Pith. sign in

Paper Citation Record · LEDGER

MetaPrompting: Learning to Learn Better Prompts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:37:40.387305Z

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.

source=pdf_text observed=2026-08-06T16:37:40.387305Z digest=sha256:c49cf449b5585bb69b8c8f7164e894737dea81b43ba8dc5670b497aa52736aaa

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.

source=pdf_text observed=2026-08-03T08:32:46.992749Z digest=sha256:e53d7f081ef6ff3fb77e66cdd6bed25cfa46234dd50308cba8568b1394642c26

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:13:12.449778Z digest=sha256:2977be4e0f01749bf2d61bb124611ee8c035d5ef76f97ff39bc4279ef860aa9d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-04T01:48:03.650837Z digest=sha256:dfaea1633a191c142d57e094135682452004ba318b00c539005695a238a084a8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T21:36:17.228002Z digest=sha256:d1055a5e01b23dd7224ae6b9faf0fb9e5cc3a60ea54eb27159be5ff0a8628ada