOP74RFCTCOGEBKJ","created_at":"2026-07-05T00:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"NOP74RFC","created_at":"2026-07-05T00:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:553905dcaf75e21dc561d0a7eff068bc226a283539513ebaaa076801bc71fae3","target":"graph","created_at":"2026-07-05T00:05:56Z","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/1909.09223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"InterpretML is an open-source Python package which exposes machine learning interpretability algorithms to practitioners and researchers. InterpretML exposes two types of interpretability - glassbox models, which are machine learning models designed for interpretability (ex: linear models, rule lists, generalized additive models), and blackbox explainability techniques for explaining existing systems (ex: Partial Dependence, LIME). The package enables practitioners to easily compare interpretability algorithms by exposing multiple methods under a unified API, and by having a built-in, extensib","authors_text":"Harsha Nori, Paul Koch, Rich Caruana, Samuel Jenkins","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-19T20:22:32Z","title":"InterpretML: A Unified Framework for Machine Learning Interpretability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.09223","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:dfe5a7b9577451e5bee5454149f188a6c72762719969e27ac16c2b090ed86e94","target":"record","created_at":"2026-07-05T00:05:56Z","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":"541c973542cf098bef3e077d9757dfb29e7e8c4651d11a729dd24d1392154836","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-09-19T20:22:32Z","title_canon_sha256":"135fd779be832abfd82f4643c22a02fcf54482fe6a8fb2628e8f53e0d6ec332f"},"schema_version":"1.0","source":{"id":"1909.09223","kind":"arxiv","version":1}},"canonical_sha256":"6b9ffe44a2989c6205491f7f1a08119f14e257e8a3fe4be04e847c4feb274408","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b9ffe44a2989c6205491f7f1a08119f14e257e8a3fe4be04e847c4feb274408","first_computed_at":"2026-07-05T00:05:56.511076Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:05:56.511076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g+JMB1Jm6weYjYQvSR//zdP9ZlThphUBD9pW5BarMMu9G1rMy7OzNgnZ+DPC1VZlJ5gnZWF8yKUxKYHXhyxdCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:05:56.511527Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.09223","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfe5a7b9577451e5bee5454149f188a6c72762719969e27ac16c2b090ed86e94","sha256:553905dcaf75e21dc561d0a7eff068bc226a283539513ebaaa076801bc71fae3"],"state_sha256":"6b964f00cd5e70edc65868aaf021cce4f42ac3721bd85edcabe5c4f4d601088e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0NYmbPGrDFuEHzB71v16KoixS+uX4STzqMNAggCz4rk6DHVUB0sKqSCUnZkdyvX4XAsSBTo5AQCARZzqHboCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T00:56:41.933497Z","bundle_sha256":"c4f1c89d7028e7be87e9fadd21de084238a5e246954054702814afb04374f8ed"}}