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Claim ledger
Proved in the manuscript, within explicit mathematical assumptions
- The all-future operational quotient is the coarsest action-compatible quotient preserving the declared observations. This is established behavioral-equivalence mathematics, not claimed as a new foundational theorem.
- The finite linear quotient is generated by the action closure of the query row space.
- Current-query recoverability does not imply mixed-composition recoverability.
- The additional ancestral tether has minimal length equal to the difference between parent closure rank and the rank of the combined child views, in field symbols.
- Future-query recovery is exact iff the surviving memory nullspace lies in the operational quotient nullspace.
- Minimum additional unrestricted scalar acquisitions equal the relevant rank gap.
- Recursive lossless reconstruction composes by induction when every internal co-basis tether and required child information survives.
- Quotient erasure recovery needs at least r+e field symbols for r unconstrained quotient coordinates and e arbitrary erasures; a classical polynomial code attains it.
- Individually valued branch selection can miss unbounded mixed-operation synergy.
- Arbitrary future linear operations rule out universal lossless state compression.
Proofs are human-readable and internally checked. They are not Lean/Coq-certified and have not been independently peer reviewed. Many are standard facts or direct new applications of those facts, rather than novel mathematics.
Executed
77 automated tests; five seeded experiment runs; exact learned-family composition; recursive fracture/reunification; identifiable recall; erasure and bounded-radius small-code checks; frozen execution; chart gauge checks; counterexample-based hole certificates; an intentionally non-submodular scheduler example.
Not established
A trained self-improving transformer; general intelligence multiplication; superiority over optimized equal-resource baselines; autonomous discovery of the algebraic family; unrestricted world-model reconstruction; novel causal discovery from observation alone; the novelty of the full architecture as a distinct RSI class.
Explicit baseline results
Conventional pooled group identification matches 10,000/10,000 outputs in the learned pipeline. A conventional observable-quotient compiler matches the frozen tests. An optimized classical worklist can match the proposed closure's row-product count. Classical polynomial erasure coding matches the coded-memory tests. The scheduler example uses equal live-operator budgets, not equal total selection compute. The conventional exhaustive pair baseline obtains the same best bundle.