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Paper Citation Record · LEDGER

Benign Overfitting in Token Selection of Attention Mechanism

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.17625.

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

pith.paper-citation-record.v1
2409.17625 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:39:55.078557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:52:25.788543Z

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 27895490-f6d5-404a-ac19-e0b2a9814f1a · inbound

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias cites this paper.

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Benign Overfitting in Token Selection of Attention Mechanism

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:39:55.078557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:39:55.078557Z digest=sha256:10215e6c8a15ebddbb9810125a58bfe00b3ca02f7919bc2ffecc4e5177924864

Observation 9d5a9e67-e854-48e0-9386-f3c7604c95f2 · inbound

Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.

Benign Overfitting in Adversarial Training for Vision Transformers Benign Overfitting in Token Selection of Attention Mechanism

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:18.863372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T02:58:29.672338Z digest=sha256:9873967b9f2689ee4d8e66938615e83e927233a2474fdcb23c50dbd445b14d88

Observation 222467bf-20f6-4052-83d6-4dab7c931437 · inbound

When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias cites this paper.

When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias Benign Overfitting in Token Selection of Attention Mechanism

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:56:07.667882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T13:12:58.988440Z digest=sha256:ef1e7ced0580235e3af1d75e2b8a926303c28deb6b26cab5b5c45e95d2888727

Observation 56395c35-a2cd-4009-8557-3aa422a8dd50 · inbound

When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias cites this paper.

When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias Benign Overfitting in Token Selection of Attention Mechanism

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:52:25.791828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T06:49:46.350099Z digest=sha256:17a0aeee4c31282f2b72f227ed7a2a97b89515de02e2fa628bbe6b28ea035b12