Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:19:54.467641Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.15819.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:19:54.467641Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
14 of 14 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6d947ce2-2b87-4fbe-8d24-3f6fddc3fa14 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention What learning algorithm is in-context learning? Investigations with linear models
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80533f9c-b332-4a17-ac86-896c63ddd866 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdc6ee46-e2eb-475c-9129-19ee3ee1bd19 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Language Models are Few-Shot Learners
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9826500b-d439-411f-a5ba-babb80ea6390 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9237aa7a-a605-49ac-93e5-d11e4f3e1dac · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea8fdc47-2f64-4d75-9282-d2b96bfa7c9e · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Hagiwara, ‘Effect of bias matrix in linear self-attention for in-context learning”, IEICE Trans
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7f69787-ae94-43f7-b508-827c05c03e51 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Deep Residual Learning for Image Recognition
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39c4c4ee-0515-4a68-a996-215aa84d4945 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Multilayer feedforward networks are universal approximators
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 739cf631-4c6d-4bce-a588-6b949ebfb345 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention ImageNet classification with deep convolutional neural networks
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fba34b91-0d3c-4eba-890b-989f0ed7c938 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 937cce38-7c21-47f1-8935-1769e2e8f247 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Transformers learn in-context by gradient descent
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d32aa13d-cfde-43a9-ad2b-4ab39d557381 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Attention Is All You Need
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbcd43ba-1ff3-4ad3-acc6-e10d7833b62d · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Trained transformers learn linear models in- context
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c033295b-622d-45be-aa67-df9fb13fcb64 · outbound
In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention A first course in linear model theory
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.