AWhat changed
A neural interpolator proposes simplifying symmetries/separability for recursive symbolic recovery, combined with existing units/fitting/search tools; reported known-equation benchmark recovery is scoped and revisable.
Scientific scope
A neural interpolator proposes simplifying symmetries/separability for recursive symbolic recovery, combined with existing units/fitting/search tools; reported known-equation benchmark recovery is scoped and revisable. Original 2019 preprint and AI Feynman 2.0 are separate versions/works. Physics-generated known algebraic functions,1-9 variables; derivatives/integrals excluded. Samples generally uniform 1-5 with adjusted physical domains; units optionally supplied. First 100 equations were used to tune implementation/hyperparameters;20 bonus equations held out until finalization. Reported 100/100 and 18/20 are author results, not WRS replay. Eureqa baseline is 71% in abstract/results but 68% in conclusion: unresolved discrepancy, no single verified baseline asserted. Table timings omit earlier alphabet-search hours in four cases; budgets are not a uniform total-runtime comparison. Neural symmetry/separability tests use empirical error thresholds, not global identity proofs. Scoring uses simplification against known formulas; domains/branches still matter. Noise tested in dependent outputs, with threshold changes; independent-variable noise/real measurements remain future work. Mc Dermott subset report 66.7%vs 48.9% is separate. Two bonus failures and feature/grammar dependencies retained. No unknown-law discovery, polynomial-time solver or model/provider correctness guarantee. April 15 manuscript vs April 17 publisher print date retained.
Evidence
Source-linked, scoped account of the original work. The published scope states the scientific assumptions and remaining verification limits. WRS has not independently certified the full proof, experimental result or system benchmark.
Contributors
- Silviu-Marian Udrescu · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Max Tegmark · SCIENCE: Original source-listed scientific author of this scoped work; byline does not determine effort fractions.
- Udrescu and Tegmark, AI Feynman; exact ar Xiv 1905.11481 v 2 author manuscript
- Publisher-deposited identity of the exact 2020 AI Feynman paper
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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