Paper Citation Record · LEDGER

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.18971.

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

pith.paper-citation-record.v1
2412.18971 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:04:23.303950Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy12
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34d9bc10-5ace-4983-9e58-1366c64d6cc5 · outbound

This paper cites Explainable ai for time series classification: a review, taxonomy and research directions,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Explainable ai for time series classification: a review, taxonomy and research directions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.499350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cffeb666-7520-4c2b-9ab6-c69c8fdff1ff · outbound

This paper cites Stress and sleep disorder,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Stress and sleep disorder,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.489009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e85a95c-c81a-42a8-8078-e3518cbed657 · outbound

This paper cites Metrics for Explainable AI: Challenges and Prospects.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:23.257443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0574717f-88ac-43d8-a600-9580579db3e6 · outbound

This paper cites Ai trustworthy challenges in drug discovery,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Ai trustworthy challenges in drug discovery,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.478015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1cc96ff-282c-487c-9f7a-b3a5a67dca5e · outbound

This paper cites Multimodal ambulatory sleep detection using lstm recurrent neural networks,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Multimodal ambulatory sleep detection using lstm recurrent neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.466326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb68467b-3aac-4c59-bf96-68dbbc8a3315 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:23.270959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f32360-9473-4087-a2b0-b201ee70d14c · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Temporal fusion transformers for interpretable multi-horizon time series forecasting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.454533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23a13e77-694b-46b7-a3f6-1c4cf149e9df · outbound

This paper cites an unresolved cited work.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:23.443795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0f3a938-5c02-4fc6-ac37-8c83de8e7c3c · outbound

This paper cites Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.432319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72da47e7-402e-45f5-acc1-a98b84be211f · outbound

This paper cites An explainable deep-learning model to stage sleep states in children and propose novel eeg -related patterns in sleep apnea,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations An explainable deep-learning model to stage sleep states in children and propose novel eeg -related patterns in sleep apnea,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.419779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e61cdce1-2070-4908-9e73-a3d5508b3d0c · outbound

This paper cites Explainable ai (xai): Core ideas, techniques, and solutions,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Explainable ai (xai): Core ideas, techniques, and solutions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.407031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38fb15d6-dfad-44e2-8a1d-81fab9173a4f · outbound

This paper cites A review of recurrent neural networks: Lstm cells and network architectures,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations A review of recurrent neural networks: Lstm cells and network architectures,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.395886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7fbe7d8-af7e-4672-bf9e-74c7431a6740 · outbound

This paper cites Ms-tcn: Multi -stage temporal convolutional network for action segmentation,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Ms-tcn: Multi -stage temporal convolutional network for action segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.384398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71e6757b-2e2d-4508-b3e2-52d765774c03 · outbound

This paper cites Multilevel monitoring of activity and sleep in healthy people,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Multilevel monitoring of activity and sleep in healthy people,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.372956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5f22198-cc9c-4360-8344-c77bcd40bd4e · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr,.

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations Counterfactual explanations without opening the black box: Automated decisions and the gdpr,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:23.359046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.