Paper Citation Record · LEDGER

First Return, Entropy-Eliciting Explore

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 18 inbound Pith citation observations for arXiv:2507.07017.

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

pith.paper-citation-record.v1
2507.07017 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:15.153126Z

measured 60 of 60 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:53:52.768850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.539228Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy7
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9467682a-6022-4bbf-91ce-59a20c95f063 · outbound

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

First Return, Entropy-Eliciting Explore Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:11.406993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f96a7a7-cda7-4f5d-b81e-71a4897833e8 · outbound

This paper cites Using confidence bounds for exploitation-exploration trade-offs.JournalofMachineLearningResearch, 3(Nov):397–422, 2002.

First Return, Entropy-Eliciting Explore Using confidence bounds for exploitation-exploration trade-offs.JournalofMachineLearningResearch, 3(Nov):397–422, 2002

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:17.295629Z

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 da3b65e4-0336-4c60-adc0-081ee30abc4b · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem.

First Return, Entropy-Eliciting Explore Finite-time analysis of the multiarmed bandit problem

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:11.640190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a73968-6880-4e1f-955d-dbbf5321f161 · outbound

This paper cites Language models are few-shot learners.

First Return, Entropy-Eliciting Explore Language models are few-shot learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:11.762655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58235a4-d96e-4d0e-888e-9f2403f8ca6c · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

First Return, Entropy-Eliciting Explore Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:11.886340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fa350c-2be6-4f5b-9662-3d9b8c654482 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

First Return, Entropy-Eliciting Explore Process Reinforcement through Implicit Rewards

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:11.982084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df3f110-f943-4012-b73c-4441fdc1fff3 · outbound

This paper cites Assessing Validity of ICD-10 Administrative Data in Coding Comorbidities.

First Return, Entropy-Eliciting Explore Assessing Validity of ICD-10 Administrative Data in Coding Comorbidities

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:53:15.752569Z

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 0bfd072f-e7fb-4c9a-b297-695dacd32624 · outbound

This paper cites S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models.

First Return, Entropy-Eliciting Explore S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.135771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a8d39d-42a5-4abe-bf7d-575a39e8159f · outbound

This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.

First Return, Entropy-Eliciting Explore Go-Explore: a New Approach for Hard-Exploration Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.229578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd151a39-067f-4f20-bc7f-7a61b8292e5d · outbound

This paper cites Stanley, and Jeff Clune.

First Return, Entropy-Eliciting Explore Stanley, and Jeff Clune

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.302180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2697bc8-ad10-49f3-ac3c-cd673bc6c02c · outbound

This paper cites A Survey on Mathematical Reasoning and Optimization with Large Language Models.

First Return, Entropy-Eliciting Explore A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.361332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4d0b61-8c05-4d5c-b784-da600d060f2b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

First Return, Entropy-Eliciting Explore DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.465006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031a95bc-c452-4015-86f6-bdf98fce8502 · outbound

This paper cites Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.

First Return, Entropy-Eliciting Explore Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.561980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcc9aa5-d6d3-420c-90c1-532a17c17fe1 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

First Return, Entropy-Eliciting Explore VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.630333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d42913-2226-4634-b56e-05c1653ec6c8 · outbound

This paper cites Temporal Sampling for Forgotten Reasoning in LLMs.

First Return, Entropy-Eliciting Explore Temporal Sampling for Forgotten Reasoning in LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.730408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12059643-acbf-418a-8c11-f1bc77026d36 · outbound

This paper cites Let’s verify step by step, 2023.

First Return, Entropy-Eliciting Explore Let’s verify step by step, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.795404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c2f940-5cb4-4352-8f6d-a1c4c6f0d3b6 · outbound

This paper cites Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models.

First Return, Entropy-Eliciting Explore Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.860423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf567e20-b6ab-4828-be67-e36d925e32ff · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

First Return, Entropy-Eliciting Explore Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:12.924944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32634212-fcd9-4925-92e5-2cda5e921854 · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

First Return, Entropy-Eliciting Explore Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.035225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b41610-eaed-4414-b7d1-3c3323f7478a · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

First Return, Entropy-Eliciting Explore MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.146511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70828079-b558-4591-b755-4a9b04af1bef · outbound

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

First Return, Entropy-Eliciting Explore Training language models to follow instructions with human feedback

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:17.162881Z

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 3d113656-ccc7-4533-8eef-555599ea29de · outbound

This paper cites A Survey of Temporal Credit Assignment in Deep Reinforcement Learning.

First Return, Entropy-Eliciting Explore A Survey of Temporal Credit Assignment in Deep Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.287355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472d729b-e22a-4390-ae03-d9cb47d9f45b · outbound

This paper cites Qwen2.5 Technical Report.

First Return, Entropy-Eliciting Explore Qwen2.5 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.385918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d0e84f-522b-42c4-a44d-5483af15b854 · outbound

This paper cites Sequence level training with recurrent neural networks, 2016.

First Return, Entropy-Eliciting Explore Sequence level training with recurrent neural networks, 2016

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:17.005806Z

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 04ff86ca-7e0c-4c22-8e62-472b22cd7c6a · outbound

This paper cites Proximal Policy Optimization Algorithms.

First Return, Entropy-Eliciting Explore Proximal Policy Optimization Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.508181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be6ceca-94e6-444c-b349-47ec76ac118e · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

First Return, Entropy-Eliciting Explore High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.561109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a9bdeb-ac58-431b-a770-16c45ba907d3 · outbound

This paper cites Rewarding progress: Scaling automated process verifiers for llm reasoning,.

First Return, Entropy-Eliciting Explore Rewarding progress: Scaling automated process verifiers for llm reasoning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:16.854979Z

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 12d153fa-9aaa-46a8-8017-aa1bf075aa24 · outbound

This paper cites Spurious rewards: Rethinking training signals in rlvr.

First Return, Entropy-Eliciting Explore Spurious rewards: Rethinking training signals in rlvr

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:16.702794Z

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 b407463e-99a5-4f64-b345-a798cb0a5cf1 · outbound

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

First Return, Entropy-Eliciting Explore DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.908046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1628ed8d-f1db-4d53-8bdc-f2b7e54f2dc4 · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

First Return, Entropy-Eliciting Explore Hybridflow: A flexible and efficient rlhf framework

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.998381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20959a98-1f1f-48db-88a7-50c6fca993bd · outbound

This paper cites MIT press Cambridge, 1998.

First Return, Entropy-Eliciting Explore MIT press Cambridge, 1998

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.057085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f561fe24-6207-4082-83ee-b7881fc157b1 · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning.Artificial intelligence, 112(1–2):181–211, 1999.

First Return, Entropy-Eliciting Explore Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning.Artificial intelligence, 112(1–2):181–211, 1999

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:16.366032Z

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 adba242a-f3f7-4a2a-86bf-1beaef2e5d1e · outbound

This paper cites Beyond the 80/20 rule: High-entropy minority tokens drive effective reinforcement learning for llm reasoning,.

First Return, Entropy-Eliciting Explore Beyond the 80/20 rule: High-entropy minority tokens drive effective reinforcement learning for llm reasoning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:53:16.046672Z

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 8d1700c0-2ca1-4f5b-9e34-db0a7d90a11c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advancesin neural information processing systems, 35:24824–24837, 2022.

First Return, Entropy-Eliciting Explore Chain-of-thought prompting elicits reasoning in large language models.Advancesin neural information processing systems, 35:24824–24837, 2022

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.380943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43dfba1-b086-4b45-ab7b-4d162700aceb · outbound

This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

First Return, Entropy-Eliciting Explore A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.480574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1537cf48-c20c-4d91-8a72-da3bbe84d475 · outbound

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

First Return, Entropy-Eliciting Explore DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.618359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bcd14f6-b579-4a79-ae0e-9ebfb33ca07c · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

First Return, Entropy-Eliciting Explore VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.726477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8755a62-5c3b-40d9-a1db-1e0eec0da0c5 · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

First Return, Entropy-Eliciting Explore SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.864096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588b069e-cf15-4971-b6ae-7fdd8a2ffc51 · outbound

This paper cites SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM.

First Return, Entropy-Eliciting Explore SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:15.010459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4534fe21-53e4-4202-91e8-dbccaba797ea · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

First Return, Entropy-Eliciting Explore Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:15.153126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a66a00-6f23-4a3f-ad4f-454fd58ab2dd · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

First Return, Entropy-Eliciting Explore Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:13.735965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b217b6-13f5-40da-9b5e-1d3ab295520a · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

First Return, Entropy-Eliciting Explore Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:14.276825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7d8e9ecb-8f18-4653-b893-fc7ccde05aad · inbound

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning cites this paper.

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning First Return, Entropy-Eliciting Explore

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:23:54.061991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b2af2a-9784-420d-848f-0382d14a4838 · inbound

Outcome-based Exploration for LLM Reasoning cites this paper.

Outcome-based Exploration for LLM Reasoning First Return, Entropy-Eliciting Explore

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T22:59:14.604039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31883257-a409-49e5-8385-e1ea6eae40f8 · inbound

Self-Reflective Generation at Test Time cites this paper.

Self-Reflective Generation at Test Time First Return, Entropy-Eliciting Explore

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T12:41:43.277273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0d01b1-8879-442b-b095-39dc436c58a7 · inbound

Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts cites this paper.

Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts First Return, Entropy-Eliciting Explore

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T10:39:29.867992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa1a40d-e8fb-4d0d-a1a4-f25b78d4160c · inbound

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits cites this paper.

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits First Return, Entropy-Eliciting Explore

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:29.024124Z

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 f373a8cc-ce6f-4c16-8b6d-3b79152a151b · inbound

How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors cites this paper.

How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors First Return, Entropy-Eliciting Explore

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:26:19.362669Z

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 5f689fb8-57bb-4870-a57f-205763537f54 · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance First Return, Entropy-Eliciting Explore

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:05.208530Z

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 6617a73d-f319-48fa-873a-3f4d3d1feda7 · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance First Return, Entropy-Eliciting Explore

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:22:59.327594Z

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 6962d0cf-3be1-46a4-9016-cd6295a98b42 · inbound

Reasoning Can Be Restored by Correcting a Few Decision Tokens cites this paper.

Reasoning Can Be Restored by Correcting a Few Decision Tokens First Return, Entropy-Eliciting Explore

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:57:46.813786Z

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 d9099c6b-26ae-4bd5-b61a-9248ff6573f5 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation First Return, Entropy-Eliciting Explore

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.650396Z

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 024e228f-8c3a-40b3-93a7-ae7df8bbde22 · inbound

On Advantage Estimates for Max@K Policy Gradients cites this paper.

On Advantage Estimates for Max@K Policy Gradients First Return, Entropy-Eliciting Explore

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:56.398549Z

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 5523e626-d46b-4a60-8e80-73862cbeafab · inbound

OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation cites this paper.

OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation First Return, Entropy-Eliciting Explore

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:56.967524Z

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 1254643d-d89f-4eb6-9f53-d3e6c4f518c3 · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning First Return, Entropy-Eliciting Explore

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.848699Z

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 3c977e00-2de3-42ac-b623-1fe22de75659 · inbound

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier cites this paper.

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier First Return, Entropy-Eliciting Explore

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:41.573469Z

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 b505331e-ed58-46a2-ba6d-ce078e8d855a · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning First Return, Entropy-Eliciting Explore

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:40.649189Z

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 855d224b-6a44-4a97-ae37-fd7df83fc914 · inbound

What are Key Factors for Updates in RL for LLM Reasoning? cites this paper.

What are Key Factors for Updates in RL for LLM Reasoning? First Return, Entropy-Eliciting Explore

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:09:43.540812Z

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 8331d4b8-dc11-4eda-b24c-c560ab2b1b34 · inbound

Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization cites this paper.

Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization First Return, Entropy-Eliciting Explore

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T01:39:10.853118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8114cd00-53cd-4efb-baa9-9557b6121c75 · inbound

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning cites this paper.

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning First Return, Entropy-Eliciting Explore

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:53:52.768850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.