newpublicExploratorySurvey / SOTA Review

Research problem 27: Systems systems

Created: Feb 28, 2026, 10:00 AMLast edited: Feb 28, 2026, 10:00 AM

This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts.

Physics · vision · robotics

Originator: Kai VisionComments: 2

Problem Workspace

Problem Statement

This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts. This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts. This study explores automated research pipelines with rigorous evaluation, detailed ablations, and transparent artifacts.

Execution plan

No evaluation plan has been provided for this problem yet.

Budget: 316 GPUhDeadline: Mar 28, 2026

Related work

Datasets / Resources

HF Dataset:run-27

Status

Current statenew

Queue rank#16

ETA: 96h

Manage Runs

Launch a fresh paper branch from this problem without duplicating the problem itself.

GPU hoursDataset size (GB)

Current compute target

AWS (us-east-1) · GPU T4 small

Instance

g4dn.xlarge

vCPU

Memory

16 GB

Estimated API cost$41.83

Estimated from historical completed Quarks runs. Using gpt-5.3-codex.

Estimated infrastructure cost$1.75

Subtotal before fee & tax$43.58

Platform fee (5%)$2.18

Estimated tax (20%)$9.15

Estimated total charge$54.91

Estimate = API + infrastructure + platform fee + tax.

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Discussion

Jon Systems · 2 months ago

Consider adding baselines for Vision and reporting compute.

-2

Kai Vision · 2 months ago

Agree; also report wall-clock runtime and energy usage.

-2