Paper Citation Record · LEDGER

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2511.23310.

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

pith.paper-citation-record.v1
2511.23310 v4

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:47:16.927539Z

measured 47 of 47 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation 0624fa21-0f17-4d6c-8d54-877a33b328a6 · outbound

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

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

Reference 2

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

Reference 3

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Observation 63dbecb6-46c8-41eb-bb11-94868fa0d084 · outbound

This paper cites Deep reinforcement learning from human preferences.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Deep reinforcement learning from human preferences

Reference 7

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Observation 661c9ad4-255c-49cb-9015-8a6eba4c3e1a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Training Verifiers to Solve Math Word Problems

Reference 8

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Observation 0e304497-bff5-4a3c-9e4b-d67f9b92166e · outbound

This paper cites Learning rate schedules for faster stochas- tic gradient search.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Learning rate schedules for faster stochas- tic gradient search

Reference 9

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Note on learning rate schedules for stochastic optimiza- tion

Reference 10

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Reference 11

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Observation c0b4841c-b26c-41d0-befa-183b775023e8 · outbound

This paper cites Variance Reduction Tech- niques for Gradient Estimates in Reinforce- ment Learning.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Variance Reduction Tech- niques for Gradient Estimates in Reinforce- ment Learning

Reference 12

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Observation a002a902-d8b4-45b9-a9e1-a0cc5d4d337e · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 13

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Observation 4587cee8-b653-4aba-8d44-95657ecce8f5 · outbound

This paper cites ∆LNormalization: Rethink Loss Aggregation in RL VR.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards ∆LNormalization: Rethink Loss Aggregation in RL VR

Reference 14

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Observation 578bb1d3-8a0f-467f-8119-7cb6e6938399 · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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Observation 0e1c747e-fd15-4ee6-bb25-3c02c9213ba0 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 16

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Observation d7b88388-7154-4c8e-a414-6fb6cdcf752d · outbound

This paper cites Buy 4 REINFORCE Samples, Get a Baseline for Free!.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Buy 4 REINFORCE Samples, Get a Baseline for Free!

Reference 17

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

Reference 18

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Observation ed123b43-a3e8-4bbe-9566-2c76e2078605 · outbound

This paper cites An Exponential Learning Rate Schedule for Deep Learning.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards An Exponential Learning Rate Schedule for Deep Learning

Reference 19

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Observation f658452d-372c-446c-8f25-3536e859720a · outbound

This paper cites Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding

Reference 20

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Observation cd5d6fde-b090-4875-99ab-5af041d96c5e · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 21

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Observation 2481f592-cb45-4efc-8f9d-7efa6fdf1458 · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Let's Verify Step by Step

Reference 22

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Observation 61bdd327-aa75-4922-91b9-d084dec88f66 · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Hugging Face, 2023

Reference 23

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Observation 5ee1bef9-544c-4d3f-992d-ad87e0e32ad1 · outbound

This paper cites Training language models to follow instructions with human feedback.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Training language models to follow instructions with human feedback

Reference 24

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Reference 25

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Observation fdd799f0-cf68-4120-830f-62c763e1bfe9 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 26

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

Reference 27

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Observation b2d0d4d4-e43e-4743-b662-f81eecaeff01 · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Proximal Policy Optimization Algorithms

Reference 29

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Observation ce0a7930-a724-4ed5-a02c-e53dbd105095 · outbound

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards HybridFlow: A Flexible and Efficient RLHF Framework

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Solving Inequality Proofs with Large Language Models

Reference 32

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Learning to summarize from human feedback

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning

Reference 34

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Self-Instruct: Aligning Language Models with Self-Generated Instruc- tions

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Qwen3 Technical Report

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Reference 39

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

Reference 40

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Unresolved cited work

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Formally, we consider min {Nt}T−1 t=0 ,{G t}T−1 t=0 E L(θ T ) s.t

Reference 48

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Practical recommendations for gradient-based training of deep architectures

Reference 2012

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Fine-Tuning Language Models with Advantage-Induced Policy Alignment

Reference 2023

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Variance-Aware Baselines and Adaptive Learning Rates for Reinforcement Learning with Verifiable Rewards Accelerating RL for LLM Reasoning with Optimal Advantage Regression

Reference 2025

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Pith citing papers

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