Paper Citation Record · LEDGER

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2505.00033.

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

pith.paper-citation-record.v1
2505.00033 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:27:26.970392Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:59:54.316276Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:26:09.861255Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy17
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63ba5388-f707-4da1-8727-edb4c856afc8 · outbound

This paper cites K-svd: An algorithm for designing overcomplete dictionaries for sparse representation.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models K-svd: An algorithm for designing overcomplete dictionaries for sparse representation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.309471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b1d8c73-c4ea-49bf-b6fe-46aeb288a1e8 · outbound

This paper cites Peters, and Arman Cohan.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Peters, and Arman Cohan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.297779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4477342a-d0ee-456f-9167-5c69e8f419be · outbound

This paper cites Generating long sequences with sparse transformers.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Generating long sequences with sparse transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.286167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7be8cc39-c31d-447d-b957-cb2735a3697a · outbound

This paper cites Rethinking attention with performers.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Rethinking attention with performers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.274996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 925e1053-a43f-4c39-8457-a962e1cf6024 · outbound

This paper cites Le, and Ruslan Salakhut- dinov.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Le, and Ruslan Salakhut- dinov

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.263291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f66833e-0600-4e8a-9478-1d07eb0cefd8 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.251499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d48fca7a-2284-452e-a06f-f9007783b148 · outbound

This paper cites Fourier-recurrent neural networks for long-range time series modeling.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Fourier-recurrent neural networks for long-range time series modeling

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.240199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 722a103f-017a-4e1c-aa7c-f9af463550f4 · outbound

This paper cites Linear-time transformers via structured fourier kernel approximation.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Linear-time transformers via structured fourier kernel approximation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.228103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e6e2fb4-daf0-43ca-a733-580c3e4fd8f9 · outbound

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

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.200030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20fb9067-fbb7-4903-be9d-3b8e67753b06 · outbound

This paper cites Kingma and Jimmy Ba.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Kingma and Jimmy Ba

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.187522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 579c9d61-9634-4ea7-9f73-699d58d9a383 · outbound

This paper cites Spectral dictionary learning for generative image modeling.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Spectral dictionary learning for generative image modeling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.174868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a633b75b-3684-4491-a96e-286ad297fc73 · outbound

This paper cites A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:26.937272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4945afcf-79ee-4e09-ae45-e3e26c9fc788 · outbound

This paper cites Reformer: The efficient transformer.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Reformer: The efficient transformer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.162287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac4d6294-f00c-4889-9e0b-42b36a19deac · outbound

This paper cites Fnet: Mixing to- kens with fourier transforms.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Fnet: Mixing to- kens with fourier transforms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:26.945883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453efa70-5da9-4ca3-a2d5-f2a395e4d067 · outbound

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

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Pytorch: An imperative style, high-performance deep learning library

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.141989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b235d53-8c5e-4687-a5d2-4b1a6694ccc4 · outbound

This paper cites Radford, K.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Radford, K

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.126040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 040981c7-2a69-4250-a8df-6ecd552c8af8 · outbound

This paper cites Language models are unsupervised multitask learners.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Language models are unsupervised multitask learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.074616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55a25ea4-1239-4d61-a5c8-e97bea13d347 · outbound

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

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.044804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30ba8108-2479-424b-bf81-b25d0e0ec4d8 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Linformer: Self-Attention with Linear Complexity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:26.965442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90af5a77-2c05-4327-8927-074b8a044599 · outbound

This paper cites Big bird: Trans- formers for longer sequences.

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models Big bird: Trans- formers for longer sequences

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:27.029709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 8de41b4a-2f0b-466a-82e4-97488771f3d1 · inbound

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs cites this paper.

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:59:54.316276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc3f6a3-59bf-47a8-854c-87064ff16b67 · 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 From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:26:10.004358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.