Paper Citation Record · LEDGER

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2212.06713.

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

pith.paper-citation-record.v1
2212.06713 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:31:49.635788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:22:08.944336Z

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 aef5268c-3d53-438a-9b56-6ec19a4dab27 · inbound

PaLI-X: On Scaling up a Multilingual Vision and Language Model cites this paper.

PaLI-X: On Scaling up a Multilingual Vision and Language Model Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:36:10.066909Z

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 1ada1392-5218-49c4-aa60-9aeb96d2ffb2 · inbound

Retentive Network: A Successor to Transformer for Large Language Models cites this paper.

Retentive Network: A Successor to Transformer for Large Language Models Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:29:59.865378Z

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 d42a767e-55cb-4a96-bd8a-3c64ed5d88d9 · inbound

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation cites this paper.

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T19:31:49.635788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a80fb7c-d161-4a71-ac00-956f26d59d1e · inbound

In-Context Learning (and Unlearning) of Length Biases cites this paper.

In-Context Learning (and Unlearning) of Length Biases Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T14:48:52.546208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ce86d2-f281-4e86-88fb-8132e564bfc9 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:08.947253Z

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 ee3109cd-b159-4d21-bff7-53a521ba2235 · inbound

Exploring In-context Example Generation for Machine Translation cites this paper.

Exploring In-context Example Generation for Machine Translation Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:51.881370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24fca87-565f-40b9-a7f3-1fac78b68f44 · inbound

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis cites this paper.

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:13.570245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9611d3c9-7e26-4b39-9233-d0419d37f5eb · inbound

Towards Compute-Optimal Many-Shot In-Context Learning cites this paper.

Towards Compute-Optimal Many-Shot In-Context Learning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:38.648781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b6face-b88e-47ce-94dc-ab36ccb882d4 · 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 Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:43:45.931534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6eb0b7-8d6a-486c-8726-75aca7c61064 · inbound

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities cites this paper.

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T05:49:49.908118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b14da5-14d8-433a-80c5-31688df9c1a8 · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T05:46:05.881750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05fca705-b70b-43a8-b5b4-7ad50a31aade · inbound

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization cites this paper.

ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.784801Z

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 b28ed8c0-3d2e-4979-b3ab-b39a46dff738 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 243

Resolution: unresolved; no resolver link, observed 2026-08-01T16:08:01.093162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.