pith:FK2RKBBY
Controlling Transient Amplification Improves Long-horizon Rollouts
Non-normal and non-commuting Jacobians along rollout trajectories cause transient error amplification and long-horizon drift even in asymptotically stable systems.
arxiv:2605.08856 v2 · 2026-05-09 · cs.LG
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Claims
When Jacobians along an autoregressive trajectory are non-normal and non-commuting, the model amplifies errors transiently, resulting in rollout drift even when the overall system is asymptotically stable; commutativity regularization reduces this amplification and enables successful long-horizon rollouts over thousands of steps.
The linearization analysis around rollout trajectories captures the dominant source of long-horizon error, and the two proposed penalties can be tuned to reduce normality defect and commutator norm without introducing new instabilities or degrading short-horizon accuracy.
Commutativity regularization mitigates transient error amplification in autoregressive neural simulators by penalizing non-normality and non-commutativity of Jacobians, yielding stable long-horizon rollouts.
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| First computed | 2026-05-20T00:00:41.641197Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ab5150438ae68c9074ca915b2ba91dd26c065ff66e680984aaeb6ed86732833
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Canonical record JSON
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