Paper Citation Record · LEDGER

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.03094.

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

pith.paper-citation-record.v1
2606.03094 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:44:53.211503Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

43 of 43 outbound references displayed

verified exact12
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fc8a006-bb48-4b0d-b3ea-f57ac166742d · outbound

This paper cites Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs

Reference 1

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Observation e89c9149-0451-4116-980e-a3433ca75164 · outbound

This paper cites Qwen3-VL Technical Report.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Qwen3-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.604790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a779786c-2f63-4f26-b1d5-a989133ebe6f · outbound

This paper cites Qwen2.5-VL Technical Report.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Qwen2.5-VL Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.601956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a0d50fa7-dac5-4f28-a173-baba1f3522f8 · outbound

This paper cites R1-V: Reinforcing Super Gen- eralization Ability in Vision-Language Models with Less Than $3.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data R1-V: Reinforcing Super Gen- eralization Ability in Vision-Language Models with Less Than $3

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 7416aa03-8007-4fb4-a17f-6c2dc8e53bbf · outbound

This paper cites SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:36:25.608391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d726caa-0f21-4f58-8b51-9130d531a41e · outbound

This paper cites Open-R1-Multimodal: A Fork to Add Multimodal Model Training to Open-R1.https://github.com/EvolvingLMMs-Lab/open-r1-multimodal, 2025.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Open-R1-Multimodal: A Fork to Add Multimodal Model Training to Open-R1.https://github.com/EvolvingLMMs-Lab/open-r1-multimodal, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 5974101c-81ec-45ae-a144-ed5b981e3d63 · outbound

This paper cites Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation b3b2f1de-f8c2-46c7-b9fa-75e52e5f87f9 · outbound

This paper cites FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Per- sonalized RLHF.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Per- sonalized RLHF

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation ee0e91a9-93e9-4529-b3ff-e6513d3cf512 · outbound

This paper cites Provably Robust Federated Rein- forcement Learning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Provably Robust Federated Rein- forcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 1b05db06-156e-437d-aa56-7bbeee9a4236 · outbound

This paper cites The Llama 3 Herd of Models.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data The Llama 3 Herd of Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.644592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de057067-a543-4ac3-8bdd-c36a497989a6 · outbound

This paper cites DeepSeek-R1 Incentivizes Reasoning in LLMs through Reinforcement Learning.Nature, 645(8081):633–638, 2025.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data DeepSeek-R1 Incentivizes Reasoning in LLMs through Reinforcement Learning.Nature, 645(8081):633–638, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation cdca963c-f562-4e70-993e-4c9dbe1bb52d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 613ce512-b219-45a1-998f-5b473b38679a · outbound

This paper cites OpenAI o1 System Card.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data OpenAI o1 System Card

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.630277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0402d5f8-b096-492c-8b93-57f19fff116a · outbound

This paper cites FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation ca2cf0b4-ad49-4277-bbdb-dd7015fb87f5 · outbound

This paper cites Federated Reinforcement Learning with Environment Heterogeneity.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Reinforcement Learning with Environment Heterogeneity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

Source-reported events for the cited work

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Observation 401a60ea-5ab6-49c7-af02-d62849219d02 · outbound

This paper cites Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation c316229a-e24f-42fd-afed-482d1d08da9a · outbound

This paper cites Reddi, Sebastian U.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Reddi, Sebastian U

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 44ca493a-0f6f-429d-af78-420305798e2c · outbound

This paper cites Federated Reinforce- ment Learning: Linear Speedup Under Markovian Sampling.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Reinforce- ment Learning: Linear Speedup Under Markovian Sampling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 82bf0832-ef63-443e-8c11-01985362c274 · outbound

This paper cites Konda and John N.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Konda and John N

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

Source-reported events for the cited work

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Observation 3ce7a08f-8bd1-4439-85be-5d2d287d9f99 · outbound

This paper cites Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 8cf678f8-6f16-4867-9e46-297fe616b151 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Optimization in Heterogeneous Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 2ca3e619-eea7-4b4e-a3e0-028441013a65 · outbound

This paper cites Cppo: Accelerating the training of group relative policy optimization-based reasoning models.arXiv preprint arXiv:2503.22342.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Cppo: Accelerating the training of group relative policy optimization-based reasoning models.arXiv preprint arXiv:2503.22342

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:36:25.627126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bcbd946c-3474-4863-9e84-688380b64805 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation b3fd9138-3dd4-43e3-8f17-f61d06bd8139 · outbound

This paper cites arXiv preprint arXiv:2508.02833 , year=.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data arXiv preprint arXiv:2508.02833 , year=

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:36:25.640889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b9851825-ceeb-4f5f-8c5d-7d1ac1b4c0ca · outbound

This paper cites Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Koneˇcný, Sanjiv Kumar, and Hugh Brendan McMahan.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Koneˇcný, Sanjiv Kumar, and Hugh Brendan McMahan

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 9616074f-fa5a-4ffa-a361-14939d56222a · outbound

This paper cites Federated Ensemble-Directed Offline Reinforcement Learning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Ensemble-Directed Offline Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 931c6ec8-8f3b-4f51-9162-7e28cfb80ed3 · outbound

This paper cites Proximal Policy Optimization Algorithms.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Proximal Policy Optimization Algorithms

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.617700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 189e0812-88db-4cda-adf6-e3750250d072 · outbound

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

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.623448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 895a0291-6346-404b-9ddf-b27ce5ec45cc · outbound

This paper cites Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 6cc4499f-e160-4191-b3a6-063c61465d71 · outbound

This paper cites The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 2473d4ac-4869-423a-893c-51a8a9695d1d · outbound

This paper cites Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 1377c879-6903-497f-b020-dba0efa9ead2 · outbound

This paper cites The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.637603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a966b9b-9663-4304-8db4-c2506a92a7c0 · outbound

This paper cites On the Linear Speedup of Person- alized Federated Reinforcement Learning with Shared Representations.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data On the Linear Speedup of Person- alized Federated Reinforcement Learning with Shared Representations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 2b672abb-9b7b-49e9-9ccf-eaac0810f9d7 · outbound

This paper cites Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 2075e713-5ec0-4798-a7ec-baea2701e6bb · outbound

This paper cites On Classes of Summable Functions and Their Fourier Series.Proc.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data On Classes of Summable Functions and Their Fourier Series.Proc

Reference 35

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Observation 6227c12d-1497-40c1-9404-c6d1676e7e24 · outbound

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

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.620697Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c3def03c-36a7-4de1-85bd-9f66f43636c5 · outbound

This paper cites Finite-Time Analysis of On- Policy Heterogeneous Federated Reinforcement Learning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Finite-Time Analysis of On- Policy Heterogeneous Federated Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation 163796d0-0c2b-42ce-ad3d-b44af6b9d091 · outbound

This paper cites and Zuo, C.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data and Zuo, C

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.611991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6979688-09c7-4088-a6f5-3712c954d57f · outbound

This paper cites A Survey of Reinforcement Learning for Large Reasoning Models.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data A Survey of Reinforcement Learning for Large Reasoning Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.614991Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fec8d277-6c01-42bb-b628-d45fa8947f96 · outbound

This paper cites Group Sequence Policy Optimization.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Group Sequence Policy Optimization

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:36:25.633440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a5abb1e-3902-4d64-8583-86407890b6eb · outbound

This paper cites Recent theoretical research has focused on establishing rigorous convergence guarantees under the unique constraints of sequential decision-making.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Recent theoretical research has focused on establishing rigorous convergence guarantees under the unique constraints of sequential decision-making

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation a2661299-5acd-46d9-8ffe-5770b2399223 · outbound

This paper cites collaborative single-policy coverage.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data collaborative single-policy coverage

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T11:44:53.211503Z

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Observation f5ef04ab-4657-42fa-bf47-c4803efb1d77 · outbound

This paper cites Similarly, DAPO [36] introduces a decoupled and dynamic sampling system designed to stabilize long Chain-of-Thought (CoT) reasoning.

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data Similarly, DAPO [36] introduces a decoupled and dynamic sampling system designed to stabilize long Chain-of-Thought (CoT) reasoning

Reference 43

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Pith citing papers

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