Paper Citation Record · LEDGER

rStar2-Agent: Agentic Reasoning Technical Report

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 19 inbound Pith citation observations for arXiv:2508.20722.

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

pith.paper-citation-record.v1
2508.20722 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:57:39.510592Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:40:25.785903Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 674f8691-2994-450f-8f27-a408c9d60ff7 · outbound

This paper cites Phi-4-reasoning Technical Report.

rStar2-Agent: Agentic Reasoning Technical Report Phi-4-reasoning Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.369654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0f6480d-d4f6-491a-84e2-ce22941b5d90 · outbound

This paper cites Llama-nemotron: Efficient reasoning models.

rStar2-Agent: Agentic Reasoning Technical Report Llama-nemotron: Efficient reasoning models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.380300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d392f9cb-a736-4c3f-8590-5aa401935edc · outbound

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

rStar2-Agent: Agentic Reasoning Technical Report MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.384805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14bd8d2-9c3c-40da-a071-5805ad758f21 · outbound

This paper cites Reasoning with Exploration: An Entropy Perspective.

rStar2-Agent: Agentic Reasoning Technical Report Reasoning with Exploration: An Entropy Perspective

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.390460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e89626b0-8d1c-4c8a-beda-243ec2370369 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

rStar2-Agent: Agentic Reasoning Technical Report The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.395422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8531d737-cf7d-4b16-ac7b-e5e06958c981 · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

rStar2-Agent: Agentic Reasoning Technical Report ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.400085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6a9ace-d75a-451e-b5c1-cc2d3f741e21 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

rStar2-Agent: Agentic Reasoning Technical Report rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.405467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d64c1c3-e5e3-4ed5-903a-1f9d68fb3be2 · outbound

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

rStar2-Agent: Agentic Reasoning Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.409953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bdb1f8e-e9e3-4861-bf3e-f7ee7c8a74e5 · outbound

This paper cites Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning.

rStar2-Agent: Agentic Reasoning Technical Report Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.414554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff25afd-da3a-4465-8fcc-eeff55d22108 · outbound

This paper cites OpenAI o1 System Card.

rStar2-Agent: Agentic Reasoning Technical Report OpenAI o1 System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.419049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4a37c3-6a47-4f09-a775-3a90ffedb885 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

rStar2-Agent: Agentic Reasoning Technical Report ToRL: Scaling Tool-Integrated RL

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.427791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e308ebe-28d5-4453-8387-8d91a8dea797 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

rStar2-Agent: Agentic Reasoning Technical Report ToolACE: Winning the Points of LLM Function Calling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.437030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e85ad13-c4e7-40ce-8ed5-8bdbda4a1f96 · outbound

This paper cites Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving.

rStar2-Agent: Agentic Reasoning Technical Report Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.441530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7f279d-c669-4fc1-8ffb-568518d163cc · outbound

This paper cites AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.

rStar2-Agent: Agentic Reasoning Technical Report AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.446005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435b59c5-8e68-488e-b7eb-e59cf0e6f3c0 · outbound

This paper cites APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.

rStar2-Agent: Agentic Reasoning Technical Report APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.450498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d14ae9a-cb97-421e-b964-938ca4cdd7fe · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

rStar2-Agent: Agentic Reasoning Technical Report ToolRL: Reward is All Tool Learning Needs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.455290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6555b84-43a2-475f-b906-cd989fed6db3 · outbound

This paper cites Magistral.

rStar2-Agent: Agentic Reasoning Technical Report Magistral

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.459947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea5839c-db55-4e8f-b609-015076d6cb7d · outbound

This paper cites ByteDance Seed, Jiaze Chen, Tiantian Fan, Xin Liu, Lingjun Liu, Zhiqi Lin, Mingxuan Wang, Chengyi Wang, Xiangpeng Wei, Wenyuan Xu, et al.

rStar2-Agent: Agentic Reasoning Technical Report ByteDance Seed, Jiaze Chen, Tiantian Fan, Xin Liu, Lingjun Liu, Zhiqi Lin, Mingxuan Wang, Chengyi Wang, Xiangpeng Wei, Wenyuan Xu, et al

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.464672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f49d86-4f6b-4113-b811-406ebd9d8947 · outbound

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

rStar2-Agent: Agentic Reasoning Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.469144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a5a147-9639-4331-819a-90690405db0f · outbound

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

rStar2-Agent: Agentic Reasoning Technical Report HybridFlow: A Flexible and Efficient RLHF Framework

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.473799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4bf7628-c16d-40fe-8b29-34cbe67c9916 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

rStar2-Agent: Agentic Reasoning Technical Report Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.478441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0527649f-084d-44be-b31d-b22c6d068207 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

rStar2-Agent: Agentic Reasoning Technical Report Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.482938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a0bdfc-3922-4041-8048-6598a871fdd0 · outbound

This paper cites Qwen3 Technical Report.

rStar2-Agent: Agentic Reasoning Technical Report Qwen3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.487519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca34421e-6542-49e5-9a8e-4644f7166bc4 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

rStar2-Agent: Agentic Reasoning Technical Report Magicoder: Empowering Code Generation with OSS-Instruct

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.492222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f901aec4-ac7c-4ad1-bfab-7917b16802c7 · outbound

This paper cites MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining.

rStar2-Agent: Agentic Reasoning Technical Report MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.496906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923c90b6-2151-45b6-9b45-298703dfc78c · outbound

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

rStar2-Agent: Agentic Reasoning Technical Report DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.501283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c478112-4f81-4129-80cc-85d947720eb5 · outbound

This paper cites Promoting Efficient Reasoning with Verifiable Stepwise Reward.

rStar2-Agent: Agentic Reasoning Technical Report Promoting Efficient Reasoning with Verifiable Stepwise Reward

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.505938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ad39bf-ede6-4d10-b885-327da8382ff2 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

rStar2-Agent: Agentic Reasoning Technical Report Instruction-Following Evaluation for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.510592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9b1cef-8270-4200-9f95-350fa9bf2956 · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

rStar2-Agent: Agentic Reasoning Technical Report ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.432202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee948300-1b9d-4fc3-912c-928028a5fbf9 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

rStar2-Agent: Agentic Reasoning Technical Report From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.423424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4edf230-9a3f-4cbd-8ca3-7c9b740426ab · outbound

This paper cites MathArena: Evaluating LLMs on Uncontaminated Math Competitions.

rStar2-Agent: Agentic Reasoning Technical Report MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:39.374889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 46961b85-16bb-4847-91a5-50b12008bd73 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey rStar2-Agent: Agentic Reasoning Technical Report

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T19:21:48.445880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03de0ad8-bd7c-4deb-9eb4-a8e79f32dea3 · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving rStar2-Agent: Agentic Reasoning Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:25.785903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba424a7-071a-451d-853e-4bd2233f05a6 · inbound

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning rStar2-Agent: Agentic Reasoning Technical Report

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T16:30:41.340195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bb13be-c000-42e5-a325-75a7376d07c8 · inbound

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning cites this paper.

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning rStar2-Agent: Agentic Reasoning Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T09:01:49.933722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44f5df8-ac25-45ac-9c26-8ba6bfa81712 · inbound

AI Can Learn Scientific Taste cites this paper.

AI Can Learn Scientific Taste rStar2-Agent: Agentic Reasoning Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T18:14:54.599326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6c79d8-0511-48b1-a72b-e05d4ffab47b · inbound

SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning cites this paper.

SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning rStar2-Agent: Agentic Reasoning Technical Report

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:20:50.855350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52ae9bc8-3b34-4067-8e51-a32db106e2ed · inbound

Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.

Fine-Tuning Small Reasoning Models for Quantum Field Theory rStar2-Agent: Agentic Reasoning Technical Report

Reference 224

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:05.839585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c362dbf-4887-4fc2-bfe5-842379e3e598 · inbound

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training cites this paper.

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training rStar2-Agent: Agentic Reasoning Technical Report

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:11:11.260353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdc7fda0-30ad-431e-8f56-c5fc5287af24 · inbound

T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning cites this paper.

T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning rStar2-Agent: Agentic Reasoning Technical Report

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:45:22.161743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1aaefe0-d289-4c88-954d-bcf99c6a9463 · inbound

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL cites this paper.

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL rStar2-Agent: Agentic Reasoning Technical Report

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:16:10.568637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3e970f5-5a02-484a-a52b-31115fe346fe · inbound

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning cites this paper.

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning rStar2-Agent: Agentic Reasoning Technical Report

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:01:10.556776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e213d58-4445-4618-9bf7-ef103d03f21a · inbound

Teaching Language Models to Think in Code cites this paper.

Teaching Language Models to Think in Code rStar2-Agent: Agentic Reasoning Technical Report

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:15:56.569722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba510941-67cf-4756-b7fb-9bfc7df61b78 · inbound

Teaching Language Models to Think in Code cites this paper.

Teaching Language Models to Think in Code rStar2-Agent: Agentic Reasoning Technical Report

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:16:28.333349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1a0a899-ee28-4c80-a2d1-6adafbc0b040 · inbound

Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning cites this paper.

Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning rStar2-Agent: Agentic Reasoning Technical Report

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:23:14.031521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6f55ad0-8721-44ef-ae29-20152abc4df5 · inbound

CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming cites this paper.

CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming rStar2-Agent: Agentic Reasoning Technical Report

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.161949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20f9e4b4-7ab9-482f-b412-fd80cc2ac8c7 · inbound

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning cites this paper.

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning rStar2-Agent: Agentic Reasoning Technical Report

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:23:23.734275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc52f01b-67d1-467f-b515-c6bb9a6670df · inbound

Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning cites this paper.

Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning rStar2-Agent: Agentic Reasoning Technical Report

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:26.248154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36d350a3-81e4-46fa-91dc-29c9616c577d · inbound

Discovering Millions of Interpretable Features with Sparse Autoencoders cites this paper.

Discovering Millions of Interpretable Features with Sparse Autoencoders rStar2-Agent: Agentic Reasoning Technical Report

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:59:53.059796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b32f477-f016-4790-b9ca-9fb3fd6adcbc · inbound

PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language cites this paper.

PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language rStar2-Agent: Agentic Reasoning Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:04:49.632692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.