{"as_of":"2026-08-09T11:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3896ec01848718d216fc4133170b356ec3f0bb26d83b177b234e44c8b0bb7c2d","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:20:53.418351Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2602.02763/citation-record","integrity":"/paper/2602.02763/integrity","json":"/paper/2602.02763/citation-record.json","paper":"/paper/2602.02763"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.329357Z","title":"Ground-truth explanations correspond to the low-variance subsequences on the appropriate sensor","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.329357Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:74fd8eb7997061c260fbd72191fd7d49bcbca86cd660c06b6438741c5545d4f7","observation_id":"c5a82e55-0db6-48bf-9855-1d54b357b638","resolution":{"observed_at":"2026-08-03T05:20:53.329357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.00711","last_updated":"2020-10-01T22:33:21Z","snapshot_observed_at":"2026-08-06T21:03:51.198097Z","submitted_at":"2020-10-01T22:33:21Z","title":"A Survey of the State of Explainable AI for Natural Language Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.00711","snapshot_observed_at":"2026-08-03T05:20:50.854704Z","title":"A survey of the state of explain- able ai for natural language processing.arXiv preprint arXiv:2010.00711,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:50.854704Z"},"links":{"cited_paper":"/paper/2010.00711","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:8d23989550b030d8f6e05716552fc4492b9c57b99345b9f1348e6aafbcec1e60","observation_id":"3229875d-1471-4b77-b0b0-8cf8cc1597f3","resolution":{"observed_at":"2026-08-03T05:20:50.854704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0906.4835","last_updated":"2009-06-26T03:32:32Z","snapshot_observed_at":"2026-07-06T01:55:47.646403Z","submitted_at":"2009-06-26T03:32:32Z","title":"The Complex Gradient Operator and the CR-Calculus","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0906.4835","snapshot_observed_at":"2026-08-03T05:20:51.831523Z","title":"The complex gradient operator and the cr-calculus.arXiv preprint arXiv:0906.4835,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.831523Z"},"links":{"cited_paper":"/paper/0906.4835","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:394cfe85d69da8e8e3c6d5585a895da4de2af7db7d7a7cda059308bd7cb9ea3b","observation_id":"fd8833da-7df6-43a7-b4fb-e0184cb509d3","resolution":{"observed_at":"2026-08-03T05:20:51.831523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03193","last_updated":"2024-06-05T12:23:02Z","snapshot_observed_at":"2026-08-09T06:59:39.577449Z","submitted_at":"2024-06-05T12:23:02Z","title":"Graph Neural Network Explanations are Fragile","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03193","snapshot_observed_at":"2026-08-03T05:20:52.106309Z","title":"K., Rooke, C., Smith, J., Zuberi, S., and V olkovs, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.106309Z"},"links":{"cited_paper":"/paper/2406.03193","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:224ae77e1724aa833cb6e4289c6fed9daa2ea94be71e5494f76038a31b201254","observation_id":"82ff4581-54c4-4c7f-9553-aee91be94ce6","resolution":{"observed_at":"2026-08-03T05:20:52.106309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06625","last_updated":"2024-03-14T11:45:57Z","snapshot_observed_at":"2026-07-06T16:30:29.783501Z","submitted_at":"2023-10-10T13:44:09Z","title":"iTransformer: Inverted Transformers Are Effective for Time Series Forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06625","snapshot_observed_at":"2026-08-03T05:20:52.258255Z","title":"N., Hasson, H., and Huan, L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.258255Z"},"links":{"cited_paper":"/paper/2310.06625","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:494e860f89ace93044379eea014cca605aaab86ecc45fd889deb78ba78f5ac61","observation_id":"e1a64ef5-71d1-4254-a70e-5e62de897383","resolution":{"observed_at":"2026-08-03T05:20:52.258255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:52.592269Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.592269Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:ba1ae1528b49670e74672b26544d75123840fc2f7fa0d14e07ef525d855fffa9","observation_id":"0c5316ba-1ccb-4eaf-8353-92ec67a5fd05","resolution":{"observed_at":"2026-08-03T05:20:52.592269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:52.751486Z","title":"B., Gudelek, M","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.751486Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:5ef457225879965f27cef063f32e2096964a6ace3632df2be8ef5a62003f695e","observation_id":"f3b07ee1-fac3-4810-82a4-fb22889bd715","resolution":{"observed_at":"2026-08-03T05:20:52.751486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.08009","last_updated":"2021-08-18T07:26:19Z","snapshot_observed_at":"2026-08-03T21:19:31.547001Z","submitted_at":"2021-08-18T07:26:19Z","title":"XAI Methods for Neural Time Series Classification: A Brief Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.08009","snapshot_observed_at":"2026-08-03T05:20:52.777341Z","title":"Xai methods for neural time series classification: A brief review.arXiv preprint arXiv:2108.08009,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.777341Z"},"links":{"cited_paper":"/paper/2108.08009","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:e63d278b968d4b556ec532e492b8f99131909bb7792d8884d6012cbce91e14aa","observation_id":"92f3b21b-8bc7-4528-90cf-89b8392a93dc","resolution":{"observed_at":"2026-08-03T05:20:52.777341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6199","last_updated":"2014-02-19T16:33:14Z","snapshot_observed_at":"2026-07-06T03:31:33.797310Z","submitted_at":"2013-12-21T03:36:08Z","title":"Intriguing properties of neural networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6199","snapshot_observed_at":"2026-08-03T05:20:52.881041Z","title":"Intriguing properties of neural networks.arXiv preprint arXiv:1312.6199,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.881041Z"},"links":{"cited_paper":"/paper/1312.6199","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:193838dd7c611313a26c0c774c45d002279d9c1a67742560eeeba187a0579522","observation_id":"84e03d85-fea3-4b3a-a460-3be6bc57eca5","resolution":{"observed_at":"2026-08-03T05:20:52.881041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.01100","last_updated":"2023-06-01T19:23:38Z","snapshot_observed_at":"2026-08-08T14:14:44.795045Z","submitted_at":"2023-06-01T19:23:38Z","title":"ALO-VC: Any-to-any Low-latency One-shot Voice Conversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.01100","snapshot_observed_at":"2026-08-03T05:20:53.020882Z","title":"Alo-vc: Any-to-any low-latency one-shot voice conversion.arXiv preprint arXiv:2306.01100,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.020882Z"},"links":{"cited_paper":"/paper/2306.01100","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:7acf2499de7427117ced373b4a36a996d2c9cf84e396d050eac1c74288252010","observation_id":"f3912f63-8f14-47e8-9a2c-8707094fa8fe","resolution":{"observed_at":"2026-08-03T05:20:53.020882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.127794Z","title":"Related Work Details This appendix complements the concise Related Work in the main paper by providing additional context and representative references","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.127794Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:fa7930b8d5b325f055e960abb20e2e2793a274272ea136cb52dc6ae76d0901fb","observation_id":"0594c32e-64fe-4dca-9d11-77573c64de28","resolution":{"observed_at":"2026-08-03T05:20:53.127794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.188370Z","title":"The increasing deployment of deep models in high-stakes applications has made human-understandable explanations a key requirement for trustworthy decision making","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.188370Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:3da21b8086ca81bee99327d6ed54d29666798a5bb4f67e2de29510cd469c4d9d","observation_id":"cafdca7a-b7f2-4937-817e-645454f8b152","resolution":{"observed_at":"2026-08-03T05:20:53.188370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.222224Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.222224Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:a0011efb9c062f05acc456d6241c7ede5d1363ac91017e83aa7b888d704763b4","observation_id":"445b90dc-394a-4a52-9a9f-5128894f09be","resolution":{"observed_at":"2026-08-03T05:20:53.222224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.237678Z","title":"Explainer robustness in other domains.Compared to time series, explainer robustness has been more extensively studied in vision and NLP","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.237678Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:d7ad38a720209cd1ec43c4cf7e348fb897cc321f69ebefd0f467d16a122d1f2b","observation_id":"7c818c9d-c09f-4f2f-8d6a-666523aaa0fe","resolution":{"observed_at":"2026-08-03T05:20:53.237678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.249025Z","title":"vulnerable","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.249025Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:f14404319d374fc53c88d9f165bc67ca902fa1e64d50ab23f2ff4e8b94e56be9","observation_id":"395a0b7e-f094-4bb4-9a92-e75a6b6e6ad8","resolution":{"observed_at":"2026-08-03T05:20:53.249025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.315478Z","title":"Sinceα freq >0and(1−tanh 2)>0, the partial derivative ∂Mf ∂Θf is a strictly positive scalar","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.315478Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:8d0a36a5f4de4addc20754dd2671fbff13d2bb2a080e2263d3ad02a8e18cbae8","observation_id":"d4cb0749-d8fd-4194-9381-212d8a0a242b","resolution":{"observed_at":"2026-08-03T05:20:53.315478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.397337Z","title":"It contains continuous recordings of daily activities from 9 subjects measured by multiple sensors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.397337Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:3a9058baca8089b9a16371aa5f9e31a459e1088476efcf4fbb28ce1dbea77677","observation_id":"858f7f19-c27d-4a59-8522-e1303f15d5c6","resolution":{"observed_at":"2026-08-03T05:20:53.397337Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.418351Z","title":"For a fair comparison, we use the same time-series explanation- alignment loss (i.e., the same target definition and distance metric) as in TSEF","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.418351Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:c9095a25c84540964aeb8e1a4f479b2a1fe57bb562da001a73c3996b70db08ac","observation_id":"0374a66c-11ae-4724-98fd-30303b6bdbbf","resolution":{"observed_at":"2026-08-03T05:20:53.418351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:53.374385Z","title":"non-seizure","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:53.374385Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:43d0bd2b1843b7a9c649523a179d53bad3a704357a3d8dff37a15d0ea94843bc","observation_id":"9b9d3e3d-12db-4bb6-8b6b-43b6a8ef57ca","resolution":{"observed_at":"2026-08-03T05:20:53.374385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:51.957493Z","title":"Crafting papers on machine learning","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.957493Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:629a6ded9807de37c1a3f8da6da6025978f83d86165a1f88832f1ae991a0de50","observation_id":"553a71a3-689c-4cc8-b81e-2ce88d2c665f","resolution":{"observed_at":"2026-08-03T05:20:51.957493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00950","last_updated":"2021-04-02T09:14:00Z","snapshot_observed_at":"2026-07-06T10:56:01.047350Z","submitted_at":"2021-04-02T09:14:00Z","title":"Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.00950","snapshot_observed_at":"2026-08-03T05:20:52.684386Z","title":"Explainable artificial intelli- gence (xai) on timeseries data: A survey.arXiv preprint arXiv:2104.00950,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.684386Z"},"links":{"cited_paper":"/paper/2104.00950","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:771d47241d52dd0b55ef9d644aa34414dcb3e5db625abd289869fd9a988b3e05","observation_id":"88dfcbcf-fee1-44ad-85ed-2d5f60c68fbe","resolution":{"observed_at":"2026-08-03T05:20:52.684386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.11544","last_updated":"2023-01-27T06:09:42Z","snapshot_observed_at":"2026-08-06T22:58:58.340578Z","submitted_at":"2023-01-27T06:09:42Z","title":"Targeted Attacks on Timeseries Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.11544","snapshot_observed_at":"2026-08-03T05:20:51.221537Z","title":"Targeted attacks on timeseries forecasting.arXiv preprint arXiv:2301.11544,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.221537Z"},"links":{"cited_paper":"/paper/2301.11544","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:87648567084026b7d1d8e31658c49fe6ae84d7b25792f56cfb97cbc5e1fce386","observation_id":"27e0862e-9262-49ff-9fae-2110ebf3a2e0","resolution":{"observed_at":"2026-08-03T05:20:51.221537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06083","last_updated":"2019-09-04T18:53:10Z","snapshot_observed_at":"2026-08-07T14:27:46.872660Z","submitted_at":"2017-06-19T17:53:11Z","title":"Towards Deep Learning Models Resistant to Adversarial Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.06083","snapshot_observed_at":"2026-08-03T05:20:52.477013Z","title":"Towards deep learning models resistant to adversarial attacks.arXiv preprint arXiv:1706.06083,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.477013Z"},"links":{"cited_paper":"/paper/1706.06083","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:e482b2f1c429567146185046cce1d12ef964f9fdcff01f458a38355cabd5d006","observation_id":"f54e8d4d-62c8-4c99-bc0e-32b688cc3ae4","resolution":{"observed_at":"2026-08-03T05:20:52.477013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.00712","last_updated":"2017-03-05T16:59:44Z","snapshot_observed_at":"2026-08-05T03:48:52.905768Z","submitted_at":"2016-11-02T18:25:40Z","title":"The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.00712","snapshot_observed_at":"2026-08-03T05:20:52.370750Z","title":"J., Mnih, A., and Teh, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:52.370750Z"},"links":{"cited_paper":"/paper/1611.00712","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:8623c9c6a4eadfe6f7e1cb7d2505a3b12b0575fc15a9d75548269d6483012703","observation_id":"364cb680-e24d-49e4-9ded-6d807911841a","resolution":{"observed_at":"2026-08-03T05:20:52.370750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:20:51.566901Z","title":"Shapex: Shapelet-driven post hoc explanations for time series classification models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.566901Z"},"links":{"citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:ffe4f9744972ac1680237f4b257a553f58cc5da5c88e9d24c83438c4fa32fca4","observation_id":"7bf65a0a-6d18-458f-9d83-3fbf0ee6f416","resolution":{"observed_at":"2026-08-03T05:20:51.566901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00069","last_updated":"2018-09-28T20:09:04Z","snapshot_observed_at":"2026-07-06T07:04:59.871975Z","submitted_at":"2018-09-28T20:09:04Z","title":"Adversarial Attacks and Defences: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.00069","snapshot_observed_at":"2026-08-03T05:20:50.746224Z","title":"Adversarial attacks and defences: A survey.arXiv preprint arXiv:1810.00069,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:50.746224Z"},"links":{"cited_paper":"/paper/1810.00069","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:7f80b3b45e4217f05a2dd34b8d056093dd5ef9b562998bbf552617900856b58a","observation_id":"a356b658-62ce-49ee-b2b6-63b678f87299","resolution":{"observed_at":"2026-08-03T05:20:50.746224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01144","last_updated":"2017-08-05T22:45:19Z","snapshot_observed_at":"2026-08-01T18:34:23.156273Z","submitted_at":"2016-11-03T19:48:08Z","title":"Categorical Reparameterization with Gumbel-Softmax","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01144","snapshot_observed_at":"2026-08-03T05:20:51.671351Z","title":"Categorical repa- rameterization with gumbel-softmax.arXiv preprint arXiv:1611.01144,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.671351Z"},"links":{"cited_paper":"/paper/1611.01144","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:7717d01a74a89cecb51d1febfb355cd707c34502c09569e314fe791bf7c43625","observation_id":"ea580bf5-732c-44c8-ac75-9849b697cf09","resolution":{"observed_at":"2026-08-03T05:20:51.671351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19519","last_updated":"2025-03-25T10:16:51Z","snapshot_observed_at":"2026-08-07T16:38:48.819913Z","submitted_at":"2025-03-25T10:16:51Z","title":"Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19519","snapshot_observed_at":"2026-08-03T05:20:51.402621Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.402621Z"},"links":{"cited_paper":"/paper/2503.19519","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:ead73a3453f9057bedb88906b4b41d3aecdb23fd0508933911da6cae38d29e18","observation_id":"14c026cf-27f4-4ed7-a200-e7091ce2aca8","resolution":{"observed_at":"2026-08-03T05:20:51.402621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-03T05:20:50.996971Z","title":"J., Shlens, J., and Szegedy, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:50.996971Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:5ceb28c3d1276de478667d70800c65c81afb84bacfd139d10b6f792f1977750e","observation_id":"9bb463d0-7545-447d-a6c2-ff22a5785ff9","resolution":{"observed_at":"2026-08-03T05:20:50.996971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.00410","last_updated":"2020-03-31T00:15:41Z","snapshot_observed_at":"2026-08-03T19:17:55.564513Z","submitted_at":"2020-03-31T00:15:41Z","title":"Adversarial Attacks on Multivariate Time Series","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.00410","snapshot_observed_at":"2026-08-03T05:20:51.486690Z","title":"Adversarial attacks on multivariate time series.arXiv preprint arXiv:2004.00410,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:51.486690Z"},"links":{"cited_paper":"/paper/2004.00410","citing_paper":"/paper/2602.02763"},"observation_digest":"sha256:a0a0f18dd13f5ebc1d28fa8a93fce465b2c7bb118a7415e6907dfd4b1403a94a","observation_id":"84b07097-b5a6-42af-b027-5468ed01137e","resolution":{"observed_at":"2026-08-03T05:20:51.486690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.02763","last_updated":"2026-05-30T20:45:35Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T08:53:06.388590Z","submitted_at":"2026-02-02T20:14:19Z","title":"Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2602.02763."}