Paper Citation Record · LEDGER

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2412.17810.

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

pith.paper-citation-record.v1
2412.17810 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:45.283513Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:48:13.827965Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation ca80d59d-e453-41a6-964b-7863e092e737 · outbound

This paper cites Xcit: Cross-covariance image transformers.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Xcit: Cross-covariance image transformers

Reference 1

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Observation 9942283a-f208-4268-991e-0829192ffa83 · outbound

This paper cites Longformer: The Long-Document Transformer.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Longformer: The Long-Document Transformer

Reference 2

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Observation 79e5c269-e4c8-4b2d-bc7a-10147870da08 · outbound

This paper cites Language models are few-shot learners.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Language models are few-shot learners

Reference 3

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Observation 14c1d12e-16b2-4339-8287-bee3e2cc4188 · outbound

This paper cites A non-local algorithm for image denoising.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction A non-local algorithm for image denoising

Reference 4

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Observation 7c6a340d-e450-4b16-bf5a-d83cbf52e197 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Emerging properties in self-supervised vision transformers

Reference 5

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Observation 37f269cb-600a-41f1-bd19-f0b4681d71af · outbound

This paper cites Redunet: A white-box deep network from the principle of maximizing rate reduction.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Redunet: A white-box deep network from the principle of maximizing rate reduction

Reference 6

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Observation 5b03fc87-7f6b-4c05-b574-0cd03ae05174 · outbound

This paper cites An attentive survey of attention models.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction An attentive survey of attention models

Reference 7

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Observation c35e9fdd-edbc-4711-8f8f-653e1f4dffad · outbound

This paper cites Generative pretraining from pixels.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Generative pretraining from pixels

Reference 8

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Observation 5e8d9fa2-77f7-480b-9f02-64e3f9eb8051 · outbound

This paper cites Rethinking attention with performers.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Rethinking attention with performers

Reference 9

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Observation c624f37d-b5e2-4005-99b2-db58ba1e2e63 · outbound

This paper cites Image clustering via the principle of rate reduction in the age of pretrained models.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Image clustering via the principle of rate reduction in the age of pretrained models

Reference 10

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Observation ae564765-d453-4a4c-8033-7794cfc21e10 · outbound

This paper cites Image denoising with block-matching and 3d filtering.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Image denoising with block-matching and 3d filtering

Reference 11

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Observation 104dfdf9-ebdf-4304-bd03-ff39acb5cfd1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Imagenet: A large-scale hierarchical image database

Reference 12

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This paper cites BERT : Pre -training of Deep Bidirectional Transformers for Language Understanding.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction BERT : Pre -training of Deep Bidirectional Transformers for Language Understanding

Reference 13

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This paper cites Unsupervised Manifold Linearizing and Clustering.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Unsupervised Manifold Linearizing and Clustering

Reference 14

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

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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This paper cites Testing the manifold hypothesis.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Testing the manifold hypothesis

Reference 16

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Observation 33effcd1-b523-4c7c-85eb-58917aafc4fd · outbound

This paper cites Openwebtext corpus.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Openwebtext corpus

Reference 17

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This paper cites Learning fast approximations of sparse coding.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Learning fast approximations of sparse coding

Reference 18

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Observation a07a72de-5bc3-4e30-a67a-0f5d252f237e · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Efficiently modeling long sequences with structured state spaces

Reference 19

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Unresolved cited work

Reference 20

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Reformer: The efficient transformer

Reference 21

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This paper cites Learning multiple layers of features from tiny images.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Learning multiple layers of features from tiny images

Reference 22

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This paper cites Learning long-range spatial dependencies with horizontal gated recurrent units.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Learning long-range spatial dependencies with horizontal gated recurrent units

Reference 23

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Observation bb4cc1c7-b43e-4e97-a91b-63e9db73aae2 · outbound

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Swin transformer: Hierarchical vision transformer using shifted windows

Reference 24

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Decoupled weight decay regularization, 2019

Reference 25

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Learning word vectors for sentiment analysis

Reference 26

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Unresolved cited work

Reference 27

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction On estimating regression

Reference 28

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 29

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This paper cites Automated flower classification over a large number of classes.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Automated flower classification over a large number of classes

Reference 30

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Unresolved cited work

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Blockwise self-attention for long document understanding

Reference 32

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction The acl anthology network corpus

Reference 33

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Improving language understanding by generative pre-training

Reference 34

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Language models are unsupervised multitask learners

Reference 35

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Long range arena : A benchmark for efficient transformers

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Training data-efficient image transformers & distillation through attention

Reference 37

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Attention is all you need

Reference 38

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Attention: Self-expression is all you need, 2022

Reference 39

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Observation 9cfd29f8-1ecc-4a2d-ae3f-dcd359bccfc9 · outbound

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Linformer: Self-Attention with Linear Complexity

Reference 40

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Smooth regression analysis

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction High-dimensional data analysis with low-dimensional models: Principles, computation, and applications

Reference 42

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction o mformer: A nystr \

Reference 43

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Learning diverse and discriminative representations via the principle of maximal coding rate reduction

Reference 44

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Reference 45

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction White-box transformers via sparse rate reduction

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Big bird: Transformers for longer sequences

Reference 47

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Dive into Deep Learning

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction write newline

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction @esa (Ref

Reference 50

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Unresolved cited work

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Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Efficient Maximal Coding Rate Reduction by Variational Forms

Reference 52

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Pith citing papers

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Simplifying DINO via Coding Rate Regularization cites this paper.

Simplifying DINO via Coding Rate Regularization Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

Reference 40

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MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection cites this paper.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

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Observation 3f0da1ef-0189-4438-a92f-1393e4089ff7 · inbound

Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining cites this paper.

Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

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