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Paper Citation Record · LEDGER

Are Large Language Models Good Prompt Optimizers?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.02101.

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

pith.paper-citation-record.v1
2402.02101 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:09:00.807379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.350662Z

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 e85cb496-4538-4a10-a1fc-58c3a14a3b4d · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Are Large Language Models Good Prompt Optimizers?

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:52:16.290885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:4fecf76d5768017708717fa1e1a079bbeee87f7cec743b82dd7df7790d2a3945

Observation 20bc0b4b-0d70-4559-9c40-e016ec50a2bb · inbound

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification cites this paper.

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification Are Large Language Models Good Prompt Optimizers?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T21:09:00.807379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:00.807379Z digest=sha256:e5679068af5dc6791c364f0b8f01cc5dda50a580a43184196699a5c57f783400

Observation e58de785-7650-4109-96bf-69e4fdcd2154 · inbound

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts cites this paper.

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts Are Large Language Models Good Prompt Optimizers?

Reference 211

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.351901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T06:39:17.268337Z digest=sha256:bded8c7d05fbc58f495f81f3e4580cbd59b535df44b0486b9ba7986dac1eec56