Paper Citation Record · LEDGER

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.24974.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.24974 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:00:36.771638Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact3
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57e803ba-1fe3-4a04-90e8-0ec0890fc540 · outbound

This paper cites Electrocardiogram 1: purpose, physiology and practicalities,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Electrocardiogram 1: purpose, physiology and practicalities,

Reference 1

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Source-reported events for the cited work

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Observation 1b50452c-7ab7-4927-a746-eb4451621a41 · outbound

This paper cites A unified approach to interpreting model predictions,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy A unified approach to interpreting model predictions,

Reference 2

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Source-reported events for the cited work

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Observation 93958f62-5bd6-4470-80eb-e92f97c01140 · outbound

This paper cites Grad-CAM: Visual explana- tions from deep networks via gradient-based localiza- tion,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Grad-CAM: Visual explana- tions from deep networks via gradient-based localiza- tion,

Reference 3

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Observation ff04fbcf-08c5-4a1a-8eb1-19732c29fe0d · outbound

This paper cites A review of evaluation approaches for explainable ai with applications in cardiology,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy A review of evaluation approaches for explainable ai with applications in cardiology,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 84a09983-420c-464a-bb3f-12e655277759 · outbound

This paper cites Essential proper- ties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Essential proper- ties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

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Observation 0ef22233-c9d5-4cd3-a912-a2dd72c29282 · outbound

This paper cites Future-ai: International con- sensus guideline for trustworthy and deployable artificial intelligence in healthcare,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Future-ai: International con- sensus guideline for trustworthy and deployable artificial intelligence in healthcare,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation f8c31745-bd91-4991-b093-b7d867c54c0d · outbound

This paper cites Causal explanations for image classifiers,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Causal explanations for image classifiers,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation b8f0d777-64bc-442f-b48e-02008f5c670b · outbound

This paper cites Causal identification of sufficient, contrastive and complete feature sets in image classification.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Causal identification of sufficient, contrastive and complete feature sets in image classification

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.401273Z

Source-reported events for the cited work

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Observation 6bca6d2b-0504-4b0d-8f5e-fe39fe81ba9b · outbound

This paper cites Why Should I Trust You?: Explaining the predictions of any classifier,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Why Should I Trust You?: Explaining the predictions of any classifier,

Reference 9

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Source-reported events for the cited work

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Observation ae029e88-71f4-4f30-9da2-4be7f7df3b5c · outbound

This paper cites Face: Faithful automatic concept extraction,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Face: Faithful automatic concept extraction,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 9989c9d9-dc53-4c2c-a6dc-32ff9a149602 · outbound

This paper cites Guidelines and evaluation of clinical explainable ai in medical image analysis,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Guidelines and evaluation of clinical explainable ai in medical image analysis,

Reference 11

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Observation 38ffd4ef-e6aa-4279-977e-db396c7872be · outbound

This paper cites Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.398647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a81c83c-014a-4853-852a-a09a44b6b3f7 · outbound

This paper cites Solving the explainable ai conundrum by bridging clinicians’ needs and developers’ goals,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Solving the explainable ai conundrum by bridging clinicians’ needs and developers’ goals,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 4d8f91dc-2fd4-4cd0-baf1-b3d939de1b95 · outbound

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Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 1ad9a830-77f7-4233-9300-38dd054777fb · outbound

This paper cites Arrhythmia classifier using convolutional neural network with adaptive loss-aware multi-bit net- works quantization,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Arrhythmia classifier using convolutional neural network with adaptive loss-aware multi-bit net- works quantization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 9fdbb774-f8e0-49e5-a5db-61704d8281fa · outbound

This paper cites The impact of the mit- bih arrhythmia database,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy The impact of the mit- bih arrhythmia database,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 2bec08d5-a323-4c29-bd61-2b86ec686bf6 · outbound

This paper cites Learning important features through propagating activation differ- ences,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Learning important features through propagating activation differ- ences,

Reference 17

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Observation 0715b16c-4910-456e-850a-d6dffd92f6f1 · outbound

This paper cites Mrxai: Black-box explainability for image classifiers in a medical setting,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Mrxai: Black-box explainability for image classifiers in a medical setting,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 00b1106e-2f76-4733-a8da-3e698b4e402d · outbound

This paper cites Limesegment: Meaningful, realis- tic time series explanations,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Limesegment: Meaningful, realis- tic time series explanations,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation e8fdf343-06c4-4402-8166-692227c4d8b8 · outbound

This paper cites Multiple different black box explanations for image classifiers,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Multiple different black box explanations for image classifiers,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 424b7565-2e43-472e-8172-6661ec4c0bdc · outbound

This paper cites RISE: randomized input sampling for explanation of black-box models,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy RISE: randomized input sampling for explanation of black-box models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 3d1ca125-170c-48f5-b09f-f1f275e51103 · outbound

This paper cites Yeh, C.-Y.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Yeh, C.-Y

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 2bda5f23-3cfb-4c9c-bbbe-a44be596af97 · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences,.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy Explanation in artificial intelligence: Insights from the social sciences,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T01:00:36.771638Z

Source-reported events for the cited work

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Observation 80878407-4c72-436b-b7a8-26111d01a517 · outbound

This paper cites The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus.

Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.396011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.