Paper Citation Record · LEDGER

MetaICL: Learning to Learn In Context

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2110.15943.

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

pith.paper-citation-record.v1
2110.15943 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:41.052656Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:43.714296Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4d14c871-3170-4cc5-8960-3d53fd2b96e3 · inbound

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning MetaICL: Learning to Learn In Context

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:31:08.328755Z

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.

Observation 2b18b2f4-47b0-4b94-b739-f752e4157c55 · inbound

Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision MetaICL: Learning to Learn In Context

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:34:08.341197Z

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.

Observation baf576d6-4323-43f0-ba5b-ccfd400c0783 · inbound

REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.

REPLUG: Retrieval-Augmented Black-Box Language Models MetaICL: Learning to Learn In Context

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:41:54.079829Z

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.

Observation 5174c63a-b55f-43e2-9d66-b8b9feada891 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models MetaICL: Learning to Learn In Context

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:03:06.171842Z

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.

Observation 1fbcf82c-3cd0-4783-912a-ed6316d9bf0e · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs MetaICL: Learning to Learn In Context

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:29:53.569128Z

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.

Observation 067f1dd5-8579-442f-af1d-6e8864e0f53f · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models MetaICL: Learning to Learn In Context

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.280121Z

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.

Observation 99f9f3df-09e5-44a6-b359-82d11c0c5746 · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds MetaICL: Learning to Learn In Context

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:41.052656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd01ff87-3002-494c-88dc-30e87fd472f9 · inbound

Can Gradient Descent Simulate Prompting? cites this paper.

Can Gradient Descent Simulate Prompting? MetaICL: Learning to Learn In Context

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:51.318718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4204ce4-f8c1-4b0c-b9b1-a93e253a8f40 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence MetaICL: Learning to Learn In Context

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:14.791572Z

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.

Observation a67a5705-2fb3-423c-bfd2-9cc976802a68 · inbound

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer cites this paper.

DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer MetaICL: Learning to Learn In Context

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:43:48.125113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc43ba46-01f2-4a39-a9ee-9e08215123ca · inbound

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation MetaICL: Learning to Learn In Context

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T00:55:58.689743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd58d69-3da0-4b19-8f2d-ad6174d0d6f7 · 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 MetaICL: Learning to Learn In Context

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T14:44:28.126452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bf8e2bb-386b-424e-8cd8-5854ade764b1 · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos MetaICL: Learning to Learn In Context

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:51:36.039660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bce674-6557-48fd-b743-f82b92e071a9 · inbound

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention cites this paper.

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention MetaICL: Learning to Learn In Context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:23.170294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3619b0-da1c-4440-95d8-5573ff168a83 · inbound

Agentic Services Computing cites this paper.

Agentic Services Computing MetaICL: Learning to Learn In Context

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-04T14:41:50.786530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167d2184-8aa4-4764-b1e8-414a9bf756c9 · inbound

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning cites this paper.

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning MetaICL: Learning to Learn In Context

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T11:17:08.477291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d94495-30bd-4f88-8bc2-6e7bf3ffb47b · inbound

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding cites this paper.

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding MetaICL: Learning to Learn In Context

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:58.874494Z

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.

Observation 42e0a5f7-03f9-4598-8f66-9a5539d13e87 · inbound

Learning to Adapt: In-Context Learning Beyond Stationarity cites this paper.

Learning to Adapt: In-Context Learning Beyond Stationarity MetaICL: Learning to Learn In Context

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:45:59.355223Z

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.

Observation 1bd083a9-4840-4017-ba38-65d4960086bb · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models MetaICL: Learning to Learn In Context

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:43.716299Z

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.