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One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions explores A scale-autoregressive modeling approach for fluid flow distributions that achieves significantly lower error and higher accuracy than state-of-the-art diffusion models while running faster.. Commercial viability score: 7/10 in Scientific ML.
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Canonical ID one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributions | Route /paper/one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributions
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributionsMCP example
{
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/buildability/one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributions
Subject: One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
Verdict
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Dimensions overall score 7.0
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This equation describes how the model state or parameters are updated from one step to the next.
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Receipt path
/buildability/one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributions
Paper ref
one-scale-at-a-time-scale-autoregressive-modeling-for-fluid-flow-distributions
arXiv id
2604.11403
Generated at
2026-04-14T20:32:57.776Z
Evidence freshness
stale
Last verification
2026-04-14T20:32:57.776Z
Sources
4
References
0
Coverage
50%
Lineage hash
dcee880a958b3c82aaae6754401be31993c7a1deb5495133588799e3120b9d98
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Pending verification refs / 4 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. and physical information into node-wise feature vectors. The input attributes for each node i ∈V
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This equation describes how the model state or parameters are updated from one step to the next.
Page and bbox are available; crop image is pending.
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