Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:23:25.580588Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.20819.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:23:25.580588Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
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Observation 15500d6b-0c4b-447b-8937-c5774d3a51f3 · outbound
Explainable graph attention network for stress recognition (StressGAT) via differential action units Review on psychological stress detection using biosignals,
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Observation 0207a938-f8ae-460e-8b5d-114f3df8ef2e · outbound
Explainable graph attention network for stress recognition (StressGAT) via differential action units Machine learning for personalised stress detection: Inter-individual variability of eeg-ecg markers for acute-stress response,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Ecg-based biometric under different psychological stress states,
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Observation 187d31a2-5a71-4844-a62f-2f7ce41ba700 · outbound
Explainable graph attention network for stress recognition (StressGAT) via differential action units Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Explainable ai in high-stakes domains: Improving trust, trans- parency, and accountability in automated decision-making,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Explainable multitask burnout prediction using adaptive deep learning (embrace) for resident physicians: Algorithm development and validation study,
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Observation 6bcef833-fbe4-416a-afe9-96fef1b51b7e · outbound
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Xu and G
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Combining Facial Videos and Biosignals for Stress Estimation During Driving
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Concordance between facial micro-expressions and physiological signals under emotion elicitation,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units An amplification of feedback from facial muscles strengthened sympathetic activations to emotional facial cues,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Action Unit Enhance Dynamic Facial Expression Recognition
Reference 29
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Observation 4e0810c7-53f3-4eb7-b560-8e1d66e4ba2c · outbound
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Explainable graph attention network for stress recognition (StressGAT) via differential action units ReFace: Reorganizing Facial Spatiotemporal Representations for Improved Pain Assessment,
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Observation 5a8db611-9d6d-4b69-bd6f-c4bbcf289c0a · outbound
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Openface 2.0: Facial behavior analysis toolkit,
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Observation 617af558-fc1f-4d2d-97e5-1463c0f96c8b · outbound
Explainable graph attention network for stress recognition (StressGAT) via differential action units Assessing automated facial action unit detection systems for analyzing cross-domain facial expression databases,
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Explainable graph attention network for stress recognition (StressGAT) via differential action units Convolutional Experts Constrained Local Model for Facial Landmark Detection
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Observation 5639e2c7-36f4-4002-b479-8b4e7a322fa1 · outbound
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Observation 39c1a58e-9b93-4277-9db8-82f9e22c59ed · outbound
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Observation 15ecda04-32b6-46b9-96e1-4e03983f497c · outbound
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Explainable graph attention network for stress recognition (StressGAT) via differential action units A comprehensive review of the paced auditory serial addition test (pasat),
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Observation e6f3785d-cc60-44d5-869d-535762d88b1a · outbound
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