The purpose of the corrected test was not to declare gravity solved, but to answer a narrower question cleanly: can a persistence-sourced entropy field in MRU generate a structured gradient, pull agents into lower-cost regions, and create selection pressure for a heritable trait that makes agentsmore responsive to that gradient? The test therefore aims to distinguish three possibilities: a tuned demonstration in which special agents win by construction, a physically suggestive but weak toy effect, and a disciplined toy-model mechanism that survives ablation-style correction of the original weaknesses. The corrected version deliberately frames its result as a mechanism study—a test for entropic gravity, not a final proof. DISCLAIMER Generative AI was used to assist with literature screening / coding support / draft language revision. All AI-assisted outputs were independently checked by the author, and the author takes full responsibility for the final analysis and text. This is encompassing all the work that has been done and will be done. All code is under MIT licensing. All research papers are under Creative Commons License.
Malin Hess (2026) studied this question.