{"as_of":"2026-08-21T02:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e84947f8b43b81ed125f23e78bcf547ae488fddb5bf4708771dac8d5cfaf0694","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T01:00:36.771638Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2606.24974/citation-record","integrity":"/paper/2606.24974/integrity","json":"/paper/2606.24974/citation-record.json","paper":"/paper/2606.24974"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T01:00:36.771638Z","title":"Electrocardiogram 1: purpose, physiology and practicalities,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:48362e9f861870fc62b0d5e75e6c3872e3c49d3cdee960b1443333df1410e829","observation_id":"57e803ba-1fe3-4a04-90e8-0ec0890fc540","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"A unified approach to interpreting model predictions,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:aecdfcb3a815c7e67951c7e37463a06030ae9e5ef2fa9dfdf3c88c9ccd17cf5d","observation_id":"1b50452c-7ab7-4927-a746-eb4451621a41","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Grad-CAM: Visual explana- tions from deep networks via gradient-based localiza- tion,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:09f1afdeca908f1044918c8f86fd255a55148add2b48f37d086f57859c2d8a21","observation_id":"93958f62-5bd6-4470-80eb-e92f97c01140","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"A review of evaluation approaches for explainable ai with applications in cardiology,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:9a9368ec2daa3af1931b9cb245acc3a64745f28c67dadedfe57fc47700e0797a","observation_id":"ff04fbcf-08c5-4a1a-8eb1-19732c29fe0d","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Essential proper- ties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:73c2bd8da83ca7cc3518b3907b5fb77ee99d7dbf5e96860d8f964734ec92cbaf","observation_id":"84a09983-420c-464a-bb3f-12e655277759","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Future-ai: International con- sensus guideline for trustworthy and deployable artificial intelligence in healthcare,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:84c9eec7bd0c8f79c92ba06e06285454861c09fe04cc7f25cd929fc3b11c633c","observation_id":"0ef22233-c9d5-4cd3-a912-a2dd72c29282","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Causal explanations for image classifiers,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:d94ade4ba892b84a42ad3aeb4cf7c914c3fca07a8fcddf032db2b5e4de25959d","observation_id":"f8c31745-bd91-4991-b093-b7d867c54c0d","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2507.23497","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T16:09:56.399832Z","title":"Causal identification of sufficient, contrastive and complete feature sets in image classification","venue":null,"work_id":"199e92d3-1163-4114-bff1-1ca476304af3","year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:101ce7ca977e470e4aa66da1f71d5fa8bb85e5ec357b9dee2498c051e4cf1db2","observation_id":"b8f0d777-64bc-442f-b48e-02008f5c670b","resolution":{"observed_at":"2026-07-04T16:09:56.401273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T01:00:36.771638Z","title":"Why Should I Trust You?: Explaining the predictions of any classifier,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:4c86b0f9399f1bbe1d64a888b6bb2d49db37199e3a6b0437c341911fe5729a30","observation_id":"6bca6d2b-0504-4b0d-8f5e-fe39fe81ba9b","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Face: Faithful automatic concept extraction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:c266c6125193e2fcb89f1b43575fe6e8807ed9d3e6baf627d48bbee230431dd0","observation_id":"ae029e88-71f4-4f30-9da2-4be7f7df3b5c","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Guidelines and evaluation of clinical explainable ai in medical image analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:3f698229707f2823ecd8297a936a1d47e3cfa44d357e779cc175b50d564c6e76","observation_id":"9989c9d9-dc53-4c2c-a6dc-32ff9a149602","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06620","last_updated":"2025-05-10T12:09:19Z","snapshot_observed_at":"2026-08-20T05:41:32.740658Z","submitted_at":"2025-05-10T12:09:19Z","title":"Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations","version":1},"cited_work":{"arxiv_id":"2505.06620","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06620","snapshot_observed_at":"2026-07-04T16:09:56.397119Z","title":"Integrating explainable ai in medical devices: Technical, clinical and regu- latory insights and recommendations,","venue":null,"work_id":"bca7a154-1918-4430-974c-913e6c348782","year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"cited_paper":"/paper/2505.06620","citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:a59dff598f692f68d8146193e7b9a623bae95c33834da94c974f3b35b24b5781","observation_id":"38ffd4ef-e6aa-4279-977e-db396c7872be","resolution":{"observed_at":"2026-07-04T16:09:56.398647Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T01:00:36.771638Z","title":"Solving the explainable ai conundrum by bridging clinicians’ needs and developers’ goals,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:647574f4dc486f69e7158eba375e4d5697238185cc994ee0f425bb01ab61016b","observation_id":"6a81c83c-014a-4853-852a-a09a44b6b3f7","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:69832c98218104ee5cd15b393afb483be82e7dfa1b920e57da3d7be5b28865e1","observation_id":"4d8f91dc-2fd4-4cd0-baf1-b3d939de1b95","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Arrhythmia classifier using convolutional neural network with adaptive loss-aware multi-bit net- works quantization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:e1e68fa6a97e9c9d0a23eb031e56bf43e44b89e2c06e5138af18d8893ea6c5b4","observation_id":"1ad9a830-77f7-4233-9300-38dd054777fb","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"The impact of the mit- bih arrhythmia database,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:baa7c95bba0a8447f073830276af794a562505596e9519a2337a6e4745b4c289","observation_id":"9fdbb774-f8e0-49e5-a5db-61704d8281fa","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Learning important features through propagating activation differ- ences,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:076262c92a16a32f1afaa7d04a2d8de3b36ff5134bbe7d0a31ecfeb9c3a27232","observation_id":"2bec08d5-a323-4c29-bd61-2b86ec686bf6","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Mrxai: Black-box explainability for image classifiers in a medical setting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:4c6b904138a4cebb534335d91b01ce3f3c03bc32637d1afd41b91943705f28bc","observation_id":"0715b16c-4910-456e-850a-d6dffd92f6f1","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Limesegment: Meaningful, realis- tic time series explanations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:edbbab7d308a660c82615acfc8ad58b8c9a876013d410bef04427280984c1185","observation_id":"00b1106e-2f76-4733-a8da-3e698b4e402d","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Multiple different black box explanations for image classifiers,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:ba8e5a1d1e81c8aaa029392ecfa8eaff79aa316c69c5f4e9d9cd26d1b2692ff9","observation_id":"e8fdf343-06c4-4402-8166-692227c4d8b8","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"RISE: randomized input sampling for explanation of black-box models,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:a725f3e6a79184817b42451f0e82ba532edf66917bab097c4efc8ac5a95c4e74","observation_id":"424b7565-2e43-472e-8172-6661ec4c0bdc","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Yeh, C.-Y","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:b898ee5989ebf2a1d2c9b0a190452f10512c73cf4d1266cacee13921b169ad0e","observation_id":"3d1ca125-170c-48f5-b09f-f1f275e51103","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","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":"2026-06-26T01:00:36.771638Z","title":"Explanation in artificial intelligence: Insights from the social sciences,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:35e7e4e3e965ab1b3d30375dc27c26a1671d0e753638d9e060e9401ac0d84295","observation_id":"2bda5f23-3cfb-4c9c-bbbe-a44be596af97","resolution":{"observed_at":"2026-06-26T01:00:36.771638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07265","last_updated":"2023-07-19T12:18:34Z","snapshot_observed_at":"2026-08-16T15:55:20.762153Z","submitted_at":"2023-02-14T18:59:02Z","title":"The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus","version":2},"cited_work":{"arxiv_id":"2302.07265","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.07265","snapshot_observed_at":"2026-07-04T16:09:56.394433Z","title":"The meta- evaluation problem in explainable ai: identifying re- liable estimators with metaquantus,","venue":null,"work_id":"b2d38a73-77aa-4974-9a99-ad8080729b98","year":2023},"citing_paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T01:00:36.771638Z"},"links":{"cited_paper":"/paper/2302.07265","citing_paper":"/paper/2606.24974"},"observation_digest":"sha256:1137d6c503aa3166cb8a098e001a1b9ff4b70970489787acdae3af293716d269","observation_id":"80878407-4c72-436b-b7a8-26111d01a517","resolution":{"observed_at":"2026-07-04T16:09:56.396011Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.24974","last_updated":"2026-06-23T11:47:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T21:09:35.307684Z","submitted_at":"2026-06-23T11:47:29Z","title":"Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":24},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.24974."}