newpublicAdvancedBenchmark / Challenge

Research problem 37: Theory systems

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

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

Systems · agents · graph

Originator: Admin CuratorComments: 3

-4

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: 396 GPUhDeadline: Mar 10, 2026

Related work

Datasets / Resources

HF Dataset:run-37

Status

Current statenew

Queue rank#30

ETA: 180h

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.

Public problems can be sponsored by any signed-in member. Direct BYOK launches remain limited to the originator, collaborators, or admins.

Discussion

Admin Curator · 2 months ago

Consider adding baselines for Agents and reporting compute.

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Kai Vision · 2 months ago

Consider adding baselines for Agents and reporting compute.

Admin Curator · 2 months ago

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

-2