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Paper Citation Record · LEDGER

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding?

As of 24 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.31043.

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

pith.paper-citation-record.v1
2605.31043 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:19:26.449728Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c59c07da-0282-4b98-bbe6-c733309acd4a · outbound

This paper cites Multiclass brain-computer interface classification by Riemannian geometry.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Multiclass brain-computer interface classification by Riemannian geometry

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:4ce61e0d47daabcfaab452839426ef17ef0be68cdc49eb4ae121571d16039151

Observation 6b0d46f3-257c-4346-8b96-8531bbb4c40a · outbound

This paper cites Optimizing spatial filters for robust EEG single-trial analysis.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Optimizing spatial filters for robust EEG single-trial analysis

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 30c1e0d8-e277-4cfc-8d55-2a400adbae68 · outbound

This paper cites Riemannian batch normalization for SPD neural networks.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Riemannian batch normalization for SPD neural networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:5503ff44748a9ec7186cfff9e33be2a092c93a0ad113df34a996a02798b50642

Observation cc1fe8b1-e06a-4599-a73b-7bdebf8d8bd3 · outbound

This paper cites A., and Smith, S.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? A., and Smith, S

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:7e23dfb87aba9dc346302bb0e28b3fbdfb21dd8b8831b15e5127eda2e2fddf59

Observation 1a0e250c-ac26-4e8a-9391-089da4a445f7 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:351c6dc7566c420803750c8dc790ffd302186ec7e501f145dfe6bbca07c6944a

Observation c138ab83-4c77-4451-b47d-97dfc8a0b2ed · outbound

This paper cites and Van Gool, L.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? and Van Gool, L

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:3e1447e56889e43a752413160f20fa0ae217e152292255655463b94e58405fdd

Observation 96897888-f5c8-4af8-b516-710457e0cf7e · outbound

This paper cites J., Hirayama, J.-I., Zhao, Q., and Kawanabe, M.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? J., Hirayama, J.-I., Zhao, Q., and Kawanabe, M

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:a4e16010536c6dacc151367f077f38d7d1340a3ae8b36aea05e19e0df7927903

Observation 98f11997-25ec-4284-b091-21a93e6f3ba5 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:9576485fb4c0e0afcd888e6c31573b4351ea28e99c7c836a3003e1bb69255f90

Observation fa4bc78d-9cd2-40cb-b8aa-3179a9be7291 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:088f0bee61845f00f56dac124be1a0fbcf8989d4feff39e5fe4431c068affce0

Observation 3737d42a-a37d-4e29-ad56-a52f630b5efd · outbound

This paper cites Faller, C.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Faller, C

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:d1159875fab84c5d523a79fea8da35d88579a143d1c03351d6b25748e9f81359

Observation a2081cd8-dfd1-4970-bff8-5a309abf7d17 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:237f7ab9ff6992bc26f3174811ef1ac33327039b709a80f29369d84a276e573c

Observation 4c4246bd-27cc-40c1-b85f-558ab2f47d1e · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:6eeaba2ae39ba25081697e48e5dbc3c013b52b3e2f766c9e15e7a17a09e0e39d

Observation c8c37f73-c908-4be8-857f-a125e2b4b729 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:85db5a8f7e1a58174d09125c77df9d53aaab05b84c5ec0e84ba7768c64556551

Observation 9cd36377-ca6f-432b-a447-9f13415e3248 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:ba6783fe3d8d3bca439dc0863dcb3f59c45c05f7d553cd5d43234524c0e2842b

Observation abbe61c6-d0cb-446d-ba11-e313640c60c3 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:2c750effe48d5bd9a40e60b3e0743b5c1e2298f8b7c649aac078aa45b8a90e28

Observation 8f00c385-993b-4b48-9e90-600987a19a29 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:16:12.234502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:81486f2cf069c8a53b0f3c649445009f9181de790e2135cdea4b90d5d4bf5d82

Observation 0e17ad58-11f1-4d20-be51-1d20bb3674cb · outbound

This paper cites Evaluation of EEG oscillatory patterns and cognitive process during simple and compound limb motor imagery.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Evaluation of EEG oscillatory patterns and cognitive process during simple and compound limb motor imagery

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:a1d274167866d10bdcd7401074cb4c172b9adb5bbcf594e7f7829bf078925432

Observation 9e4251ce-e95f-4402-bb46-0898287bdbbe · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? PyTorch: An imperative style, high-performance deep learning library

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:c4132039ef945cd53a85c9dedc30716a531e0d3f2eb3d9eaad85e6d45e858682

Observation 897db7db-d8f0-4ca7-ada0-c9d1153ed8ee · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5af5db25-598c-42bf-b302-837851c4e783 · outbound

This paper cites Optimization Algorithms on Matrix Manifolds.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Optimization Algorithms on Matrix Manifolds

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:a35722475aa0e0a2bd5bc82e32e676562ddeec1b0e03d365cf0d031c73c6e60b

Observation 5088bddc-8e8d-4762-8559-e19a072dadd5 · outbound

This paper cites an unresolved cited work.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:e88ca2679259ecd8b46532b3074528c3fbebda6a47b9de09b1ea19daf988bb7c

Observation 857ba51f-2aae-47d8-9689-f9e0d83bed7f · outbound

This paper cites SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-08-11T03:20:52.169798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:a0661911146280dd6944f40720e0f37990e9298e1237f98c1b50b4c9a149ff6c

Observation 2c47a3b6-a968-4f27-87ce-a4131d5c299e · outbound

This paper cites ARMAGNAC: A New Parametric Batch Normalization Layer for SPDNet Architecture.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? ARMAGNAC: A New Parametric Batch Normalization Layer for SPDNet Architecture

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T21:19:26.449728Z digest=sha256:a0437dc905a290ebfa6fdb0353ed12991cb6eb3994a4fa710905ea53e41d5118

Observation 12c1734b-a569-40a0-a796-53ed8d6deda7 · outbound

This paper cites A Riemannian framework for tensor computing.

Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding? A Riemannian framework for tensor computing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T21:19:26.449728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.