Paper Citation Record · LEDGER

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 34 inbound Pith citation observations for arXiv:2509.02479.

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

pith.paper-citation-record.v1
2509.02479 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:25.500635Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:54:44.263730Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy8
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation b5aff72c-2ec4-4548-be35-d4ad6a0273f8 · outbound

This paper cites Towards Effective Code-Integrated Reasoning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Towards Effective Code-Integrated Reasoning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:21.563335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67d6f6b-1a0a-446e-89b8-17b1e5b55bcf · outbound

This paper cites Multi-Turn RL Training for CUDA Kernel Generation.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Multi-Turn RL Training for CUDA Kernel Generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:27.606728Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59660ec3-2511-4b83-9db5-747d7c676b81 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:21.804526Z

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Observation 566ac665-b736-4d69-bee2-e56aa708acc7 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:21.969591Z

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Observation 99fb6fa1-2182-4737-b173-c0a7fc7bb149 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.034107Z

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Observation 062dd9b9-b253-4590-8115-89169a1bba7f · outbound

This paper cites Agentic Reinforced Policy Optimization.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Agentic Reinforced Policy Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.139956Z

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Observation aca43fa9-b2ba-43ba-8dd0-fa865dff7efd · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.278687Z

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Observation bb62df75-3fee-44be-a48d-9e4b13103466 · outbound

This paper cites Dean, and Craig Boutilier.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Dean, and Craig Boutilier

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:27.431990Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6b85788-a3ea-44f3-b61c-e93e64009369 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:27.219744Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16893c04-35ac-4ca2-8f93-79a6d4101784 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.593363Z

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Observation 2d60a3c3-8f4a-46da-9d69-0c34540f9b59 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.710331Z

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Observation f129fb19-4881-43e6-9880-950cf7834823 · outbound

This paper cites CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.819067Z

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Observation aa12c784-d0c1-47d4-9e2a-41d1e08b1339 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning ToRL: Scaling Tool-Integrated RL

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:22.953751Z

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Observation 95da2a5e-6f43-4d90-bc06-f783947f2a9b · outbound

This paper cites Logit Dynamics in Softmax Policy Gradient Methods.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Logit Dynamics in Softmax Policy Gradient Methods

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:39:25.983870Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68007f4e-83cc-476b-a620-3e5e402546d5 · outbound

This paper cites ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:26.978676Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 656d61f4-b0e2-4ca8-a945-5f8df29c399b · outbound

This paper cites Understanding Tool-Integrated Reasoning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Understanding Tool-Integrated Reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:23.377485Z

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Observation 185b89bf-3df2-45a3-ada4-b3de776752b5 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:23.530235Z

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Observation bc9c65c1-49ea-4e09-a14e-86f4fcd3e5df · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Understanding R1-Zero-Like Training: A Critical Perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:23.676782Z

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Unavailable: canonical work link unavailable.

Observation fa14734a-4921-4aa2-a9d5-daef1525768d · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:26.799315Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bb1be83-9bc9-4c92-9ae7-b325b209dc4b · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.061038Z

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Unavailable: canonical work link unavailable.

Observation 27094400-20a4-4f5d-8c11-137218c4e3c5 · outbound

This paper cites Kimi-Researcher: End-to-End RL Training for Emerging Agentic Capabilities.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Kimi-Researcher: End-to-End RL Training for Emerging Agentic Capabilities

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:26.623796Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b1e3065-ce6f-481a-a813-47345c27fdeb · outbound

This paper cites Proximal Policy Optimization Algorithms.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Proximal Policy Optimization Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.330070Z

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Observation 2e244270-f369-4138-946c-852d0afebb79 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.436677Z

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Observation 0900ce65-3114-406d-b631-cf22dd7b6e5f · outbound

This paper cites Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.525311Z

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Observation a308f37a-c074-4895-97cd-db536de8835a · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.627187Z

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Observation bf7ddfff-1716-4aef-81f3-9a389bb5ebfb · outbound

This paper cites Divergence-augmented policy optimization.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Divergence-augmented policy optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:26.414168Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2beff123-71bc-4bc3-bd4c-76dbac3f7860 · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.770094Z

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Observation e8576bfa-7340-4826-bebb-5d6786874288 · outbound

This paper cites Your Efficient RL Framework Secretly Brings You Off-Policy RL Training.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Your Efficient RL Framework Secretly Brings You Off-Policy RL Training

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:39:26.233721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9111b61-3ccb-4206-a04b-fe2f9936071c · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:24.939131Z

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Observation 741430aa-f2dd-4067-afb3-fb19b8582aa8 · outbound

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

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.032006Z

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Observation c7f2a4b8-a266-44fe-b9f7-48d2ba1cb883 · outbound

This paper cites R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.091160Z

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Observation 9fd22fb0-2e4d-4989-8d55-aae81c84c9ca · outbound

This paper cites Geometric-Mean Policy Optimization.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Geometric-Mean Policy Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.219497Z

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Observation e524eb84-a13d-49ce-86c1-ab3c70b72080 · outbound

This paper cites Group Sequence Policy Optimization.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Group Sequence Policy Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.423245Z

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Observation adb6998a-e01d-4627-9cd3-e36056005c2b · outbound

This paper cites The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning.

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:25.500635Z

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Pith citing papers

Observation 3b1a0ca3-49ad-4662-8895-f46c2393af3f · inbound

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search cites this paper.

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:17:55.589474Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96af294e-368c-48d0-903a-3429d47b5ec8 · inbound

Training Multi-Image Vision Agents via End2End Reinforcement Learning cites this paper.

Training Multi-Image Vision Agents via End2End Reinforcement Learning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:01:24.304910Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a612c8e4-589d-4e9a-8735-08555f0ef9db · inbound

SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models cites this paper.

SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:23:09.869455Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe72e3d9-1493-4d5e-92f7-5cd4f18923dd · inbound

SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models cites this paper.

SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T12:18:10.591575Z

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Observation ccd8f0f6-98b2-4483-af25-c7093a70a153 · inbound

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning cites this paper.

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T16:40:22.776109Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b0580b7-7b2e-4ae4-be77-75e1a5414e09 · inbound

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning cites this paper.

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:20:17.554708Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91ff23a9-3d9f-4891-9a74-03c8c64502b9 · inbound

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization cites this paper.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.171881Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1517022-504c-424c-bc17-2bc433818364 · inbound

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning cites this paper.

AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:35:42.804115Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 560baf11-4602-4904-9981-a6ab9380935c · inbound

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning cites this paper.

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:10:51.983542Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a69f55b3-9496-44f2-b475-685ca459cb6a · inbound

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning cites this paper.

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:25:59.842752Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ddc7489-e2cc-4559-827b-17057b6bd84f · 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 SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:45:22.194748Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac9ea6eb-31f3-4f26-b14a-8460bc5b76b7 · 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 SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:01:10.534979Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f30c080e-4697-4ce1-bf3d-af7bb0848535 · inbound

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective cites this paper.

Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:30:55.365079Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31f4b51b-df37-4077-ba13-c1f579eaefd2 · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:58.767379Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bc2a4a6-fece-4205-bff3-57e46fc074bc · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T05:20:45.024277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2561b43-d11b-4d1f-9b53-3dcd18f5c7c6 · 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 SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:28.831917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a237f99-e4d5-46ed-ab9a-7f6ec9deeed2 · inbound

TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning cites this paper.

TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:51:18.092249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation deb6548f-7b70-4c7d-94d1-dba84e7c51ce · inbound

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning cites this paper.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.336361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ac226f4-f045-465f-9c53-00abf4f637b6 · inbound

The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents cites this paper.

The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:41:25.931625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb0d95a3-6838-485d-8318-373958214abb · inbound

Harnessing LLM Agents with Skill Programs cites this paper.

Harnessing LLM Agents with Skill Programs SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.399273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d65937d-eaaa-40ce-970b-180b2e575a03 · inbound

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning cites this paper.

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:40.940904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 940e9d91-fd9b-43b7-853c-a6c43e595780 · inbound

Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL cites this paper.

Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:43:30.596549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b717725a-31f2-495d-82de-d44406034bd6 · inbound

Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning cites this paper.

Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:46:20.272365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db400056-07f6-443a-8d66-87109d368a53 · inbound

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions cites this paper.

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:36:26.618510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee508e64-b31f-46f0-a3e3-2603a54f33af · inbound

Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation cites this paper.

Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:07:39.263609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3489bb9e-b3f5-41e4-bbad-1e1de868f8f4 · inbound

AIR: Adaptive Interleaved Reasoning with Code in MLLMs cites this paper.

AIR: Adaptive Interleaved Reasoning with Code in MLLMs SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:09:45.008651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb20a44c-432a-4c90-98ee-f3ee07a3d67d · inbound

Latent Visual States for Efficient Multimodal Reasoning cites this paper.

Latent Visual States for Efficient Multimodal Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.215761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46ee27e6-2fc5-4a18-9928-240853ad722b · inbound

Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It cites this paper.

Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:50:12.363329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aaa91678-462f-4546-be5c-1b43ee95d308 · inbound

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:06:34.844654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94fd6642-92ba-4341-9089-0f5ea2b83c00 · inbound

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T08:11:32.658488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27f17f7-783b-4aa4-aa49-d12de1ce277a · inbound

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation cites this paper.

When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:28.548139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513c8760-7796-4bf8-8b78-cc2040292517 · inbound

ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability cites this paper.

ToolAnchor: Anchoring Counterfactual Context to Boost Agentic Tool-use Capability SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T06:36:47.880415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62823d65-5a71-4f60-9b0f-88342c65e2d2 · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-02T14:50:17.781800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b978fe9-44cc-42d7-996e-074b439cce26 · inbound

Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning cites this paper.

Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T21:54:44.263730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.