Paper Citation Record · LEDGER

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.04820.

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

pith.paper-citation-record.v1
2607.04820 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T13:01:29.465785Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49301c66-8acf-44e1-9249-6e48f12890b6 · outbound

This paper cites Atzori, M., Gijsberts, A., Castellini, C., Caputo, B., Hager, A.-G.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Atzori, M., Gijsberts, A., Castellini, C., Caputo, B., Hager, A.-G

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ab180a-d6f6-4797-ad33-bbf60aaaf151 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dfdb197-241e-4e54-8c7f-799aa9277d4b · outbound

This paper cites A simple framework for contrastive learning of visual rep- resentations.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning A simple framework for contrastive learning of visual rep- resentations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc481a0-10cb-45c2-9b06-f13cfd74e960 · outbound

This paper cites Cpep: Contrastive pose-emg pre-training enhances gesture generalization on emg signals.arXiv preprint arXiv:2509.04699,.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Cpep: Contrastive pose-emg pre-training enhances gesture generalization on emg signals.arXiv preprint arXiv:2509.04699,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ac8a50-34bd-459a-ba83-4b689e214113 · outbound

This paper cites Radford, A., Kim, J.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Radford, A., Kim, J

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce6bef16-0d4b-4bdc-a1f6-0956ee126e2e · outbound

This paper cites an unresolved cited work.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f2661f8-cc2d-493b-a9c1-24099085ec7d · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Representation Learning with Contrastive Predictive Coding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc8d120-b985-4591-8040-3a496c8300b4 · outbound

This paper cites Motion capture data was recorded with a Cyberglove II - a motion capture glove that contains 18 joint-angle measurement sensors, distributed as shown in Figure 6b.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Motion capture data was recorded with a Cyberglove II - a motion capture glove that contains 18 joint-angle measurement sensors, distributed as shown in Figure 6b

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d921313-d18e-47d6-95ae-dfe73be545ae · outbound

This paper cites In this transformation, the 18 calibrated measurements of the dataglove (x∈R.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning In this transformation, the 18 calibrated measurements of the dataglove (x∈R

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cde4e7f-817a-4163-8618-2475b5e62fa2 · outbound

This paper cites The DoA correspond to the movement of the five fingers: y1 , thumb rotation; y2, thumb flexion; y3, index flexion; y4, middle flexion; y5, ring/little finger flexion.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning The DoA correspond to the movement of the five fingers: y1 , thumb rotation; y2, thumb flexion; y3, index flexion; y4, middle flexion; y5, ring/little finger flexion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b36e082-9596-4dc0-bb60-51728c9af87d · outbound

This paper cites an unresolved cited work.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf320b9a-87d3-4be0-8060-0a79c2d2d6ba · outbound

This paper cites Seasonal components were not modelled, as the DoA signal has no fixed periodic structure.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Seasonal components were not modelled, as the DoA signal has no fixed periodic structure

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc534b3-62b4-44c7-ae73-eecffecdb768 · outbound

This paper cites an unresolved cited work.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb8ca00-14f6-4fc8-9871-88b02cd16ba1 · outbound

This paper cites It has shown strong performance for neural data, and is thus a relevant baseline for our work.

KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning It has shown strong performance for neural data, and is thus a relevant baseline for our work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T13:01:29.465785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.