Interactive demo

Disruptiveness scoring

Seeded from this week's #1 paper. Drag factors to recompute the composite — same five-axis model used on cards and articles.

Calibrated to

AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement

arXiv:2608.20318 · editorial 93/100

Heuristic v1.1 · 6 topic-signal hits (2 in title), 0 boost phrases, claim=no, practical=yes. Editorial review recommended before publish. Cohort-calibrated to 93 (rank 1/20).

86

composite 86/100

Δ -7 vs editorial

Novelty98

Is this a new idea, proof, architecture, or measurement — or a small delta?

Impact potential98

If true, how much do roadmaps, products, or theory change?

Field heat100

How active is this subfield right now on arXiv and in labs?

Practicality100

Can someone act on this soon — devices, code, trials — or is it pure theory?

Controversy35

Does it challenge orthodoxy or invite healthy debate? (Not drama for its own sake.)

Scores are triage, not peer review. See methodology · open this paper · curation demo.