MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation | Paper Citation Record

Observation e22682f9-6d22-4950-8ab2-4df6f2cbf0ab · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 164

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Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction cites this paper.

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 5

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RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts cites this paper.

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 31

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Observation 2e654b03-1055-4c8e-81a8-94424a24131e · inbound

How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? cites this paper.

How Well Can Modern LLMs Act as Agent Cores in Radiology Environments? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 51

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A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 243

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Observation 2362b601-a1e3-4c51-bafb-9189be1bc3b5 · inbound

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application cites this paper.

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 31

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HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems cites this paper.

HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

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Observation 06221fec-513e-4339-bd7c-6c3668e36722 · inbound

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery cites this paper.

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 21

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Observation 33a3b63b-61a8-4645-be24-bb57c4251e68 · inbound

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation cites this paper.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 33

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Observation a9e4d109-9fac-4863-ae07-f3aa906b5f2d · inbound

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem cites this paper.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 50

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Observation 497203fd-20c9-4fac-8251-62b635e883c4 · inbound

CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models cites this paper.

CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 2023

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Observation 36be6c58-142b-41d6-af9d-7998f68f4ee6 · inbound

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving cites this paper.

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 15

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Observation 5cc0eecf-07f5-42c9-8155-d58f6c755ec1 · inbound

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development cites this paper.

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 19

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Observation cdc97199-e562-4ef9-abd7-04dff8b60230 · inbound

Predicting Empirical AI Research Outcomes with Language Models cites this paper.

Predicting Empirical AI Research Outcomes with Language Models MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 6

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Observation c0913741-ea1a-45d3-8443-1b3869f10af8 · inbound

Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data cites this paper.

Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 9

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Observation 9240ddd9-22e9-456f-af9c-378e3fe489c8 · inbound

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 62

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Observation 824bc8cf-a92d-44e2-b1bf-97ae87bf6406 · inbound

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning cites this paper.

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 21

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Observation 34a0a56a-b63d-4394-94e3-d06fd10fc306 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 45

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Observation 4af3d1df-4469-45d9-87ff-caa730185580 · inbound

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? cites this paper.

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:47.622941Z

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Observation 43152c97-83f1-4231-afce-e6da05582938 · inbound

Agent Identity Evals: Measuring Agentic Identity cites this paper.

Agent Identity Evals: Measuring Agentic Identity MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 32

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Observation a62dac5d-51ee-4299-b37e-9688afd25f0a · inbound

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems cites this paper.

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:22:51.733291Z

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Observation 47afa8af-5f77-41d0-8d91-daac13edd68a · inbound

Reinforcement Learning for Machine Learning Engineering Agents cites this paper.

Reinforcement Learning for Machine Learning Engineering Agents MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 4

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Observation 227d29d8-f707-437a-8499-71de11a6b9e8 · inbound

Towards Adaptive ML Benchmarks: Web-Agent-Driven Construction, Domain Expansion, and Metric Optimization cites this paper.

Towards Adaptive ML Benchmarks: Web-Agent-Driven Construction, Domain Expansion, and Metric Optimization MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:21:20.629076Z

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Observation 19e65b4c-d119-4f78-a9e3-fd558d2d7f9d · inbound

Can We Predict Before Executing Machine Learning Agents? cites this paper.

Can We Predict Before Executing Machine Learning Agents? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T15:43:03.592807Z

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Observation b4090343-b136-41b7-b2cd-14bd4c35b2d0 · inbound

AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering cites this paper.

AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:32:27.339639Z

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Observation d2b289d4-6ea3-4b36-b315-08cd9ed0c454 · inbound

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search cites this paper.

Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:50:12.229176Z

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Observation dd51afc6-27d5-4d56-9342-87524914d2e2 · inbound

Pioneer Agent: Continual Improvement of Small Language Models in Production cites this paper.

Pioneer Agent: Continual Improvement of Small Language Models in Production MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:57.368134Z

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Observation cd3f2020-b5ed-4450-bbe0-7742b0f2ee6c · inbound

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:03.453162Z

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Observation 223bdcbf-c044-43d3-a82e-c276b1d41722 · inbound

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration cites this paper.

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:35.049357Z

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Observation 8e9faee6-5976-4c31-b9fa-35f042e7b416 · inbound

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:56:33.865350Z

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Observation 147f34cf-774e-4056-a5f2-7dbc53eb5c5c · inbound

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale cites this paper.

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:01:13.385053Z

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Observation 086c5d67-6e5b-4777-889d-4c4053514e26 · inbound

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale cites this paper.

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-05T17:51:14.745073Z

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Observation 9faebeff-3442-4c9e-920a-b387b6f37505 · inbound

Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation cites this paper.

Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 11

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Observation 83d892e4-5187-48a9-84a4-4ec6ee350ed5 · inbound

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse cites this paper.

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:42:59.121140Z

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Observation 72e9c313-cd13-4bd5-a23a-2b5b36a1f247 · inbound

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse cites this paper.

Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:04.193134Z

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Observation 6ab426c4-9ec5-48d3-b3f7-f1bbf567ca0d · inbound

Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction cites this paper.

Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:05:06.747450Z

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Observation 7d92aaab-5869-465d-b174-a9f8e419e1e8 · inbound

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks cites this paper.

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:32:43.734709Z

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Observation faa7c95a-d138-42c4-95fb-b654ee60a4e1 · inbound

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility cites this paper.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:43.962049Z

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Observation d0dab6a4-af03-438e-b8d0-050a0e77b66f · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:28:21.467445Z

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Observation 65df9179-0ebe-4a8f-acc9-3fa4c16117b7 · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.912674Z

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Observation 9d3d2142-eb7d-4ff4-8b8b-ced9c26b255a · inbound

How Far Are We From True Auto-Research? cites this paper.

How Far Are We From True Auto-Research? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T09:58:11.238700Z

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Observation 792e23f6-c3ff-4f18-b586-b2a53000ffce · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:50:21.832940Z

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Observation f42692fa-8b91-4298-acb2-9a463988e008 · inbound

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence cites this paper.

ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:59.113747Z

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Observation 10091f2b-0aad-42d7-bf17-f83624152935 · inbound

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation cites this paper.

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:43:25.675420Z

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Observation adf244bb-13de-4a2d-be08-e6597990a58a · inbound

LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis cites this paper.

LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:03:16.040070Z

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Observation a251f68d-354f-4671-9add-bf046b693955 · inbound

Can Generalist Agents Automate Data Curation? cites this paper.

Can Generalist Agents Automate Data Curation? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:56:35.140323Z

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Observation 137e84eb-005c-41d3-b6ad-e2b7e31e2fdf · inbound

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model cites this paper.

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:06:51.697112Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e5178ee-23cf-4342-8f27-b7e1bedac843 · inbound

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery cites this paper.

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.786067Z

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Observation 15c51748-9d40-4cd7-bb6b-27f5de7401c7 · inbound

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research cites this paper.

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:33:15.805420Z

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Observation 0f774748-35f1-4c5d-8cef-ef19ab480933 · inbound

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research cites this paper.

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.575746Z

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Observation 701e14d2-be9f-4733-a559-bf63a93985bb · inbound

Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories cites this paper.

Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.772034Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84420d36-0c62-49d9-9907-497a96646daf · inbound

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization cites this paper.

Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.943758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cd2f965-2ec6-4874-b5dd-4df2b11b08cd · inbound

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems cites this paper.

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:59:32.715993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9e68e22-d9e6-4cc4-86ef-bfa3f0a25ec7 · inbound

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:43.504947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f90db1d0-05fc-4791-aa6b-ce31a1fafd1c · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.799757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34e973d5-9efb-483a-94d1-008b7dde1658 · inbound

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? cites this paper.

NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T12:32:39.706055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1c4257-7653-40c1-84d5-31e249cf05cf · inbound

Glite ARF: Verifier-Driven Research with Parallel LLM Coding Agents cites this paper.

Glite ARF: Verifier-Driven Research with Parallel LLM Coding Agents MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:02.745752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebac2fff-1b08-4520-86b8-79572d0a36ec · inbound

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:21.196292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5df1d11f-51c6-4bf4-85fa-92d80987df8b · inbound

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks cites this paper.

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-15T10:24:53.345620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee6a2fc-46ff-4d74-b42a-5d17c42349a2 · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:35:42.748977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 490b25af-c307-4926-b17b-7874354c2ff5 · inbound

FARS: A Fully Automated Research System Deployed at Scale cites this paper.

FARS: A Fully Automated Research System Deployed at Scale MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T16:55:37.417202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6bea006-f3cf-4edf-8e8c-13f3d8637773 · inbound

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation cites this paper.

Compression, structure, and executor capability: a controlled real-cost decomposition of language-model agent skill optimisation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T05:14:41.315225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec7eccd-f664-4f90-aedf-6adcbf74213f · inbound

ArchEval: Measuring AI Agents as Computer Architects cites this paper.

ArchEval: Measuring AI Agents as Computer Architects MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T01:16:50.927415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4cb8144-1aa6-4c15-8402-fc415491b0be · inbound

When Does Restricting a Coding Agent to execute_code Help? A Regime $\times$ Agent-Design Ablation cites this paper.

When Does Restricting a Coding Agent to execute_code Help? A Regime $\times$ Agent-Design Ablation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:46:01.272433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8915d0f7-10cf-4049-800f-45908588bdda · inbound

StarCodex: Dynamic Coding Harness for Starlink Measurement Analysis and Experiment Automation cites this paper.

StarCodex: Dynamic Coding Harness for Starlink Measurement Analysis and Experiment Automation MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T23:04:49.393664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75e97664-e545-4253-a3ab-ac63e16441ba · inbound

SQBench: A Benchmark for Evaluating Task Delivery by Language-Model Agents in Production-Oriented Workflows cites this paper.

SQBench: A Benchmark for Evaluating Task Delivery by Language-Model Agents in Production-Oriented Workflows MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T03:35:43.019419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668008f8-d1d1-4c27-9fb9-3c117585f4d5 · inbound

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering cites this paper.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:47.207858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e976994-74ce-40cc-be05-cb29731d9f6d · inbound

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems cites this paper.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T11:00:13.304321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfabdb40-308d-4ade-9774-d158da25aaf2 · inbound

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch cites this paper.

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T00:51:32.809698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1873b8c-4f30-4464-b184-fb473de7d847 · inbound

Towards a new paradigm of scientific discovery with socialized artificial intelligence cites this paper.

Towards a new paradigm of scientific discovery with socialized artificial intelligence MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T15:02:48.155720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a76272-45cc-4970-8ec7-f3dfe9430d26 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 186

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.147268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f909b1-6832-467f-b923-e52a84a786e0 · inbound

Evo-Bench: Can Language Models Improve Agent Harness? cites this paper.

Evo-Bench: Can Language Models Improve Agent Harness? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:44:24.114790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f998b68-8bfa-4d4e-b156-2a4bcfd2b75a · inbound

Evo-Bench: Can Language Models Improve Agent Harness? cites this paper.

Evo-Bench: Can Language Models Improve Agent Harness? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:22:26.653121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d398fb-3d0b-4ab0-8dfb-c691452f1b71 · inbound

verdi: retrieval is not transfer for continual world model optimization cites this paper.

verdi: retrieval is not transfer for continual world model optimization MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-11T15:34:09.138177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a32d19f-9c42-4377-8d46-6418a4e133d2 · inbound

DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? cites this paper.

DSAgentBench: Can Agents Automate End-to-End Data-Science Workflows in Real Computer Environments? MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:46.440154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0fc178-9d5c-4096-9224-1b83e2470f95 · inbound

VALG: An Agentic System for ML Theory Research cites this paper.

VALG: An Agentic System for ML Theory Research MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:14.910309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers