Paper Citation Record · LEDGER

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2212.10375.

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

pith.paper-citation-record.v1
2212.10375 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:19.473235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T09:29:27.651004Z

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 3ad79c35-9f53-4d78-8a93-4e392b59050c · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:29:27.653950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e682bfe-21a7-439e-8c59-5793f66f5368 · inbound

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:55:19.473235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aad04a6-6109-44b6-be93-8f56153d5371 · inbound

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models cites this paper.

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:30.430572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c474b0-8ec8-40d5-aa34-16241a01a799 · inbound

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences cites this paper.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.706134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91180e31-9855-4e9d-b8de-4f661ec3836f · inbound

How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models? cites this paper.

How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models? Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:57:47.726992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db57ad81-48b6-40a4-b94c-dba06c685aec · 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 Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:13.480173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af105fda-2197-4ff4-ac27-a0de19dba35c · 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 Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T10:43:51.598061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b717be-651d-4696-9f49-45aa57e57495 · inbound

STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment cites this paper.

STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T14:47:11.511906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc499890-326d-4133-bc1a-28337bec954b · 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 Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:23.201430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.