Paper Citation Record · LEDGER

Data Distributional Properties Drive Emergent In-Context Learning in Transformers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2205.05055.

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

pith.paper-citation-record.v1
2205.05055 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:33.247733Z

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
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

52
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 846f9e1e-8b42-444b-9941-d020166a3b2f · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:38:37.918130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98fa9fe2-fd9d-4626-880f-7f2610af7600 · 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 Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:40:33.959718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1cd5043-7575-43aa-aa92-0dceebb0e4ba · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 151

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:55.965179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ee8578b-487e-45d9-885b-244d93f5862f · inbound

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers cites this paper.

ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:58:33.247733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705639cc-4779-47f9-8337-93aed28b3e82 · inbound

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence cites this paper.

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:53.951093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f124717c-d578-4f3a-aeba-a94ac95f1686 · 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 Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:15.949632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20be7d55-186f-4c11-abad-2197511b123d · inbound

Can Interpretation Predict Behavior on Unseen Data? cites this paper.

Can Interpretation Predict Behavior on Unseen Data? Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:28.154041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db2d627-b3d5-464d-9bfa-9586837424c6 · inbound

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning cites this paper.

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T11:16:36.556619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc887d98-fdb6-4f8f-b97e-be3a2a2778b5 · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T14:44:28.065789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 174cb64a-d71a-4b89-a947-4d1f0141c208 · inbound

PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval cites this paper.

PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:35:17.621368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24a9053d-893f-4e97-b11b-01144b9bc739 · inbound

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology cites this paper.

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:07:08.153791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.