Every paper, note, and technical report the lab has published. Most are long; many include code and reproductions. Sorted by date.

All research, in chronological order.
01

Why do models forget facts that they iteratively learn?

Rollout·OCT 2026
Max Kirkby
Jonathon
Michael Psenka
02

The Unreasonable Efficiency of a Single Gradient Step

Rollout·OCT 2026
Michael Psenka
aly-shariff
Max Kirkby
03

When does distillation help reinforcement learning?

Checkpoint·SEP 2026
Charles
Michael Psenka
Max Kirkby
04

Can a Language Model Learn Facts Continually in Its Weights?

Paper·JUL 2026
Charles
05

Post-Training Science for Supervised Fine-Tuning

Checkpoint·JUN 2026
Charles
Mudith
Harry
06

Still: Amortized KV Cache Compaction in a Single Forward Pass

Paper·JUN 2026
Charles
alex
Harry
Mudith
Max Kirkby
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