Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:15.643065Z

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
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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

Resolution: metadata mismatch; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified exact; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified exact; 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 2026-08-07T06:34:17.273281+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.