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Paper Citation Record · LEDGER

In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention

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.

pith.paper-citation-record.v1
2607.15819 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:19:54.467641Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d947ce2-2b87-4fbe-8d24-3f6fddc3fa14 · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

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

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source=pdf_text observed=2026-08-01T22:19:53.336641Z digest=sha256:a9d212ecabe3dd311db2f07b61bd631ce7c9f8c32fe9e3084c4e2112de96d7dd

Observation 80533f9c-b332-4a17-ac86-896c63ddd866 · outbound

This paper cites Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

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

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source=pdf_text observed=2026-08-01T22:19:53.480915Z digest=sha256:bad119500824411faec8bd0878630dca5c19bec59aad8df8f03929b639c0dfa1

Observation cdc6ee46-e2eb-475c-9129-19ee3ee1bd19 · outbound

This paper cites Language Models are Few-Shot Learners.

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

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source=pdf_text observed=2026-08-01T22:19:53.635773Z digest=sha256:20df9ca84f1b37d1fdc2042faff6e8e18131a70512bc986b1f7d9189d4a62092

Observation 9826500b-d439-411f-a5ba-babb80ea6390 · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

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

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source=pdf_text observed=2026-08-01T22:19:53.717359Z digest=sha256:589771672de5471ded751c112cb4dc5148aeb7abd7d18212b29f599ad4d0fb70

Observation 9237aa7a-a605-49ac-93e5-d11e4f3e1dac · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

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

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source=pdf_text observed=2026-08-01T22:19:53.798648Z digest=sha256:e2b6d9bdea3b39f2377404c9707b4609a241953f506f85de9c572a1beb78871a

Observation ea8fdc47-2f64-4d75-9282-d2b96bfa7c9e · outbound

This paper cites Hagiwara, ‘Effect of bias matrix in linear self-attention for in-context learning”, IEICE Trans.

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

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source=pdf_text observed=2026-08-01T22:19:53.878707Z digest=sha256:f4168642136dcea6ad4069c1618d2dc89ccb81b0b0c4c67f60468a1b98ec8d01

Observation d7f69787-ae94-43f7-b508-827c05c03e51 · outbound

This paper cites Deep Residual Learning for Image Recognition.

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

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source=pdf_text observed=2026-08-01T22:19:53.936375Z digest=sha256:329688fc0c62b66ce75bd9960c67e0fce33121ec26c522390adbd7933fcb3da0

Observation 39c4c4ee-0515-4a68-a996-215aa84d4945 · outbound

This paper cites Multilayer feedforward networks are universal approximators.

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

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source=pdf_text observed=2026-08-01T22:19:53.995765Z digest=sha256:c85dd709d65045ab92b69f9ad06e269085ef72f3043a59c46747475d50139919

Observation 739cf631-4c6d-4bce-a588-6b949ebfb345 · outbound

This paper cites ImageNet classification with deep convolutional neural networks.

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

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source=pdf_text observed=2026-08-01T22:19:54.064937Z digest=sha256:fce05a2a635aecb8ec6313cc781128e40911f33a82b26aa6cecee6d40ba0bdc2

Observation fba34b91-0d3c-4eba-890b-989f0ed7c938 · outbound

This paper cites One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention.

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

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source=pdf_text observed=2026-08-01T22:19:54.130585Z digest=sha256:bf5a510fbeac0551bb9eb68f5f42b02cf7fcc7bddccfced479b891052bb01164

Observation 937cce38-7c21-47f1-8935-1769e2e8f247 · outbound

This paper cites Transformers learn in-context by gradient descent.

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

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source=pdf_text observed=2026-08-01T22:19:54.206559Z digest=sha256:b18899a4eb5faefe9698478ad75ea9514ce5d72831413f072b4d608b2af5f98a

Observation d32aa13d-cfde-43a9-ad2b-4ab39d557381 · outbound

This paper cites Attention Is All You Need.

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

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source=pdf_text observed=2026-08-01T22:19:54.238369Z digest=sha256:f061f7a8a339929a44402ffa982b1e428a436c5239ff20c7b4b4d0646dfafbee

Observation fbcd43ba-1ff3-4ad3-acc6-e10d7833b62d · outbound

This paper cites Trained transformers learn linear models in- context.

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

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source=pdf_text observed=2026-08-01T22:19:54.392217Z digest=sha256:29091e204c06a6649dd870a1c01f0ab5fd8d937a5f260df7e86236834b995f55

Observation c033295b-622d-45be-aa67-df9fb13fcb64 · outbound

This paper cites A first course in linear model theory.

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

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source=pdf_text observed=2026-08-01T22:19:54.467641Z digest=sha256:e219b3d7baedc81d7c51264a21bc34c09fd4588b950aca665ae24328d87ce687

Pith citing papers

No inbound Pith citation observations are available.