Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing | Paper Citation Record

Observation 02ee2bb2-7fe8-4c06-b2ee-ce4641c13f46 · outbound

This paper cites Stability analysis of fluid flows using Lagrangian Perturbation Theory (LPT): application to the plane Couette flow.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Stability analysis of fluid flows using Lagrangian Perturbation Theory (LPT): application to the plane Couette flow

Reference 1

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This paper cites Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

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This paper cites Deepanalyze: Agentic large language models for autonomous data science.arXiv preprint arXiv:2510.16872, 2025.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Deepanalyze: Agentic large language models for autonomous data science.arXiv preprint arXiv:2510.16872, 2025

Reference 3

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This paper cites Data interpreter: An llm agent for data science.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Data interpreter: An llm agent for data science

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This paper cites Infiagent-dabench: Evaluating agents on data analysis tasks,.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Infiagent-dabench: Evaluating agents on data analysis tasks,

Reference 5

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Observation 644faab7-ad14-4c37-b046-38a7b75ab743 · outbound

This paper cites DABstep: Data Agent Benchmark for Multi-step Reasoning.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DABstep: Data Agent Benchmark for Multi-step Reasoning

Reference 6

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This paper cites DA-code: Agent data science code gen- eration benchmark for large language models.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DA-code: Agent data science code gen- eration benchmark for large language models

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This paper cites Are large language models good statisticians?Advances in Neural Information Processing Systems, 37:62697–62731, 2024.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Are large language models good statisticians?Advances in Neural Information Processing Systems, 37:62697–62731, 2024

Reference 8

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Observation 9ff204ad-749c-48ef-a97b-da696b13364a · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing ReAct: Synergizing Reasoning and Acting in Language Models

Reference 9

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This paper cites Ds-1000: A natural and reliable benchmark for 12 data science code generation.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Ds-1000: A natural and reliable benchmark for 12 data science code generation

Reference 10

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Observation c9f45c4b-e365-44ce-94b6-d9d21dcce73d · outbound

This paper cites InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks

Reference 11

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Observation b7b4fe64-9111-4aac-8e71-5a507dd9ac22 · outbound

This paper cites DataSciBench: An LLM Agent Benchmark for Data Science.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DataSciBench: An LLM Agent Benchmark for Data Science

Reference 12

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Observation c1557f8b-cbf6-4f32-a05c-31576141a4ab · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 13

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This paper cites Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents

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This paper cites IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis

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This paper cites Fact or fiction: Verifying scientific claims.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Fact or fiction: Verifying scientific claims

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This paper cites Sciclaimhunt: A large dataset for evidence-based scientific claim verification.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Sciclaimhunt: A large dataset for evidence-based scientific claim verification

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Observation 967c7018-a6b1-49aa-9c25-6282fef5ebaf · outbound

This paper cites Musciclaims: Multimodal scientific claim verifi- cation.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Musciclaims: Multimodal scientific claim verifi- cation

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Observation 75554491-30c5-42cb-bed5-39805595e3d7 · outbound

This paper cites Investi- gating the reproducibility of the social and behavioural sciences.Nature, 652(8108):126–134, 2026.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Investi- gating the reproducibility of the social and behavioural sciences.Nature, 652(8108):126–134, 2026

Reference 19

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Observation 2e9418d9-cd96-49f7-b8f7-bbdd9163863e · outbound

This paper cites Towards end-to-end automation of ai research.Nature, 651(8107):914–919, 2026.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Towards end-to-end automation of ai research.Nature, 651(8107):914–919, 2026

Reference 20

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Observation bb557469-8e70-4498-822e-5276a4c060ee · outbound

This paper cites AI-Researcher: Autonomous Scientific Innovation.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing AI-Researcher: Autonomous Scientific Innovation

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This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

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This paper cites Development economics field experiments (dfeep).

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Development economics field experiments (dfeep)

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Observation 7af7ec38-d793-45e9-ade6-72a95d998e44 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing The cbio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.Cancer discovery, 2(5):401–404, 2012

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Integrative analysis of complex cancer genomics and clinical profiles using the cbioportal.Science signal- ing, 6(269):pl1–pl1, 2013

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Observation 5b5ffc14-a414-42a7-b78d-11cf301e6476 · outbound

This paper cites BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

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Observation 3509a304-b336-450a-a2e1-85062991a107 · outbound

This paper cites Introducing claude sonnet 4.6.https://www.anthropic.com/news/ claude-sonnet-4-6, February 2026.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Introducing claude sonnet 4.6.https://www.anthropic.com/news/ claude-sonnet-4-6, February 2026

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Observation d71be0a8-203a-4c60-a02d-d6a67a1c3ce9 · outbound

This paper cites Executable code actions elicit better llm agents.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Executable code actions elicit better llm agents

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DAPO: An Open-Source LLM Reinforcement Learning System at Scale

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Qwen2.5-Coder Technical Report

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This paper cites Introducing gpt-5.4.https://openai.com/index/introducing-gpt-5-4/, March.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Introducing gpt-5.4.https://openai.com/index/introducing-gpt-5-4/, March

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Observation 71e73ab9-e116-4aed-86a6-0400ae6b77c6 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Deepseek-v4: Towards highly efficient million-token context intelligence

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Observation 8c37b627-0242-4fa6-a6dc-129a9b438cbd · outbound

This paper cites Introducing gpt-oss.https://openai.com/index/introducing-gpt-oss/, 2025.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Introducing gpt-oss.https://openai.com/index/introducing-gpt-oss/, 2025

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Observation 6402fc39-cc60-48fe-9bb9-27fbc343b7b8 · outbound

This paper cites Qwen3-coder-30b-a3b-instruct.https://huggingface.co/Qwen/ Qwen3-Coder-30B-A3B-Instruct, 2025.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Qwen3-coder-30b-a3b-instruct.https://huggingface.co/Qwen/ Qwen3-Coder-30B-A3B-Instruct, 2025

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Observation df0caddc-0ea6-49f8-8c9c-80b35a7704a1 · outbound

This paper cites Qwen3 Technical Report.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Qwen3 Technical Report

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Observation 38312006-f686-462e-ae24-0e77b00ab9de · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Scaling generalist data- analytic agents, 2026

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Observation c8b03bf1-d1ee-4461-a21f-d5d7b661b266 · outbound

This paper cites Accessed: 2026-05-06.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Accessed: 2026-05-06

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Observation e7de4fcd-e169-406b-91ea-3254483e4b57 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Self-Refine: Iterative Refinement with Self-Feedback

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Reflexion: Language agents with verbal reinforcement learning.Advances in neural informa- tion processing systems, 36:8634–8652, 2023

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Observation d7ab10fe-dee9-4e4b-be02-276bb43b150b · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Voyager: An Open-Ended Embodied Agent with Large Language Models

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Swe-agent: Agent-computer interfaces enable automated soft- ware engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

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Observation 000e14c4-7303-4d23-bcd9-1596e22aecd7 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Proximal Policy Optimization Algorithms

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Observation c488ede0-f512-4ae6-9050-0a36aa648941 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

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Observation aaa26ca6-40be-4162-acf0-908c80fce4d3 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

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Observation ba795ca9-c6bf-41fb-af74-c838cfb26782 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Observation 53f52013-4298-4d13-9832-06e4463ba865 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Observation 3c61b79c-030c-42a0-88ff-cbac19d0b4fb · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing ToRL: Scaling Tool-Integrated RL

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Observation e6ce7ab3-ca53-44a0-960d-951f42109cd4 · outbound

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

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

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Observation 3a6b4ba9-845b-4056-be59-28eb4a5da243 · outbound

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

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing ToolRL: Reward is All Tool Learning Needs

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Observation ca4ee6f6-5d92-472b-95e6-2c5810b604f1 · outbound

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Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards

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Observation 65e2fbaa-1e39-42b7-8721-101cae37630c · outbound

This paper cites Effects of cognitive behavioral therapy and cash transfers on older persons living alone in india: a randomized trial.Annals of internal medicine, 176(5):632–641, 2023.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Effects of cognitive behavioral therapy and cash transfers on older persons living alone in india: a randomized trial.Annals of internal medicine, 176(5):632–641, 2023

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Observation 5b30023b-5725-4082-80ba-ac74832d7b4f · outbound

This paper cites Genomic characterization of metastatic patterns from prospective clinical sequenc- ing of 25,000 patients.Cell, 185(3):563–575, 2022.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Genomic characterization of metastatic patterns from prospective clinical sequenc- ing of 25,000 patients.Cell, 185(3):563–575, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:39:04.384842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5254a881-e8a1-488e-9cd5-2826d602f635 · outbound

This paper cites The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults.Annals of internal medicine, 122(3):191–203, 1995.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults.Annals of internal medicine, 122(3):191–203, 1995

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:39:04.369442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f15cf1cd-b341-43da-b393-5e0ccc2186a6 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T04:39:03.667845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c18f6e8-df20-41d5-b0d1-6c30635501c6 · outbound

This paper cites claim”: “drug improves patient outcome.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing claim”: “drug improves patient outcome

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:39:04.353710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation adbe0b92-7e51-427f-8525-b05ec970620f · outbound

This paper cites an unresolved cited work.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:39:04.336736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ddf3d3cd-3bf0-42c1-b65d-4b12483816bc · outbound

This paper cites an unresolved cited work.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:39:04.322049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 93bd0286-2b0f-47e0-8e6b-13789a89d806 · outbound

This paper cites an unresolved cited work.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:39:04.306832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 507ce3fc-5327-40f6-b266-2abf02d2f7e1 · outbound

This paper cites an unresolved cited work.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:39:04.290784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 163b0ec8-d481-4081-8989-a5e184270d91 · outbound

This paper cites an unresolved cited work.

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing Unresolved cited work

Reference 2026

Resolution: parse uncertain; no resolver link, observed 2026-08-10T04:39:03.560376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers