Paper Citation Record · LEDGER

Revisiting Demonstration Selection Strategies in In-Context Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.12087.

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

pith.paper-citation-record.v1
2401.12087 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:05:58.010768Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:41:31.395792Z

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 3e9e0dcf-1504-45e6-b678-7c01dff0d004 · inbound

Does Few-Shot Learning Help LLM Performance in Code Synthesis? cites this paper.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.335355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561b8286-e39f-49a4-8731-c5dc776025ca · inbound

What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis cites this paper.

What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T18:05:21.591812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435490e1-4b72-46c8-9270-e701b4bbb962 · inbound

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models cites this paper.

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:28.504353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724b2ab5-3b05-496f-9e03-d749d84781ef · inbound

Retrieval-augmented in-context learning for multimodal large language models in disease classification cites this paper.

Retrieval-augmented in-context learning for multimodal large language models in disease classification Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:58.010768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a551a0d-f5f1-47c3-a57e-82a5d5ca1957 · inbound

Adaptive Task Vectors for Large Language Models cites this paper.

Adaptive Task Vectors for Large Language Models Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:12:59.151780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8746ae8d-4351-4074-adb7-3a74fd4df104 · inbound

Surprise Calibration for Better In-Context Learning cites this paper.

Surprise Calibration for Better In-Context Learning Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:38.691903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351db5ee-5086-4bb8-8d54-4c29918872c3 · inbound

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification cites this paper.

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.398386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.