Paper Citation Record · LEDGER

Re-examining learning linear functions in context

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2411.11465.

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

pith.paper-citation-record.v1
2411.11465 v4

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:35:15.937810Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T21:58:28.070835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:01:52.055202Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy11
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1927f9b5-355d-4c2f-8afa-eabfbd936fa0 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 45614–45650 (2023).

Re-examining learning linear functions in context Advances in Neural Information Processing Systems 36, 45614–45650 (2023)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.575404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89a7a466-7141-483e-bce5-a15dcddd5ef0 · outbound

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

Re-examining learning linear functions in context What learning algorithm is in-context learning? Investigations with linear models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.762749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e554670a-0f7a-4566-ab32-b82f98c9cc2a · outbound

This paper cites In: 12th Joint Conference on Lexical and Computational Semantics (*Sem).

Re-examining learning linear functions in context In: 12th Joint Conference on Lexical and Computational Semantics (*Sem)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.555894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c633eb3d-819e-45e8-a642-c93b8447955d · outbound

This paper cites Advances in neural information processing systems 36 (2024).

Re-examining learning linear functions in context Advances in neural information processing systems 36 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.532008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f210b69-c1e9-43d8-a9c9-fee74af717e5 · outbound

This paper cites Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.

Re-examining learning linear functions in context Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.781711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49bdd5f-d8fe-4fa9-99fb-957c00702a2f · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

Re-examining learning linear functions in context Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.787724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1aed684-cbd7-4a42-9ca6-fba7188ed0ae · outbound

This paper cites A Survey on In-context Learning.

Re-examining learning linear functions in context A Survey on In-context Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.795109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba895f2d-0c95-445e-ba0f-6d3163ea9897 · outbound

This paper cites Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression.

Re-examining learning linear functions in context Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.801784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfaa2aa-5c94-4554-8672-a3b0d58ecb16 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 30583–30598 (2022).

Re-examining learning linear functions in context Advances in Neural Information Processing Systems 35, 30583–30598 (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.498192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1c9b27e-6001-4152-9f6f-a7a8989e7263 · outbound

This paper cites How Well Can Transformers Emulate In-context Newton's Method?.

Re-examining learning linear functions in context How Well Can Transformers Emulate In-context Newton's Method?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.813064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca97afd2-2218-437f-9deb-1eef7652e007 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Re-examining learning linear functions in context Adam: A Method for Stochastic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.819329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6357edfa-b4e9-4d4c-b282-9e8f932f1c39 · outbound

This paper cites an unresolved cited work.

Re-examining learning linear functions in context Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:35:16.480315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 761a02ba-6dfa-4007-8704-a2658a6ebc45 · outbound

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

Re-examining learning linear functions in context One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.834501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7023696a-9df0-4172-af07-910a6a464616 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Re-examining learning linear functions in context GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.843020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c00b18a-93f5-4c27-96f3-2dc08aaa7fc1 · outbound

This paper cites In: ECAI 2024, pp.

Re-examining learning linear functions in context In: ECAI 2024, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.459624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd94b566-7205-4803-9313-fb000bee459f · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Re-examining learning linear functions in context Progress measures for grokking via mechanistic interpretability

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.858902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0febd8d-ec39-4286-a850-30a05e89044e · outbound

This paper cites In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023).

Re-examining learning linear functions in context In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.441766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d3389f1-c0df-4459-9168-6eee5e7c1877 · outbound

This paper cites In-context Learning and Induction Heads.

Re-examining learning linear functions in context In-context Learning and Induction Heads

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.871432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc795d3-bdfc-4a3b-8c39-00265c2af0b5 · outbound

This paper cites In-Context Learning through the Bayesian Prism.

Re-examining learning linear functions in context In-Context Learning through the Bayesian Prism

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.877579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da707730-e61f-4d54-a359-f43d50110f01 · outbound

This paper cites Journal of Machine Learning Research 22(75), 1–35 (2021).

Re-examining learning linear functions in context Journal of Machine Learning Research 22(75), 1–35 (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.422054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7364b03-2252-43b0-8fe9-636fc4c21c14 · outbound

This paper cites OpenAI blog 1(8), 9 (2019).

Re-examining learning linear functions in context OpenAI blog 1(8), 9 (2019)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.889857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f06e367-c44f-4687-b25a-5fe0520cf9d4 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024) 14 Omar Naim, Guilhem Fouilhé, and Nicholas Asher.

Re-examining learning linear functions in context Advances in Neural Information Processing Systems 36 (2024) 14 Omar Naim, Guilhem Fouilhé, and Nicholas Asher

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.389988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18b02a72-f861-4ec3-9d2d-7b6a8fbb0d47 · outbound

This paper cites In: International Conference on Machine Learning.

Re-examining learning linear functions in context In: International Conference on Machine Learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.369143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdb5b179-97c4-438d-899e-909320fac7a8 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Re-examining learning linear functions in context Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.906557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a62a2d-6c0f-434b-8130-f83f8b3de419 · outbound

This paper cites How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?.

Re-examining learning linear functions in context How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.912984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5334ed-dda0-442f-b400-c70dbeac0dde · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Re-examining learning linear functions in context An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.919063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36136142-e5e6-44d5-b387-54f26b569cd6 · outbound

This paper cites Journal of Machine Learning Research 25(49), 1–55 (2024).

Re-examining learning linear functions in context Journal of Machine Learning Research 25(49), 1–55 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.349501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74b37a5f-2c6d-440f-b64e-e44a8bc5c4cf · outbound

This paper cites What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

Re-examining learning linear functions in context What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-08-12T18:35:15.932080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fcbb494-30b8-4c84-b11c-6e388b94fad9 · outbound

This paper cites If we do this, the value predicted will be 0.15 for the first input, which is far from 0.4 and 0.3 instead of 0.5 for the second example.

Re-examining learning linear functions in context If we do this, the value predicted will be 0.15 for the first input, which is far from 0.4 and 0.3 instead of 0.5 for the second example

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:35:16.329093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 08f442f4-d579-4305-ac03-eef7104ee17b · inbound

SSA: Improving Performance With a Better Scoring Function cites this paper.

SSA: Improving Performance With a Better Scoring Function Re-examining learning linear functions in context

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:01:52.057797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2ff436c-a8a2-4492-baa4-d5a7cd049f63 · inbound

COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following cites this paper.

COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following Re-examining learning linear functions in context

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:51:50.915957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.