Paper Citation Record · LEDGER

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2605.16616.

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

pith.paper-citation-record.v1
2605.16616 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T19:59:40.519962Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:45:55.800152Z

Reference resolution

43 of 43 outbound references displayed

verified exact13
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b166c4b-c536-4ebf-8064-ab6cd53f0cf6 · outbound

This paper cites GPT-4 Technical Report.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility GPT-4 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.113477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e31bd759-e308-415c-ad3c-a810caa9e9bf · outbound

This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.403879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82dd0b20-74ad-4494-859a-e198958f7e08 · outbound

This paper cites Andres M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Andres M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.396093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58d4332f-1e00-4c80-b0c8-e5c3f61908f9 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility ChemCrow: Augmenting large-language models with chemistry tools

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.099705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04fe23f3-d80f-4a3b-a8a1-d1102e13cd29 · outbound

This paper cites Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, et al.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.407414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 92bd12e4-4819-4baa-8d3b-88a8a9a2219f · outbound

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

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.137430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 62a52266-d15c-461c-9fe8-8fde1897bea2 · outbound

This paper cites arXiv preprint arXiv:2505.19955(2025).

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility arXiv preprint arXiv:2505.19955(2025)

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.095253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ae8b600-47c5-42ad-9d29-ecefac5a3aa4 · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.130932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59815ca7-b530-4067-b208-b88c3b69b009 · outbound

This paper cites The Value of Prediction in Identifying the Worst-Off.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility The Value of Prediction in Identifying the Worst-Off

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.104273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca2e8f01-3988-47cc-910c-fb5e7c0cc65e · outbound

This paper cites Josh Givens, Song Liu, and Henry WJ Reeve.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Josh Givens, Song Liu, and Henry WJ Reeve

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.400467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9925bb4d-f02a-4681-90b2-6c30b7d84333 · outbound

This paper cites Score Matching With Missing Data.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Score Matching With Missing Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.124752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e027d510-67ac-46a0-b34e-d04081890451 · outbound

This paper cites Towards an AI co-scientist.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Towards an AI co-scientist

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.108786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f78992f4-4ce3-462a-b6a9-68a132b93bb6 · outbound

This paper cites ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.142766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b69a8c44-cb0f-4d33-b023-26623db79095 · outbound

This paper cites Idea2Plan: Exploring AI-Powered Research Planning.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Idea2Plan: Exploring AI-Powered Research Planning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-17T02:20:35.737828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bd1277b-9871-45f5-a3f5-18f0af05c50e · outbound

This paper cites InProceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations).

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility InProceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.427903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9551d984-19d5-4aa2-a7df-748a34ed964b · outbound

This paper cites https://www.intology.ai/blog/ zochi-tech-report.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility https://www.intology.ai/blog/ zochi-tech-report

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.431562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9e1b2ee-6db9-40a2-8b14-06cb12a01656 · outbound

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

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility AIDE: AI-Driven Exploration in the Space of Code

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:43.996922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8eabc3ba-713e-42fd-99c0-7591fd6dfcd7 · outbound

This paper cites Machine Learning115, 5 (2026).

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Machine Learning115, 5 (2026)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.410566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9f67b27-7dd0-4b06-a420-6ccc2042afe6 · outbound

This paper cites Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.025076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b55ba47-63d8-44a0-baa9-3762a2d948e9 · outbound

This paper cites Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.031083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b27f761-0e83-4968-b7d1-d84806b97925 · outbound

This paper cites Mlr-copilot: Autonomous machine learning research based on large language models agents.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Mlr-copilot: Autonomous machine learning research based on large language models agents

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:43.991684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8ece0086-ce39-4559-a478-f253f869ddb4 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.036698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 300413d4-f31d-4a8e-9275-467a4e57aec8 · outbound

This paper cites Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.013482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bb6bf2b1-c166-4a23-b57c-4b04936e025b · outbound

This paper cites MLGym: A New Framework and Benchmark for Advancing AI Research Agents.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.085167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71594fa6-0b39-467d-a124-ec2601e58981 · outbound

This paper cites AI Idea Bench 2025: AI Research Idea Generation Benchmark.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility AI Idea Bench 2025: AI Research Idea Generation Benchmark

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.974081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0756e5a5-7897-4a1e-b28d-37b3d15f0a15 · outbound

This paper cites Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.967487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3a48133-c903-433c-a2f9-319a0e231ab7 · outbound

This paper cites Minju Seo, Jinheon Baek, Seongyun Lee, and Sung Ju Hwang.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Minju Seo, Jinheon Baek, Seongyun Lee, and Sung Ju Hwang

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.423970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a6e87bc-99c4-4d28-829b-d371a70de1b4 · outbound

This paper cites Zachary S Siegel, Sayash Kapoor, Nitya Nagdir, Benedikt Stroebl, and Arvind Narayanan.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Zachary S Siegel, Sayash Kapoor, Nitya Nagdir, Benedikt Stroebl, and Arvind Narayanan

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.074843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e380be1-f4b2-4628-a75c-6e3b81f58de2 · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-24T01:14:19.028324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation deb8ea53-0f27-4d6b-8000-42b9fc854511 · outbound

This paper cites Conformal Prediction as Bayesian Quadrature.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Conformal Prediction as Bayesian Quadrature

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.007931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f52f1028-c800-40ec-a0c4-f19b8a7aee55 · outbound

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

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.002213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e720c4e-45a8-4000-ac09-a942e9132d31 · outbound

This paper cites AI-Researcher: Autonomous Scientific Innovation.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility AI-Researcher: Autonomous Scientific Innovation

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.047519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3fa7a11-82fd-420e-a2f6-a7b46370ccf0 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Gemini: A Family of Highly Capable Multimodal Models

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.041705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cc68a4f-c023-4249-8f2b-22f56d670f2d · outbound

This paper cites Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.413939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cedccc7d-ee4a-4bdb-97c2-a53372c98bab · outbound

This paper cites CycleResearcher: Improving Automated Research via Automated Review.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility CycleResearcher: Improving Automated Research via Automated Review

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.069785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a28acc7c-07de-4b87-8203-a5a354d290f8 · outbound

This paper cites CollabLLM: From Passive Responders to Active Collaborators.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility CollabLLM: From Passive Responders to Active Collaborators

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.080101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f49d13c1-7280-445b-b733-8e2cccab9811 · outbound

This paper cites SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:03:44.090179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ec5ac8a-d6b0-46f5-b3da-3512722da8d8 · outbound

This paper cites SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.052307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9aff99f0-4850-4eb6-b1f0-dde0fc3ad75f · outbound

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

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:03:44.057404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f88f855f-8dd1-40e0-8d56-2bd040ecf91c · outbound

This paper cites AI Scientists Fail Without Strong Implementation Capability.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility AI Scientists Fail Without Strong Implementation Capability

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:44.063892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f89d451-e4d1-40b6-bac6-7eecae9d90ae · outbound

This paper cites experiment_name.

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility experiment_name

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.417577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41d5decd-2981-446f-815a-19628d7fe986 · outbound

This paper cites target".

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility target"

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:59.420844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 05e10731-bada-4fa4-8566-3aca3ab0fcc2 · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility

Reference 190

Resolution: verified exact; local_arxiv, observed 2026-07-09T03:45:55.801393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.