{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XHTZS34PWGAPSHHDQ3GDCK6EFS","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":"3a2fd8f90a1bf8cdf1e65dff437b7a8a6175183e5663654f5e3b6f350399785b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-30T19:48:57Z","title_canon_sha256":"1f6a8c46df6f0dbad8845ee1d8e665230ca2e32d4ca33243b94cabb3e947c767"},"schema_version":"1.0","source":{"id":"2012.00073","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.00073","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2012.00073v2","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.00073","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"XHTZS34PWGAP","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"XHTZS34PWGAPSHHD","created_at":"2026-07-05T02:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"XHTZS34P","created_at":"2026-07-05T02:52:27Z"}],"graph_snapshots":[{"event_id":"sha256:989bdca17dd4c1540363c93ef359faff3e0b44bf7fe1944d415ed307b5ab42a1","target":"graph","created_at":"2026-07-05T02:52:27Z","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/2012.00073/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although recurrent neural networks (RNNs) are state-of-the-art in numerous sequential decision-making tasks, there has been little research on explaining their predictions. In this work, we present TimeSHAP, a model-agnostic recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes feature-, timestep-, and cell-level attributions. As sequences may be arbitrarily long, we further propose a pruning method that is shown to dramatically decrease both its computational cost and the variance of its attributions. We use TimeSHAP to explain the predicti","authors_text":"Andr\\'e F. Cruz, Jo\\~ao Bento, M\\'ario A.T. Figueiredo, Pedro Bizarro, Pedro Saleiro","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-30T19:48:57Z","title":"TimeSHAP: Explaining Recurrent Models through Sequence Perturbations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.00073","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:b3838420273d0d9c07320fee0e4b1ea4d3e9ba8053006ebbdbdf666898484c25","target":"record","created_at":"2026-07-05T02:52:27Z","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":"3a2fd8f90a1bf8cdf1e65dff437b7a8a6175183e5663654f5e3b6f350399785b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-11-30T19:48:57Z","title_canon_sha256":"1f6a8c46df6f0dbad8845ee1d8e665230ca2e32d4ca33243b94cabb3e947c767"},"schema_version":"1.0","source":{"id":"2012.00073","kind":"arxiv","version":2}},"canonical_sha256":"b9e7996f8fb180f91ce386cc312bc42c8a702624f236e4bf0dc4a1ccd8143689","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9e7996f8fb180f91ce386cc312bc42c8a702624f236e4bf0dc4a1ccd8143689","first_computed_at":"2026-07-05T02:52:27.490878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:52:27.490878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p5NKjQ4IdTfObxWkNUADDC+AdoEP6Whyb6I6DhmXlM+DrFP+4eWVE/YP7NPBaaWF27X49hYrDo+5mpMt0rxdDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:52:27.491304Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.00073","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3838420273d0d9c07320fee0e4b1ea4d3e9ba8053006ebbdbdf666898484c25","sha256:989bdca17dd4c1540363c93ef359faff3e0b44bf7fe1944d415ed307b5ab42a1"],"state_sha256":"d3091f8e1fb3d138b65523eab5d2cc190800c5f3800a34e31e95eb63f354f27a"}