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Paper Citation Record · LEDGER

FNet: Mixing Tokens with Fourier Transforms

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2105.03824.

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

pith.paper-citation-record.v1
2105.03824 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:11.001597Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:06:09.439125Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 23245ca3-6b34-4a23-9d9a-ad163c7097de · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality FNet: Mixing Tokens with Fourier Transforms

Reference 56

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metadata mismatch
arxiv_id, observed 2026-05-11T12:16:25.810008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T12:16:25.390683Z digest=sha256:40a56b52fbe884e44416e6600704e05d8280ee80877d89a382201dfd94267870

Observation 520fb5c4-5350-4726-a675-165f23b350b4 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases FNet: Mixing Tokens with Fourier Transforms

Reference 213

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no resolver link, observed 2026-08-12T20:23:11.001597Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:23:11.001597Z digest=sha256:ca1f2282466371c75c9b6a895843482b55c2a5ffe3a3fe731a002ff54b72b7e3

Observation 3a0a3a1c-4452-4472-ae90-e891baa4db25 · inbound

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction cites this paper.

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction FNet: Mixing Tokens with Fourier Transforms

Reference 21

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no resolver link, observed 2026-08-12T14:43:09.527487Z

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source=pdf_text observed=2026-08-12T14:43:09.527487Z digest=sha256:3a47a1373026927c32fa85921cb29f900bb35aa8d27f169e2e77543a93865f87

Observation 814d3d92-66b2-4a00-8036-d333ab600bc0 · inbound

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation cites this paper.

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation FNet: Mixing Tokens with Fourier Transforms

Reference 26

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no resolver link, observed 2026-08-12T10:24:01.237757Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:01.237757Z digest=sha256:d953d71e9bbe39c9cad2715952928d85af4432fabbda8f9a3a085b926aaaa6e7

Observation 91383bb3-0159-47d3-9759-1684b0d7b09d · inbound

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection cites this paper.

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection FNet: Mixing Tokens with Fourier Transforms

Reference 65

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no resolver link, observed 2026-08-11T05:45:22.644675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:45:22.644675Z digest=sha256:7a822791578bda54393f3846a52101d3d428b1ed513c2df4a499cb2de46416a9

Observation 1be46fd0-ba96-4bf3-92b1-7543455eb050 · inbound

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression cites this paper.

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression FNet: Mixing Tokens with Fourier Transforms

Reference 27

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no resolver link, observed 2026-08-09T18:05:27.596530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:05:27.596530Z digest=sha256:248720f231a806035551c2683e99aa8d5ee156835a9c6fd7a75b20635eefb97f

Observation 98902704-ffa7-4654-a326-05dc2b13f7b9 · inbound

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems cites this paper.

Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems FNet: Mixing Tokens with Fourier Transforms

Reference 27

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no resolver link, observed 2026-08-08T15:57:13.364008Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:57:13.364008Z digest=sha256:4f3d56e44bd53eef8fc4da55c5d6a447a1262462e4ff2e59c85deb18ef50769b

Observation 712c06fc-030a-4711-a0f1-dbb80d30ae53 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer FNet: Mixing Tokens with Fourier Transforms

Reference 30

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no resolver link, observed 2026-08-07T11:57:22.740900Z

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source=pdf_text observed=2026-08-07T11:57:22.740900Z digest=sha256:b2faae42e17dd1afee0413ba8e136888d7be3c4830134d3ead86ecdd257c285a

Observation ec2fe666-c143-432c-9d6c-f682d7b3ee8b · inbound

Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA) cites this paper.

Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA) FNet: Mixing Tokens with Fourier Transforms

Reference 2021

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no resolver link, observed 2026-08-06T18:19:59.062242Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.062242Z digest=sha256:4abd69be14d81489ace4b21ce47b7e776f35a2753b2d4bfe92745880835b75a4

Observation 0f721d96-067d-419c-b681-2146810da2f3 · inbound

BeatFormer: Efficient motion-robust remote heart rate estimation through unsupervised spectral zoomed attention filters cites this paper.

BeatFormer: Efficient motion-robust remote heart rate estimation through unsupervised spectral zoomed attention filters FNet: Mixing Tokens with Fourier Transforms

Reference 23

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no resolver link, observed 2026-08-06T15:51:37.088712Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:51:37.088712Z digest=sha256:169bae9c52b0455d8874c198dabcef3e2a5b266d40096630058a3f60f1636c68

Observation 5b856a40-639c-4f76-bda6-353baa7372ef · inbound

Attacking interpretable NLP systems cites this paper.

Attacking interpretable NLP systems FNet: Mixing Tokens with Fourier Transforms

Reference 35

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no resolver link, observed 2026-08-06T15:22:31.253454Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:31.253454Z digest=sha256:f45e30f0270abc1f254a48f641400e1edaee7f9bd9980a09e3ccde0eb56b0677

Observation 3974783e-c163-4e50-ab56-a9d766ef3bac · inbound

Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks cites this paper.

Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks FNet: Mixing Tokens with Fourier Transforms

Reference 24

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no resolver link, observed 2026-08-06T16:26:06.784142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:06.784142Z digest=sha256:6ad100d842c90cf4b86a0198e549b2d8bc1e24120f6ec216adeed5c3a4c7d901

Observation 9ac4e482-d96e-4a3d-9eac-4ba3dc5f562b · inbound

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression cites this paper.

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression FNet: Mixing Tokens with Fourier Transforms

Reference 13

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no resolver link, observed 2026-08-06T14:00:43.306753Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:00:43.306753Z digest=sha256:ecdf84eb2fa6ab47783dfe85a4b019039cab05aed7caada8ebd327a4982d9d9d

Observation 661ba6e1-93d0-4728-9753-bd7937b1a3b5 · inbound

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models cites this paper.

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models FNet: Mixing Tokens with Fourier Transforms

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T22:40:43.070545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T22:40:39.892802Z digest=sha256:cdeb9e634b732866f4b86c6f06c238cc5d9e2103b525b52dfea14e2d932140c2

Observation e41d4d1b-57e2-4e95-a23e-332d7abff66d · inbound

Positional Encoding via Token-Aware Phase Attention cites this paper.

Positional Encoding via Token-Aware Phase Attention FNet: Mixing Tokens with Fourier Transforms

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-18T16:21:36.715912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T16:19:48.318702Z digest=sha256:b7eec9243eaaa7f980c74ff371e030fe8362df5d10d20560de1b6b4568cc58f6

Observation 641809f8-3f54-4b7e-8b38-b82836839e05 · inbound

WavePhaseNet: A DFT-Based Method for Constructing Semantic Conceptual Hierarchy Structures (SCHS) cites this paper.

WavePhaseNet: A DFT-Based Method for Constructing Semantic Conceptual Hierarchy Structures (SCHS) FNet: Mixing Tokens with Fourier Transforms

Reference 1

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no resolver link, observed 2026-08-02T23:14:28.663545Z

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source=pdf_text observed=2026-08-02T23:14:28.663545Z digest=sha256:a90790b00b9a16f31d02a650fd5faae659063d5b917b41374a6696a54ea1a601

Observation a9bf61dc-4089-4a23-a8b5-89d3833eaa84 · inbound

The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle cites this paper.

The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle FNet: Mixing Tokens with Fourier Transforms

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 4e36abf3-9eff-4fac-ab04-ed458bacc51f · inbound

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling cites this paper.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling FNet: Mixing Tokens with Fourier Transforms

Reference 3

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no resolver link, observed 2026-07-13T10:31:11.574398Z

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source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:68121fd1f4850027c41cd54b1ebd137d0d55c5b49faab4ab202c97c4b48ecd10

Observation d4bc9c82-8a2f-4877-a86f-b406732a8a5b · inbound

AudioKV: KV Cache Eviction in Efficient Large Audio Language Models cites this paper.

AudioKV: KV Cache Eviction in Efficient Large Audio Language Models FNet: Mixing Tokens with Fourier Transforms

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T00:30:54.510348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:28:49.768210Z digest=sha256:85666952f907f9bb7aab93179e8b58c7673a0574b59f3fb6b58b97f2c1bf8879

Observation 07c39ef2-9110-4cdb-ba17-1a2fdc8ea4f6 · inbound

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet cites this paper.

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet FNet: Mixing Tokens with Fourier Transforms

Reference 25

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arxiv_id, observed 2026-05-10T11:40:18.940080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:a42fb87a278fc28fa193e90f72e6f569f0f4b25c2617638e50a11e72afd410f4

Observation c586c3a0-bacb-47e1-9dbd-f65f5d31f746 · inbound

Latent Fourier Transform cites this paper.

Latent Fourier Transform FNet: Mixing Tokens with Fourier Transforms

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-11T12:21:07.021671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T03:45:07.892234Z digest=sha256:08d47a776a8637b2a16a68237642b3fa0887eb118ce6b071fde47417ae678397

Observation 67c9ba0f-d1fb-42e6-a654-baaea3a00a3c · inbound

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors cites this paper.

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors FNet: Mixing Tokens with Fourier Transforms

Reference 272

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arxiv_id, observed 2026-05-11T12:21:04.520969Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T03:50:44.626261Z digest=sha256:c378834fc2265ba0b26eadc135898d0e6537eae4ab4739635572fc7a6f5311f5

Observation 6d7c3591-e159-4fde-8d3a-580a92a7b866 · inbound

Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding cites this paper.

Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding FNet: Mixing Tokens with Fourier Transforms

Reference 3

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arxiv_id, observed 2026-07-01T21:06:13.221910Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T17:34:08.798649Z digest=sha256:907904a1aa4478ee369726edfa27bd28693ff47eba10c08806fe9df9153627fd

Observation 7dd19d86-26ed-4415-b39d-b3604d8587bc · inbound

Chiaroscuro Attention: Spending Compute in the Dark cites this paper.

Chiaroscuro Attention: Spending Compute in the Dark FNet: Mixing Tokens with Fourier Transforms

Reference 14

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arxiv_id, observed 2026-07-02T21:47:27.778518Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T19:32:51.720078Z digest=sha256:f291d16c4a29ff43f7f7b72fea8b42c6630942383beb5361c3d69b120cc2544e

Observation 7ce79cce-bbde-4ed3-94ed-020e854cfcb1 · inbound

Blurry Window Attention cites this paper.

Blurry Window Attention FNet: Mixing Tokens with Fourier Transforms

Reference 36

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arxiv_id, observed 2026-07-01T20:46:13.973150Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T17:43:34.429061Z digest=sha256:5656ba7200adf92d16b68fc0e66307d6716f3de6556e2420c341a1b842e83cbd

Observation 16ca0232-c4e1-43ee-8456-912d725faa83 · inbound

FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention cites this paper.

FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention FNet: Mixing Tokens with Fourier Transforms

Reference 12

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local_arxiv, observed 2026-07-09T10:06:09.440493Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T09:58:20.387878Z digest=sha256:05b0a63fe7dff664d7dfe329955ca45222c114fa1b58d97f71973e733357f9fe

Observation 640bf23f-3b29-4176-9106-7f3746a16213 · inbound

ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling cites this paper.

ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling FNet: Mixing Tokens with Fourier Transforms

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:23:26.233526Z digest=sha256:70fcd07291703c903a120ca281f675d7505e6e54721f4069c597280751258bf4