Paper Citation Record · LEDGER

cosFormer: Rethinking Softmax in Attention

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T01:44:40.722957Z

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 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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+00:00.