Behavior Forecasters trained on LRM trajectories outperform larger models in predicting repeatability and input sensitivity at low cost.
2509.13334 , archivePrefix=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AGCLR extends CoCoNuT with a gated concept stream for persistent memory to fix fact loss in latent reasoning, yielding improvements on reasoning benchmarks as depth increases.
citing papers explorer
-
Forecasting Future Behavior as a Learning Task
Behavior Forecasters trained on LRM trajectories outperform larger models in predicting repeatability and input sensitivity at low cost.
-
Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning
AGCLR extends CoCoNuT with a gated concept stream for persistent memory to fix fact loss in latent reasoning, yielding improvements on reasoning benchmarks as depth increases.