Paper Citation Record · LEDGER

LAPLEX: The FFT of Learnable Laplace Kernels

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2605.24584.

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

pith.paper-citation-record.v1
2605.24584 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:01:09.170208Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy28
unresolved5
parse uncertain0
malformed identifier1
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External citation measurements

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Outbound references

Observation c7e0a84f-51e2-4fab-beaf-9cdb94ba464a · outbound

This paper cites Database-friendly random projections: Johnson–Lindenstrauss with binary coins.Journal of Computer and System Sciences, 66(4):671–687, 2003.

LAPLEX: The FFT of Learnable Laplace Kernels Database-friendly random projections: Johnson–Lindenstrauss with binary coins.Journal of Computer and System Sciences, 66(4):671–687, 2003

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.589469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 617a7bbe-cd6c-4f16-905d-6ddbb7caa8c2 · outbound

This paper cites Finding frequent items in data streams.

LAPLEX: The FFT of Learnable Laplace Kernels Finding frequent items in data streams

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.598336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2800faa-f682-4241-a917-6798f35adc6a · outbound

This paper cites Finding frequent items in data streams.

LAPLEX: The FFT of Learnable Laplace Kernels Finding frequent items in data streams

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.609106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6601e7b-508f-4cee-8f7d-6a8992594f06 · outbound

This paper cites Rethinking attention with Performers.

LAPLEX: The FFT of Learnable Laplace Kernels Rethinking attention with Performers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.603932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fed31c98-f0e0-44a8-b5ac-ae857776efe0 · outbound

This paper cites Cooley and John W.

LAPLEX: The FFT of Learnable Laplace Kernels Cooley and John W

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.587484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 764a0e66-f073-48fb-bdc7-16aee5c0b8ea · outbound

This paper cites Muthukrishnan.

LAPLEX: The FFT of Learnable Laplace Kernels Muthukrishnan

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.571820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 10639369-63b9-48dd-952e-bd2d0079420a · outbound

This paper cites an unresolved cited work.

LAPLEX: The FFT of Learnable Laplace Kernels Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:05:48.561365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e1bb2dd-1839-4aa7-8b57-381de0fc8529 · outbound

This paper cites Dutt and V.

LAPLEX: The FFT of Learnable Laplace Kernels Dutt and V

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.559628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 350d87e2-c903-4374-97b4-710a9a7db800 · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks.

LAPLEX: The FFT of Learnable Laplace Kernels The lottery ticket hypothesis: Finding sparse, trainable neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.578809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a6e927e-c7f8-4599-b4f4-c38d42931c45 · outbound

This paper cites SparseGPT: Massive language models can be accurately pruned in one-shot.

LAPLEX: The FFT of Learnable Laplace Kernels SparseGPT: Massive language models can be accurately pruned in one-shot

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.582245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 230b7487-a9e5-4dcc-89cc-b4ec489a3865 · outbound

This paper cites The design and implementation of fftw3.Proceedings of the IEEE, 93(2):216–231, 2005.

LAPLEX: The FFT of Learnable Laplace Kernels The design and implementation of fftw3.Proceedings of the IEEE, 93(2):216–231, 2005

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.594762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8ae2d72-3457-45dd-bab8-c6cc2beba3ac · outbound

This paper cites The em algorithm for mixtures of factor analyzers.

LAPLEX: The FFT of Learnable Laplace Kernels The em algorithm for mixtures of factor analyzers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.580479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 531f5244-c943-460a-93fb-b850f46c5483 · outbound

This paper cites Revisiting the nyström method for improved large-scale machine learning.Journal of Machine Learning Research, 17(117):1–65, 2016.

LAPLEX: The FFT of Learnable Laplace Kernels Revisiting the nyström method for improved large-scale machine learning.Journal of Machine Learning Research, 17(117):1–65, 2016

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.596578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9590686e-0513-48e8-bf8b-122f85b1ba5e · outbound

This paper cites Gray.Toeplitz and Circulant Matrices: A Review.

LAPLEX: The FFT of Learnable Laplace Kernels Gray.Toeplitz and Circulant Matrices: A Review

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.570186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61232d61-b6e2-4219-8e27-b07982effbee · outbound

This paper cites Greengard and V.

LAPLEX: The FFT of Learnable Laplace Kernels Greengard and V

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.591018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e0e97b5-b05b-4263-b0a4-0653dde321fb · outbound

This paper cites Accelerating the nonuniform fast Fourier transform.SIAM Review, 46(3):443–454, 2004.

LAPLEX: The FFT of Learnable Laplace Kernels Accelerating the nonuniform fast Fourier transform.SIAM Review, 46(3):443–454, 2004

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.592733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90c3c44f-4a67-4ce7-97a7-5a4b8da31c47 · outbound

This paper cites an unresolved cited work.

LAPLEX: The FFT of Learnable Laplace Kernels Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:05:48.599988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 623b3c21-8677-498b-822f-f921a56c75ed · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

LAPLEX: The FFT of Learnable Laplace Kernels Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.585688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02c4a1c2-fec0-4e0d-9850-c174fdb8eff8 · outbound

This paper cites Transformers are RNNs: Fast autoregressive transformers with linear attention.

LAPLEX: The FFT of Learnable Laplace Kernels Transformers are RNNs: Fast autoregressive transformers with linear attention

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.564920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a25bcb13-786f-4caa-8640-4e6bb7ae340e · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows.

LAPLEX: The FFT of Learnable Laplace Kernels Swin Transformer: Hierarchical vision transformer using shifted windows

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.575338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff0c84e6-d4e1-45f8-80c5-05fa8841ef13 · outbound

This paper cites New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76.

LAPLEX: The FFT of Learnable Laplace Kernels New insights and perspectives on the natural gradient method.Journal of Machine Learning Research, 21(146):1–76

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.611116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc92530d-79ab-4246-b58d-571f982fc142 · outbound

This paper cites Smith, and Lingpeng Kong.

LAPLEX: The FFT of Learnable Laplace Kernels Smith, and Lingpeng Kong

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.605672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f18270af-8e16-473d-97d1-942b8c66a70b · outbound

This paper cites Random features for large-scale kernel machines.

LAPLEX: The FFT of Learnable Laplace Kernels Random features for large-scale kernel machines

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.553049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4de7ed7b-690b-4c37-8a23-a009f271befb · outbound

This paper cites an unresolved cited work.

LAPLEX: The FFT of Learnable Laplace Kernels Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:05:48.554723Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 062d5923-15b9-4cba-aba4-295359a37d5c · outbound

This paper cites On gans and gmms.

LAPLEX: The FFT of Learnable Laplace Kernels On gans and gmms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.556411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1219ad11-85bc-4477-aed8-538464f36a10 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

LAPLEX: The FFT of Learnable Laplace Kernels A Simple and Effective Pruning Approach for Large Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-30T14:04:44.519530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6807f4a2-f304-452d-bcbe-3841f95de84d · outbound

This paper cites Sutherland and Jeff Schneider.

LAPLEX: The FFT of Learnable Laplace Kernels Sutherland and Jeff Schneider

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.558025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca36012a-684c-454d-9d17-52920ea6dd3a · outbound

This paper cites Mixtures of probabilistic principal component analyzers.Neural Computation, 11(2):443–482, 1999.

LAPLEX: The FFT of Learnable Laplace Kernels Mixtures of probabilistic principal component analyzers.Neural Computation, 11(2):443–482, 1999

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.568400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cee1c478-264b-4af2-9eef-8171dabf00d9 · outbound

This paper cites Probabilistic principal component analysis.

LAPLEX: The FFT of Learnable Laplace Kernels Probabilistic principal component analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.563102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9cb3458-631e-4113-ae6a-c9c1a0bcc6d9 · outbound

This paper cites Maxvit: Multi-axis vision transformer.

LAPLEX: The FFT of Learnable Laplace Kernels Maxvit: Multi-axis vision transformer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.573563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73e08073-6735-407f-87da-4d2500938757 · outbound

This paper cites Generalized low rank models.

LAPLEX: The FFT of Learnable Laplace Kernels Generalized low rank models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.583876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93ce0e9d-0eb6-482d-965a-d8280af3480c · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

LAPLEX: The FFT of Learnable Laplace Kernels Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:05:48.607403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6da379c-fd74-491b-89df-014d4a9acca2 · outbound

This paper cites an unresolved cited work.

LAPLEX: The FFT of Learnable Laplace Kernels Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:05:48.577042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7ef40cc-28ae-409d-a19d-d35578954745 · outbound

This paper cites an unresolved cited work.

LAPLEX: The FFT of Learnable Laplace Kernels Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:05:48.566573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5715283b-02bf-49fc-af9a-a99f5f439d99 · outbound

This paper cites differentiable.

LAPLEX: The FFT of Learnable Laplace Kernels differentiable

Reference 35

Resolution: malformed identifier; raw_fallback, observed 2026-07-09T00:05:48.602117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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