{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MKJJNU27PS7KOIQIPUA53YZLR5","short_pith_number":"pith:MKJJNU27","canonical_record":{"source":{"id":"2305.14582","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-23T23:43:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c541ed5e4cbb9a038c434952370858e8d26ca47853ba69fae88343798a2f80c0","abstract_canon_sha256":"f83c5b024b43d1f9d144a7c42ae14a009656a60519bf6f19587cea0dd0afe2bb"},"schema_version":"1.0"},"canonical_sha256":"629296d35f7cbea722087d01dde32b8f55b366a2e15514bf0866b7d04187a771","source":{"kind":"arxiv","id":"2305.14582","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14582","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14582v1","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14582","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_12","alias_value":"MKJJNU27PS7K","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_16","alias_value":"MKJJNU27PS7KOIQI","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_8","alias_value":"MKJJNU27","created_at":"2026-07-05T06:13:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MKJJNU27PS7KOIQIPUA53YZLR5","target":"record","payload":{"canonical_record":{"source":{"id":"2305.14582","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-23T23:43:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c541ed5e4cbb9a038c434952370858e8d26ca47853ba69fae88343798a2f80c0","abstract_canon_sha256":"f83c5b024b43d1f9d144a7c42ae14a009656a60519bf6f19587cea0dd0afe2bb"},"schema_version":"1.0"},"canonical_sha256":"629296d35f7cbea722087d01dde32b8f55b366a2e15514bf0866b7d04187a771","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:13:25.268901Z","signature_b64":"fGs+K/lnkogCEeRlciSKXW68Zf+zb/MjMmwM/OnrlA0/jFxlZYUKMS3kwVP1VhmcWzD+R8NE3El59D9LmqqICw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"629296d35f7cbea722087d01dde32b8f55b366a2e15514bf0866b7d04187a771","last_reissued_at":"2026-07-05T06:13:25.268465Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:13:25.268465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.14582","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":"2026-07-05T06:13:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d25ltVSG8MZMLSUSqINTHLLnAw0Tu63HsIaHtlW1aM9tYh21gopJclrOHhSh1qSF8RO1kjFvMYQkLMYs4voiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:29:24.768813Z"},"content_sha256":"2abb7f68d7a5fdcbcd647d232668a5a955e810fb5a6faf391e1ecc411ad185a7","schema_version":"1.0","event_id":"sha256:2abb7f68d7a5fdcbcd647d232668a5a955e810fb5a6faf391e1ecc411ad185a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MKJJNU27PS7KOIQIPUA53YZLR5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpretation of Time-Series Deep Models: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Fan Yang, Ninghao Liu, Shushan Wu, Wenzhan Song, Yucheng Shi, Ziqi Zhao","submitted_at":"2023-05-23T23:43:26Z","abstract_excerpt":"Deep learning models developed for time-series associated tasks have become more widely researched nowadays. However, due to the unintuitive nature of time-series data, the interpretability problem -- where we understand what is under the hood of these models -- becomes crucial. The advancement of similar studies in computer vision has given rise to many post-hoc methods, which can also shed light on how to explain time-series models. In this paper, we present a wide range of post-hoc interpretation methods for time-series models based on backpropagation, perturbation, and approximation. We al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14582","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/2305.14582/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":"2026-07-05T06:13:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uYBT87jx/s9EQUc59oLTZXN5lvZLxBMWHj6xA6QxP8w7SWczWuJM4WvnZZdw+5qrVICvPi4JWAdZyUFYQFSQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T10:29:24.769329Z"},"content_sha256":"570669de3a403851408afce47e448c2397d650a6a6b6c02048544289504d31eb","schema_version":"1.0","event_id":"sha256:570669de3a403851408afce47e448c2397d650a6a6b6c02048544289504d31eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MKJJNU27PS7KOIQIPUA53YZLR5/bundle.json","state_url":"https://pith.science/pith/MKJJNU27PS7KOIQIPUA53YZLR5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MKJJNU27PS7KOIQIPUA53YZLR5/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":"2026-08-09T10:29:24Z","links":{"resolver":"https://pith.science/pith/MKJJNU27PS7KOIQIPUA53YZLR5","bundle":"https://pith.science/pith/MKJJNU27PS7KOIQIPUA53YZLR5/bundle.json","state":"https://pith.science/pith/MKJJNU27PS7KOIQIPUA53YZLR5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MKJJNU27PS7KOIQIPUA53YZLR5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MKJJNU27PS7KOIQIPUA53YZLR5","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":"f83c5b024b43d1f9d144a7c42ae14a009656a60519bf6f19587cea0dd0afe2bb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-23T23:43:26Z","title_canon_sha256":"c541ed5e4cbb9a038c434952370858e8d26ca47853ba69fae88343798a2f80c0"},"schema_version":"1.0","source":{"id":"2305.14582","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14582","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14582v1","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14582","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_12","alias_value":"MKJJNU27PS7K","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_16","alias_value":"MKJJNU27PS7KOIQI","created_at":"2026-07-05T06:13:25Z"},{"alias_kind":"pith_short_8","alias_value":"MKJJNU27","created_at":"2026-07-05T06:13:25Z"}],"graph_snapshots":[{"event_id":"sha256:570669de3a403851408afce47e448c2397d650a6a6b6c02048544289504d31eb","target":"graph","created_at":"2026-07-05T06:13:25Z","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/2305.14582/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models developed for time-series associated tasks have become more widely researched nowadays. However, due to the unintuitive nature of time-series data, the interpretability problem -- where we understand what is under the hood of these models -- becomes crucial. The advancement of similar studies in computer vision has given rise to many post-hoc methods, which can also shed light on how to explain time-series models. In this paper, we present a wide range of post-hoc interpretation methods for time-series models based on backpropagation, perturbation, and approximation. We al","authors_text":"Fan Yang, Ninghao Liu, Shushan Wu, Wenzhan Song, Yucheng Shi, Ziqi Zhao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-23T23:43:26Z","title":"Interpretation of Time-Series Deep Models: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14582","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":"sha256:2abb7f68d7a5fdcbcd647d232668a5a955e810fb5a6faf391e1ecc411ad185a7","target":"record","created_at":"2026-07-05T06:13:25Z","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":"f83c5b024b43d1f9d144a7c42ae14a009656a60519bf6f19587cea0dd0afe2bb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-23T23:43:26Z","title_canon_sha256":"c541ed5e4cbb9a038c434952370858e8d26ca47853ba69fae88343798a2f80c0"},"schema_version":"1.0","source":{"id":"2305.14582","kind":"arxiv","version":1}},"canonical_sha256":"629296d35f7cbea722087d01dde32b8f55b366a2e15514bf0866b7d04187a771","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"629296d35f7cbea722087d01dde32b8f55b366a2e15514bf0866b7d04187a771","first_computed_at":"2026-07-05T06:13:25.268465Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:13:25.268465Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fGs+K/lnkogCEeRlciSKXW68Zf+zb/MjMmwM/OnrlA0/jFxlZYUKMS3kwVP1VhmcWzD+R8NE3El59D9LmqqICw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:13:25.268901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.14582","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2abb7f68d7a5fdcbcd647d232668a5a955e810fb5a6faf391e1ecc411ad185a7","sha256:570669de3a403851408afce47e448c2397d650a6a6b6c02048544289504d31eb"],"state_sha256":"a9b0d46407724665c06058046b77034eae011207386800690c265ce35abd6067"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+2dYXC8PqPR1jAvO9BbUvjufNyThFvYv85Czhh32oHhH7VZ0e471t2rtzUy6nxYfoHbDLHiKanHV4u2Uqc6DAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T10:29:24.773827Z","bundle_sha256":"e00106b7f65255b49fd1b9d5dc1f724a49b356c655f917e0708ef556d41e80be"}}