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Paper Citation Record · LEDGER

SpectFormer: Frequency and Attention is what you need in a Vision Transformer

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.06446.

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

pith.paper-citation-record.v1
2304.06446 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:23:04.562840Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:01:27.793351Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cf67445b-b20c-4288-bb39-ed84d6a34455 · inbound

Scalable Event Cloud Network for Event-based Classification cites this paper.

Scalable Event Cloud Network for Event-based Classification SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T23:14:48.732424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:48.732424Z digest=sha256:a9319470abc065e1378903e3e3466c8fadf0d108aee684bce82f1954fa87f68b

Observation c75cc50f-d07c-4b36-8722-c7529707f32d · inbound

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks cites this paper.

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T15:23:04.562840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:23:04.562840Z digest=sha256:6ef2e120bf4826fd40355fa3bec679b7916bbf5820fb8e6e0e0ca71355100be4

Observation bf975c49-f72b-476c-b20c-fd85226e2014 · inbound

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

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:40:18.917168Z

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.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:68d456a0cca09e5c792ae16bac3f14ca8a785f21efda75a053378ac253049508

Observation f2693a68-b8ad-4c84-8303-d30809e7065f · 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 SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 269

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:21:04.583842Z

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.

source=arxiv_source observed=2026-05-10T03:50:44.626261Z digest=sha256:547b43b61d34e349c987844311a12235f41970bb52f1aaf1af49a0e10d59848b

Observation 7bc67838-699c-4b0b-881e-3cb2934511a4 · inbound

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals cites this paper.

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:07.265463Z

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.

source=pdf_text observed=2026-05-09T20:14:25.075598Z digest=sha256:9d3c5ede6082564b91f9dde1967dc4ce0d42496271faa9aa41dbcf2cc2157513

Observation c2ee50d1-7338-4312-b0c9-e2b0401d0170 · inbound

Text-Guided Multi-Scale Frequency Representation Adaptation cites this paper.

Text-Guided Multi-Scale Frequency Representation Adaptation SpectFormer: Frequency and Attention is what you need in a Vision Transformer

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:27.800216Z

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.

source=arxiv_source observed=2026-05-12T01:25:10.261289Z digest=sha256:5a9535639a3e1f1674c1831151afee2da1bcbd9b16c75ab4e55875464dfaf80b