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Paper Citation Record · LEDGER

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.19726.

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

pith.paper-citation-record.v1
2607.19726 v1

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measured 62 of 62 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T11:55:58.294989Z

measured 62 of 62 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

62 of 62 outbound references displayed

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Outbound references

Observation 8ef46358-dc1e-4fa4-95be-07486276302d · outbound

This paper cites Painful truth: The need to re-center chronic pain on the functional role of pain,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Painful truth: The need to re-center chronic pain on the functional role of pain,

Reference 1

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Observation 37298340-63a3-41cd-a155-b513a9a7dc9b · outbound

This paper cites Marchand,The pain phenomenon.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Marchand,The pain phenomenon

Reference 2

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Observation a9ecc103-d768-4594-a043-ec6214b99bcd · outbound

This paper cites Pain: The silent public health epidemic,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain: The silent public health epidemic,

Reference 3

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Observation c9f1743f-2c32-41bd-b149-a5fd25cd3dd5 · outbound

This paper cites Chronic Pain: An Update on Burden, Best Practices, and New Advances,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Chronic Pain: An Update on Burden, Best Practices, and New Advances,

Reference 4

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Observation dd7ca0ac-3aae-4268-a7e9-be2ae64716c0 · outbound

This paper cites Prescription opioid abuse in chronic pain: an updated review of opioid abuse predictors and strategies to curb opioid abuse: part 1,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Prescription opioid abuse in chronic pain: an updated review of opioid abuse predictors and strategies to curb opioid abuse: part 1,

Reference 5

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Observation bc2c887c-f6b4-47d1-966f-16c2ea1c5e92 · outbound

This paper cites The first 24 h: opioid administration in people with spinal cord injury and neurologic recovery,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The first 24 h: opioid administration in people with spinal cord injury and neurologic recovery,

Reference 6

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Observation 47de8b5e-0fd0-49be-9e65-0bbecd6cca09 · outbound

This paper cites Explainable Graph Attention Network for Stress Recognition (StressGAT) via Differential Action Units,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Explainable Graph Attention Network for Stress Recognition (StressGAT) via Differential Action Units,

Reference 7

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Observation 0995ada3-dcb1-4d5a-860d-6246146112eb · outbound

This paper cites Opioid complications and side effects,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Opioid complications and side effects,

Reference 8

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Observation 6b64fd56-14e6-4891-874d-b2007a26c3ef · outbound

This paper cites Electrodermal activity in pain assessment and its clinical applications,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Electrodermal activity in pain assessment and its clinical applications,

Reference 9

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Observation 26aaae5d-9196-41bf-88bd-f11c6160ec8e · outbound

This paper cites Pain assessment in the patient unable to self-report: Clinical practice recommendations in support of the ASPMN 2019 position statement,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain assessment in the patient unable to self-report: Clinical practice recommendations in support of the ASPMN 2019 position statement,

Reference 10

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Observation bf491eca-c18b-4f13-9bad-367775b19c56 · outbound

This paper cites Update on prevalence of pain in patients with cancer 2022: A systematic literature review and meta-analysis,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Update on prevalence of pain in patients with cancer 2022: A systematic literature review and meta-analysis,

Reference 11

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Observation 17cb584d-5c00-4141-b268-2e91f2930842 · outbound

This paper cites Cognition and pain: A review,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Cognition and pain: A review,

Reference 12

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Observation f62cd53b-7247-47d2-bb01-691b39e583a3 · outbound

This paper cites Pain in focus: How persistent pain disrupts the attentional bias towards pain- related information,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain in focus: How persistent pain disrupts the attentional bias towards pain- related information,

Reference 13

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Observation 37fa9bbe-11a1-4b73-92ff-c375136fd60d · outbound

This paper cites The effect of induced and chronic pain on attention,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The effect of induced and chronic pain on attention,

Reference 14

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Observation 4624c342-67d3-477d-b550-d70f796476f0 · outbound

This paper cites Development and testing of a computerized pain body map in patients with advanced cancer,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Development and testing of a computerized pain body map in patients with advanced cancer,

Reference 15

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Observation 2e4e66c9-d533-4f88-ba2e-25c50ba8fe51 · outbound

This paper cites Discovery of unexpected pain in intubated and sedated patients,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Discovery of unexpected pain in intubated and sedated patients,

Reference 16

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Observation c77e0bf0-88c0-4542-8b3c-2e7efac057b0 · outbound

This paper cites Pain among non-verbal critically ill mechanically ventilated patients: Prevalence, correlates and predictors,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain among non-verbal critically ill mechanically ventilated patients: Prevalence, correlates and predictors,

Reference 17

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Observation b1192aa4-ef58-4a1a-993b-71fd1d35562c · outbound

This paper cites “what about automated pain recognition for routine clinical use?.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling “what about automated pain recognition for routine clinical use?

Reference 18

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Observation b8cdca4c-d99e-4a20-86b3-bc3d08033a13 · outbound

This paper cites A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods

Reference 19

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Observation 1b0ab48d-5876-431b-b161-0eab12f005ec · outbound

This paper cites ReFace: Reorganizing facial spatiotemporal representations for improved pain assessment,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling ReFace: Reorganizing facial spatiotemporal representations for improved pain assessment,

Reference 20

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Observation d41c5066-5f29-4346-a9d6-774d2247f09e · outbound

This paper cites A full transformer-based framework for automatic pain estimation using videos,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A full transformer-based framework for automatic pain estimation using videos,

Reference 21

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Observation 88ec1570-2f27-47bc-88ee-8ca4041ec992 · outbound

This paper cites Multi-task neural networks for pain intensity estimation using electrocardiogram and demographic factors,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multi-task neural networks for pain intensity estimation using electrocardiogram and demographic factors,

Reference 22

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Observation f25d6d2b-bf63-40c2-8077-a54d11dad7e9 · outbound

This paper cites Exploring deep physiological models for nociceptive pain recognition,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Exploring deep physiological models for nociceptive pain recognition,

Reference 23

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Observation bd250856-e6b8-41b8-af00-49d3579e0956 · outbound

This paper cites Automatic pain recognition from video and biomedical signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Automatic pain recognition from video and biomedical signals,

Reference 24

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Observation 2ef2bd0d-ae5c-4d4a-be96-6e94a669fc39 · outbound

This paper cites Ensemble neural networks for multimodal acute pain intensity evaluation using video and physiological signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Ensemble neural networks for multimodal acute pain intensity evaluation using video and physiological signals,

Reference 25

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Observation f966a5c1-a654-40a1-bf36-b9ab996cd31e · outbound

This paper cites Multimodal pain assessment based on physiological biosignals: The impact of demographic factors on perception and sensitivity,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multimodal pain assessment based on physiological biosignals: The impact of demographic factors on perception and sensitivity,

Reference 26

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Observation 6fe96c1b-5fdd-4f57-bbea-6fafdceb2c0c · outbound

This paper cites Multi-representation diagrams for pain recognition: Integrating various electrodermal activity signals into a single image,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multi-representation diagrams for pain recognition: Integrating various electrodermal activity signals into a single image,

Reference 27

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Observation 257c68a7-732d-47ec-ac75-82d0a231785b · outbound

This paper cites Pain recognition with physiological signals using multi-level context information,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain recognition with physiological signals using multi-level context information,

Reference 28

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Observation c182a29f-ca0b-46bf-9c70-2a61374e77b8 · outbound

This paper cites Transformer encoder with multiscale deep learning for pain classification using physiological signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Transformer encoder with multiscale deep learning for pain classification using physiological signals,

Reference 29

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Observation f9a6ffca-96d7-4323-9075-18bb22393593 · outbound

This paper cites Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention,

Reference 30

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Observation 9e53363d-4674-4a3d-94e9-87b46d42e8f2 · outbound

This paper cites A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of eda,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of eda,

Reference 31

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Observation cbf89428-75a0-407a-8133-a330d3224a09 · outbound

This paper cites Efficient pain recognition via respiration signals: A single cross-attention transformer multi-window fusion pipeline,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Efficient pain recognition via respiration signals: A single cross-attention transformer multi-window fusion pipeline,

Reference 32

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Observation 3b4e4ca5-d3c2-42d9-8cf7-2c62d219e82a · outbound

This paper cites Region of interest detection and evaluation in functional near infrared spectroscopy,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Region of interest detection and evaluation in functional near infrared spectroscopy,

Reference 33

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Observation e476c697-ca6a-47e5-9d8e-081455dca300 · outbound

This paper cites Cortical network response to acupuncture and the effect of the hegu point: An fnirs study,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Cortical network response to acupuncture and the effect of the hegu point: An fnirs study,

Reference 34

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Observation 2a396c5e-2009-4df8-a65a-e85ddf3f9b96 · outbound

This paper cites Pain assessment based on fnirs using bi-lstm rnns,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain assessment based on fnirs using bi-lstm rnns,

Reference 35

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Observation e7c308fc-eefb-4acc-9cf6-cf099d825d34 · outbound

This paper cites Multilevel pain assessment with functional near-infrared spectroscopy: Evaluating δhbo2 and δhhb measures for comprehensive analysis,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multilevel pain assessment with functional near-infrared spectroscopy: Evaluating δhbo2 and δhhb measures for comprehensive analysis,

Reference 36

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Observation 6e1692ae-2b88-4f19-98bb-5c7554351c76 · outbound

This paper cites Empirical comparison of deep learning models for fnirs pain decoding,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Empirical comparison of deep learning models for fnirs pain decoding,

Reference 37

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Observation 15f3bf3e-3537-4fe3-a840-2ac83a71791d · outbound

This paper cites A lightweight transformer for pain recognition from brain activity,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A lightweight transformer for pain recognition from brain activity,

Reference 38

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source=pdf_text observed=2026-08-01T11:55:56.265721Z digest=sha256:022a074c35749048d0aaf6952f7fadc8f4c9a8bd21a3c3c1e4eee45868d8a373

Observation caed49dd-d4e8-4ec0-83ef-47620c9166f5 · outbound

This paper cites Pain assessment using multi-kernel-fcn-lstm and haemoglobin difference in fnirs,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain assessment using multi-kernel-fcn-lstm and haemoglobin difference in fnirs,

Reference 39

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source=pdf_text observed=2026-08-01T11:55:56.362112Z digest=sha256:df46e4c1e5c96976550573cbd0c93531b5e516ee227073d305892069a8a4e05f

Observation 1f01def9-9b66-49d1-aa74-afc729edfef6 · outbound

This paper cites Automatic assessment of pain based on deep learning methods: A systematic review,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Automatic assessment of pain based on deep learning methods: A systematic review,

Reference 40

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source=pdf_text observed=2026-08-01T11:55:56.458565Z digest=sha256:83969450921a852f77e49417c6d94c266a2545f75b856684d310054e2cdc72c5

Observation b76d7f3b-247a-43c7-a3e7-8efe11da2dec · outbound

This paper cites A systematic review of multimodal signal fusion for acute pain assessment systems,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A systematic review of multimodal signal fusion for acute pain assessment systems,

Reference 41

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source=pdf_text observed=2026-08-01T11:55:56.506945Z digest=sha256:b40578a851856de4bf116a955186548a21c49656594cc01d06a752b0942948a8

Observation ef3f7068-24f5-46fe-9dff-78d199770b29 · outbound

This paper cites A crossmod-transformer deep learning framework for multi-modal pain detection through eda and ecg fusion,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A crossmod-transformer deep learning framework for multi-modal pain detection through eda and ecg fusion,

Reference 42

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source=pdf_text observed=2026-08-01T11:55:56.583145Z digest=sha256:2652590732f9c4ddca7dd8980ccf800fcd4f67a790a5849dc154f6c99575c1a8

Observation 39c107de-76ce-4b80-826e-e71a37971e7c · outbound

This paper cites A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities,

Reference 43

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source=pdf_text observed=2026-08-01T11:55:56.645556Z digest=sha256:af5753a4324d5e4a7921189b41889ef5170441c27db4a9e9d2e94aacb58fa089

Observation 0fd99524-0552-483c-9e85-462c7cb1f377 · outbound

This paper cites Tiny-biomoe: a lightweight embedding model for biosignal analysis,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Tiny-biomoe: a lightweight embedding model for biosignal analysis,

Reference 44

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source=pdf_text observed=2026-08-01T11:55:56.717158Z digest=sha256:bc417de76bfb4715584891e1b5d400c3b98b055e9dc56aaf4cd66d9b8dddd852

Observation 413d8f17-3475-4162-b44e-315ef84497bc · outbound

This paper cites Tree-based models for pain detection from biomedical signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Tree-based models for pain detection from biomedical signals,

Reference 45

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source=pdf_text observed=2026-08-01T11:55:56.787214Z digest=sha256:e487db7b60a475b03112bfe417164838ae190ce82cca66a4f676576dd1517cb4

Observation 74fa2e99-4bc8-4ae2-9d23-c11978128969 · outbound

This paper cites Discrete wavelet transform based pain assessment using multiple physiological signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Discrete wavelet transform based pain assessment using multiple physiological signals,

Reference 46

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source=pdf_text observed=2026-08-01T11:55:56.879347Z digest=sha256:e26f52b02f8eb4bff8b5816f5f8c197ba8365a273d5b65c263db553946a3e1f4

Observation a074833c-4169-4a8f-8c86-e9a4ef64110f · outbound

This paper cites A multi-modal multi-expert framework for pain assessment in postoperative children,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling A multi-modal multi-expert framework for pain assessment in postoperative children,

Reference 47

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source=pdf_text observed=2026-08-01T11:55:56.992759Z digest=sha256:5de3fda42a61c9e6b20f97e0a5527b9a54e7e2e17059bd11d5ac0220436f5ffa

Observation ecd4e3fd-57b2-4ab7-a943-f09a9a25bcd1 · outbound

This paper cites Multimodal signal analysis for pain recognition in physiotherapy using wavelet scattering transform,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multimodal signal analysis for pain recognition in physiotherapy using wavelet scattering transform,

Reference 48

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source=pdf_text observed=2026-08-01T11:55:57.087556Z digest=sha256:0d9c1b24cf6bb23c338891d7f1b273949db06262cf6afe79936623df5a44324a

Observation 8f5f235f-3e20-40dd-9d21-0aeeaf8c861d · outbound

This paper cites Multi-modal fusion based automatic pain assessment,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multi-modal fusion based automatic pain assessment,

Reference 49

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source=pdf_text observed=2026-08-01T11:55:57.156154Z digest=sha256:24e2c55f114dbaee05425b221c7ead0ea417cfe1064e04e9faccb771b69485d0

Observation aefb6d31-a837-4bd0-82a0-0370171fd856 · outbound

This paper cites Mul- timodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Mul- timodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures,

Reference 50

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source=pdf_text observed=2026-08-01T11:55:57.189773Z digest=sha256:d4acd2781338634f7e5869cbeb416d4c9be800c1a359b8b7d3977b2cb0d2c8a5

Observation f8e1841e-f522-41dd-bd84-b05cdf0fb543 · outbound

This paper cites Spatio-temporal pain estimation network with measuring pseudo heart rate gain,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Spatio-temporal pain estimation network with measuring pseudo heart rate gain,

Reference 51

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source=pdf_text observed=2026-08-01T11:55:57.248937Z digest=sha256:0849e972034e4f83d3940f2b3491b46e632c3bc0c6ac40713e499a86ca906935

Observation 6de964cf-5468-4c3c-b376-66c4eead2907 · outbound

This paper cites “where does it hurt?.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling “where does it hurt?

Reference 52

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source=pdf_text observed=2026-08-01T11:55:57.346905Z digest=sha256:de7d91d808dba966eab6af62e44c31c2622bdbc4ba9981b3449905583451e681

Observation 461edc20-d7e8-4cec-9aca-74cb5a4c31f6 · outbound

This paper cites The reliability and concurrent validity of PainMAP software for automated quantification of pain drawings on body charts of patients with low back pain,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The reliability and concurrent validity of PainMAP software for automated quantification of pain drawings on body charts of patients with low back pain,

Reference 53

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source=pdf_text observed=2026-08-01T11:55:57.536079Z digest=sha256:484db8ed9540eb141e5b8715f993fbd21d465045b573c1c56b4cc111d344c141

Observation 03f7d364-a5f7-4189-bd17-be10b3308d80 · outbound

This paper cites Quantification of Patient-Reported Pain Locations: Development of an Automated Measurement Method,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Quantification of Patient-Reported Pain Locations: Development of an Automated Measurement Method,

Reference 54

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source=pdf_text observed=2026-08-01T11:55:57.645263Z digest=sha256:d610c65e6f4e37f7f47136f068eae44733e2dc6081b8011ab92ad97b2e744719

Observation 04890f27-8200-4926-945a-f0048072975a · outbound

This paper cites The ai4pain grand challenge 2026: A multimodal physiological dataset and benchmark for pain detection and localisation.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The ai4pain grand challenge 2026: A multimodal physiological dataset and benchmark for pain detection and localisation

Reference 55

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source=pdf_text observed=2026-08-01T11:55:57.749257Z digest=sha256:b10021a9d9489ad412e93a6c0b60ddba31709cfc2f63ba168ca1ee2268ce5de4

Observation 91ad6e92-36d5-48a6-bbb7-0b1ede68b9f1 · outbound

This paper cites The ai4pain grand challenge 2025: Advancing pain assessment with multimodal physiological signals,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The ai4pain grand challenge 2025: Advancing pain assessment with multimodal physiological signals,

Reference 56

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source=pdf_text observed=2026-08-01T11:55:57.834643Z digest=sha256:653e66a77f8c7029c32ae4a02db6ea6da73e47ba4c479f5d34bbab16ee050173

Observation faba84cc-1109-4134-a030-20e8d2b616cf · outbound

This paper cites The ai4pain grand challenge 2024: Advancing pain assessment with multimodal fnirs and facial video analysis,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling The ai4pain grand challenge 2024: Advancing pain assessment with multimodal fnirs and facial video analysis,

Reference 57

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source=pdf_text observed=2026-08-01T11:55:57.916821Z digest=sha256:ccb14942dd7d2ba857f606c3d6616678a2d8046659e48565c09629a450624faa

Observation 0ef90fcc-3307-47fa-87e2-31cd084af9f5 · outbound

This paper cites Multimodal physiological sensing for the assessment of acute pain,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Multimodal physiological sensing for the assessment of acute pain,

Reference 58

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source=pdf_text observed=2026-08-01T11:55:58.004828Z digest=sha256:189bb1c2e4953d97aea1b0cbbde976cbbc2edcdc38ae3c08b392f1ae1e769845

Observation 060a81ba-7bf1-41e3-a3ea-fa8d10655caf · outbound

This paper cites Extremely randomized trees,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Extremely randomized trees,

Reference 59

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source=pdf_text observed=2026-08-01T11:55:58.054665Z digest=sha256:cb208d4dc5186ab98cb381e2f10921d9b10d5c592d024189c1a419cfe7099ec4

Observation 6f5246b8-49ea-47a7-bfdb-1e764eea2fde · outbound

This paper cites Electrodermal activity: The potential of psychophysiology in pain assessment,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Electrodermal activity: The potential of psychophysiology in pain assessment,

Reference 60

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source=pdf_text observed=2026-08-01T11:55:58.146968Z digest=sha256:657207c51ef6e9b6c28ffae101d4d0766d0c850881a6baf747a2c23c4bebc4b1

Observation 38506fa2-047e-4b3f-9e1c-35b8cd815fb1 · outbound

This paper cites Heart rate variability and pain: A systematic review,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Heart rate variability and pain: A systematic review,

Reference 61

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source=pdf_text observed=2026-08-01T11:55:58.173695Z digest=sha256:d4d15cc64acc9cfcaf61a39a448c9e3ab5120f53bba7f04cb1504cbff30265a5

Observation 6fe9ffdc-b109-491d-a3ca-3e6790fa63bc · outbound

This paper cites Pain and respiration: A systematic review,.

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling Pain and respiration: A systematic review,

Reference 62

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source=pdf_text observed=2026-08-01T11:55:58.294989Z digest=sha256:8e0bcaed90ac21741cf8ec83c57d27ae0869047ca26851f3c29262044b3fcd69

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