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Paper Citation Record · LEDGER

A Lightweight Transformer for Pain Recognition from Brain Activity

As of 7 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2604.16491.

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

pith.paper-citation-record.v1
2604.16491 v5

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T00:15:34.892129Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:58:55.926726Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy64
  • unresolved1
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff3dfdf4-24d9-4f0b-ad00-4e4a7b47884e · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Painful truth: The need to re-center chronic pain on the functional role of pain

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 58221f3b-b64b-410a-9f18-fd38bc799726 · outbound

This paper cites Marchand,The pain phenomenon.

A Lightweight Transformer for Pain Recognition from Brain Activity Marchand,The pain phenomenon

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a5e81ee5-b39e-410b-a592-9edb8944fa3c · outbound

This paper cites Pain: The silent public health epidemic.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain: The silent public health epidemic

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2e49e05d-0bf6-4578-bb65-6aaed533944a · 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.

A Lightweight Transformer for Pain Recognition from Brain Activity Prescription opioid abuse in chronic pain: an updated review of opioid abuse predictors and strategies to curb opioid abuse: part 1

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation efd75675-dd3e-49fe-8294-54f9d3a41574 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity The first 24 h: opioid administration in people with spinal cord injury and neurologic recovery

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9a626eda-4709-408c-b487-1900bc1a5a08 · outbound

This paper cites Opioid complications and side effects.

A Lightweight Transformer for Pain Recognition from Brain Activity Opioid complications and side effects

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation cf6a8a05-3cf7-44a7-a8a7-e048693a5bca · outbound

This paper cites Analgesic administration, pain intensity, and patient satisfaction in cardiac surgical patients.

A Lightweight Transformer for Pain Recognition from Brain Activity Analgesic administration, pain intensity, and patient satisfaction in cardiac surgical patients

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2e03b71c-f82b-427a-b174-78e1679ea2a9 · outbound

This paper cites Use of a pain assessment and intervention notation (p.a.i.n.) tool in critical care nursing practice: Nurses’ evaluations.

A Lightweight Transformer for Pain Recognition from Brain Activity Use of a pain assessment and intervention notation (p.a.i.n.) tool in critical care nursing practice: Nurses’ evaluations

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:e9e93111a7c938f9cb92176bb4fea57e6d6aca14c87e57c145e1fe4eab9c939d

Observation 2793bc7e-6556-4651-993b-77a41d1ad32b · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Update on prevalence of pain in patients with cancer 2022: A systematic literature review and meta-analysis

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4e28bbb6-649d-465d-969b-95c697d6bbe7 · outbound

This paper cites Cognition and pain: A review.

A Lightweight Transformer for Pain Recognition from Brain Activity Cognition and pain: A review

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 92705442-3076-4700-af9b-cd747358154a · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Pain in focus: How persistent pain disrupts the attentional bias towards pain- related information

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 18c248d4-aa16-4ff8-be28-05e8af8cb473 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity The effect of induced and chronic pain on attention

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6dee1f20-f661-4732-a977-2a15033cc9b8 · outbound

This paper cites A systematic review of neurophysiological sensing for the assessment of acute pain.

A Lightweight Transformer for Pain Recognition from Brain Activity A systematic review of neurophysiological sensing for the assessment of acute pain

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7d9beffc-59cf-405b-8603-44e86328e2c4 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic assessment of pain based on deep learning methods: A systematic review

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.092053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9fc640b4-ab8e-498d-bc5e-b5e16f0d7ca4 · outbound

This paper cites Twifly: A data analysis framework for twitter.

A Lightweight Transformer for Pain Recognition from Brain Activity Twifly: A data analysis framework for twitter

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 44329f8a-527f-4771-bf15-5ad43ae16b3c · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Region of interest detection and evaluation in functional near infrared spectroscopy

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6f024730-d1b9-4bf0-b1c9-f49accc377ea · outbound

This paper cites 1bt: One-block transformer for eeg-based cognitive workload assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity 1bt: One-block transformer for eeg-based cognitive workload assessment

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7e965bf2-c116-43a3-a461-9b274bf9ef82 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Cortical network response to acupuncture and the effect of the hegu point: An fnirs study

Reference 18

Resolution
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arxiv_id, observed 2026-05-21T00:19:16.764013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 85c0156a-f160-4085-80df-e15e550bf9e5 · outbound

This paper cites an unresolved cited work.

A Lightweight Transformer for Pain Recognition from Brain Activity Unresolved cited work

Reference 19

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:5363ace150ae45885f1b0491532944f159a6ec291b506bad40efea6631ecd4da

Observation bb863823-bbe6-4bc4-b4cd-770c2acc08b1 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.758332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:f3a9c2ccdf58970743708b6ceccc99a4491ac6c24c8e8d95a1561e219bc7f3ad

Observation 70545eef-36b7-449b-8763-ad5a47b91150 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Spatio-temporal pain estimation network with measuring pseudo heart rate gain

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:5f1da6260fc0140615c8bfaced7f080d5930b3c257649e11498d0a2a7f41031e

Observation 8c30f09d-e2ec-42a5-a626-1db122fae851 · outbound

This paper cites Acute pain recognition from facial expression videos using vision transformers.

A Lightweight Transformer for Pain Recognition from Brain Activity Acute pain recognition from facial expression videos using vision transformers

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.076718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5953686c-c140-4b65-8572-e9c8f9a0dc6b · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity A full transformer-based framework for automatic pain estimation using videos

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.073989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6fa84ebc-cb9f-4838-a211-4ee3f4acb8ad · outbound

This paper cites Synthetic thermal and rgb videos for automatic pain assessment utilizing a vision-mlp architecture.

A Lightweight Transformer for Pain Recognition from Brain Activity Synthetic thermal and rgb videos for automatic pain assessment utilizing a vision-mlp architecture

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 851664af-0669-4fba-9b08-6ffc23505392 · outbound

This paper cites Automatic pain intensity estimation based on electrocardiogram and demographic factors.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain intensity estimation based on electrocardiogram and demographic factors

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.068688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:3ba370cac90de75d7d62d9ff4cc795ff643da31e9ea5721c48f6cf25d90bc094

Observation d20d3d99-217e-4463-871e-090dfb8b978f · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Multi-task neural networks for pain intensity estimation using electrocardiogram and demographic factors

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.065438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:7b495214bdec246177636126f11c4b9ffc2a06d99915b0340feb4df4f4829369

Observation c05287bb-b04a-46c6-bd8d-b580e24b67a8 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Exploring deep physiological models for nociceptive pain recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.062763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8ac43a5c-220e-4b8f-8010-3bdee660388c · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Ensemble neural networks for multimodal acute pain intensity evaluation using video and physiological signals

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.059613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:035fbbff33d5ff645b6ad55aad923b21ae8f0c157ec8346107838df8969119ae

Observation ecd6f800-ff80-4aab-8dc4-b97ecb5aa1da · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal pain assessment based on physiological biosignals: The impact of demographic factors on perception and sensitivity

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.237342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:e8625a40dcc0a8bed666929818eadfa743c77f1e4c323c7b030ade9aff92b8ef

Observation 829d780c-2f43-4cf0-b924-b7d54a9fba9a · outbound

This paper cites Automatic pain assessment with ultra-short electrodermal activity signal.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain assessment with ultra-short electrodermal activity signal

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.234510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:98f6b883e81f9c97fbe2d774f9e114b5b6df5d9adc3d49cc9ece93d187ac6fea

Observation 07cbd311-faf6-4824-87d6-308c208c297c · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Pain recognition with physiological signals using multi-level context information

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.231725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:3b3b216d884c32f33cf7d5d839685092392d236da4757579eec8639d475ea66e

Observation d069def0-7976-4eba-a492-0aa640927b14 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Transformer encoder with multiscale deep learning for pain classification using physiological signals

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.229227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:60656d6bad81130c8f9a41eaae14cf8dca9fc9826b916770bc38ec542d395cfa

Observation 30483eb8-ca50-4cef-9a2a-b422cd854f0c · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.225881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:fc2868a3a5a2bb218ea681f223ebf0bf57ebafbafb128b20c973c758f0b80713

Observation f3d69b32-66ae-4c8e-af59-fca1117a8e0a · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of eda

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.222781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:a9327ad0633272bc25257cae45940578f7a4a7db59ceb4681aba1fb6cef56af6

Observation 58e88e90-9241-42a7-a62f-b1172aadbd8e · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Multi-representation diagrams for pain recognition: Integrating various electrodermal activity signals into a single image

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.219692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:b7798a61ee81ed0bf6d535c09f7cd0937fcc26972b221a91105e0dffc8f6076f

Observation 12ec1fda-418b-4045-92b1-7b448529d4bc · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Pain assessment based on fnirs using bi-lstm rnns

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.216729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:1ac71be1b5a16096d0ff70a25c3be7222044bd504116afa28bcf77a7f30e8201

Observation 2a93dfa0-1dab-4be1-9ea7-d18cf5a0d0f3 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Multilevel pain assessment with functional near-infrared spectroscopy: Evaluating δhbo2 and δhhb measures for comprehensive analysis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.213651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:5e77e58998178b2a1d2838a7567ee8824a8a8eb347da319f5bac85af9409a6c8

Observation 6d5be8f3-473d-4681-ac26-0bb0561f9ee8 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Empirical comparison of deep learning models for fnirs pain decoding

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.210635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:1a6cbfb32d6db0481ebc9408f6254a56ac491663c10a874d354adc86ca7bd045

Observation 8b6f2081-ceb0-444f-b124-a9624434c3d5 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Pain assessment using multi-kernel-fcn-lstm and haemoglobin difference in fnirs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.207683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:52a4b73a17144a9db687d2825d543ded0cafd55a8c9551236c83d6e4dbaa75b7

Observation 69fcbc23-3ca6-4428-ab69-7f19aceb40d7 · outbound

This paper cites fnirs approach to pain assessment for non-verbal patients.

A Lightweight Transformer for Pain Recognition from Brain Activity fnirs approach to pain assessment for non-verbal patients

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.204491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:5e96a9e44fd276322f2b8b13eeab0cda102fb36fd7cb0559f2bd594037c5a90d

Observation 497a8e0d-45e2-42fd-b01d-c550b3d56625 · outbound

This paper cites A machine learning approach for the identification of a biomarker of human pain using fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity A machine learning approach for the identification of a biomarker of human pain using fnirs

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.201243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:e94ba2dd5a03a31a4cb805c4a89d6eb654922b36ab1444f16df7f6361656c392

Observation 4a395fb5-2457-4921-af30-3a4ae447c656 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Empirical comparison of deep learning models for fnirs pain decoding

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.198240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:3e4426c712d33dd9f4d7fdb4c51435396fef61b31c4d978bb98f3a57dd0912d3

Observation a92b29d7-5dbe-411a-9c3e-a0bc3f3e8818 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity A crossmod-transformer deep learning framework for multi-modal pain detection through eda and ecg fusion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.195241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:00fec8ff6c826b6dac15b1342d35c62060c341f81119d13af4cbb6b4835f3e6b

Observation 71802142-4a88-4d47-a7e5-2ae2da047c75 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Mul- timodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.192363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:a0beafaaf49d2ee0e2bee5cac217cac87e5b15907139a91b9a308f29df172363

Observation 6c17ceab-4660-48bb-9143-96762fde3a05 · outbound

This paper cites Giaformer: A gradient-infused attention and transformer for pain assessment with eda-fnirs fusion.

A Lightweight Transformer for Pain Recognition from Brain Activity Giaformer: A gradient-infused attention and transformer for pain assessment with eda-fnirs fusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.188855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:08f8e74c2779307e7eec8231cbbad64352189de93b5616a72fc5c68a3254a87e

Observation 67cb9018-9a96-468c-8816-bcaf64871220 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Tree-based models for pain detection from biomedical signals

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.186290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:5c078b968e5dd0fe67d2dacb3f62ecb4fe313f546695888fd820c319133affb2

Observation 4291c91a-1804-4936-9902-2346cdd37980 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Discrete wavelet transform based pain assessment using multiple physiological signals

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.183834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:81e064295d1f919f63c000def3053a87a7cdd6643766b70434ed47864f21d1e2

Observation 9125dee3-d896-4fa5-9b11-97ce6952b340 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity A multi-modal multi-expert framework for pain assessment in postoperative children

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.181348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:e37c5edc95834fc363c102843001c278689b1946eea555eee23df16cfc4f0c0a

Observation cd92b4dc-712c-41e3-bb6c-ab43f1dca848 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Efficient pain recognition via respiration signals: A single cross-attention transformer multi-window fusion pipeline

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.178975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:ec5c689da07acc827242c250ccfb9a8fc0d74e2bdd58cefb3c8b2cc8610b7b80

Observation a91c3cd8-c1c1-4e8e-9928-4b299a80569b · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity The ai4pain grand challenge 2024: Advancing pain assessment with multimodal fnirs and facial video analysis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.176365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:1a916f61f8b68b5aead95b5fb4ed842ff04186dfdd66f2ddc4fd743436dc79a8

Observation e54b0328-eaa4-4c1f-829e-07bb20c13a37 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal physiological sensing for the assessment of acute pain

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.173902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:c36d4b1bc9d2f2d36d913d05334ac4020ce831b0dcb429419a42772a7747977c

Observation ccf80cce-a4e0-4503-9dd5-8b1cabdfa73c · outbound

This paper cites Twins-painvit: Towards a modality-agnostic vision transformer framework for multimodal automatic pain assessment using facial videos and fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity Twins-painvit: Towards a modality-agnostic vision transformer framework for multimodal automatic pain assessment using facial videos and fnirs

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.171563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:d9ad15449ecc0cc5259304b6b15b41df5a723613d43b61a5964ab996b3af4e67

Observation 14be6560-c82e-498b-a757-d30bfb069e7e · outbound

This paper cites Faces of experimental pain: Transferability of deep-learned heat pain features to electrical pain*.

A Lightweight Transformer for Pain Recognition from Brain Activity Faces of experimental pain: Transferability of deep-learned heat pain features to electrical pain*

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.169154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:ba299b349658ec8ad54c8cf258145c0692cb03aa108bab792aec5d88943dda13

Observation 2ed9c18b-0cfd-438e-ae7f-318812c762c6 · outbound

This paper cites Multimodal model for automated pain assessment: Leveraging video and fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal model for automated pain assessment: Leveraging video and fnirs

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.166529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:55750c2a4f9da736278bfad15efc9dce40049e3c7e58928c62302d602fa4d1f5

Observation 6b3efba4-4df6-4d29-8e47-d196eb7a8e0e · outbound

This paper cites Empirically transformed energy patterns: A novel approach for capturing fnirs signal dynamics in pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Empirically transformed energy patterns: A novel approach for capturing fnirs signal dynamics in pain assessment

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.163868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:039bb1ae549595a497615ac85a16b5b5aea4a98383fb743aceadd7d4b42e1217

Observation ed3a1771-ab22-4850-a7b3-5e201958f3bf · outbound

This paper cites Transformer with leveraged masked autoencoder for video-based pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Transformer with leveraged masked autoencoder for video-based pain assessment

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.161044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:4786f0291d86fdf4841b11b2b11a3bf08a5843f70ca6b027afc9276b5c889886

Observation 1ec0e074-afc5-45eb-bc38-16fe013041b8 · outbound

This paper cites Painformer: A vision foundation model for automatic pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Painformer: A vision foundation model for automatic pain assessment

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.157652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:345ea505e821dfe5fd2e9332a7e8df7668ac05cf0a6efa424740ac203ee038b3

Observation 62de0bc3-07ef-4d30-987e-569e06bff6b1 · outbound

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

A Lightweight Transformer for Pain Recognition from Brain Activity Tiny-biomoe: a lightweight embedding model for biosignal analysis

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.154934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:8435fe0a3855f14c06fedb0135c99697dd060fe0691dca7cca7965829c435daa

Observation 00ac1494-3b18-4eab-8b02-d58c0d0b88b7 · outbound

This paper cites A view on edge caching applications.

A Lightweight Transformer for Pain Recognition from Brain Activity A view on edge caching applications

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.151636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:be5884f239e0c82d5dbbfe59c35387421b7b521658507a77156d933c5c5649f5

Observation 28483189-a25e-4c74-ad20-4def135dc761 · outbound

This paper cites Empatheticexchanges: Toward understanding the cues for empathy in dyadic conversations.

A Lightweight Transformer for Pain Recognition from Brain Activity Empatheticexchanges: Toward understanding the cues for empathy in dyadic conversations

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.149004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:7cc3922b601dbd589ceecae1d520f7e78ca5c37c20a073d82d7bd26c00860666

Observation b760c8ec-7703-46b6-8c6d-96afc0aa6987 · outbound

This paper cites When and how to express empathy in human-robot interaction scenarios.

A Lightweight Transformer for Pain Recognition from Brain Activity When and how to express empathy in human-robot interaction scenarios

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.145106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:1dfdd523fe913a643e298feb5e25deb533265d927370aed92abd6501e4320a65

Observation 86651d8a-3c98-479d-aa32-770257c1ab00 · outbound

This paper cites Empathetic robots using empathy classifiers in hri settings.

A Lightweight Transformer for Pain Recognition from Brain Activity Empathetic robots using empathy classifiers in hri settings

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.142623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:94bd44f6138520a452657a3a4b963afaaef9a5b447a320aba943905368bd8fcf

Observation 6f544cad-2f82-466d-bdd5-5dfc6d6b8fdc · outbound

This paper cites Data augmentation for 3dmm-based arousal-valence prediction for hri.

A Lightweight Transformer for Pain Recognition from Brain Activity Data augmentation for 3dmm-based arousal-valence prediction for hri

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.140042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:8662da2f20fb7675591a9003c9505247ce00d86dfcf5582f0b107d60959da374

Observation 733602e5-068c-49d7-b683-ab79e4589cf0 · outbound

This paper cites Enhancing social robot’s direct gaze expression through vestibulo-ocular movements.

A Lightweight Transformer for Pain Recognition from Brain Activity Enhancing social robot’s direct gaze expression through vestibulo-ocular movements

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.137473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:99046bf1f8df2ad99f394cf4cfa4074773f5bc2b62db4ded2b62ba9e38ccaeda

Observation 5de8aa60-5da8-42e3-914a-3402e6a21032 · outbound

This paper cites Virtual reflections on a dynamic 2-d eye model improve spatial reference identification.

A Lightweight Transformer for Pain Recognition from Brain Activity Virtual reflections on a dynamic 2-d eye model improve spatial reference identification

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.134618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:e7ebf75a1191e9dab67fd5c9e3ab770b91eb1c587ab424e7b91b56389b5ad536

Observation fd643aca-57b4-4b61-bb5b-fc796dafeb50 · outbound

This paper cites A visual perceptual perspective on gaze in social robotics.

A Lightweight Transformer for Pain Recognition from Brain Activity A visual perceptual perspective on gaze in social robotics

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.131761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:29798140d41c4d41eb06155b01e95e1234c3382f80e1a53872794e6828f0d21c

Observation 8f73695c-9416-4734-99d2-f23aaa493617 · outbound

This paper cites Efficient emotion-aware iconic gesture prediction for robot co-speech.

A Lightweight Transformer for Pain Recognition from Brain Activity Efficient emotion-aware iconic gesture prediction for robot co-speech

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:19:18.129135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T00:15:34.892129Z digest=sha256:6bdc9450a6e884a11d2ab10864952cd89cbbf5ca7b9f0a2ff6723252551eaf8a

Pith citing papers

Observation 86b97262-e7aa-465d-8bb0-729b88698ccb · inbound

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

A Unified Tokenization Framework for Pain Recognition using Heterogeneous 3D Modalities A Lightweight Transformer for Pain Recognition from Brain Activity

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T11:58:55.926726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:58:55.926726Z digest=sha256:aef7f849cd3fd5ea40be06662cacc8314e98365aaf5089e4c2bd1480bba6e561