Paper Citation Record · LEDGER

REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.03092.

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

pith.paper-citation-record.v1
2412.03092 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:26:30.706921Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:40:51.175108Z

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 8ceaadcd-ca06-4cbc-88d0-db7db19fd77a · inbound

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models cites this paper.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:26:30.706921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39b6a7e-b402-4be7-b234-b3bd9e2faf58 · inbound

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing cites this paper.

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:53.192851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc63d6d-d330-4b23-b978-1fc8837145db · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.178041Z

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.

Observation 378ddfd8-d895-43ef-a9b2-004aab598aec · 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 REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.634181Z

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.

Observation 62e9b0ea-2f16-438a-8366-dada30b93055 · inbound

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory cites this paper.

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:34.375792Z

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.

Observation 7d29d5ab-841c-4c71-a70a-1399db731b02 · inbound

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization cites this paper.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:03:57.988132Z

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.

Observation 3708d41d-1e5a-4c28-b9b1-6d1f6d8a7209 · inbound

Overcoming the Weakest-Link Effect in LLM-Driven Program Optimization via Heterogeneous Edit Recombination cites this paper.

Overcoming the Weakest-Link Effect in LLM-Driven Program Optimization via Heterogeneous Edit Recombination REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T16:45:51.527637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.