Paper Citation Record · LEDGER

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.17086.

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

pith.paper-citation-record.v1
2310.17086 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:35:15.801784Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 49dd6ec9-ee59-4f29-8caa-5f85df33b0d0 · inbound

A Survey on In-context Learning cites this paper.

A Survey on In-context Learning Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:58:27.487969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba895f2d-0c95-445e-ba0f-6d3163ea9897 · inbound

Re-examining learning linear functions in context cites this paper.

Re-examining learning linear functions in context Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.801784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7e2650-2032-488a-ae80-9a59cb7a5483 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.288745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9294d641-9d0f-49ff-96f0-362a3c9ebb28 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.685820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00cb27b5-37c8-48ab-95a7-7413b5cbb2fc · inbound

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression cites this paper.

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:10:17.457484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d4c8743-49e4-4790-82b5-8d910ac3ad39 · inbound

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch cites this paper.

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T00:51:41.905788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.