{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MMKYD4URROJ7TA2NFKMI4PAQWM","short_pith_number":"pith:MMKYD4UR","canonical_record":{"source":{"id":"2306.02968","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-05T15:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c1f93b6198fdab0f39e53a4e5587c98f6fe7709d1eb84788615cba18fcafc9d1","abstract_canon_sha256":"97e794ee5e9edf19e7551eb3d01bf1553aa01628ed249fa804314cf23dc86c18"},"schema_version":"1.0"},"canonical_sha256":"631581f2918b93f9834d2a988e3c10b30103f4894834122373eec5b5d69e2c93","source":{"kind":"arxiv","id":"2306.02968","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02968","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02968v2","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02968","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"MMKYD4URROJ7","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_16","alias_value":"MMKYD4URROJ7TA2N","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_8","alias_value":"MMKYD4UR","created_at":"2026-07-05T06:17:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MMKYD4URROJ7TA2NFKMI4PAQWM","target":"record","payload":{"canonical_record":{"source":{"id":"2306.02968","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-05T15:31:18Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c1f93b6198fdab0f39e53a4e5587c98f6fe7709d1eb84788615cba18fcafc9d1","abstract_canon_sha256":"97e794ee5e9edf19e7551eb3d01bf1553aa01628ed249fa804314cf23dc86c18"},"schema_version":"1.0"},"canonical_sha256":"631581f2918b93f9834d2a988e3c10b30103f4894834122373eec5b5d69e2c93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:17:53.458622Z","signature_b64":"RmgKMFzji8S0HcfY7bzhvgc6AvSo/s95m+tgJeywfZrOuJ1X8uRfh/z+mtYKWv4lZVDJIcZqVRSfyLFgq5pwBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"631581f2918b93f9834d2a988e3c10b30103f4894834122373eec5b5d69e2c93","last_reissued_at":"2026-07-05T06:17:53.458136Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:17:53.458136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.02968","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":"2026-07-05T06:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xvUjDSO6TqPylfK+6ZkAX2a+H38gwDntMFSG89si1CsQmw6DjepAuLm5CtLSP3+c9L2wMHw0WH7u+H6U+R9tCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:46:30.615186Z"},"content_sha256":"271b39f32a01a12b7607c573425b60d29c86152bc19e3c49ec168cbe237601e2","schema_version":"1.0","event_id":"sha256:271b39f32a01a12b7607c573425b60d29c86152bc19e3c49ec168cbe237601e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MMKYD4URROJ7TA2NFKMI4PAQWM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Time Interpret: a Unified Model Interpretability Library for Time Series","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Joseph Enguehard","submitted_at":"2023-06-05T15:31:18Z","abstract_excerpt":"We introduce $\\texttt{time_interpret}$, a library designed as an extension of Captum, with a specific focus on temporal data. As such, this library implements several feature attribution methods that can be used to explain predictions made by any Pytorch model. $\\texttt{time_interpret}$ also provides several synthetic and real world time series datasets, various PyTorch models, as well as a set of methods to evaluate feature attributions. Moreover, while being primarily developed to explain predictions based on temporal data, some of its components have a different application, including for i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02968","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.02968/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":"2026-07-05T06:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ptq539sPCNMRVlW4uur4OohwdR/eb9pOmI8BUoQP75tJnez5ArKtFR7KOB3u6FC4tu+yN6iCXxuhTozNTqawCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:46:30.615667Z"},"content_sha256":"65f124e4ddfbc5082328ae6d62dd713f0ea7f2e2e1aa15133b7c9fc8e4567780","schema_version":"1.0","event_id":"sha256:65f124e4ddfbc5082328ae6d62dd713f0ea7f2e2e1aa15133b7c9fc8e4567780"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/bundle.json","state_url":"https://pith.science/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/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":"2026-08-10T00:46:30Z","links":{"resolver":"https://pith.science/pith/MMKYD4URROJ7TA2NFKMI4PAQWM","bundle":"https://pith.science/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/bundle.json","state":"https://pith.science/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMKYD4URROJ7TA2NFKMI4PAQWM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MMKYD4URROJ7TA2NFKMI4PAQWM","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":"97e794ee5e9edf19e7551eb3d01bf1553aa01628ed249fa804314cf23dc86c18","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-05T15:31:18Z","title_canon_sha256":"c1f93b6198fdab0f39e53a4e5587c98f6fe7709d1eb84788615cba18fcafc9d1"},"schema_version":"1.0","source":{"id":"2306.02968","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02968","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02968v2","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02968","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"MMKYD4URROJ7","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_16","alias_value":"MMKYD4URROJ7TA2N","created_at":"2026-07-05T06:17:53Z"},{"alias_kind":"pith_short_8","alias_value":"MMKYD4UR","created_at":"2026-07-05T06:17:53Z"}],"graph_snapshots":[{"event_id":"sha256:65f124e4ddfbc5082328ae6d62dd713f0ea7f2e2e1aa15133b7c9fc8e4567780","target":"graph","created_at":"2026-07-05T06:17:53Z","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/2306.02968/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce $\\texttt{time_interpret}$, a library designed as an extension of Captum, with a specific focus on temporal data. As such, this library implements several feature attribution methods that can be used to explain predictions made by any Pytorch model. $\\texttt{time_interpret}$ also provides several synthetic and real world time series datasets, various PyTorch models, as well as a set of methods to evaluate feature attributions. Moreover, while being primarily developed to explain predictions based on temporal data, some of its components have a different application, including for i","authors_text":"Joseph Enguehard","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-05T15:31:18Z","title":"Time Interpret: a Unified Model Interpretability Library for Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02968","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":"sha256:271b39f32a01a12b7607c573425b60d29c86152bc19e3c49ec168cbe237601e2","target":"record","created_at":"2026-07-05T06:17:53Z","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":"97e794ee5e9edf19e7551eb3d01bf1553aa01628ed249fa804314cf23dc86c18","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-05T15:31:18Z","title_canon_sha256":"c1f93b6198fdab0f39e53a4e5587c98f6fe7709d1eb84788615cba18fcafc9d1"},"schema_version":"1.0","source":{"id":"2306.02968","kind":"arxiv","version":2}},"canonical_sha256":"631581f2918b93f9834d2a988e3c10b30103f4894834122373eec5b5d69e2c93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"631581f2918b93f9834d2a988e3c10b30103f4894834122373eec5b5d69e2c93","first_computed_at":"2026-07-05T06:17:53.458136Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:17:53.458136Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RmgKMFzji8S0HcfY7bzhvgc6AvSo/s95m+tgJeywfZrOuJ1X8uRfh/z+mtYKWv4lZVDJIcZqVRSfyLFgq5pwBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:17:53.458622Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.02968","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:271b39f32a01a12b7607c573425b60d29c86152bc19e3c49ec168cbe237601e2","sha256:65f124e4ddfbc5082328ae6d62dd713f0ea7f2e2e1aa15133b7c9fc8e4567780"],"state_sha256":"68a6666ec2a3bbcc94341d0f5c0b7dd74ba74ae3cc6a80eca6f67cafb07d50d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/Iv7u2OvDb7yU+hOPoTTbAgs+o7dmuZBBYt71n01AZQT3WbPDb137GKuF7hqs2pBNDnvCi1aINkSQ9qDPgPAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T00:46:30.618767Z","bundle_sha256":"391fbd5b1521b309199a172ba6a379759fc4c75b9913d9074ec3859ece128686"}}