{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DQQEZCQ3KCFPRF6FR3BA4B3PNB","short_pith_number":"pith:DQQEZCQ3","canonical_record":{"source":{"id":"2309.01457","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-04T09:08:22Z","cross_cats_sorted":[],"title_canon_sha256":"a860a437fd16639d2b6f8b152d4c140c6f97c5fc1f453ef88cd81fed64912cef","abstract_canon_sha256":"afddfc93a388732a186eec65ce0906a2a5cf84b6d3bcb82b8213f461c2c47000"},"schema_version":"1.0"},"canonical_sha256":"1c204c8a1b508af897c58ec20e076f68666521b589003745ab797f98fa5ce2c2","source":{"kind":"arxiv","id":"2309.01457","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01457","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01457v1","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01457","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_12","alias_value":"DQQEZCQ3KCFP","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_16","alias_value":"DQQEZCQ3KCFPRF6F","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_8","alias_value":"DQQEZCQ3","created_at":"2026-07-05T06:47:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DQQEZCQ3KCFPRF6FR3BA4B3PNB","target":"record","payload":{"canonical_record":{"source":{"id":"2309.01457","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-04T09:08:22Z","cross_cats_sorted":[],"title_canon_sha256":"a860a437fd16639d2b6f8b152d4c140c6f97c5fc1f453ef88cd81fed64912cef","abstract_canon_sha256":"afddfc93a388732a186eec65ce0906a2a5cf84b6d3bcb82b8213f461c2c47000"},"schema_version":"1.0"},"canonical_sha256":"1c204c8a1b508af897c58ec20e076f68666521b589003745ab797f98fa5ce2c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:38.180784Z","signature_b64":"U7KcPzygMMTSCM72kx6GqK7gaJchm/CHfjpe6NX8kAcMgTRmcUYPgvAGAtFamzxp7xEMJ19zR2Jj9ldQ2veWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c204c8a1b508af897c58ec20e076f68666521b589003745ab797f98fa5ce2c2","last_reissued_at":"2026-07-05T06:47:38.180351Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:38.180351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.01457","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":"2026-07-05T06:47:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NUP/S+BYMMjSMc2m5rB1/FIXIAEWsYfPl4eaKONt9QB4qDicBs75xL5e8NWk7Wmk18vvY0mkLfT6kyIYgDa5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:15:22.921654Z"},"content_sha256":"c7c431eb2a74857725807087308f6414df1d4455af1f1c514b262281933112c3","schema_version":"1.0","event_id":"sha256:c7c431eb2a74857725807087308f6414df1d4455af1f1c514b262281933112c3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DQQEZCQ3KCFPRF6FR3BA4B3PNB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Consistency and Robustness of Saliency Explanations for Time Series Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bin Li, Chiara Balestra, Emmanuel M\\\"uller","submitted_at":"2023-09-04T09:08:22Z","abstract_excerpt":"Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is the traitor to developing intrinsic and model-agnostic interpretation methods. Although model explanation approaches have achieved significant success in vision and natural language domains, explaining time series remains challenging. The complex pattern in the feature domain, coupled with the additional temporal dimension, hinders efficient interpretation. Saliency maps have been applied to interpret time series wind"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01457","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/2309.01457/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":"2026-07-05T06:47:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mpjs3lW+6GITGFKwfWRLgWybr+89pg+4OU40MdmxuTXm9byVIZzzeW0D0QabJ3MiqWvVr2yXuPvO+AOMD+g7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T13:15:22.922035Z"},"content_sha256":"96afcf39b31b3a6894b997a5b4692da527f78440045a2e6ad263f26a1bcecdcd","schema_version":"1.0","event_id":"sha256:96afcf39b31b3a6894b997a5b4692da527f78440045a2e6ad263f26a1bcecdcd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/bundle.json","state_url":"https://pith.science/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/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":"2026-07-05T13:15:22Z","links":{"resolver":"https://pith.science/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB","bundle":"https://pith.science/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/bundle.json","state":"https://pith.science/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQQEZCQ3KCFPRF6FR3BA4B3PNB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DQQEZCQ3KCFPRF6FR3BA4B3PNB","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":"afddfc93a388732a186eec65ce0906a2a5cf84b6d3bcb82b8213f461c2c47000","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-04T09:08:22Z","title_canon_sha256":"a860a437fd16639d2b6f8b152d4c140c6f97c5fc1f453ef88cd81fed64912cef"},"schema_version":"1.0","source":{"id":"2309.01457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01457","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01457v1","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01457","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_12","alias_value":"DQQEZCQ3KCFP","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_16","alias_value":"DQQEZCQ3KCFPRF6F","created_at":"2026-07-05T06:47:38Z"},{"alias_kind":"pith_short_8","alias_value":"DQQEZCQ3","created_at":"2026-07-05T06:47:38Z"}],"graph_snapshots":[{"event_id":"sha256:96afcf39b31b3a6894b997a5b4692da527f78440045a2e6ad263f26a1bcecdcd","target":"graph","created_at":"2026-07-05T06:47:38Z","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/2309.01457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is the traitor to developing intrinsic and model-agnostic interpretation methods. Although model explanation approaches have achieved significant success in vision and natural language domains, explaining time series remains challenging. The complex pattern in the feature domain, coupled with the additional temporal dimension, hinders efficient interpretation. Saliency maps have been applied to interpret time series wind","authors_text":"Bin Li, Chiara Balestra, Emmanuel M\\\"uller","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-04T09:08:22Z","title":"On the Consistency and Robustness of Saliency Explanations for Time Series Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01457","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:c7c431eb2a74857725807087308f6414df1d4455af1f1c514b262281933112c3","target":"record","created_at":"2026-07-05T06:47:38Z","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":"afddfc93a388732a186eec65ce0906a2a5cf84b6d3bcb82b8213f461c2c47000","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-04T09:08:22Z","title_canon_sha256":"a860a437fd16639d2b6f8b152d4c140c6f97c5fc1f453ef88cd81fed64912cef"},"schema_version":"1.0","source":{"id":"2309.01457","kind":"arxiv","version":1}},"canonical_sha256":"1c204c8a1b508af897c58ec20e076f68666521b589003745ab797f98fa5ce2c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c204c8a1b508af897c58ec20e076f68666521b589003745ab797f98fa5ce2c2","first_computed_at":"2026-07-05T06:47:38.180351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:38.180351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U7KcPzygMMTSCM72kx6GqK7gaJchm/CHfjpe6NX8kAcMgTRmcUYPgvAGAtFamzxp7xEMJ19zR2Jj9ldQ2veWAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:38.180784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7c431eb2a74857725807087308f6414df1d4455af1f1c514b262281933112c3","sha256:96afcf39b31b3a6894b997a5b4692da527f78440045a2e6ad263f26a1bcecdcd"],"state_sha256":"90383a422531dc5169a81b39a43493d827a3a3030d2606000b41ff3672eafc3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mCHV4Akv36ygmjJUhonmEE2+KulFC2NydOEOi/A6UdUpemns89APAHN4WvtWR80pk3Nc0JuAon/uPymVqYBnDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T13:15:22.924095Z","bundle_sha256":"beef88f823ff10a0272e5f99532f9df15994e748d11283ea7a67b39f2f049920"}}