newpublicAdvancedBenchmark / Challenge

Research problem 13: Graph systems

Created: Feb 14, 2026, 10:00 AMLast edited: Feb 14, 2026, 10:00 AM

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

Systems · agents · graph

Originator: Jon SystemsComments: 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: 204 GPUhDeadline: Mar 14, 2026

Related work

Datasets / Resources

HF Dataset:run-13

Status

Current statenew

Queue rank#29

ETA: 174h

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 Agents and reporting compute.

Ada Researcher · 2 months ago

Consider adding baselines for Agents and reporting compute.

-2

Jon Systems · 2 months ago

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

-2