Paper Citation Record · LEDGER

Are Large Language Models Good Prompt Optimizers?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:32.545870Z

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 4db3fbf4-36d9-4f13-a360-fcc01adace0a · inbound

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM cites this paper.

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM Are Large Language Models Good Prompt Optimizers?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:37:29.478682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fafde82-20a6-4bc5-b804-98121dec0f58 · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks Are Large Language Models Good Prompt Optimizers?

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T23:07:33.687894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b34ce5-2132-45c1-912e-ba426db2f107 · inbound

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation cites this paper.

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation Are Large Language Models Good Prompt Optimizers?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:04.794532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae4f46c-96d0-4df8-a068-e73c72248a09 · inbound

Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation cites this paper.

Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation Are Large Language Models Good Prompt Optimizers?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T06:02:12.885407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc57092-e2ee-4615-b919-4edc4eb96e84 · inbound

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models cites this paper.

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models Are Large Language Models Good Prompt Optimizers?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:32.545870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b3e1b9-12ac-4838-af70-ffc9c0e8bcb1 · inbound

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development cites this paper.

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Are Large Language Models Good Prompt Optimizers?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:35.988542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.

Observation 17c71aa8-be3f-4bb1-8258-d9a466ab742b · inbound

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search cites this paper.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Are Large Language Models Good Prompt Optimizers?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:39.537689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43403c7-4606-4bd5-929d-c1c1b695f301 · inbound

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future cites this paper.

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future Are Large Language Models Good Prompt Optimizers?

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T19:07:06.907879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

Observation b607b796-4c55-4611-8ab8-58c361bda910 · inbound

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization cites this paper.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Are Large Language Models Good Prompt Optimizers?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T17:12:27.836255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.