Paper Citation Record · LEDGER

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2310.16427.

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

pith.paper-citation-record.v1
2310.16427 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:16.800166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.641018Z

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 a2731ca2-df3a-48ec-83c2-14b54f3940bc · inbound

Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models cites this paper.

Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:47.792927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d21b2e-4d2b-4f6d-b7c6-0e90cd4f2f27 · inbound

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA cites this paper.

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T21:30:32.961207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8a2527-07c8-49f3-982f-fc9f1d0257e0 · inbound

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers cites this paper.

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T16:52:28.890228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579f1b10-05af-4b0f-a8a0-1caa38cdbd88 · inbound

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework cites this paper.

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T00:08:16.276719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e94282-c291-43c0-9f6e-3e25aec7761d · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:18.947368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680eaec7-e165-4dc5-aaab-9bc77f0b5f07 · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.176132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d9258f-4ba6-4d2f-becd-8005b89a4ff8 · inbound

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution cites this paper.

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:16.800166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f59132b-29d3-41f4-9343-130158569d1f · 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 PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:07:06.822043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25457968-6059-4ee6-b5c0-7df3c6cc407a · inbound

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing cites this paper.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:05.893119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566a785f-aa3a-42f4-bf95-40e3830b2cd8 · inbound

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation cites this paper.

Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:03.266592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc25294-7da6-4a99-8aef-7abc76f5b949 · inbound

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation cites this paper.

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:41.468399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68cbdbcf-1c21-4e57-9b05-f4051248b720 · inbound

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications cites this paper.

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:11:26.281716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ead275-852d-4c39-8630-21d7ba2aefa8 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:15.617001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db16c79e-215d-4160-9182-633cce29307f · inbound

Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level cites this paper.

Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:29:15.792388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c49ea48f-0746-41e0-bfe0-1834a716d56a · inbound

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge cites this paper.

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T20:21:05.161725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6184b34e-25dd-42f9-9ee4-f0c9f5d2155b · inbound

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents cites this paper.

One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T14:20:31.297997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3397794e-2497-4ce4-b34b-04f0d98940fd · inbound

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement cites this paper.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T09:35:18.699401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd732889-a0ee-43c5-aa2f-dbd1b59dd23d · inbound

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance cites this paper.

Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T22:50:39.511390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fd3e11-57cf-4541-b5d2-b577384457e7 · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-13T13:59:01.287449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59043506-952a-4b01-aae4-59c0781f4308 · inbound

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees cites this paper.

Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:50:59.615879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54fd62e9-fdc8-4890-b9d5-b4bf905d9673 · inbound

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design cites this paper.

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:26:27.758869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8197416-7ca2-4bd2-b704-5e1b39d0b469 · inbound

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization cites this paper.

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:01:07.098180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e2a3672-96a4-48f1-a226-bf0148e5e248 · inbound

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments cites this paper.

TSCG: Deterministic Tool-Schema Compilation for Agentic LLM Deployments PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:21:07.290840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a1d753b-346c-467b-bb54-357583310f67 · inbound

FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration cites this paper.

FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:43.119343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b112514b-344d-4f81-9e84-b716003262c6 · inbound

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement cites this paper.

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:22:06.154632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad8135d9-9f96-4717-ad93-b51a0201ac48 · inbound

PACE: Two-Timescale Self-Evolution for Small Language Model Agents cites this paper.

PACE: Two-Timescale Self-Evolution for Small Language Model Agents PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.309459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11b2ff38-79ba-4fa8-9abd-61c6c387eabf · inbound

EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation cites this paper.

EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.667852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 60b93693-34c2-4b6c-9c4a-44d51d60e5b5 · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:39:47.079684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1f5ed33-b4ab-45e9-90d2-50ace85bb805 · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 106

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:39.534818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 183a6749-2445-4041-8dc3-d226867b2aa5 · inbound

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent cites this paper.

Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.644086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.