Paper Citation Record · LEDGER

MetaPrompting: Learning to Learn Better Prompts

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.11486.

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

pith.paper-citation-record.v1
2209.11486 v4

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 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:16:55.309615Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1dccbf12-a56a-4964-b5a1-4961e836a980 · inbound

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases cites this paper.

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases MetaPrompting: Learning to Learn Better Prompts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:40.387305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9365d92-7074-4904-a5bf-4358efa11474 · inbound

An Empirical Study of Foundation Models for Variability-Induced Compilation Errors in Configurable C Code cites this paper.

An Empirical Study of Foundation Models for Variability-Induced Compilation Errors in Configurable C Code MetaPrompting: Learning to Learn Better Prompts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T08:32:46.992749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73d2aca-fc9c-49c0-a67c-51c05e3aed95 · inbound

Foundation Models as Oracles for Refactoring Correctness Detection cites this paper.

Foundation Models as Oracles for Refactoring Correctness Detection MetaPrompting: Learning to Learn Better Prompts

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:00:36.067820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8153ec09-b938-4eac-8a2d-e1ae4326a8c0 · inbound

Foundation Models as Oracles for Refactoring Correctness Detection cites this paper.

Foundation Models as Oracles for Refactoring Correctness Detection MetaPrompting: Learning to Learn Better Prompts

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:49:21.461622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a077e213-221f-4f9e-9c42-97d14f01c0bb · inbound

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers cites this paper.

VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers MetaPrompting: Learning to Learn Better Prompts

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-26T21:40:08.299892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4cf58ec-79a2-4eb6-ab43-f3478d5a2714 · inbound

TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation cites this paper.

TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation MetaPrompting: Learning to Learn Better Prompts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T14:16:55.309615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69b53fb-9d6d-4785-a615-20fb7de05323 · inbound

Detecting Behavioral Changes in Python Refactoring Implementations with Foundation Models cites this paper.

Detecting Behavioral Changes in Python Refactoring Implementations with Foundation Models MetaPrompting: Learning to Learn Better Prompts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:25:27.610377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.