Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14951.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:16:20.035595Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:22:35.277252Z
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 70821f6a-6323-4e15-b203-24cd5a429a5c · inbound
Is In-Context Universality Enough? MLPs are Also Universal In-Context cites this paper.
Is In-Context Universality Enough? MLPs are Also Universal In-Context In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:16:20.035595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98b5466-2e58-4226-8525-634a1a1a3d1b · 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 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.569363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d75e15ca-415b-407d-8373-32861bdf2b94 · inbound
Looped Transformers with Layer Normalization Provably Learn the Power Method cites this paper.
Looped Transformers with Layer Normalization Provably Learn the Power Method In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T19:22:35.278749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.