Paper Citation Record · LEDGER

Random Feature Attention

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2103.02143.

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

pith.paper-citation-record.v1
2103.02143 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:18:19.340220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:50.016990Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 65595d49-61e1-4526-81a7-73094e8ddd77 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Random Feature Attention

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:15:14.165236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70772b3d-ec89-43ad-b633-5dcc19d8b82c · inbound

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis cites this paper.

Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis Random Feature Attention

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-08T13:18:19.340220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34b5ac72-00e4-4aa2-abe9-2fe533452ac4 · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Random Feature Attention

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:13.820406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 892858da-22bc-4cfa-b2b6-4f01e6cb0adf · 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) Random Feature Attention

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:59.085521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30f7494-0234-4161-bc89-1c7483ff83a8 · inbound

Elucidating the Design Space of Decay in Linear Attention cites this paper.

Elucidating the Design Space of Decay in Linear Attention Random Feature Attention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:21.517415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1865fa0f-edf9-42f0-b85e-c746f26b013c · inbound

Higher-order Linear Attention cites this paper.

Higher-order Linear Attention Random Feature Attention

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:05:47.388067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1709028a-4e5e-4697-a44f-96e5c5909aa8 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling Random Feature Attention

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:39:59.259044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6d84347-504f-4770-8481-2c82ada2edb6 · inbound

Attention to Mamba: A Recipe for Cross-Architecture Distillation cites this paper.

Attention to Mamba: A Recipe for Cross-Architecture Distillation Random Feature Attention

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T23:08:24.880040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac6a2fc1-9c13-4536-92f9-ce5530d52002 · inbound

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging cites this paper.

Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Random Feature Attention

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:24.149112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5259d0a-2e5f-4856-8263-eefee22d8af7 · inbound

Elastic Attention Cores for Scalable Vision Transformers cites this paper.

Elastic Attention Cores for Scalable Vision Transformers Random Feature Attention

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:07:22.876757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d20a8b4-375d-4971-9044-4084fc837fc2 · inbound

Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations cites this paper.

Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations Random Feature Attention

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:33:30.785124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd0430b4-0fe0-4cdc-bc21-683598987f09 · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders Random Feature Attention

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:35.233826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fca26131-b39e-4f38-a51e-e9c5487e29f5 · inbound

Blurry Window Attention cites this paper.

Blurry Window Attention Random Feature Attention

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:14.012497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4a862c6-363d-44a5-a5a0-db551698921f · inbound

General-Purpose Nonlinear Function Approximation via Linear Integrated Photonics cites this paper.

General-Purpose Nonlinear Function Approximation via Linear Integrated Photonics Random Feature Attention

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:50.018405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.