Paper Citation Record · LEDGER

Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.05189.

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

pith.paper-citation-record.v1
2411.05189 v2

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:42:08.805009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:52:15.013590Z

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 5d7f1b81-2cdc-4b17-a1af-749a4644f8a3 · inbound

Training Dynamics of In-Context Learning in Linear Attention cites this paper.

Training Dynamics of In-Context Learning in Linear Attention Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:42:08.805009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f57dfd-6d70-4a5c-a599-16d465727300 · inbound

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses cites this paper.

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.015172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06ab2498-a994-4eb3-9fd8-aa08e0b8d770 · inbound

How Can Mamba Learn In Context with Outliers and Generalize Provably? cites this paper.

How Can Mamba Learn In Context with Outliers and Generalize Provably? Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T13:29:29.118102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f573543-63ae-40ac-a31b-09da3d502a19 · inbound

Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent cites this paper.

Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:09.630674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.