Distributed · SSRN

LiO v0.1: Deterministic Permission Composition Across Indispensable Inferential Bridges

Micheal Charles Preble · Independent Researcher · September 6, 2026

LiO v0.1 · SSRN 7424499 · Distributed on SSRN

Abstract

This paper introduces LiO v0.1, a minimal computational primitive for constraining downstream assertions in multi-stage derivations. For a declared derivation and a supplied nonempty set of indispensable inferential bridges, LiO composes upstream-adjudicated permission sets by intersection while preserving unresolved bridge state.

At the target level, an assertion class is unauthorized if any resolved indispensable bridge excludes it, authorized if every indispensable bridge is resolved and permits it, and unresolved otherwise. A separate model reimplementation reproduced the seven public cases and matched creator-frozen held-out results on all twelve tested cases for the two implemented target fields.

The result supports cross-implementation reproducibility of the tested composition behavior. It does not establish full output-contract conformance, domain-specific validity, universal correctness, independent human validation, or novelty of the underlying set-theoretic operation. Representation and upstream adjudication remain separate, unresolved research problems.

Suggested citation
Preble, Micheal Charles. “LiO v0.1: Deterministic Permission Composition Across Indispensable Inferential Bridges.” Available at SSRN 7424499, 2026. CC BY 4.0.

The Problem

A multi-stage derivation needs a way to determine which downstream assertions remain authorized once every indispensable inferential bridge in the derivation has been considered.

What This Work Contributes

Introduces LiO v0.1, a minimal computational primitive that composes upstream-adjudicated permission sets by intersection while preserving unresolved bridge state, for a declared derivation and a supplied nonempty set of indispensable inferential bridges.

How the Argument Works

A separate model reimplementation reproduced the seven public cases and matched creator-frozen held-out results on all twelve tested cases for the two implemented target fields.

Evidence Status

Evidence status: Working paper with cross-model implementation tests.

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What This Does Not Claim

  • Does not establish full output-contract conformance.
  • Does not establish domain-specific validity or universal correctness.
  • Does not establish independent human validation.
  • Does not claim novelty of the underlying set-theoretic operation.

Limitations & Open Questions

Representation and upstream adjudication remain separate, unresolved research problems.

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