Paper Citation Record · LEDGER

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2508.08280.

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

pith.paper-citation-record.v1
2508.08280 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:15:33.304753Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:27:42.014813Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:27:42.078423Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9493c167-50ec-4368-a1f8-50232e88db2d · outbound

This paper cites L.; et al.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder L.; et al

Reference 1

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Source-reported events for the cited work

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Observation c5fed856-d0fa-4e91-8c01-44a10e7a24df · outbound

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

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

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Source-reported events for the cited work

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Observation 4220eb6d-c6df-4edb-b327-912108478ba0 · outbound

This paper cites AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77275a30-6fd0-4141-ad36-67b31bf61450 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 4

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Observation 6dd4e603-5b2d-45ff-8a83-52cee1820944 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation c53dd723-651e-456e-b76e-5c10a503f5e0 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation faf36f11-30ad-42a2-b161-5637efd95f0b · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf985aa7-e8f2-4dc5-a715-640605ec2bab · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:15:33.963887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f16226b7-d0e3-46dc-8564-9aac4b4bdcf8 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation dd2f4670-a5f8-40bf-8ca0-54412f5a6061 · outbound

This paper cites DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

Reference 10

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Observation 744834d0-fad1-43e1-843d-357a620fad6f · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation c18a7735-4f4a-48e9-84e1-bd6301268d5e · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 7aa472e5-f0e1-41aa-991b-c2ab893ded53 · outbound

This paper cites Time-Series Representation Learning via Temporal and Contextual Contrasting.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Time-Series Representation Learning via Temporal and Contextual Contrasting

Reference 14

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This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation ed17d033-9252-4fc9-ba6f-e1fd72b958c0 · outbound

This paper cites Deep learning for time series classification.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Deep learning for time series classification

Reference 16

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Observation 643f2cba-a943-4722-98ab-27503682ceb4 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation ce1b32c6-6d49-4b4a-84d6-4db48bb8bf0d · outbound

This paper cites L.; Amaral, L.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder L.; Amaral, L

Reference 18

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Observation daf88618-1aee-4531-9bba-1994bde483ac · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 19

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Observation 91fd7c7b-9450-4eda-9b3b-120e7927fb10 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 20

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This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 21

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This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 22

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 23

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Observation 5f94ffa8-9226-40c1-894e-bcb40fe38639 · outbound

This paper cites V.; and Zhang, Z.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder V.; and Zhang, Z

Reference 24

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 25

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Observation c0d083e1-a500-49ab-9534-dc5ee7ca9b07 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 26

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Observation 91cfde1c-c9e8-41bf-bcf5-a47275bc2543 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder H.; Ngo, B

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:15:33.775154Z

Source-reported events for the cited work

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Observation e56fd179-5191-4cf1-9922-2e4c1e5b5391 · outbound

This paper cites R.; Weiss, G.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder R.; Weiss, G

Reference 28

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Observation f31288be-788b-4e6d-b4cc-e1a53b712012 · outbound

This paper cites K.; Zimmer, D.; and Sextro, W.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder K.; Zimmer, D.; and Sextro, W

Reference 29

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Observation e32ed751-321c-44e3-813c-3a095cf3efd4 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 30

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Observation 7f768598-f423-4d54-8c7d-bbc91e7143be · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 31

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Observation e02e3ff6-fa2e-44c5-81f2-5e58dd196605 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 32

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Observation eca62e32-7401-41d8-93bc-3fe4129c417e · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 33

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Observation 98d1133c-917a-47d0-bb63-75a5e4065e42 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 34

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Observation a11e445b-26db-4a1b-95f0-b3109df0578c · outbound

This paper cites Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency

Reference 35

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Observation 413cee40-cc20-4a71-99cf-c19aeb355222 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 36

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Source-reported events for the cited work

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This paper cites L.; Foo, C.-S.; Chen, Z.; Wu, M.; Kwoh, C.-K.; and Li, X.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder L.; Foo, C.-S.; Chen, Z.; Wu, M.; Kwoh, C.-K.; and Li, X

Reference 37

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Source-reported events for the cited work

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Observation 15104c7c-e44f-44d2-8503-53479c7b4a30 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 38

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Source-reported events for the cited work

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Observation e6a7f6b9-e115-489c-9ef2-f52b3f3753a4 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 39

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Source-reported events for the cited work

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Observation 8efb71b0-5203-4536-94f3-88efa0e0a5f1 · outbound

This paper cites A DIRT-T Approach to Unsupervised Domain Adaptation.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder A DIRT-T Approach to Unsupervised Domain Adaptation

Reference 40

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Observation 0006eda9-9388-48b0-91d0-c73c314647d2 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation bfd1254c-9304-4f74-8b4a-3c141396a159 · outbound

This paper cites S.; Kj rgaard, M.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder S.; Kj rgaard, M

Reference 42

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Observation 9e177f8e-c8c0-4f49-b301-e2934a1bb67c · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation b3cb9a80-987f-4c3d-967c-903ae2b57264 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 44

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Observation d8a58ac2-b618-4eca-a9b7-682d2ec20408 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 45

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Observation d1dd345f-3033-4b9c-8f6c-f96e399ba923 · outbound

This paper cites I.; Samek, W.; and Schaeffter, T.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder I.; Samek, W.; and Schaeffter, T

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:15:33.558501Z

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Observation 701930c0-d8db-4b5b-98cc-004f6dc224eb · outbound

This paper cites R.; and Cook, D.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder R.; and Cook, D

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:15:33.544530Z

Source-reported events for the cited work

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Observation 078e24a7-cd9b-490e-9e19-7093eb0c48a2 · outbound

This paper cites Q.; Chao, W.-L.; and Lim, S.-N.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Q.; Chao, W.-L.; and Lim, S.-N

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:15:33.530723Z

Source-reported events for the cited work

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Observation 8f192075-2848-4bb6-8235-a2848fbefa0e · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 49

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Source-reported events for the cited work

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Observation a316d788-e809-4882-a6ed-2e07cd5c9718 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder mixup: Beyond Empirical Risk Minimization

Reference 50

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Observation 6b9e8f2a-1ecf-46dc-b137-eff3af919f62 · outbound

This paper cites an unresolved cited work.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:15:33.503959Z

Source-reported events for the cited work

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Observation 00cb910e-b871-4cd1-bd97-1aea01f2fa30 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder , " * write output.state after.block = add.period write newline

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Observation 440dc626-3da8-4c4f-b3b5-1edea50284d4 · outbound

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MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder write newline

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Resolution: unresolved; no resolver link, observed 2026-08-06T10:15:33.304753Z

Source-reported events for the cited work

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Pith citing papers

Observation d2f7dd37-84e6-4290-9c7e-108002868a07 · inbound

emg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands cites this paper.

emg2tendon: From sEMG Signals to Tendon Control in Musculoskeletal Hands MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:27:42.088909Z

Source-reported events for the cited work

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