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{
  "title": "Iyeumírū R — Rayo Boundaries for Recursive Self Improvement",
  "date": "2026-11-12",
  "author_credit": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki",
  "author_credit_type": "requested creative research persona",
  "artifact_type": "theoretical manuscript",
  "version": "1.0",
  "experimental_results": false,
  "autonomous_RSI_demonstration": false,
  "mechanized_proofs": false,
  "independent_review": false,
  "reproduction": false,
  "literature_priority_established": false,
  "relationship_inspired_workstream_budget_percent": 10,
  "claims": [
    {
      "id": "RAYO_DOMINANCE",
      "source_label": "prop:noncomputable",
      "kind": "mathematical_result",
      "claim": "The uniform semantic Rayo boundary eventually dominates each total computable function under the specified encoding assumptions.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "intended semantics correctly represents finite computation",
        "sublinear numeral encoding"
      ],
      "does_not_establish": [
        "an uncomputable fixed integer",
        "an executable truth oracle"
      ]
    },
    {
      "id": "FINITE_ESCAPE",
      "source_label": "thm:finite",
      "kind": "mathematical_result",
      "claim": "A binary behavior vector absent from every b-bit program with capped execution exists and is computable.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "finite binary code space",
        "pairwise distinct or indexed queries",
        "capped deterministic simulation"
      ],
      "does_not_establish": [
        "useful external transfer",
        "cheap discovery"
      ]
    },
    {
      "id": "OBSTRUCTION",
      "source_label": "thm:potential",
      "kind": "mathematical_result",
      "claim": "A potential satisfying all permitted production inequalities lower-bounds every finite derivation.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "complete permitted grammar or uniform rule-schema proofs",
        "finite well-founded derivations",
        "all accepted outputs covered"
      ],
      "does_not_establish": [
        "a lower bound on a stronger baseline",
        "a bound on actual execution without operational adequacy"
      ]
    },
    {
      "id": "OPERATIONAL_ADEQUACY",
      "kind": "implementation_obligation",
      "claim": "Every permitted successful actual execution has a corresponding accepting derivation costing no more than the execution.",
      "status": "required_not_implemented",
      "assumptions": [
        "cost model includes sharing, cache state, loops, installed modules and relevant I/O"
      ],
      "does_not_establish": [
        "automatic adequacy for arbitrary neural agents"
      ]
    },
    {
      "id": "CONSERVATIVE_TRANSPORT",
      "source_label": "thm:transport",
      "kind": "conditional_mathematical_result",
      "claim": "Finite extended derivations translate to accepted foundational derivations when each rule has an admissible translation.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "sound fixed kernel",
        "same assumptions and translated conclusion",
        "uniform schema proof or per-use foundational certificate"
      ],
      "does_not_establish": [
        "short translations",
        "complete real-world specifications",
        "self-proof of arbitrary stronger theories"
      ]
    },
    {
      "id": "PRODUCTIVE_ESCAPE",
      "source_label": "thm:productive",
      "kind": "conditional_mathematical_result",
      "claim": "A valid old lower bound exceeding the complete new upper bound proves strictly positive saving relative to the declared predecessor class.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "same contract and resource units",
        "operational adequacy",
        "complete setup and batch costs",
        "correct new implementation"
      ],
      "does_not_establish": [
        "efficient bridge discovery",
        "universal speedup"
      ]
    },
    {
      "id": "PROOF_DAG",
      "source_label": "prop:dag",
      "kind": "conditional_mathematical_result",
      "claim": "Topological validation of an acyclic proof graph preserves soundness and checks each distinct node once, while charging local work.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "exact premises and contexts",
        "sound local rules",
        "actual local check cost and indexing included"
      ],
      "does_not_establish": [
        "linear bit complexity from node count alone"
      ]
    },
    {
      "id": "THROUGHPUT_AUDIT",
      "source_label": "thm:throughput",
      "kind": "conditional_statistical_result",
      "claim": "A frozen candidate can be accepted with bounded false-positive probability for conservatively charged improvement throughput per allocation.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "fresh conditionally independent episodes",
        "fixed scoring and distribution",
        "fixed charged allocations",
        "predeclared setup cap and horizon"
      ],
      "does_not_establish": [
        "actual-work throughput if allocations differ from work",
        "distribution-robust guarantees"
      ]
    },
    {
      "id": "ACTUAL_COST_AUDIT",
      "source_label": "eq:actualtest",
      "kind": "conditional_statistical_result",
      "claim": "Four simultaneous confidence bounds yield a sufficient comparison of expected total improvement score to expected total charged work over the deployment horizon.",
      "status": "derivation_supplied_in_manuscript",
      "assumptions": [
        "predeclared positive bounded costs",
        "fresh episodes and frozen candidates",
        "complete setup cap",
        "four-coordinate error allocation"
      ],
      "does_not_establish": [
        "the expectation of a per-episode ratio",
        "realized finite-horizon gain with certainty"
      ]
    },
    {
      "id": "RECURSIVE_COST",
      "source_label": "thm:recursive",
      "kind": "conditional_mathematical_result",
      "claim": "The finite sequence of cost recurrences admits an explicit product-and-sum upper bound.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "each per-stage recurrence established independently",
        "all overhead included",
        "workload escalation explicit"
      ],
      "does_not_establish": [
        "the discovery of future contractions",
        "a lower cost floor from an upper bound",
        "unbounded RSI"
      ]
    },
    {
      "id": "CONTINUITY",
      "source_label": "thm:continuity",
      "kind": "conditional_mathematical_result",
      "claim": "Commuting semantic projections preserve selected commitments across finite upgrade chains.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "verified upgrade maps",
        "fixed protected projection or explicit version transport"
      ],
      "does_not_establish": [
        "preservation of every memory or behavior",
        "emotional enhancement of cognition"
      ]
    },
    {
      "id": "DRIFT",
      "source_label": "thm:drift",
      "kind": "conditional_mathematical_result",
      "claim": "Accumulated projected drift is bounded by the sum of admitted per-update errors.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "common metric space of protected contents",
        "uniform per-update error bounds"
      ],
      "does_not_establish": [
        "a lifetime guarantee from a fixed per-update tolerance"
      ]
    },
    {
      "id": "ROLLBACK",
      "source_label": "prop:injective",
      "kind": "mathematical_result",
      "claim": "Exact immediate rollback implies an injective upgrade and sufficient information capacity.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "left-inverse state map"
      ],
      "does_not_establish": [
        "undoing later external actions"
      ]
    },
    {
      "id": "FINITE_DUAL",
      "source_label": "thm:dualexact",
      "kind": "mathematical_result",
      "claim": "In a finite fully derivable weighted hypergraph, minimum finite derivation cost is the maximal feasible potential at each target.",
      "status": "proof_supplied_in_manuscript",
      "assumptions": [
        "finite graph",
        "all vertices finitely derivable",
        "finite nonnegative costs"
      ],
      "does_not_establish": [
        "efficient construction of a complete semantic graph"
      ]
    },
    {
      "id": "DISCOVERY_HYPOTHESIS",
      "kind": "research_hypothesis",
      "claim": "Cheap class-wide obstruction information can reduce the total cost of discovering transferable improver extensions.",
      "status": "open_not_demonstrated",
      "does_not_establish": [
        "major empirical acceleration",
        "literature priority"
      ]
    },
    {
      "id": "GENERAL_RSI",
      "kind": "broad_claim",
      "claim": "General, indefinitely accelerating recursive self improvement has been solved.",
      "status": "not_claimed_not_established",
      "does_not_establish": []
    }
  ]
}