Paper Citation Record · LEDGER

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.18412.

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

pith.paper-citation-record.v1
2505.18412 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:17.349932Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7938ebb4-4fb2-4ad0-91d3-7414935f9bdb · outbound

This paper cites Rehabilitation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Rehabilitation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.061668Z

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Observation 0716820c-3db7-442d-9fcd-65d295fcf1f2 · outbound

This paper cites Exercise-based cardiac rehabilitation for coronary heart disease: a meta-analysis,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Exercise-based cardiac rehabilitation for coronary heart disease: a meta-analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.051866Z

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Observation f24d2247-4e38-4c41-adf5-5488b5e99fb6 · outbound

This paper cites Barriers and facilitators of rehabilitation nursing care for patients with disability in the rehabilitation hospital: A qualitative study,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Barriers and facilitators of rehabilitation nursing care for patients with disability in the rehabilitation hospital: A qualitative study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.041082Z

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Observation 514156ad-5290-479c-bc71-c1ef275f8d31 · outbound

This paper cites Usage of auxiliary systems and artificial intelligence in home-based rehabilitation: A review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Usage of auxiliary systems and artificial intelligence in home-based rehabilitation: A review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.031239Z

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Observation d1fca74c-f15d-4776-adf0-6cf0cf4ce98a · outbound

This paper cites Effective- ness of telerehabilitation in physical therapy: a rapid overview,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Effective- ness of telerehabilitation in physical therapy: a rapid overview,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.021547Z

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Observation 2be84dfd-91d5-4747-8f03-c05fb70a4760 · outbound

This paper cites Wear- able sensors and machine learning in post-stroke rehabilitation assessment: A sys- tematic review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Wear- able sensors and machine learning in post-stroke rehabilitation assessment: A sys- tematic review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:20.011095Z

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Observation 17d5b1f2-6f08-4740-b436-7e37515fa08c · outbound

This paper cites Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review,

Reference 7

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Observation 89d689f9-ab4d-4741-bda1-67eae2ff2178 · outbound

This paper cites Artificial intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Artificial intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review,

Reference 8

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Observation 82626625-c63b-4f62-bf49-2d907df9d446 · outbound

This paper cites Technological advances in lower-limb tele- rehabilitation:Areviewofliterature,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Technological advances in lower-limb tele- rehabilitation:Areviewofliterature,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.985843Z

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Observation a1d84672-dc9a-46a0-9bf8-17b68fb57ab0 · outbound

This paper cites Feedback design in targeted exercise digital biofeedback systems for home rehabilitation: A scoping review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Feedback design in targeted exercise digital biofeedback systems for home rehabilitation: A scoping review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.976356Z

Source-reported events for the cited work

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Observation b1896bdf-ae16-42c1-a4f2-d5517c27d43c · outbound

This paper cites 3d human pose estimation in video with temporal convolutions and semi-supervised training,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering 3d human pose estimation in video with temporal convolutions and semi-supervised training,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.966610Z

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Observation d72954e5-7564-482e-aa61-04a029274724 · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering MediaPipe: A Framework for Building Perception Pipelines

Reference 12

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Observation 9860901a-c9d2-4807-a621-2592d5fee54f · outbound

This paper cites Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment

Reference 13

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Observation 57deeed6-1593-4440-a619-75f24075e894 · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.957546Z

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Observation a0504ce1-12c5-4b2c-8778-c360f49b4d3b · outbound

This paper cites The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.947148Z

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Observation 8cc75b2d-2e0f-47e5-bb2f-59ebfb7c0f26 · outbound

This paper cites Relevance of therapist feedback in the context of group-based exercise programs in medical rehabilitation–results from a qualitative study with patients and exercise therapists,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Relevance of therapist feedback in the context of group-based exercise programs in medical rehabilitation–results from a qualitative study with patients and exercise therapists,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.935905Z

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Observation 5f8f3db1-71d8-43e1-962b-c1583ad73b54 · outbound

This paper cites Feedback- mediated upper extremities exercise: Increasing patient motivation in poststroke rehabilitation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Feedback- mediated upper extremities exercise: Increasing patient motivation in poststroke rehabilitation,

Reference 17

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Observation 330325e7-a378-45fe-959e-29476e9b29a9 · outbound

This paper cites Ubiphysio: Support daily functioning, fitness, and rehabilitation with action understanding and feedback in natural language,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Ubiphysio: Support daily functioning, fitness, and rehabilitation with action understanding and feedback in natural language,

Reference 18

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Observation a105aea0-c051-4529-9d95-61e26c6306e9 · outbound

This paper cites A data set of human body movements for physical rehabilitation exercises,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering A data set of human body movements for physical rehabilitation exercises,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.905971Z

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Observation 8b896ae9-2da8-4503-9ead-ad5c25fb152e · outbound

This paper cites Rehab24-6: Physical therapy dataset for analyzing pose estimation methods,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Rehab24-6: Physical therapy dataset for analyzing pose estimation methods,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.897428Z

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Observation 55965bbd-ab1f-4f19-8e25-4ff878571655 · outbound

This paper cites A deep learning framework for assessing physical rehabilitation exercises,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering A deep learning framework for assessing physical rehabilitation exercises,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.887669Z

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Observation 09177de6-e0c6-4d0f-8ecc-2d869d6946d5 · outbound

This paper cites Exercise-specific feature extraction approach for assessing physical rehabilitation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Exercise-specific feature extraction approach for assessing physical rehabilitation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.878649Z

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Observation 4f206bed-de9f-4c8f-a148-7623821305f9 · outbound

This paper cites Supervised sequential contrastive regression: Improving performance on imbalanced rehabilitation exercises datasets,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Supervised sequential contrastive regression: Improving performance on imbalanced rehabilitation exercises datasets,

Reference 23

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Observation 4d300ebd-4a0f-4300-bb6e-97e022047b1c · outbound

This paper cites Graph convolutional networks for assessment of physical rehabilitation exercises,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Graph convolutional networks for assessment of physical rehabilitation exercises,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.860082Z

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Observation 7074183a-3742-4d07-80ec-32955baead57 · outbound

This paper cites A skeleton-based rehabilitation exer- cise assessment system with rotation invariance,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering A skeleton-based rehabilitation exer- cise assessment system with rotation invariance,

Reference 25

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Observation 620c817e-1ea8-45a7-91db-b25edc941002 · outbound

This paper cites Graph transformer for phys- ical rehabilitation evaluation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Graph transformer for phys- ical rehabilitation evaluation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.838534Z

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Observation c57ec8cb-950c-4308-bd67-cd76e0e32268 · outbound

This paper cites Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:19.499325Z

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Observation 40611876-dc04-4238-9fd5-caad3c6ccf9d · outbound

This paper cites Egcn++: A new fusion strategy for ensemble learning in skeleton-based rehabilitation exercise assessment,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Egcn++: A new fusion strategy for ensemble learning in skeleton-based rehabilitation exercise assessment,

Reference 28

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Observation 801420e7-edff-4088-bf5a-9f6efe612bc7 · outbound

This paper cites A review of the evidence underpin- ning the use of visual and auditory feedback for computer technology in post- stroke upper-limb rehabilitation,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering A review of the evidence underpin- ning the use of visual and auditory feedback for computer technology in post- stroke upper-limb rehabilitation,

Reference 29

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Observation 65dc85ed-7770-4235-b737-c2717b800b2f · outbound

This paper cites Finerehab: A multi- modality and multi-task dataset for rehabilitation analysis,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Finerehab: A multi- modality and multi-task dataset for rehabilitation analysis,

Reference 30

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Observation 64de692d-cc18-4de8-8ae3-3e4c352f59c1 · outbound

This paper cites Intellirehabds (irds)—a dataset of physical rehabilitation movements,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Intellirehabds (irds)—a dataset of physical rehabilitation movements,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:18.684477Z

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Observation e46788e6-7f9b-40ba-be62-631ffdc58bce · outbound

This paper cites Prompt engineering paradigms for medical applications: Scoping review,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Prompt engineering paradigms for medical applications: Scoping review,

Reference 32

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Observation 801fe0b6-7143-4903-a44f-c01c04eba680 · outbound

This paper cites Language models are few-shot learners,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Language models are few-shot learners,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:18.294364Z

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Observation 386daf4a-f2c2-407a-b7d1-c888dcb1c622 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering LLaMA: Open and Efficient Foundation Language Models

Reference 34

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This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 35

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This paper cites Cycles of Thought: Measuring LLM Confidence through Stable Explanations.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Cycles of Thought: Measuring LLM Confidence through Stable Explanations

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Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Chain-of-thought prompting elicits reasoning in large language models,

Reference 37

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Observation 26b2fe8a-ed10-453b-864f-2fb5a3ebb80b · outbound

This paper cites Probabilistic medical predictions of large language models,.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Probabilistic medical predictions of large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:17.953895Z

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Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Role play with large language mod- els,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:17.772975Z

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Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Gpt-4o announcement,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:17.561887Z

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Observation 5dd206a4-0bde-42cc-9853-86c454382b9c · outbound

This paper cites Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Reference 41

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Pith citing papers

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