Simulate rectified-flow Euler transport and compute straightness, reflow, and convex transport diagnostics.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill rectified_ode_reflow --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rectified_ode_reflow
description: Simulate rectified-flow Euler transport and compute straightness, reflow, and convex transport diagnostics.
---
# Rectified ODE Reflow
Use this skill when a learned rectified-flow velocity field must be integrated or audited for straightness. Do not use it to fit the velocity field.
## Inputs
- Initial samples `z0`.
- Affine velocity parameters compatible with `rectified_velocity_regression`.
- Euler step count.
## Outputs
- Final transported samples.
- Path length and direct endpoint distance.
- Straightness ratio and squared transport cost.
## Workflow
1. Integrate `z <- z + dt * v(z,t)` using Euler steps.
2. Accumulate segment lengths for each sample.
3. Compare accumulated path length with direct endpoint distance.
4. Report one-step and multi-step diagnostics for reduced recovery.
## Validation
Run `python tests/test_ode.py` or the Distiller validator with tests enabled.
## Limitations
The script checks the ODE/reflow mechanism on numeric vectors. Full image quality metrics require a separate heavy runtime that is outside this bounded reduced recovery.
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