Paper Citation Record · LEDGER

cosFormer: Rethinking Softmax in Attention

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2202.08791.

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

pith.paper-citation-record.v1
2202.08791 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:31:33.523859Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T01:45:50.805747Z

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 e0b154d1-b6e8-444d-a351-b789ada7154a · inbound

On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data cites this paper.

On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data cosFormer: Rethinking Softmax in Attention

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:09:36.601901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc307d8-cbde-40c7-9a91-1ba019a991d4 · inbound

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain cites this paper.

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain cosFormer: Rethinking Softmax in Attention

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:17.676760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013b853b-7c57-41e8-b0a9-d34ad3f2b42d · inbound

Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies cites this paper.

Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies cosFormer: Rethinking Softmax in Attention

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:55:30.331848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f748f79e-0463-4ae3-8101-166f994583a0 · inbound

SchoenbAt: Rethinking Attention with Polynomial basis cites this paper.

SchoenbAt: Rethinking Attention with Polynomial basis cosFormer: Rethinking Softmax in Attention

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T20:41:59.413605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdc5da1-ceb5-4cf3-a525-bafa5e915217 · inbound

RACE Attention: A Strictly Linear-Time Attention Layer for Training on Outrageously Large Contexts cites this paper.

RACE Attention: A Strictly Linear-Time Attention Layer for Training on Outrageously Large Contexts cosFormer: Rethinking Softmax in Attention

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:11:14.672929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 875f034e-4fa3-40dd-bf2b-aa999779e91a · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cosFormer: Rethinking Softmax in Attention

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:55:52.293805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93fec85e-08d5-45e3-a9f9-64e6833dc1e3 · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cosFormer: Rethinking Softmax in Attention

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:11:15.632705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f23c940a-c470-4c2e-96bd-3fbb9730c5d9 · inbound

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

Attention to Mamba: A Recipe for Cross-Architecture Distillation cosFormer: Rethinking Softmax in Attention

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:08:24.893374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70868a02-ccef-4368-b097-4fda070509ac · inbound

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

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cosFormer: Rethinking Softmax in Attention

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:35.302922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ee28349-cc26-4348-826d-acb0840e0ffb · inbound

Blurry Window Attention cites this paper.

Blurry Window Attention cosFormer: Rethinking Softmax in Attention

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:14.002105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97a13242-9f38-41bc-9ac4-483edc6c57ac · inbound

The Key to Going Linear: Analysis-Driven Transformer Linearization cites this paper.

The Key to Going Linear: Analysis-Driven Transformer Linearization cosFormer: Rethinking Softmax in Attention

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T01:45:50.807122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe6ddc97-a774-430b-b333-1c1bee611cf0 · inbound

Lapis: Laplacian Spiking Attention via First-Spike Timing and Membrane Leakage cites this paper.

Lapis: Laplacian Spiking Attention via First-Spike Timing and Membrane Leakage cosFormer: Rethinking Softmax in Attention

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:31:33.523859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.