pith:T35VLSWO
Soft-to-Hard Routing in Sparse Mixture-of-Experts Models
The zero-temperature limit of softmax-routed mixture-of-experts is governed by a thin geometric layer around routing interfaces rather than the full input space.
arxiv:2605.02124 v2 · 2026-05-04 · cs.LG · cs.AI · math.PR
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Claims
Under smoothness and transversality assumptions on the router and input law, we prove coarea/tube estimates showing that this mass is linear in the slab width, with leading constant given by a surface integral over the routing interface in the binary case. These estimates yield quantitative soft-to-hard risk bounds and, under compactness and uniform margin control, Γ-convergence of the soft objectives to the hard-routing objective. The main conclusion is that the zero-temperature limit is controlled by a thin geometric layer around routing interfaces, not by the full input space.
Smoothness and transversality assumptions on the router and input law (invoked to obtain the coarea/tube estimates for boundary mass).
Boundary mass in MoE is linear in slab width under smoothness and transversality, so the zero-temperature limit is governed by a thin geometric layer around routing interfaces rather than the full input space.
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| First computed | 2026-05-26T01:03:31.888653Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9efb55cace68a97cf50db227cfc53157698e20cf20547a1d20201b260c92060b
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/T35VLSWONCUXZ5INWIT47RJRK5 \
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Canonical record JSON
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