A frozen 1.45M-parameter spiking world model with a small external fast-state module raises frozen-policy reward by 7.90 (CI [2.48, 14.06]) and improves held-out prediction under shear and attenuation while inherited semantic outputs stay bitwise unchanged.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models
A frozen 1.45M-parameter spiking world model with a small external fast-state module raises frozen-policy reward by 7.90 (CI [2.48, 14.06]) and improves held-out prediction under shear and attenuation while inherited semantic outputs stay bitwise unchanged.