Evidence record 13772 · automatically gathered

Three-Body Scattering for Generative Modeling

Modern generative models typically rely on an adversarial critic, a prescribed noise-to-data path, or an autoregressive factorization. Instead, we show that a proper distributional energy can induce sample-level motion and provide direct regression supervision for a one-step generator. Three-Body Scattering Modeling (TBSM) for generation turns the energy distance into a constant-size per-projectile interaction: each projectile is attracted toward one real source and repelled from one independent

Record details

Published: 19 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Environment
Retrieved: 28 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (19 July 2026), “Three-Body Scattering for Generative Modeling,” evidence record 13772, https://ethics.ai/record/13772 (originally published by HuggingFace Daily Papers).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.