Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering | Paper Citation Record

Observation 5cf4e0ba-6e9b-4d5e-8f3a-83ab823e02be · outbound

This paper cites How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models

Reference 1

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Observation 5bff7c3d-1027-4a68-b60a-8b9e3a4e30ac · outbound

This paper cites Auffarth.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Auffarth

Reference 2

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Observation 65950c18-b38c-4e28-bc55-32d2c1c5becb · outbound

This paper cites Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets

Reference 3

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Observation 4dc59044-cd52-4c04-9385-184704d63124 · outbound

This paper cites Bettini, A.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Bettini, A

Reference 4

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Observation e7789e9b-689a-4f7d-a474-fd50a1cbab1d · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Why Do Multi-Agent LLM Systems Fail?

Reference 5

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Observation 562d99ad-f91b-4d84-bdfc-93e6135990aa · outbound

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

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 6

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Observation 8b256110-f9e9-46f8-a3f9-9ba7386e83d7 · outbound

This paper cites AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination

Reference 7

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Observation bdc1d8c5-c6e9-4e05-b4b8-2ab608847e2e · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 8

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Observation 5365d0a5-e56c-48fc-b398-e015cdf8afd5 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 9

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Observation ae532849-6683-43e6-814e-893cb6476163 · outbound

This paper cites an unresolved cited work.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 10

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Observation 40e11efe-9657-4742-977e-18346fee941c · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

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Observation 36987d3b-a370-49ec-9d7b-7409002be9de · outbound

This paper cites DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents

Reference 12

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Observation b7565a7f-ca71-4e08-9f3a-15eb3c84880e · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 13

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Observation cb3c5cb9-db31-46b1-a88f-ccc61f6b6e32 · outbound

This paper cites Errica, D.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Errica, D

Reference 14

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Observation 9043af6a-881e-4ff4-b319-2427ec7f6644 · outbound

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

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 15

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Observation 4c62d237-66f4-47e8-930c-37a9ae07b454 · outbound

This paper cites Grosnit, A.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Grosnit, A

Reference 16

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Observation f4cacc42-7757-44ac-abd0-a72cac0d4895 · outbound

This paper cites DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 17

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Observation 54a1a404-3e3c-44d7-80bc-c2351528290a · outbound

This paper cites an unresolved cited work.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 18

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Observation 2273c5e5-9c33-4e6b-8e1b-f6694a665b93 · outbound

This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering R-Zero: Self-Evolving Reasoning LLM from Zero Data

Reference 19

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

This paper cites MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation.

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

Reference 20

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Observation b3e7f591-feb9-4b26-97e4-f1410e1e70fe · outbound

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

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 21

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Observation 4eb5c0a1-c99f-4471-86e1-eacaa42ddc0c · outbound

This paper cites Jiang, J.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Jiang, J

Reference 22

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Observation 484669f9-3b08-40ed-aa54-97d11e3b37e2 · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering AIDE: AI-Driven Exploration in the Space of Code

Reference 23

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Observation 9b335ce2-d058-44f6-8d06-74991609702d · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 24

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Observation 66ebe250-73dd-4313-be8b-7aa0051acd37 · outbound

This paper cites DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:47.560956Z

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Observation a8dd8cca-2a5f-48ec-8141-ac6ce716bbee · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 26

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Observation e1654d27-9de8-471c-b6db-1ba5e75bf16b · outbound

This paper cites AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 27

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Observation cde98678-75b3-4d5c-b19d-db760d391139 · outbound

This paper cites Liang, Z.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Liang, Z

Reference 28

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Observation e92abd29-e79a-4e75-9b7a-43e31b2aba2a · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Large Language Model Agent for Hyper-Parameter Optimization

Reference 29

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Observation 99dcefc0-46f4-4ecc-9f88-47f3350f81cf · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 30

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Observation 7c2316a1-2487-4c09-b8b2-20bf3c450413 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 31

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Observation 82085697-697f-492e-8976-fbe492b63405 · outbound

This paper cites MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement

Reference 32

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Observation fbe3ca25-9898-4567-9bbc-77d51be55df5 · outbound

This paper cites Introducing openai gpt-5.OpenAI Blog, 2025.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Introducing openai gpt-5.OpenAI Blog, 2025

Reference 33

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Observation ab31ddc7-33f3-4aaf-9638-3fc9cef2795e · outbound

This paper cites Introducing openai o3 and o4-mini.OpenAI Blog, 2025.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Introducing openai o3 and o4-mini.OpenAI Blog, 2025

Reference 34

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Observation 07880117-07f1-489b-89d1-243abd7a8a73 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 35

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Observation 4d7dd1f4-ba19-4d6b-9f87-89d3edfdfb0d · outbound

This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 36

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Observation b7806e89-9db5-42cc-82d3-e938319bdd42 · outbound

This paper cites GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 37

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Observation f8184199-b1b0-4c94-b964-340a7718b476 · outbound

This paper cites Humanity's Last Exam.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Humanity's Last Exam

Reference 38

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Observation 3997331b-ae27-4dda-a97c-d4d2e363e6a3 · outbound

This paper cites Press, B.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Press, B

Reference 39

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Observation c21e4322-f1ba-4ff2-80b4-e53d494c83c9 · outbound

This paper cites MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

Reference 40

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Observation 53efcee7-34cd-412c-9c73-46adc0ba7a13 · outbound

This paper cites Qiang, Y.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Qiang, Y

Reference 41

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Observation f20aef37-c4a5-4912-8407-8c09289de51d · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 42

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Observation 45c52c6b-2565-4bce-b5e0-0280ae1f636b · outbound

This paper cites Shang, Y.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Shang, Y

Reference 43

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Observation 8b21ee08-d16c-4454-b242-05b533ac0dc2 · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 44

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Observation 5365ea3c-7a03-4ed2-b06b-3bd52ca636e1 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 45

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Observation 3e1dffac-109e-4453-9e1c-48b967604fc4 · outbound

This paper cites ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Reference 46

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Observation d19b1dfa-0de0-4fd0-9322-2bb55aeda36a · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 47

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Observation b2f48f2f-c040-4a8a-a1f3-d6eb9d05a93c · outbound

This paper cites Toledo, K.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Toledo, K

Reference 48

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Observation f7baaac6-fa2e-41b9-8885-05e91a823a40 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 49

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Observation 300ae76d-1246-4940-853e-c1785ad16084 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 50

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Observation 102f6301-0043-4f3e-92c6-3d998a33755e · outbound

This paper cites Simulating Human-like Daily Activities with Desire-driven Autonomy.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Simulating Human-like Daily Activities with Desire-driven Autonomy

Reference 51

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Observation 997ecc20-294c-4f87-9656-80f77c5de968 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 52

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Observation 736be7ab-e2d9-4522-be1b-eeb4e4383de0 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 53

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Observation 3898c4ef-8cea-4e28-a263-f226e51eea35 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 54

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Observation 107469e8-4acc-4131-8a58-d84fbfadbef1 · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 55

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Observation b223f18e-0fb4-47d0-86b2-c12b00bf2c00 · outbound

This paper cites Reinforcement Learning for Machine Learning Engineering Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Reinforcement Learning for Machine Learning Engineering Agents

Reference 56

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Observation d28e0a71-5e69-4c7b-a82c-79dd1f7355ab · outbound

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Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 57

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Observation bec55fd4-bb5d-4b1c-99b1-4982055f1a0a · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 58

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Observation 1e1d7ddc-847e-4a5b-bee7-5f80e8eff804 · outbound

This paper cites AutoML-GPT: Automatic Machine Learning with GPT.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering AutoML-GPT: Automatic Machine Learning with GPT

Reference 59

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Observation 1408ddfd-ee28-4dfa-8fc5-0cbb9df3d75e · outbound

This paper cites Zhang, L.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Zhang, L

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:49.588680Z

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Observation 07f3ec80-4d83-47df-8d06-6753530c2fd9 · outbound

This paper cites Zhang, R.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Zhang, R

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:49.768350Z

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Observation e918f3a6-097d-49d3-bf18-9ec17da754b6 · outbound

This paper cites Zhang, X.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Zhang, X

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:49.865472Z

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Observation f9d301ed-02d8-4fcd-80ff-f651f6a5f3bb · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-07-31T01:39:49.959361Z

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Observation 7663ac0e-e471-440f-abca-0ddba39ae6bf · outbound

This paper cites Combine training and testing data for consistent prepro- cessing.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Combine training and testing data for consistent prepro- cessing

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.113763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ec8327-0454-410a-bd68-e16da764f24c · outbound

This paper cites ,margin_64).

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering ,margin_64)

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.169715Z

Source-reported events for the cited work

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Observation f2f3768a-2e34-4b6c-9971-09cf53e710ff · outbound

This paper cites an unresolved cited work.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.229834Z

Source-reported events for the cited work

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Observation 3b703d2c-7219-4296-887c-6928073e94e3 · outbound

This paper cites Set is_unbalance=True, n_estimators=1000, learning_rate=0.05, min_child_samples=20, subsample=0.7, colsample_bytree=0.7, reg_alpha=0.1, reg_lambda=0.1,random_state=42, andn_jobs=-1.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Set is_unbalance=True, n_estimators=1000, learning_rate=0.05, min_child_samples=20, subsample=0.7, colsample_bytree=0.7, reg_alpha=0.1, reg_lambda=0.1,random_state=42, andn_jobs=-1

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.323177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d9170fa-27a3-4721-9d9f-1417dec764ad · outbound

This paper cites an unresolved cited work.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.508436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4221d847-8702-4007-b298-167ff3cb7d4e · outbound

This paper cites Save submission.csvto theoutput_pathusing absolute paths.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering Save submission.csvto theoutput_pathusing absolute paths

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:50.577219Z

Source-reported events for the cited work

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