Paper Citation Record · LEDGER

Differentiable Evolutionary Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2512.13399.

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

pith.paper-citation-record.v1
2512.13399 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact21
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02d0721f-e551-4110-9805-1acf73e1e890 · outbound

This paper cites Concrete Problems in AI Safety.

Differentiable Evolutionary Reinforcement Learning Concrete Problems in AI Safety

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.742178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5d5fe68-ef3b-40f3-bda5-7b98e841a8c9 · outbound

This paper cites Learning to learn by gradient descent by gradient descent.

Differentiable Evolutionary Reinforcement Learning Learning to learn by gradient descent by gradient descent

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.718469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae785887-de13-494b-b684-03be65f54ed3 · outbound

This paper cites under review.

Differentiable Evolutionary Reinforcement Learning under review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T22:43:38.780793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e28bf47-f990-47bc-8c8b-9558c4b3591b · outbound

This paper cites Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V.

Differentiable Evolutionary Reinforcement Learning Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T22:43:38.786382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69b1c518-69f0-4530-9e6e-f0f74d4be013 · outbound

This paper cites Xingwu Chen, Tianle Li, and Difan Zou.

Differentiable Evolutionary Reinforcement Learning Xingwu Chen, Tianle Li, and Difan Zou

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T22:43:38.782676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddef9326-458f-4dbf-b92a-4d74043a8a36 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Differentiable Evolutionary Reinforcement Learning Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.676556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d366ba9-077b-4570-8acd-a65603b4e8cb · outbound

This paper cites A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.

Differentiable Evolutionary Reinforcement Learning A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.726446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77d0c7bd-4d6f-45a5-99c4-4b131f0726ac · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

Differentiable Evolutionary Reinforcement Learning Group-in-Group Policy Optimization for LLM Agent Training

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.745778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11ce5c06-1edb-43c9-bd2c-3a02c38fd0ea · outbound

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

Differentiable Evolutionary Reinforcement Learning A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.734181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d49a2ebe-7c23-49c9-8545-a5733f40a76f · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Differentiable Evolutionary Reinforcement Learning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.752791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b64778b3-9b74-4f4c-b318-f75442a5e210 · outbound

This paper cites Population Based Training of Neural Networks.

Differentiable Evolutionary Reinforcement Learning Population Based Training of Neural Networks

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T22:38:37.424143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08fc1195-f40c-453e-a9fb-c5cb81c61012 · outbound

This paper cites Wurman, Peter Stone, and Craig Sher- stan.

Differentiable Evolutionary Reinforcement Learning Wurman, Peter Stone, and Craig Sher- stan

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.672326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c674f03-8bbb-46bf-b136-246e8b664e66 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Differentiable Evolutionary Reinforcement Learning AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.693784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba872648-a8ef-4272-a4ab-2978d8bd1187 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Differentiable Evolutionary Reinforcement Learning ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.730345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07155f3e-0191-48e8-bd72-0133ca926e9e · outbound

This paper cites doi: 10.1038/s41586-023-06924-6.

Differentiable Evolutionary Reinforcement Learning doi: 10.1038/s41586-023-06924-6

Reference 15

Resolution: verified exact; doi, observed 2026-05-16T22:38:37.428031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c63261d8-6209-4c04-86b5-e20007f8028b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Differentiable Evolutionary Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.680496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be81840f-ea11-4071-9bd2-3f56d03f9ab4 · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

Differentiable Evolutionary Reinforcement Learning DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:00:28.487879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0b1d0be-cdb3-443d-89cf-8d1894fea4dd · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Differentiable Evolutionary Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.756424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0131b75-0c1e-445a-9292-c4c2df1c1743 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Differentiable Evolutionary Reinforcement Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.749379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e40a3bff-d5a5-4a11-925a-abe9a37bca9a · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Differentiable Evolutionary Reinforcement Learning ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.710448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9d77cbbd-6597-417e-b19a-59dbf6b28ae3 · outbound

This paper cites Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

Differentiable Evolutionary Reinforcement Learning Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.722482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6877c6ab-f718-438a-950a-ff54f58c54fa · outbound

This paper cites arXiv preprint arXiv:2510.04204 (2025).

Differentiable Evolutionary Reinforcement Learning arXiv preprint arXiv:2510.04204 (2025)

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:38:37.738299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1b91593-7745-4878-bc2c-2d09e2cb6153 · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

Differentiable Evolutionary Reinforcement Learning ScienceWorld: Is your Agent Smarter than a 5th Grader?

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:38:37.714865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e67659e-2962-4cb4-b066-412c13cbcf6b · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

Differentiable Evolutionary Reinforcement Learning Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T22:38:37.697896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c4c22c5-3eba-4d9f-b069-19726470732d · outbound

This paper cites Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny.

Differentiable Evolutionary Reinforcement Learning Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:15:55.820429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 593fab5c-e79d-490c-ac22-edad954cf38f · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Differentiable Evolutionary Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.668024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 572b5b97-c897-463a-9d00-920974e3c058 · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

Differentiable Evolutionary Reinforcement Learning Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:38:37.702055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78e53603-8078-4053-9f3f-5712016ef43b · outbound

This paper cites RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents.

Differentiable Evolutionary Reinforcement Learning RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.689797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 568bd4b0-c1c1-4645-bcc2-ce4612a1e737 · outbound

This paper cites meta-gradient.

Differentiable Evolutionary Reinforcement Learning meta-gradient

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T22:43:38.784432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.