Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:49.051856Z
Paper Citation Record · LEDGER
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.17961.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
32 of 32 outbound references displayed
- verified exact0
- verified fuzzy20
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 20328aa0-8f31-416f-89e4-379e53cb61d2 · outbound
This paper cites Covertype,.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.441100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8777096e-8fd2-41bc-86c4-aa8d22f85938 · outbound
This paper cites an unresolved cited work.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T11:44:49.384627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 241cd1ba-a6a1-47aa-b318-b22fde44fe3c · outbound
This paper cites A Critique of Self-Expressive Deep Subspace Clustering.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference A Critique of Self-Expressive Deep Subspace Clustering
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:48.978804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebbbfffc-0208-4660-adce-1ed2f6ec3982 · outbound
This paper cites an unresolved cited work.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T11:44:49.348487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f02c1cb9-b173-4a1f-b6fb-590cc0e3544b · outbound
This paper cites Deep subspace clustering net- works.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Deep subspace clustering net- works
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.336752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ef9b27cd-2d1a-4455-b49c-da48aa8215d0 · outbound
This paper cites Gradient-based learning ap- plied to document recognition.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Gradient-based learning ap- plied to document recognition
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:48.995468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10134e44-53d3-4d8b-bca1-3de773fa3eaf · outbound
This paper cites [Lezama et al., 2018] Jos´e Lezama, Qiang Qiu, Pablo Mus´e, and Guillermo Sapiro.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference [Lezama et al., 2018] Jos´e Lezama, Qiang Qiu, Pablo Mus´e, and Guillermo Sapiro
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.295401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 388a8ca0-9862-4bd6-b510-608419b349cb · outbound
This paper cites Deep Sparse Subspace Clustering.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Deep Sparse Subspace Clustering
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:49.011244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4fde7a1-1516-4ed1-8bba-b7df4af3d934 · outbound
This paper cites Linear algebra and its appli- cations.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Linear algebra and its appli- cations
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.249675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 78a39003-5845-4464-a9d4-2388080cf0a4 · outbound
This paper cites Tabeart, Sarah L.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Tabeart, Sarah L
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.238474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b82ad0c-abd6-4bb4-9db2-071540da4be5 · outbound
This paper cites van Wieringen.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference van Wieringen
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.226934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fac12c57-8401-49b4-9cd1-5de4f06aa7e5 · outbound
This paper cites Lecture notes on ridge regression.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Lecture notes on ridge regression
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:49.028158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e24c4a77-153b-4a27-955b-aa80f0bb83ce · outbound
This paper cites Learning Diverse and Discriminative Representations via the Principle of Maxi- mal Coding Rate Reduction.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Learning Diverse and Discriminative Representations via the Principle of Maxi- mal Coding Rate Reduction
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.214576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b5702adb-7461-4181-9d01-4483cff6c1b0 · outbound
This paper cites White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:49.034826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b320aa1-8e83-42eb-b907-155fb0120b07 · outbound
This paper cites Scalable Deep k-Subspace Clustering.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Scalable Deep k-Subspace Clustering
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.202827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 104c31aa-0958-46db-9fb8-ece5b303f36d · outbound
This paper cites Deep adversarial subspace clustering.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Deep adversarial subspace clustering
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.191114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7cf0a54c-3525-447f-8b4f-6e9ff5478171 · outbound
This paper cites A Ge- ometric Analysis of Neural Collapse with Unconstrained Features, May.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference A Ge- ometric Analysis of Neural Collapse with Unconstrained Features, May
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.179238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 425bec2e-3798-498c-9846-779d6cb76ff7 · outbound
This paper cites A Geometric Analysis of Neural Collapse with Unconstrained Features.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference A Geometric Analysis of Neural Collapse with Unconstrained Features
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:49.048203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 488f778d-4bf3-46e1-b16a-b1ebfab6222a · outbound
This paper cites For a least squares problem of Ax = b, the projection ma- trix is P = A(A∗A)−1A∗.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference For a least squares problem of Ax = b, the projection ma- trix is P = A(A∗A)−1A∗
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.167538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9a90813b-ade7-4f61-8976-121f90bbb069 · outbound
This paper cites Multiple Features,.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Multiple Features,
Reference 1994
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.396002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a09ef5eb-5227-462b-837a-2f774db66d03 · outbound
This paper cites Re- duNet: A white-box deep network from the principle of maximizing rate reduction.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Re- duNet: A white-box deep network from the principle of maximizing rate reduction
Reference 1998
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.430044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fe6086ac-8553-48f2-b387-501929a3d1f4 · outbound
This paper cites A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning, October.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning, October
Reference 2006
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.407741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 05ee5845-9d9f-43c0-a9dd-3d0d23ee8099 · outbound
This paper cites an unresolved cited work.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Unresolved cited work
Reference 2007
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T11:44:49.272147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7b69ee02-8009-4aee-9815-93270f6eaed8 · outbound
This paper cites an unresolved cited work.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Unresolved cited work
Reference 2012
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T11:44:49.314362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7d46841a-9577-415a-9a33-f61a89997007 · outbound
This paper cites Haeffele, Chong You, and Ren´e Vidal.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Haeffele, Chong You, and Ren´e Vidal
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.359832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 50c3b8c9-7d8a-42a4-af37-3ff007f1e3fa · outbound
This paper cites Human Activity Recognition Using Smartphones,.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Human Activity Recognition Using Smartphones,
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.325565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 78f21017-0331-491b-be23-26a1bd4f4d7d · outbound
This paper cites Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.284172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 849bf08a-bf2b-4519-b525-30dc063a133f · outbound
This paper cites Improving the condition number of estimated covariance matrices.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Improving the condition number of estimated covariance matrices
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T11:44:49.120725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 15791c69-2f0d-4d3a-8119-1f95f96162d5 · outbound
This paper cites Deep Sparse Subspace Clustering, September.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Deep Sparse Subspace Clustering, September
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.260951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 961cb791-628e-4a6b-b5df-b95115d56f46 · outbound
This paper cites [Goodfellow et al., 2016] Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference [Goodfellow et al., 2016] Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.372798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ead02074-36ca-448b-afce-ceceb68925a0 · outbound
This paper cites [Cover and Thomas, 2006] Thomas M.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference [Cover and Thomas, 2006] Thomas M
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T11:44:49.418814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 37d494aa-f891-4533-a94e-768fce59f061 · outbound
This paper cites A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning.
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:44:48.961883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.