Agent objective
- Interact with the supplied stateful environment.
- Produce verifier-checkable actions or artifacts.
- Maximise scalar reward under the package contract.
Five mathematical system-identification environments with an extreme information bottleneck: two priced measurements must resolve a calibrated posterior over 1,024 hidden systems. From renormalization and p-adic dynamics to noncommutative geometry, spin glasses, and information geometry, obvious low-order invariants are identical and sealed transfer matters as much as identification.
Five mathematical system-identification environments with an extreme information bottleneck: two priced measurements must resolve a calibrated posterior over 1,024 hidden systems. From renormalization and p-adic dynamics to noncommutative geometry, spin glasses, and information geometry, obvious low-order invariants are identical and sealed transfer matters as much as identification.
Enough detail to understand the intellectual terrain; generated instances, hidden mechanisms, and solution paths remain inside the private package.
| Environment | Mathematical or technical frontier | Adaptive research problem |
|---|---|---|
| RenormalizationCartographer | Wilsonian flows and operator mixing | Distinguish universality structure beyond a shared fixed point, Jacobian, and critical spectrum. |
| PAdicTelescope | p-adic dynamics and Hensel lifting | Probe precision, residue, iterate, and character choices to recover behavior aliased at low precision. |
| SpectralTripleProbe | Finite noncommutative geometry | Recover an ordered representation frame although Dirac spectra, heat traces, and spectral actions agree. |
| SpinGlassGauge | TAP and spin-glass gauge geometry | Move beyond zero-field linearization using fields, cavity effects, response statistics, and stability directions. |
| AmariHolonomy | Higher-order information geometry | Use higher divergences, curvature, and holonomy beyond identical Fisher and third-order local tensors. |
Across 240 expert control episodes, even the strongest myopic exact-Bayes policy passed 0/60 despite 0.7465 mean reward, 0.9020 experiment design, and 0.9041 held-out prediction. Five oracle-selected fixtures pass, establishing reachability while preserving the extreme two-measurement bottleneck. The package passed 51/51 tests and a 20-case, 1,024-candidate generation audit.
We publish aggregate behavior and task structure, while withholding generated instances, hidden labels, exact successful probes, private checks, and solution trajectories.
Shown with its provenance and limitations; it is not a performance guarantee.
Reported result from the evaluation artifact supplied with this package.
As identified by the supplied artifact.
12 reported runs.
ulam_score_summary.json
Machine-readable provenance and the exact displayed metric are available in results.json.
The paid ZIP will live in a private R2 bucket. Vercel authorizes the buyer and issues a 2–5 minute object URL; R2 serves the bytes directly.
Authenticated buyer + entitlement check
+ private R2 object + 2–5 minute signed URL
= direct, auditable download
Package SHA-256
cab9c4af16f0959d34ca4ec8746d9fd201a7a75bf5a743a850f6499e526cd824One purchase licenses this identified item to one legal organisation for worldwide, perpetual commercial model training, evaluation, research and development. Redistribution and resale of the package are not permitted.