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Paper Citation Record · LEDGER

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.11427.

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

pith.paper-citation-record.v1
2608.11427 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:24:22.204288Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 714219bf-e271-414a-a703-2e918c327531 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Advances in Neural Information Processing Systems , volume =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:22.102123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:24:22.102123Z digest=sha256:c1eb279c2d92caee0f7dd04ce46d256ccc5609c13ba066f91e653ffb1370238c

Observation c7cce026-91ec-4612-a68f-e399ff40d872 · outbound

This paper cites Transformers are.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Transformers are

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:22.108495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:24:22.108495Z digest=sha256:dccf68cbaa4fadf49a6ce04fdd7b7752f46770763bf37eef466bec72cd0fe567

Observation 362aa51e-2c7f-4b76-b478-9228ef8f304c · outbound

This paper cites International Conference on Learning Representations , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Learning Representations , year =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:22.114986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:24:22.114986Z digest=sha256:715ceba1e2bc8e071ef02e998e03e4a50af4806699c6a8a09fe74266b30a5a00

Observation 64cb5711-fc98-48b9-83c7-3eb2b5a24459 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Advances in Neural Information Processing Systems , volume =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.704054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.120829Z digest=sha256:6883eb40c015cb2b5c01b8d0a197ce33388fa4d8b2b6c8fbfd8bcb605c09c8b3

Observation c5ecc8be-2e53-4317-bed4-71f460fcee00 · outbound

This paper cites International Conference on Machine Learning , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Machine Learning , year =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.682380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.127607Z digest=sha256:13128c698c82222ec812bbc76e4f5f1c13858b64dcb46817554f16ea50fed3da

Observation 82c5f66b-85ed-4825-bd28-548be674c7ee · outbound

This paper cites International Conference on Machine Learning , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Machine Learning , year =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.659283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.132591Z digest=sha256:6df2b7d988f9e8f236d82ffa531b9518b903a73fb2372c6afd6fb62e728985e9

Observation 9e76772a-1fcc-4170-aa14-14c28114ac2b · outbound

This paper cites International Conference on Learning Representations , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Learning Representations , year =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.635871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.138747Z digest=sha256:62e8b79e6423d603e6c0b30eb619ecbcb280789959ecb14a08cadaaaf765890a

Observation 3ab79cd5-de30-4692-9c23-7cfc38850401 · outbound

This paper cites International Conference on Learning Representations , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Learning Representations , year =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.613350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.144789Z digest=sha256:d77a87788a8393435a7ffb208d451ee53f5c55edeb06ad49f42d5922af842208

Observation 54b02d68-075d-4fdd-889d-1095ebacb8c7 · outbound

This paper cites Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T14:24:22.501399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.150540Z digest=sha256:0fe62402881119a87cfd9aa8b1a3ae39d79a2253220b0b98a4c4ee7c9333c9e9

Observation bc6eff46-d745-4d98-a0c5-3b6c441a479d · outbound

This paper cites Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:22.156655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:24:22.156655Z digest=sha256:8fec0d4c1c63d6dc204b1877fe8832ba0640c110ddc33111a0bfeffe008692fa

Observation 5cf10503-badf-4693-8588-f5d62a4cbfb6 · outbound

This paper cites Near-Optimal Dimension Lower Bounds for Single-Vector Embeddings of Maximum Inner Product Similarity.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Near-Optimal Dimension Lower Bounds for Single-Vector Embeddings of Maximum Inner Product Similarity

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T14:24:22.407407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.164724Z digest=sha256:4e77d56d206298e5f1eaa0ab7a641847dcbc440daaa2c15d98e4bde27ef6b11c

Observation 2df22f83-c34c-4ec0-b74a-33cb52b57717 · outbound

This paper cites International Conference on Learning Representations , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Learning Representations , year =

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.592348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.176779Z digest=sha256:3dbe5af99be49631738e57d884f870d5e16316adcbd95a36a4b4bcb5d244d250

Observation 77dc0789-70f0-4622-b18f-c43509339596 · outbound

This paper cites arXiv preprint arXiv:2602.01763 , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention arXiv preprint arXiv:2602.01763 , year =

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-15T14:24:22.369038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.182827Z digest=sha256:3a8e34ee9138e41c86b7fb2ec3c6a46f27ed7c2a011896b7d333064f053b7bab

Observation ddcfcbd3-e904-46c5-b2d2-f8f37eadf453 · outbound

This paper cites an unresolved cited work.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T14:24:22.571142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.187880Z digest=sha256:6b94bd6929874a0605fb80edbda5bcf41a5bae419a42ce36b4040b7d47d8efa8

Observation fa052bde-5ad8-4fc1-8cb8-50b5f9d0abc4 · outbound

This paper cites International Conference on Machine Learning , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention International Conference on Machine Learning , year =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.547473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.192906Z digest=sha256:64143c4042a2a211b14953f82b78444c314bd0f84c48cabf875f641e7f861fbc

Observation 2e5a8ce4-829c-417d-ab9e-9c8e28304f24 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention Advances in Neural Information Processing Systems , year =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T14:24:22.525223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.198119Z digest=sha256:36047186af1a4cd0347956dd1e1db02043feefb45625fb0ceb765a491464647e

Observation 9dae700b-9291-47e3-acb8-d17f1a3d7fe4 · outbound

This paper cites The Impossibility Triangle of Long-Context Modeling.

Three Tokens Force Exponential Feature Rank in Nonnegative Kernel Attention The Impossibility Triangle of Long-Context Modeling

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T14:24:22.259558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T14:24:22.204288Z digest=sha256:4f9e869c2101b9b8e029ce9b9366223dcbbe1bafe39ec6d27ad26f1db6009db2

Pith citing papers

No inbound Pith citation observations are available.