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Paper Citation Record · LEDGER

How can AI reduce wrist injuries in the workplace?

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.24510.

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

pith.paper-citation-record.v1
2505.24510 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:05.415108Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f806a22-14b0-4b1c-9ab1-dfea73a9c2b7 · outbound

This paper cites an unresolved cited work.

How can AI reduce wrist injuries in the workplace? Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-07T12:24:12.339005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:03.078791Z digest=sha256:e949d1f08006d51401434ef66142ebdfeaacc13a9c90e4ef3d2663be4ac2a22d

Observation c2563ab1-5414-48bd-93ab-e41264eba9b1 · outbound

This paper cites an unresolved cited work.

How can AI reduce wrist injuries in the workplace? Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-07T12:24:12.199829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:03.147920Z digest=sha256:6d93319f3e182c1bf34f2c1100b98c415afb78d732e938253f6d4b3b5206c5be

Observation cf8e608b-1111-423e-a54e-0c24dfbbd8e0 · outbound

This paper cites 3.1 EMG Pre-processing The electromyographic signal is inherently noisy, so it undergoes pre -treatment before use.

How can AI reduce wrist injuries in the workplace? 3.1 EMG Pre-processing The electromyographic signal is inherently noisy, so it undergoes pre -treatment before use

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:11.686770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df5330ec-6561-403b-a8e6-2b9c732f0149 · outbound

This paper cites Instead of more advanced neural networks or deep learning techniques, machine learning has been preferred and considered more efficient due to limited experimental data [19].

How can AI reduce wrist injuries in the workplace? Instead of more advanced neural networks or deep learning techniques, machine learning has been preferred and considered more efficient due to limited experimental data [19]

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:11.453433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7297d2d5-6206-409d-9f82-6a7c6d9a7031 · outbound

This paper cites For FE, MdAPE is below 5% with eight channels and around 9% with three.

How can AI reduce wrist injuries in the workplace? For FE, MdAPE is below 5% with eight channels and around 9% with three

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:11.299150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:03.488861Z digest=sha256:ccb098801df47c804ac5163fa4346af2ecd975aae6f119e3441a989accc7d939

Observation 9d7bc4d0-23c9-4cea-b96f-0d69cadb7509 · outbound

This paper cites an unresolved cited work.

How can AI reduce wrist injuries in the workplace? Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-07T12:24:11.997888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 41814768-ca1b-47e2-a6f9-682a27512e87 · outbound

This paper cites an unresolved cited work.

How can AI reduce wrist injuries in the workplace? Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-07T12:24:11.156109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 92fa1e15-5208-4b89-b291-35592ec7dbc3 · outbound

This paper cites Mechanical designs of active upperlimb exoskeleton robots: State -of-the-art and design difficulties,.

How can AI reduce wrist injuries in the workplace? Mechanical designs of active upperlimb exoskeleton robots: State -of-the-art and design difficulties,

Reference 8

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raw_fallback, observed 2026-08-07T12:24:10.877444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f8941ff5-d4a3-4c65-9009-f9f177720b04 · outbound

This paper cites Robotic exoskeletons: a review on development,.

How can AI reduce wrist injuries in the workplace? Robotic exoskeletons: a review on development,

Reference 9

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raw_fallback, observed 2026-08-07T12:24:10.717618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:03.749447Z digest=sha256:d90ebab0c92476239fa00900743bd2ddcdc4c61717fc4959353e9ba3c423e44d

Observation da8aa5e5-71af-495c-8395-b84c0b1ab29b · outbound

This paper cites State of the art in wearable wrist exoskeletons part i: Background needs and design requirements,.

How can AI reduce wrist injuries in the workplace? State of the art in wearable wrist exoskeletons part i: Background needs and design requirements,

Reference 10

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raw_fallback, observed 2026-08-07T12:24:10.527641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:03.856333Z digest=sha256:39969313170bb95d4fa2e92092b22f3952d7aa7c67fb2dc8dd811817600d4fb6

Observation 3d166f11-1320-4913-871e-1820f3257921 · outbound

This paper cites State of the art in wearable wrist exoskeletons part ii: A review of commercial and research devices,.

How can AI reduce wrist injuries in the workplace? State of the art in wearable wrist exoskeletons part ii: A review of commercial and research devices,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:09.764121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aeecae8f-66e8-4104-95c3-089049303b97 · outbound

This paper cites State-of-the-art robotic devices for wrist rehabilitation: Design and control aspects,.

How can AI reduce wrist injuries in the workplace? State-of-the-art robotic devices for wrist rehabilitation: Design and control aspects,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:09.301026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f17d4912-7f6f-4b5b-a9e6-f2bd41e81ef3 · outbound

This paper cites A model -free deep reinforcement learning approach for control of exoskeleton gait patterns,.

How can AI reduce wrist injuries in the workplace? A model -free deep reinforcement learning approach for control of exoskeleton gait patterns,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:08.998160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1abf9768-999e-4a70-b93b-a02b2967cced · outbound

This paper cites Deep learning based motion prediction for exoskeleton robot control in upperlimb rehabilitation,.

How can AI reduce wrist injuries in the workplace? Deep learning based motion prediction for exoskeleton robot control in upperlimb rehabilitation,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:08.641063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c29a5aba-3c4a-4f9c-b1ae-a2c646803770 · outbound

This paper cites Surface emg pattern recognition for real -time control of a wrist exoskeleton,.

How can AI reduce wrist injuries in the workplace? Surface emg pattern recognition for real -time control of a wrist exoskeleton,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:07.986249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation af8073b2-0ae3-408f-88b5-d326ce17a5aa · outbound

This paper cites Deep learning for electromyographic hand gesture signal classification using transfer learning,.

How can AI reduce wrist injuries in the workplace? Deep learning for electromyographic hand gesture signal classification using transfer learning,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:07.783113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:04.400500Z digest=sha256:15bf601e25ba99c5f57ef801dfa8565d43482f078dd9bca952ea85dca42e496e

Observation 4f4de029-b977-4f2f-946c-99d08708e909 · outbound

This paper cites Multi -day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics,.

How can AI reduce wrist injuries in the workplace? Multi -day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:07.596588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:04.525770Z digest=sha256:739c114427e01a651fae0ca8c00a51ee2dc859874c6aaa88482bed66ba808a1e

Observation c7d6f9eb-7178-4bf9-ba4a-96829b49df28 · outbound

This paper cites Simultaneous semg classification of hand/wrist gestures and forces,.

How can AI reduce wrist injuries in the workplace? Simultaneous semg classification of hand/wrist gestures and forces,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:07.388255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 80b6aafa-103c-4dd5-a161-a4d5ad756ae5 · outbound

This paper cites Simultaneous estimation of grip force and wrist angles by surface electromyography and acceleration signals,.

How can AI reduce wrist injuries in the workplace? Simultaneous estimation of grip force and wrist angles by surface electromyography and acceleration signals,

Reference 19

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raw_fallback, observed 2026-08-07T12:24:07.215502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6872b88a-502c-4dd0-a855-77980e2e0eb2 · outbound

This paper cites Graph-driven simultaneous and proportional estimation of wrist angle and grasp force via highdensity emg,.

How can AI reduce wrist injuries in the workplace? Graph-driven simultaneous and proportional estimation of wrist angle and grasp force via highdensity emg,

Reference 20

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raw_fallback, observed 2026-08-07T12:24:07.036592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c6457443-5f62-499c-a5be-74dd893379d1 · outbound

This paper cites The eu general data protection regulation (gdpr): European regulation that has a global impact,.

How can AI reduce wrist injuries in the workplace? The eu general data protection regulation (gdpr): European regulation that has a global impact,

Reference 21

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raw_fallback, observed 2026-08-07T12:24:06.877059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4e3854ce-b3c9-4cd7-9549-cc0aa5453e13 · outbound

This paper cites Feature selection based on mutual information criteria of max-dependency, max- relevance, and minredundancy,.

How can AI reduce wrist injuries in the workplace? Feature selection based on mutual information criteria of max-dependency, max- relevance, and minredundancy,

Reference 22

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raw_fallback, observed 2026-08-07T12:24:06.720068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:04.895159Z digest=sha256:da71985a70b3ee80bfa1c8ac9ba584b76190cb77151ab35c397039eed45b2a08

Observation 19d8c6a6-9017-4bd8-a21d-ddfe7517aa1a · outbound

This paper cites Reduce surface electromyography channels for gesture recognition by multitask sparse representation and minimum redundancy maximum relevance,.

How can AI reduce wrist injuries in the workplace? Reduce surface electromyography channels for gesture recognition by multitask sparse representation and minimum redundancy maximum relevance,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:06.533447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:04.961451Z digest=sha256:2172d6b2de90fce7515e87b489a53374dd85a580e0a631550780c9bff85819c6

Observation a9704d3a-fb1e-4dd7-9ab4-435564cc4316 · outbound

This paper cites Feature selection and reduction of lower limb activity recognition based on surface electromyography and motion data,.

How can AI reduce wrist injuries in the workplace? Feature selection and reduction of lower limb activity recognition based on surface electromyography and motion data,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:24:06.362739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:05.028728Z digest=sha256:ae0d582dea0b4644603b44f1df91c9e45464f018beccaf717f0bf79925304e04

Observation 9e4920b1-2b62-49da-8045-d12aee73bfd6 · outbound

This paper cites Evaluation of emg feature extraction for hand movement recognition based on euclidean distance and standard deviation,.

How can AI reduce wrist injuries in the workplace? Evaluation of emg feature extraction for hand movement recognition based on euclidean distance and standard deviation,

Reference 25

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raw_fallback, observed 2026-08-07T12:24:06.163659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:05.120221Z digest=sha256:b8b3e5195977dccea1f2a014feb72b348281fe538c7bbd651063679405fe1842

Observation ebc073b6-e086-4081-8c2c-87cc707720eb · outbound

This paper cites Pca methods and evidence based filtering for robust aircraft sensor fault diagnosis,.

How can AI reduce wrist injuries in the workplace? Pca methods and evidence based filtering for robust aircraft sensor fault diagnosis,

Reference 26

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raw_fallback, observed 2026-08-07T12:24:05.946617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:05.210903Z digest=sha256:d20d6b159f0c545ed8d0dd9484771ef3ea96dbf027dab59f5e52ec041e4aba62

Observation fa87f247-8b59-4eb1-8c25-511453c7d033 · outbound

This paper cites Data -driven fault diagnosis techniques: Non-linear directional residual vs. machine-learning-based methods,.

How can AI reduce wrist injuries in the workplace? Data -driven fault diagnosis techniques: Non-linear directional residual vs. machine-learning-based methods,

Reference 27

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raw_fallback, observed 2026-08-07T12:24:05.780905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:24:05.308766Z digest=sha256:29d0911bcc9ac1c4db1278cdef5faed151146cccdb38ddb0aaffececd89ccacf

Observation e61e8ba2-81ef-47ad-871e-98661c4989ea · outbound

This paper cites An algorithm for finding best matches in logarithmic expected time,.

How can AI reduce wrist injuries in the workplace? An algorithm for finding best matches in logarithmic expected time,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T12:24:05.615912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.