Paper Citation Record · LEDGER

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2203.07281.

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

pith.paper-citation-record.v1
2203.07281 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:46:05.563933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.395801Z

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 706e345c-9fea-449a-85d9-3e782a91085b · inbound

Ignore Previous Prompt: Attack Techniques For Language Models cites this paper.

Ignore Previous Prompt: Attack Techniques For Language Models GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:59:31.376601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b36ccda0-7a63-40f5-9cdb-81da02f24dce · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:04:31.316603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a71aa163-dd5d-44d8-b4cf-8bf505ee0d4e · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:11:49.629657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56a89f7f-4826-4f7f-bd42-728190e7f027 · inbound

REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization cites this paper.

REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T22:52:15.148720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad10488b-aab2-4695-ac75-148003f97390 · 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 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T16:52:28.854464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b49efa1-4b8c-41c3-b967-2fe9df6991b2 · inbound

Memory-Augmented Agent Training for Business Document Understanding cites this paper.

Memory-Augmented Agent Training for Business Document Understanding GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:27:32.003597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04de6799-62f4-477d-aa78-27a191bb5d21 · 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 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T00:08:16.257900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43263a24-ff46-4e41-a922-05fe1be2f1da · inbound

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models cites this paper.

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:59.012110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f809b51-fb14-45fd-9f79-b1ae86913b6e · inbound

Online Prompt Selection for Program Synthesis cites this paper.

Online Prompt Selection for Program Synthesis GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T21:18:59.497245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bcce93f-de95-4138-8a6a-b117f1cfbb63 · inbound

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale cites this paper.

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:46:05.563933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7550533f-bcdb-410b-8732-f37fd9f314e6 · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:07.510918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94dea563-e70a-4e17-975c-769e6e05dc9e · inbound

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings cites this paper.

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:39.358789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bba0453-8c00-4855-a6f4-eefc18cee93d · 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 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:07:06.826110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a51cd8-148e-4281-b444-120e81d2bdab · 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 GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:04.891949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc07ce42-20c5-4fba-b65d-48ecedc73d4f · inbound

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

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:41.450582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35036754-d64f-498e-bad2-e4686d60b99e · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:07:18.493001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2073df5-4b44-42c4-972d-cfc6067d93cc · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:19:45.747690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8515a743-7861-4f35-8960-94ae474cb91b · inbound

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

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.397187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.