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Paper Citation Record · LEDGER

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare

As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2412.06815.

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

pith.paper-citation-record.v1
2412.06815 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:26:16.973401Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:21:02.714413Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved13
  • parse uncertain0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ee2aa158-f11b-40b2-955e-c7aa3afdc6e4 · outbound

This paper cites scissors,.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare scissors,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3685d51b-0a91-418b-a41e-79453830493d · outbound

This paper cites Block-Term Tensor Regression Block-Term Tensor Regression (BTTR) decomposes the input tensor into block components, facilitating ef- ficient regression on high-dimensional data.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Block-Term Tensor Regression Block-Term Tensor Regression (BTTR) decomposes the input tensor into block components, facilitating ef- ficient regression on high-dimensional data

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d9d820a-68fc-484b-a742-d4bc701fa4a9 · outbound

This paper cites an unresolved cited work.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2bb0c901-8d3c-4000-b9fb-1f2a9786227b · outbound

This paper cites Our results show that FBTTR outperforms the other models, demonstrating its effectiveness in predicting finger movements from ECoG signals.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Our results show that FBTTR outperforms the other models, demonstrating its effectiveness in predicting finger movements from ECoG signals

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f321f03-cf07-445a-a0d1-ec4cb4f9cde4 · outbound

This paper cites Accurate offline asynchronous detection of individual finger movement from intracranial brain signals using a novel multiway approach.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Accurate offline asynchronous detection of individual finger movement from intracranial brain signals using a novel multiway approach

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d090bdaf-c13a-4d58-b487-9be41ea1aa9d · outbound

This paper cites For each SNR value, the associated optimal τ is computed as τ ∗ = argmin τ BIC (τ, SNR).

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare For each SNR value, the associated optimal τ is computed as τ ∗ = argmin τ BIC (τ, SNR)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 37220950-93fa-4117-aa05-ab1fac4cf660 · outbound

This paper cites Higher order partial least squares (hopls): a generalized multilinear regression method.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Higher order partial least squares (hopls): a generalized multilinear regression method

Reference 7

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fc101682-9fc1-4eb3-92ef-2bbf0312778d · outbound

This paper cites Penalized multi- way partial least squares for smooth trajectory decoding from electrocorticographic (ecog) recording.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Penalized multi- way partial least squares for smooth trajectory decoding from electrocorticographic (ecog) recording

Reference 8

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ab3f0d87-c793-4b8e-82cb-cef1452cd1a1 · outbound

This paper cites An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration

Reference 9

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 814ebcde-09cf-4579-9c73-5ac30f13a11d · outbound

This paper cites Walking naturally after spinal cord injury using a brain–spine interface.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Walking naturally after spinal cord injury using a brain–spine interface

Reference 10

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4738f3a0-342d-49ac-a331-4ffc2f05f96e · outbound

This paper cites Single finger trajectory prediction from intracranial brain activity using block-term tensor regression with fast and automatic component extraction.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Single finger trajectory prediction from intracranial brain activity using block-term tensor regression with fast and automatic component extraction

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 84d501d1-3968-4d94-902b-892e2bdde6fa · outbound

This paper cites Rapid decoding of hand gestures in electrocorticography using recurrent neural networks.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Rapid decoding of hand gestures in electrocorticography using recurrent neural networks

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9db83f92-bbae-4000-b208-4da2daa0146d · outbound

This paper cites Finger movement and coactivation predicted from intracranial brain activity using extended block-term tensor regression.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Finger movement and coactivation predicted from intracranial brain activity using extended block-term tensor regression

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9953c51f-96b1-493d-b6ba-d35d4bc18cd5 · outbound

This paper cites Recent advances on federated learning: A systematic survey.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Recent advances on federated learning: A systematic survey

Reference 14

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Source-reported events for the cited work

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Observation ccdc3f3d-9200-4fd1-b938-93d47984f464 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 15

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Observation 728de5c1-6a7a-4719-9328-c59ecdae30e1 · outbound

This paper cites Towards federated learning at scale: System design.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Towards federated learning at scale: System design

Reference 16

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Source-reported events for the cited work

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Observation bec006c7-c27c-4bc2-b9d6-2a51cadbc1f8 · outbound

This paper cites Differen- tially private federated learning: A client level perspec- tive.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Differen- tially private federated learning: A client level perspec- tive

Reference 17

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f30bdf70-4a64-4d6c-984e-ac83817e4141 · outbound

This paper cites Deep learning with differential privacy.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Deep learning with differential privacy

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation de9dde2a-e006-46e7-a81d-b380d06ad381 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare A hybrid approach to privacy-preserving federated learning

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9ccee214-d674-43e6-b722-14a6290f3b74 · outbound

This paper cites Advances and Open Problems in Federated Learning.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Advances and Open Problems in Federated Learning

Reference 20

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Observation 2fa80ec8-3af8-4a14-bd51-26ab46e18dab · outbound

This paper cites Federated machine learning: Concept and applications.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Federated machine learning: Concept and applications

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 99e90b96-a964-4a4e-b4fb-292050e698a7 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Federated Learning for Mobile Keyboard Prediction

Reference 22

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Observation 946138ac-5bf0-4172-96d9-01d46974781e · outbound

This paper cites Federated learning in medicine: facilitating multi- institutional collaborations without sharing patient data.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Federated learning in medicine: facilitating multi- institutional collaborations without sharing patient data

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4d7a28db-ddae-4dc7-a7ed-eb214a04b870 · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Federated learning: Challenges, methods, and future directions

Reference 24

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Observation 58340815-6d56-4c7c-9b84-376d126876bc · outbound

This paper cites Nguyen Duy, M.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Nguyen Duy, M

Reference 25

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 50889117-26c8-463d-9426-ddf0c96ca6b8 · outbound

This paper cites Hartebrodt, R.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Hartebrodt, R

Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7e89a46d-083f-43f8-bdd1-cedd730152b8 · outbound

This paper cites Grammenos, R.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Grammenos, R

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f75b762b-970b-49c3-a33e-af8655df5772 · outbound

This paper cites Towards federated multivariate statistical process control (FedMSPC).

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Towards federated multivariate statistical process control (FedMSPC)

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e334c46d-b9d1-4a88-870d-915645cc9771 · outbound

This paper cites an unresolved cited work.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f7f2e26a-0c41-4345-9cf2-a2384249cfeb · outbound

This paper cites an unresolved cited work.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba02ceca-671c-4834-b73f-0feb9f4ef8d3 · outbound

This paper cites A Survey on Vertical Federated Learning: From a Layered Perspective.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare A Survey on Vertical Federated Learning: From a Layered Perspective

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.845450Z digest=sha256:79dbdec476eee45893c1f557e7a66e17831e580e5d766df2276023682d594746

Observation a5291e12-260f-44be-a174-aa3816299461 · outbound

This paper cites https://www.who.int/news-room/ fact-sheets/detail/spinal-cord-injury.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare https://www.who.int/news-room/ fact-sheets/detail/spinal-cord-injury

Reference 32

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raw_fallback, observed 2026-08-12T04:26:17.483486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.850050Z digest=sha256:dceddd390a76979d73dfdb81b4383cd8f68f0c81958a2b704be639a25e53ce0b

Observation 659b170d-6048-4b1c-a87d-7b71fc038c9a · outbound

This paper cites Mobile interaction for augmentative and alternative communication: A systematic mapping.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Mobile interaction for augmentative and alternative communication: A systematic mapping

Reference 33

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raw_fallback, observed 2026-08-12T04:26:17.468695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.855314Z digest=sha256:0e5c09b999cba6e541ca8af31b83b9112cd12f76f50339e2e3a04f90cdebca19

Observation b8e48844-32c2-43c6-8e90-17e4432b56ce · outbound

This paper cites Neuronal ensemble control of prosthetic devices by a human with tetraplegia.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Neuronal ensemble control of prosthetic devices by a human with tetraplegia

Reference 34

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no resolver link, observed 2026-08-12T04:26:16.859745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.859745Z digest=sha256:a81f110794c35806bb1ca961eb2b18bef59765155c6fdc43c21ea8804a8e613c

Observation e773e0ec-805f-4931-8f57-3caca6b3c421 · outbound

This paper cites High-performance neuroprosthetic control by an individual with tetraplegia.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare High-performance neuroprosthetic control by an individual with tetraplegia

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T04:26:16.864221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.864221Z digest=sha256:012b4a4156cb44764cf6ddc6db2193b358218eb9359bd952aec33ebe52044dda

Observation 8fd95143-fdf4-4afe-a6a3-c9ed59cf2f7f · outbound

This paper cites Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.434863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.868700Z digest=sha256:aad114d30b5fefe82fec4dc793f727e983dc044e5111e85bf1dee99ba3f4c6ff

Observation 5c2d49d8-f9cd-47f7-af22-557b1946e9e0 · outbound

This paper cites Ten-dimensional anthropomorphic arm control in a human brain- machine interface: difficulties, solutions, and limitations.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Ten-dimensional anthropomorphic arm control in a human brain- machine interface: difficulties, solutions, and limitations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.420953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.873217Z digest=sha256:806a9bfb10a46eeff943b3e5745964271b2f8350146ace524e3ea812b7f57863

Observation 66768add-24eb-4b0e-a841-7974a46595fd · outbound

This paper cites Power-law scaling in the brain surface electric potential.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Power-law scaling in the brain surface electric potential

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.406716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.877576Z digest=sha256:7bf910b08a34027b1353195882a8a4531ad1618c3a93faae13b116a32ea08c02

Observation f848033b-1c0d-42b5-b940-6c7726b993ec · outbound

This paper cites Quantitative analysis of high-frequency oscillations (80–500 hz) recorded in human epileptic hippocampus and entorhinal cortex.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Quantitative analysis of high-frequency oscillations (80–500 hz) recorded in human epileptic hippocampus and entorhinal cortex

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.391820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.882105Z digest=sha256:4d185f19b1aa24d292e8c904f58577ff9e87be559042a348914a0d3fce08e9a9

Observation ed83d098-8f3b-4ef3-a22d-0b66eddd3588 · outbound

This paper cites An electrocortico- graphic brain interface in an individual with tetraplegia.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare An electrocortico- graphic brain interface in an individual with tetraplegia

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.376928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.886447Z digest=sha256:eaffbc2feaa99627f0d87697ca79aa4b107d5e4aa3bc2759b1fe7ec9b68a52e3

Observation 5180f09b-556d-4f76-82ae-c51d59e02b0c · outbound

This paper cites Consis- tency of long-term subdural electrocorticography in hu- mans.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Consis- tency of long-term subdural electrocorticography in hu- mans

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.362227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.890792Z digest=sha256:6d61147e6eef7affa86d5332ef5b49ecc65f9fb94b601384af4a3aa95d773db2

Observation 9192bca7-3a23-4109-8b27-981240b7288b · outbound

This paper cites Electrocorticographic (ecog) correlates of human arm movements.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Electrocorticographic (ecog) correlates of human arm movements

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.347096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.895069Z digest=sha256:a68a6a36aa459e97107be7067d51b8dd681c9a617ff6e76cd2aa066af4ca73f2

Observation a164fc19-9d38-47dc-a8bb-d04a9593b2de · outbound

This paper cites Signal quality of simultaneously recorded invasive and non-invasive eeg.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Signal quality of simultaneously recorded invasive and non-invasive eeg

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.332874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.899448Z digest=sha256:681836ef9e56e341cad4d9aaff4fcfad607067a0d981f88590d5736947de0a87

Observation 9e61698a-fb97-4228-a8b8-2f8f3f240573 · outbound

This paper cites Decoding three-dimensional reach- ing movements using electrocorticographic signals in hu- mans.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Decoding three-dimensional reach- ing movements using electrocorticographic signals in hu- mans

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.318339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.904431Z digest=sha256:d106f757304fb2982830cb4d8cef7ac5e8ddbc519cb440e4f7758fac8aa2e9af

Observation 95220adf-f0f4-4486-b0d4-03ada09686e2 · outbound

This paper cites Fully implanted brain–computer interface in a locked- in patient with als.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Fully implanted brain–computer interface in a locked- in patient with als

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.302504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.908877Z digest=sha256:dddf6be4871cb09b3d63f59241d458bcb0fd0d7108ed75583fd263d62e902eb3

Observation 877e4c11-d4e8-4ee3-82d4-47700c58470f · outbound

This paper cites Give me a sign: decoding four complex hand gestures based on high-density ecog.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Give me a sign: decoding four complex hand gestures based on high-density ecog

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.287956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.913233Z digest=sha256:2e92f22ebfafc80d25fc6acb9163947828ca2ae18cc972a43abd18c1544c0f9c

Observation 2bf8d2c2-511f-411a-bc44-4d36f3122a33 · outbound

This paper cites Gesture decoding using ecog signals from human sensorimotor cortex: a pilot study.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Gesture decoding using ecog signals from human sensorimotor cortex: a pilot study

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.274484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.917286Z digest=sha256:99ee1ae7a4e2ba50f1541ffbde2eb196ebacac1f00a2fc278fbeb62f8a340b90

Observation cc1dbdbf-77f1-4e1d-9405-f52de25807ae · outbound

This paper cites Multilinear tensor rank estimation via sparse tucker decomposition.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Multilinear tensor rank estimation via sparse tucker decomposition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.260985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.921619Z digest=sha256:5f6eb534ae18415c4bbd425e8d9528f861f1a5d3d0eee44801c6adaf0b28938c

Observation c685eedf-b4a4-4910-9f03-77265d20f364 · outbound

This paper cites Sparse Federated Block-Term Tensor Regression for decentralised data analysis in healthcare 15 non-negative generalized pca with applications to metabolomics.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Sparse Federated Block-Term Tensor Regression for decentralised data analysis in healthcare 15 non-negative generalized pca with applications to metabolomics

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.247548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.926059Z digest=sha256:80caeb0bcdd93dc8c8da2a6ca4c3d0e549c7619fa46e4bf9d76f2e3f1a330f9b

Observation ddd145fb-cd06-41e5-b213-14bebfd23232 · outbound

This paper cites On the best rank-1 and rank-(r 1, r 2,..., rn) approximation of higher-order tensors.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare On the best rank-1 and rank-(r 1, r 2,..., rn) approximation of higher-order tensors

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.232899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.930649Z digest=sha256:c888791462de17b03166117ecd01eea9858d444509f4573580178f6a1260ca4f

Observation fbd82f0f-f20b-483a-a4e9-8bf8729ef02b · outbound

This paper cites Decoding finger flexion from band-specific ecog signals in humans.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Decoding finger flexion from band-specific ecog signals in humans

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.216977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.934996Z digest=sha256:c024f62593af053245ef3db70981b78ebee0360c7fa70077244097b48a5f22ce

Observation f364f06d-d24e-4e31-a7c3-c8a7433d62a3 · outbound

This paper cites Decoding of finger trajectory from ecog using deep learning.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Decoding of finger trajectory from ecog using deep learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.201969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.939789Z digest=sha256:819db3c6f5f6865889ef8432bd194839eb3c1e58a4afb0baf78ebe95a8224cd7

Observation d05d3f85-f106-466a-9ffd-381760a11b3f · outbound

This paper cites Prediction of finger flexion: 4th brain-computer interface data competition.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Prediction of finger flexion: 4th brain-computer interface data competition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.186904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.944201Z digest=sha256:d112c0940d4446a14fcffa6efbb31e8a47019401187519ca1ce2c4a6fe5a292c

Observation d9cfaf3a-4ebb-40be-9807-6a13492f5dd4 · outbound

This paper cites Clinical neurophysiology: EEG, paediatric neurophysiology, special techniques and applications , volume 2.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Clinical neurophysiology: EEG, paediatric neurophysiology, special techniques and applications , volume 2

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.172180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.948118Z digest=sha256:0e39507ee17a16c956a4785d0cc23637661c81f6c22c6a7986e16fe084ca97c7

Observation 92b2cf9b-8d03-4c21-9f15-039110a4f2ea · outbound

This paper cites Some mathematical notes on three- mode factor analysis.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Some mathematical notes on three- mode factor analysis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.157155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.952316Z digest=sha256:583f72b2d7ff651a1eb192b579455b4b9b07e5d6a55645d58c9a3268ce06ab37

Observation bbb11abb-2763-44c3-a5b2-50d8ef353ddc · outbound

This paper cites Individual comparisons by ranking methods.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Individual comparisons by ranking methods

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T04:26:16.956408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.956408Z digest=sha256:ad15410918ae372c2a67226de27f1f4bd6879c68060e9b578c219a5db4d58db3

Observation 1c829dea-42ae-4c32-9fb8-92588d9368cc · outbound

This paper cites Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.132211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.960509Z digest=sha256:595d97c5547d45579a9135bfb76620f4d451d68ce3113d1beb3a89632579c4bf

Observation 2c1114a7-5dce-44b4-9d80-6f677d39fbad · outbound

This paper cites Accessible ecosystem for clinical research (federated learning for everyone): Development and usability study.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Accessible ecosystem for clinical research (federated learning for everyone): Development and usability study

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:26:17.116526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T04:26:16.964576Z digest=sha256:e5a02f2c0acb8409d5bb03c36fe47e6eb9553cb1c5fe4f61be3738e62fe71929

Observation 2d5aba7c-fc04-447e-864a-d747546a56fd · outbound

This paper cites Adaptive Federated Optimization.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Adaptive Federated Optimization

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T04:26:16.968674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.968674Z digest=sha256:0b56aac47036f9a03459a97e3159a91853d11190e349a7feb72ec68ede988454

Observation 899376c5-120b-4a2c-be63-897e99cfbc1e · outbound

This paper cites Federated optimization in heterogeneous networks.

Federated Block-Term Tensor Regression for decentralised data analysis in healthcare Federated optimization in heterogeneous networks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T04:26:16.973401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:26:16.973401Z digest=sha256:7e81ec6da4e5fb3837584e4e4e6c2699c7f84b5406b24ae946af2244bc97ba2e

Pith citing papers

Observation e9544d68-dd5d-4bd3-aa4d-bd4ddfc39919 · inbound

Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences cites this paper.

Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences Federated Block-Term Tensor Regression for decentralised data analysis in healthcare

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-26T15:19:33.463397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T07:21:02.714413Z digest=sha256:657abf1e75ad6d57a67bf36d35d047a36d3c9bbe624e1e4093d4ec057debfa8f