Machine-Native ReasoningReading edition

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The wording and mathematics follow the retained manuscript. This reading format does not add a proof review or extend Lean coverage.

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Reading sources and review boundaries

GA

Komorebi P. Grounded Abstraction: Identifiability, Representation Change, and the Limits of Learning. Version 1.0.0, 9 October 2026. Exact source archive identified in core 0.1, whose source-suite replay receipts are retained historically.

MU

Komorebi P. Machine Understanding: Representation, Explanation, and Transfer. Version 1.0.0, 8 October 2026. Exact source archive identified in core 0.1, whose source-suite replay receipts are retained historically.

SII

Komorebi P. Self-Improving Intelligence: Representation, Discovery, and Recursive Revision. Version 1.0.0, 8 October 2026. Exact source archive identified in core 0.1, whose source-suite replay receipts are retained historically.

MS

Komorebi P. Machine Societies: A Theory of Persistent Plural Computational Organization. Version 1.0.0, 8 October 2026. Exact source archive identified in core 0.1, whose source-suite replay receipts are retained historically.

SR

Komorebi P. Sufficient Resolution. Standardized traditional paper, 8 October 2026. Selected split, hidden-return, and factorization arguments reviewed from the source text and reproved here. Their selected formal counterparts are identified in the companion.

SRWT

Komorebi P. Stratified Relational Workspace Theory. Collected source manuscript as identified in the original compendium catalogue. Only the elementary reconstruction relationship used here is admitted. Full dynamics, emergence, persistence, and identity claims are not re-audited by this selection.

LSM

Large Signal Model Foundations, edition 0.4.0. Selected packet-positivity, joint finite closure, and whole-law/conditioning arguments: Propositions 9, 12, 30, 43 and 44. Exact source PDF and selected-page hashes are in the admission record. This book does not import the full observable-learning, cone-discovery, or software claims.

PRIQ

Hypergraph Lumpability and Bayesian Refinement, version 0.1.4. Selected positive normalization and finite filtering composition: Theorems 5.2, 5.5–5.6, 6.1 and 6.3, plus the posterior-error context in Section 9. The nonlinear analytic and hyperedge results are outside this admission.

AVOC

AVOC: Artifact Value, Guarded Operations, and Calibrated Planning. Traditional publication edition based on formal v0.41.0. Selected conditioning, projected stochastic value, and finite planning proof mechanisms: Theorems 3.6, 4.5 and 9.2. Their use here is a selected finite specialization. The formal companion identifies the corresponding core results; it does not claim a theorem-level refinement of the complete host implementation.

KLC

Classical partially observed planning. Leslie Pack Kaelbling, Michael L. Littman and Anthony R. Cassandra. Planning and acting in partially observable stochastic domains. Artificial Intelligence 101 (1998), 99–134. Author-hosted manuscript and publisher record checked for the belief-state and finite-policy context. This reference locates the established planning framework, not a novelty claim for the recursions here.

These sources identify the project's provenance. They are not a comprehensive literature review or a priority claim for factorization, automata quotients, sufficient statistics, dynamic programming, program synthesis, graph induction, or controlled invariant sets. Those mathematical traditions precede this exposition. The present book makes its selected arguments self-contained rather than relying on unstated external theorems.

What was newly checked

Every numbered theorem, proposition, and corollary in this core received a statement-level review of its domains, quantifiers, proof, and subsequent use. The separate selected-core program checks explicit finite instances and negative controls through alternative elementary calculations where practical. The original selected-core checks, additional admission groups, and four source-suite regressions retain their original provenance. A receipt is a fresh run only where the release evidence explicitly records it as such.

No source-wide proof review follows from those regressions. No test count is a new mathematical theorem. The formal companion supplies kernel-checked counterparts for the selected statements at the scope stated in the formal correspondence chapter. Rebuilding this document establishes reproducibility of its text and layout. Neither a document rebuild nor a same-kernel proof replay establishes independent peer review or universal absence of error.

Source and conversion record

Source SHA-256: c2ef44767a242021cc573bbba7bb0c95df74a704c99cf992d2eff0a396838593

Unsupported prose commands stop the build. The mathematical expression sequence is checked against the source, with manuscript macros expanded for display.

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