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Latest Publication · v3.2Preprint · 2026

MathematicsComputational ComplexityTensor Rank

Discovery of Bimodal Drift Rate Structure in Fast Radio Bursts

Abstract

We analysed 978 cosmic radio signals from a single source. Within it, the upward-drifting population splits into two statistically distinct groups.

Key boundcurrent best

ω ≤ 2.371866↓ 0.00034

Bound history6 iterations

2.37302.3719

Prior SOTAVassilevska Williams

2.371928

AuthorsArron et al.

Submitted2026-03-14

AccessOpen · CC BY 4.0

Length24 pp · 4 fig

Research distribution by domain

Papers submitted · 2024 – 2026 · n = 178

Median ω

8.8

4.14

Cumulative output+24% QoQ

Biologyx̃ 4.2+12%

Astrophysicsx̃ 5.8+28%

Mathematicsx̃ 6.8+32%

Physicsx̃ 10.6+18%

Interpretabilityx̃ 12.8+44%

AI Safetyx̃ 15.2+61%

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Discovery of Bimodal Drift Rate Structure in Fast Radio Bursts

We analysed 978 cosmic radio signals from a single source. Within it, the upward-drifting population splits into two statistically distinct groups.

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Researchat the frontier

Discovery of Bimodal Drift Rate Structure in Fast Radio Bursts

Highlights

Discovery of Bimodal Drift Rate Structure in Fast Radio Bursts

Research Areas

Discovery of Bimodal Drift Rate Structure in Fast Radio Bursts

Hunting for Real Wormholes: We Searched Every Available Dataset

Introducing Primus

The 50-Year-Old Algorithm We're Trying to Beat

Project CELSIUS: Rethinking AI Infrastructure from the Ocean Floor Up

Beyond Retrieval-Augmented Generation: How We Solved the Temporal Event Horizon Problem

Get new research in your inbox

Research
at the frontier