Paper Citation Record · LEDGER

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

As of 19 August 2026, this Paper Citation Record lists 100 of 128 outbound references and 9 inbound Pith citation observations for arXiv:2505.13941.

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

pith.paper-citation-record.v1
2505.13941 v1

Coverage vector

measured 100 of 128 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:12:31.239215Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:42.041812Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

100 of 128 outbound references displayed

verified exact2
verified fuzzy6
unresolved92
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation 7d1bddaa-00e3-4baf-8866-55d8b87d1004 · outbound

This paper cites https://www.kaggle.com/datasets/tylerx/ melbourne-airbnb-open-data.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation https://www.kaggle.com/datasets/tylerx/ melbourne-airbnb-open-data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.858012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d774a7-30e6-4b98-9ed3-36e7cec5ec01 · outbound

This paper cites https://www.kaggle.com/c/ petfinder-adoption-prediction/data/.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation https://www.kaggle.com/c/ petfinder-adoption-prediction/data/

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.862597Z

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Observation 928e8653-764b-4afb-b3b3-869dec1cecbc · outbound

This paper cites GPT-4 Technical Report.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.866362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4b6a1f-08a7-4315-b0c0-c066808c87a2 · outbound

This paper cites Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN).

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:12:31.923215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0175730-93f6-4c0f-859d-e8e86f691e26 · outbound

This paper cites Chronos: Learning the Language of Time Series.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Chronos: Learning the Language of Time Series

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.874169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97945513-e9af-4b6d-b9db-6f9f715f4e7c · outbound

This paper cites Claude 3.7 sonnet.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Claude 3.7 sonnet

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.878935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3a9485-3551-41ac-84f3-f2d90e4b8230 · outbound

This paper cites Doc- former: End-to-end transformer for document understanding.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Doc- former: End-to-end transformer for document understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.883592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274dc4db-8ba5-48b4-b04f-993fa51c6103 · outbound

This paper cites Program Synthesis with Large Language Models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Program Synthesis with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.886647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a96ee75-dab2-4429-b5ee-62bd099c9798 · outbound

This paper cites Covertype.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Covertype

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.891467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e157314-558a-42d1-bb28-7f7817dcca8d · outbound

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

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.895232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73bfde2c-c49a-4645-b8e1-c3522d5b9a60 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Evaluating Large Language Models Trained on Code

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.902470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934b53e8-cb05-4c15-a8e2-ce22e8bdbe1a · outbound

This paper cites Towards learning universal hyperparameter optimizers with transformers.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Towards learning universal hyperparameter optimizers with transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.905658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0904dd5a-52bc-4317-b596-0daaf712871e · outbound

This paper cites SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.909538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9212c0c8-b487-498e-a622-f15a24155748 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.913103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef574e8-9c54-4643-9038-307d0dd1c39a · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.917041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 130fca63-b5ce-4b7b-b5ba-ae866d8f8553 · outbound

This paper cites CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.920424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125af14b-0e74-4170-95bb-5af1eef3b75b · outbound

This paper cites Neural architecture search: A survey.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Neural architecture search: A survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.924437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d8f317d-feb9-4ea6-9870-27a36253f86c · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.927714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62ddac2-a65b-41ea-b728-f441ea57cc1a · outbound

This paper cites Auto-sklearn 2.0: Hands-free automl via meta-learning.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Auto-sklearn 2.0: Hands-free automl via meta-learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.931943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4b88a3-b719-49f8-961b-c9994d66b149 · outbound

This paper cites Efficient and robust automated machine learning.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Efficient and robust automated machine learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.935230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02ec408-487f-413e-804a-838558f987e3 · outbound

This paper cites The Llama 3 Herd of Models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.938716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d39737c-d91d-4382-8243-49fe747b450b · outbound

This paper cites Large language models orchestrating structured reasoning achieve kaggle grandmaster level.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large language models orchestrating structured reasoning achieve kaggle grandmaster level

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.943410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff04700-927e-4eac-84db-7e37d9b2c581 · outbound

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

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.947136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea9b01b-1b62-4199-93c1-46cc14192d2d · outbound

This paper cites Analysis of the automl challenge series.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Analysis of the automl challenge series

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.950843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98807b0f-a728-4bb4-86be-6d5b3dd24d58 · outbound

This paper cites Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.954809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a7ce78-a725-4537-80a9-487e7227abf1 · outbound

This paper cites Evaluation of deep convolutional nets for document image classification and retrieval.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Evaluation of deep convolutional nets for document image classification and retrieval

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.957827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c7a0c6-65f8-4ba1-86da-309fd3facfde · outbound

This paper cites Automl: A survey of the state-of-the-art.Knowledge- based systems, 212:106622, 2021.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Automl: A survey of the state-of-the-art.Knowledge- based systems, 212:106622, 2021

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.961465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee23481-a0c0-4c4f-96c7-c8d224d23224 · outbound

This paper cites Caafe: Combining large language models with tabular predictors for semi-automated data science.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Caafe: Combining large language models with tabular predictors for semi-automated data science

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.965133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6592bae-cdf8-423c-8135-4dab748311f7 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Data Interpreter: An LLM Agent For Data Science

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.968216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896379dd-cb74-4897-9137-c898758143e5 · outbound

This paper cites Large language models for software engineering: A systematic literature review.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large language models for software engineering: A systematic literature review

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.971816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab0ad9a5-5683-426a-b343-92dc66010113 · outbound

This paper cites Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.975121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.978625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3db0970-ded7-4082-a938-39a1c71e2068 · outbound

This paper cites Global flood depth-damage functions: Methodology and the database with guidelines.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Global flood depth-damage functions: Methodology and the database with guidelines

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.982524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3624ab1d-c125-4598-b926-a9fe0cd57a0f · outbound

This paper cites LLM Performance Predictors are good initializers for Architecture Search.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation LLM Performance Predictors are good initializers for Architecture Search

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.985785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c699d00-08d0-4977-a04d-90f27b8722fe · outbound

This paper cites A Survey on Large Language Models for Code Generation.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation A Survey on Large Language Models for Code Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.990563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d639be-d5e0-4bbc-bea3-f0da0bbdf474 · outbound

This paper cites Self-planning code generation with large language models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Self-planning code generation with large language models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.994311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cba2449-3b07-46d5-ad13-5c461e03cd93 · outbound

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

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AIDE: AI-Driven Exploration in the Space of Code

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:30.997567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebbb4964-c92f-434f-86c6-0db0e122ca39 · outbound

This paper cites Autokeras: An automl library for deep learning.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Autokeras: An automl library for deep learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.000975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f92207-6c73-41f7-bbd7-2eef697506e7 · outbound

This paper cites AutoML Benchmark with shorter time constraints and early stopping.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AutoML Benchmark with shorter time constraints and early stopping

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:12:31.691750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad8ba3c6-040c-482e-b0b2-119f6a90ad43 · outbound

This paper cites The hateful memes challenge: Detecting hate speech in multimodal memes, 2021.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation The hateful memes challenge: Detecting hate speech in multimodal memes, 2021

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.008604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cefd9f-9551-4858-8b01-9846a2a8c786 · outbound

This paper cites Anabranch network for camouflaged object segmentation.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Anabranch network for camouflaged object segmentation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.012046Z

Source-reported events for the cited work

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Observation 47b3a207-ba64-456b-b57d-d6c6fe773217 · outbound

This paper cites StarCoder: may the source be with you!.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation StarCoder: may the source be with you!

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.015259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f20935b-ff63-4093-bff5-3b13eac8a83d · outbound

This paper cites Competition-level code generation with alphacode.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Competition-level code generation with alphacode

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.018844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dfcc0a1-aafd-447b-9ef6-6d7de6fba2aa · outbound

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

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.021986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e2ea4d-556a-45ca-ad94-12fd3e5352bf · outbound

This paper cites I-mcts: Enhancing agentic automl via introspective monte carlo tree search.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation I-mcts: Enhancing agentic automl via introspective monte carlo tree search

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.026052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8861bc6a-257e-4371-8111-eae0b149244e · outbound

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

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large Language Model Agent for Hyper-Parameter Optimization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.029182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9404fbc1-054e-47c1-bdb6-5b8780259abc · outbound

This paper cites OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.032540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8d41984-ac85-4a72-a9bd-980f303a667e · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Chameleon: Plug-and-play compositional reasoning with large language models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.036247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e979e86-430b-4746-a669-b9aa9e96b37e · outbound

This paper cites Memotion 3: Dataset on sentiment and emotion analysis of codemixed hindi-english memes, 2023.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Memotion 3: Dataset on sentiment and emotion analysis of codemixed hindi-english memes, 2023

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.039856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be352a10-d6e7-4fbe-a29f-930f7e1b1121 · outbound

This paper cites University of Toronto (Canada), 2013.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation University of Toronto (Canada), 2013

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.044416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6f1652-6686-428a-9863-2525624f7d9b · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation MTEB: Massive Text Embedding Benchmark

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.049009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e84ca0c-b83c-4688-bda0-150a6f513f50 · outbound

This paper cites Automated data processing and feature engineering for deep learning and big data applications: a survey.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Automated data processing and feature engineering for deep learning and big data applications: a survey

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.052884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f070684d-9807-4e40-b77d-9a3d960fcdb2 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.056428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9ed6d0-5064-47a0-97a2-3e5859a6c2aa · outbound

This paper cites Llmatic: neural architecture search via large language models and quality diversity optimization.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Llmatic: neural architecture search via large language models and quality diversity optimization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.060342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5325d8-6d9a-4da5-90ca-de0c63857aa7 · outbound

This paper cites Introducing gpt-4.1 in the api, April 2025.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Introducing gpt-4.1 in the api, April 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.065222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b06d92b-95f7-46c2-9b0f-42e49a487079 · outbound

This paper cites Openai codex cli: Lightweight coding agent that runs in your terminal.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Openai codex cli: Lightweight coding agent that runs in your terminal

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.069088Z

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Observation 64f0c689-5b90-4722-b802-c832be5b22ff · outbound

This paper cites Openai o3 and o4-mini system card, April 2025.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Openai o3 and o4-mini system card, April 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.072723Z

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Observation 8dfedf29-63eb-4908-ac5f-0400194ce343 · outbound

This paper cites Openai o3-mini.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Openai o3-mini

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.076245Z

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Observation edc23ee0-9e11-4563-8f23-e5bf2b563090 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.079599Z

Source-reported events for the cited work

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Observation 5958fbca-d06c-423d-a7e0-b94a171fb45b · outbound

This paper cites TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.083337Z

Source-reported events for the cited work

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Observation fe91d712-2aac-445a-ab88-e297456cd5f5 · outbound

This paper cites One million posts: A data set of german online discussions.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation One million posts: A data set of german online discussions

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.087036Z

Source-reported events for the cited work

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Observation db62f9ec-c906-4644-a48e-72371ca15633 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Toolformer: Language models can teach themselves to use tools

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.090535Z

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Observation dcd0e0d1-ac66-4a35-9a1e-ce02c1fc55aa · outbound

This paper cites A corpus for multilingual document classification in eight languages.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation A corpus for multilingual document classification in eight languages

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.093806Z

Source-reported events for the cited work

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Observation f4d243f7-ffd8-457b-ba12-41021fde21c1 · outbound

This paper cites Autogluon–timeseries: Automl for probabilistic time series forecasting.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Autogluon–timeseries: Automl for probabilistic time series forecasting

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.097682Z

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Observation 309637c8-904b-4c14-bfc7-37816dc4f47e · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.101926Z

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Observation b2ea271a-5f84-42bc-8a4c-48f1fb2f2bc0 · outbound

This paper cites AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.105861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58deb354-60a3-4bac-b3ad-8e0da85b5219 · outbound

This paper cites BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.109713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a98436-fb6c-430c-8352-5fd03acc7078 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.113481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be14125-a3e0-4dac-8c26-21e7e8e5c690 · outbound

This paper cites AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.117990Z

Source-reported events for the cited work

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Observation b95d7191-bd04-450e-b225-8f348c7dde6c · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.122763Z

Source-reported events for the cited work

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Observation 0c376685-1b41-4191-8874-92073f790d4e · outbound

This paper cites Openhands: An open platform for ai software developers as generalist agents.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Openhands: An open platform for ai software developers as generalist agents

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.127736Z

Source-reported events for the cited work

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Observation 57b78269-1397-49cc-8174-902ee5645fc5 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large Language Models are Better Reasoners with Self-Verification

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.131110Z

Source-reported events for the cited work

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Observation 0a885f0d-04f1-483f-96ce-0e67d1180372 · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.134880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f63fed9-8b09-47b6-baee-c7cd0418246b · outbound

This paper cites On hyperparameter optimization of machine learning algorithms: Theory and practice.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation On hyperparameter optimization of machine learning algorithms: Theory and practice

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.138037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2101024f-153c-423b-8afd-150c935d05f1 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.141990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1382ebd0-07a4-4194-a0a0-dab89fbeb6ea · outbound

This paper cites Multimodal price prediction.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Multimodal price prediction

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.146367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bae3cfb-d21a-434b-876a-5d6e4baf2347 · outbound

This paper cites Large Language Models as Data Preprocessors.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Large Language Models as Data Preprocessors

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.150765Z

Source-reported events for the cited work

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Observation 3e9b4dcf-49b7-490c-992b-29552b778869 · outbound

This paper cites Using Large Language Models for Hyperparameter Optimization.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Using Large Language Models for Hyperparameter Optimization

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.154602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8353f915-b9a7-4af3-891b-603f6a83ce93 · outbound

This paper cites Retrieve anything to augment large language models, 2023.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Retrieve anything to augment large language models, 2023

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.159142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29eb6ed0-7c82-4ad9-baf0-9b39074f8e0f · outbound

This paper cites Planning with Large Language Models for Code Generation.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Planning with Large Language Models for Code Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.163479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a6d12dc-c7a6-412b-9e42-081bee63ffbc · outbound

This paper cites Openfe: Automated feature generation with expert-level performance.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Openfe: Automated feature generation with expert-level performance

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.168100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630b1520-9832-440f-93a1-655f8ee0e070 · outbound

This paper cites Lifelong learning of large language model based agents: A roadmap.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Lifelong learning of large language model based agents: A roadmap

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.171607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dcf13ef-4411-413d-81df-3189ce6217bb · outbound

This paper cites Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.176814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79a4b3a-dee2-4a17-a8c0-0806a2e91fe9 · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation import os)

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.182544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 147f99ec-0c17-4c30-86ed-c6218fe77de7 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.185839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135dcb30-17e8-4df5-aea6-7138b46929b5 · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation - Count total rows and provide basic statistics

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.189710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee8c36c-d00f-40d1-b1a4-5a303d4cd635 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:31.193961Z

Source-reported events for the cited work

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Observation b3246bed-8db0-449d-a1d8-2f16bf1e0a21 · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation 6. For other files, provide appropriate summary

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.360093Z

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Observation 518a6c37-2697-403d-b20e-6e351296d0c8 · outbound

This paper cites "" Generated Code Example: import pandas as pd import os # Get absolute path and file size file_path =.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation "" Generated Code Example: import pandas as pd import os # Get absolute path and file size file_path =

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.349152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 494ea061-0ec7-41a2-be19-cf184cc1f86a · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.337056Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40afd890-7134-4ebe-aecb-04f6670dfff9 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.326087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fa62fd1-7677-4d9e-a27a-8a1cf04c667e · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation This is a continuation of the previous chunk

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.315949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e67b6b39-70c4-49d8-9e9a-aa6976a36435 · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.305517Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 975edf04-c769-4662-9538-041429ffc961 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.293768Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47773dd9-3c10-4d61-9a5a-0774985e66c2 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.281493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa734216-5ac7-4b73-acb3-79fb5b08bacd · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Summary:

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.271377Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9249eda8-1958-4192-b441-7fc97b54f7b1 · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.261402Z

Source-reported events for the cited work

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Observation f9692183-3684-4260-a9c2-3083b636bd7b · outbound

This paper cites an unresolved cited work.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:12:32.251676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a766bbd5-1576-4161-8204-15532e93ef60 · outbound

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MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Summary:

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.240857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8949a753-e45d-4e36-bce1-26f5208b65e4 · outbound

This paper cites - Remove the unneccesary index column (if applicable).

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation - Remove the unneccesary index column (if applicable)

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:32.231505Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 94944e49-271f-4d95-bf27-d11cf462d1ab · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:42.041812Z

Source-reported events for the cited work

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Observation 4f36a565-35f1-4b2c-b83a-fe0cb8a87127 · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06f2b93d-0937-4a4a-9412-a55b5b24f158 · inbound

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML cites this paper.

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T23:25:33.044396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b0146c-41ba-4ffc-b07d-83e9b14762c0 · inbound

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AgentGA: Evolving Code Solutions in Agent-Seed Space MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:20.982828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22a3c8af-78ee-444e-8090-c5c254a97dbb · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:16:20.182473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ba83882-6130-451b-956a-4dc2a37f937f · inbound

DataMaster: Data-Centric Autonomous AI Research cites this paper.

DataMaster: Data-Centric Autonomous AI Research MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:24.883075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52f84ab3-13bb-4f94-b5b6-1412e86e0e70 · inbound

DataMaster: Data-Centric Autonomous AI Research cites this paper.

DataMaster: Data-Centric Autonomous AI Research MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:59.165683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68d9ebc9-c333-422f-9276-5f7102ba9f2e · 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 MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.838227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9043af6a-881e-4ff4-b319-2427ec7f6644 · 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 MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T01:39:46.815411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.