arXiv (All)
open access
Macroscopic Response Diagnoses the Noise Sensitivity of Terminal Outcomes
Can the terminal macroscopic outcome of a many-body system be inferred from its microscopic initial data without simulating the full trajectory? Rather than construct such a shortcut, we address a more fundamental question for Gaussian microscopic inputs: can any fixed Wiener-Hermite degree retain a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On the 1/f fluctuations in the nonlinear systems affected by noise#639109
- Emergent Wigner-Dyson Statistics and Self-Attention-Inspired Prediction in Driven Bose-Hubbard Chains#798520
- Emergent Wigner-Dyson Statistics and Self-Attention-Inspired Prediction in Driven Bose-Hubbard Chains#797107
- Odd stochastic density functional theory#1116411
- A Computational Comparison of Fourier Spectral Differentiation and Spatial Automatic Differentiation in Periodic Physics-Informed Neural Networks#822512
Record · ID 1011693
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive