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Paper Citation Record · LEDGER

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2208.01066.

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

pith.paper-citation-record.v1
2208.01066 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:12:19.813203Z

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

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External citation measurements

59
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 cdb9c244-c02e-47b9-beed-8cabd65cd457 · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 188

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arxiv_id, observed 2026-05-15T09:51:46.854596Z

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.

source=arxiv_source observed=2026-05-15T09:51:46.701149Z digest=sha256:c226cfd07083bf5f9312e605a2b91d52bc9edd8350970f133dc48f53999e1b3b

Observation cf00f16e-5150-4bcb-8946-e16abb949c1b · inbound

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

What learning algorithm is in-context learning? Investigations with linear models What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 11

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arxiv_id, observed 2026-05-17T13:40:33.945147Z

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.

source=arxiv_source observed=2026-05-17T13:40:33.889712Z digest=sha256:60e45d3fad04ba9679204d3058e1c4dd8195f51736dde12a4a473cfc38c1fd67

Observation e311b2af-b77d-4843-8f8d-9661f34e8b51 · inbound

In-context denoising with one-layer transformers: connections between attention and associative memory retrieval cites this paper.

In-context denoising with one-layer transformers: connections between attention and associative memory retrieval What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:12:19.813203Z digest=sha256:c5967408cd2d01de1748d579e7c2e36c598ebdafd586e7fc2ee4f45da95866ec

Observation ea4dc51c-bfae-4043-ae2b-682ddb3ae7c1 · 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 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 171

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arxiv_id, observed 2026-05-20T13:35:02.244418Z

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.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:a3bd5a5e9d2bec4f276ef23ca1990778fb2626a59de7748317ab07dbb559780f

Observation 5bd1963e-e1a8-4f98-83dc-0f653d46fe17 · inbound

In Context Learning with Vision Transformers: Case Study cites this paper.

In Context Learning with Vision Transformers: Case Study What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 1

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no resolver link, observed 2026-08-07T13:52:15.643065Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:15.643065Z digest=sha256:82f3e75339ad2f83459e10766c8673d4c44ee4ba4bb4b7a5a8f749490b39bfbc

Observation 024cab8f-b061-4b05-92cd-9b2032aa1505 · inbound

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques cites this paper.

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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no resolver link, observed 2026-08-07T05:38:35.365797Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:35.365797Z digest=sha256:b924047d11591fd5c9c530f1753305ae136db2e2292a8b2a81223efd36df7339

Observation 83f1bbe1-ef29-4705-89d6-2d22e9a75762 · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 77

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no resolver link, observed 2026-08-06T21:38:16.041875Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:16.041875Z digest=sha256:087d84059e8fc3224cc4c6ec6cbb0fff832e3e68669222f9c9bc8b106b260861

Observation 258ea24e-1585-4f6f-8387-22cc6fcad34b · inbound

Context Tuning for In-Context Optimization cites this paper.

Context Tuning for In-Context Optimization What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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no resolver link, observed 2026-08-06T19:59:19.613893Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:59:19.613893Z digest=sha256:3d0ebdb37f1449dee9617a6380761c6dd7d8ac2bafa0cfc569d82073bbb968a1

Observation 949a9976-c58b-4668-aba9-159d7e45e536 · inbound

Transformers Don't In-Context Learn Least Squares Regression cites this paper.

Transformers Don't In-Context Learn Least Squares Regression What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 8

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no resolver link, observed 2026-08-06T18:03:14.943494Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:03:14.943494Z digest=sha256:7bf37c0605e7c10ca6d3ba4bb3250522f77ed32c4d6fcc9cc132b263fa78aaa9

Observation 61bfdefd-a9c0-4be3-9bd8-766e28e29ed0 · inbound

LLMs are Bayesian, In Expectation, Not in Realization cites this paper.

LLMs are Bayesian, In Expectation, Not in Realization What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 5

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no resolver link, observed 2026-08-06T17:10:01.336608Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:01.336608Z digest=sha256:b28e6292cd70f396eba00e6a2c19285774e47da9c41ff5bfe2f671ea196580fa

Observation 5c67e761-1f4e-45f8-b811-9a54c4d75257 · inbound

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need cites this paper.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 34

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no resolver link, observed 2026-08-06T16:17:41.267606Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:17:41.267606Z digest=sha256:a0bdeffcc8e867f1e691fffacec219187244fd75f63c852e21fa550cba4599bc

Observation 5decba14-dac5-43e8-8709-73a644e97584 · inbound

Customizing the Inductive Biases of Softmax Attention using Structured Matrices cites this paper.

Customizing the Inductive Biases of Softmax Attention using Structured Matrices What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 19

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no resolver link, observed 2026-08-04T21:33:56.521170Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:33:56.521170Z digest=sha256:e5fa4ca1d1b5d446eb0c3d953047b8a1ca2922360c1559677657d613f75392ac

Observation fcc74421-141d-4bda-9901-5c42464dc153 · inbound

ICR-RL: Deep Reinforcement Learning via In-Context Regression cites this paper.

ICR-RL: Deep Reinforcement Learning via In-Context Regression What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 7

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no resolver link, observed 2026-08-04T16:52:10.272420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:52:10.272420Z digest=sha256:b972e9307c00833d59431a1b4e547880904500becbfcfaab1a7016b922fabff5

Observation 4f11315c-2e1f-4c7c-8bc7-61d0ff547523 · inbound

Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability cites this paper.

Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 7

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no resolver link, observed 2026-08-04T07:21:34.326253Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:21:34.326253Z digest=sha256:599a80f2478c37f81a6f5f698dcf226ed6350b2383a9079d08ef0434f5a5e036

Observation ff40bd46-9ffb-4523-8ac8-07950662b932 · inbound

Jacobian Scopes: token-level causal attributions in LLMs cites this paper.

Jacobian Scopes: token-level causal attributions in LLMs What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 2024

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no resolver link, observed 2026-08-03T08:38:37.436234Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:38:37.436234Z digest=sha256:72e5c51b078bb617af9535e6d239f60698900dcddd3e634e101e2e17868c6535

Observation f3f7adea-80df-457c-9be5-c6befcb79191 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T20:36:09.546744Z

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.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:014e400a79b5f2a04eed877c310230dabf2dc7204f50014146609670561adfa9

Observation 5e083d39-ecb2-4e7c-8d1d-6ec57a794724 · inbound

Spectral Transformer Neural Processes cites this paper.

Spectral Transformer Neural Processes What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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verified exact
arxiv_id, observed 2026-05-12T06:41:34.613699Z

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.

source=pdf_text observed=2026-05-12T04:04:14.880310Z digest=sha256:f8507d8bb8931aa0a0e4401f6568cb475b8c4f8f52151a91d49c342f429f334c

Observation 9375efff-722e-483a-9844-b7ac7a0e4793 · inbound

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning cites this paper.

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 7

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verified exact
arxiv_id, observed 2026-05-12T06:56:32.102101Z

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.

source=pdf_text observed=2026-05-12T03:46:21.786972Z digest=sha256:efa9fd6b3955e25f69771f4101adb41f769b363c4f42779bab40825d7f1bef87

Observation a14008e6-f011-4c9b-ad2a-15400aa997af · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 120

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verified exact
arxiv_id, observed 2026-06-28T14:32:18.122600Z

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.

source=arxiv_source observed=2026-06-28T14:25:43.147442Z digest=sha256:515a1d5d17397fb6156a96df27459accd7d36668d85643fb272b9efd69828ea9

Observation b75008fa-e823-4c9d-a88c-0b752f9070cd · inbound

Pretraining Curricula Enable Selective Fine-tuning cites this paper.

Pretraining Curricula Enable Selective Fine-tuning What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 16

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no resolver link, observed 2026-07-11T12:36:24.747752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:88fdd2d671b4c9cd9f444062778b70975d078793262c42cb3af0623fb57ed60b

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

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

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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no resolver link, observed 2026-08-01T22:19:53.798648Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:19:53.798648Z digest=sha256:dc9420c2f5a2730dec72baa94939194d2afdc25fe440c4a1baba7c5ed70a20bb

Observation aeb88158-ecf7-49e0-8a70-a6bc81f1f4eb · inbound

Entangled by Design: Spurious Intra-Variable Signal Routing in Tabular In-Context Learners cites this paper.

Entangled by Design: Spurious Intra-Variable Signal Routing in Tabular In-Context Learners What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 2022

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no resolver link, observed 2026-08-01T02:16:26.987736Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:16:26.987736Z digest=sha256:e77b232bbdf09fe96810c01ce14c5dccc855e52e3451c0b2e0ef806be0d7556b