Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MetaICL: Learning to Learn In Context
As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2110.15943.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-20T06:30:07.809122+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T07:14:26.441339Z
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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+00:00.
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 2026-07-20T06:30:07.809122+00:00.
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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+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 2026-07-20T06:30:07.809122+00:00.