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Foundational Core

KAOS

Your spreadsheet is not a manifold. Stop pretending it is.

KAOS — Kinematic Architecture for Optimal Systems — is the shared optimization, simulation, and reconciliation substrate behind every Babadook product that has to reason about trajectories, tradeoffs, and state under real business physics. Not a dashboard. Not a notebook. A six-engine runtime that turns operational state into mathematically defensible decisions.

Six engines, one identity chain, one tenant namespace grammar: deterministic ACID for replayable commits; geodesic optimization over configurable Riemannian business manifolds; tensor algebra for high-dimensional decomposition at warehouse scale; probabilistic reconciliation inside live transaction boundaries; state-space trajectory storage for kinetics that spreadsheets cannot represent; and path-integral processing for forecasting and contingency probability when the future is a distribution, not a single line.

KAOS composes on CRTL — admission, accelerator claims, namespace isolation, lifecycle hooks — and gates every mutating surface through ARGUS. Downstream products consume subsets via machine-readable manifests; XRP runs the full stack, Lugh-E lives on geodesic + tensor, DXP takes reconcile + pathint. You do not bolt KAOS onto a product. You declare what you need and the substrate enforces it.

KAOS is optional and product-scoped — it does not boot inside base CRTL. It does not ingest your sensors, render your UI, or replace your ERP. It will not optimize a problem you have not declared as a state space with a legal metric tensor. Alone, it is six engines waiting for CRTL to host them, ARGUS to authorize mutations, and a consuming product to define what "optimal" means in your domain.

Deterministic ACID Engine

Replay-deterministic serializable transactions with Calvin-style epoch ordering, WAL-backed LSNs, optional PITR, and timeline-x event publishing on commit — stronger than conventional serializable because commit order reproduces from the log alone.

Business Metric Tensor DDL

CREATE KAOS METRIC TENSOR composes cost, time, risk, engagement, and custom component metrics with enforced non-negative weights. Cholesky sampling rejects indefinite geometry before it reaches production queries.

Riemannian Geodesic Compute

Shortest paths on tenant-configured business manifolds via kaos.geodesic.compute — SQL, CLI, REST, gRPC, and MOIRA action kaos.geodesic.compute_path with self-approved query class.

Tri-Modal Solver Dispatch

Automatic selection among A*, Fast Marching Method, and Hamilton-Jacobi-Bellman based on dimensionality, grid discretizability, and optimal-control flags — override logged when suboptimal.

Riemannian A* with Closed-Set Reopening

Gershgorin admissible heuristic avoids O(d³) eigendecomposition per expansion; GA* wave frontier on GPU with mandatory reopening when λ_min varies spatially — optimality proved, not hoped.

Anisotropic FMM / FIM

Jeong-Whitaker fast iterative method on Riemannian eikonal equations with OUM/Mirebeau stencil escalation when anisotropy ratio κ exceeds 4 — refuses degraded accuracy when you have not opted in.

Four-Tier HJB Stack

Semi-Lagrangian through sparse-grid, tensor-train, and deep BSDE/MPPI tiers for optimal control — tier crossover at documented dimension walls, not engineer folklore.

ACID-Consistent Geodesic Cache

BLAKE3-keyed LRU per tenant with metric LSN binding, same-host invalidation broadcast, optional PostgreSQL persistence validated on reload.

Tucker / CP / PARAFAC2 Tensor Algebra

HOOI with randomized-SVD initialization, ALS for CP, distributed MPI decomposition for retail-scale inventory cubes — factor matrix mutations participate in ACID write sets.

Fellegi-Sunter Reconciliation

Prior-art matching inside live ACID boundaries: LSH blocking, Jaro-Winkler and phonetic comparators, clerical review queues, CRDT conflict resolution, and dual-approved snapshot rollback.

State-Space Trajectory Store

Tenant-scoped trajectory insert and query with optional HMM transitions, KD-tree/LSH indexing, DTW/Fréchet similarity, and isolation-forest anomaly ensemble when fullSET integration is enabled.

Path Integral Processor

Trajectory probability estimation via bootstrap particle filters, reconcile-potential coupling, and tensor reduction for high-dimensional forecasting workloads.

CRTL Runtime Integration

Product runtime manifest, seven deployment-class matrices, admission bridge, namespace grammar tenant_<id>__kaos__<engine>, and lifecycle hooks for health, endpoints, activation, cache usage, and accelerator requirements.

ARGUS Authorization Gating

Three-tier approval vocabulary aligned to CRTL Part 10: self-approved queries, dual-approved metric tensor and reconcile mutations, recovery-critical replay and PITR restore.

GPU Accelerator Claims

Per-engine CRTL Part 17 claims with VRAM estimation, compute-share co-scheduling against tensor workloads, and CPU fallback that actually returns identical paths within floating-point tolerance.

MOIRA Action Provider

Thirteen registered kaos.* actions from transaction begin through distributed tensor decompose — MOIRA chains invoke KAOS; KAOS emits timeline-x events back for reactive composition.

Cross-Product Manifest Discipline

Machine-readable KAOS_MANIFEST.toml per consumer with KEEP/MODIFY/DISCARD engine subsets, feature flag requirements, and spec-linter enforcement — no silent capability creep across DXP, XRP, Lugh-E, MUKR, Prometheus, or Hephaestus.

Observability Namespace

kaos.geodesic.*, kaos.acid.*, kaos.tensor.*, kaos.reconcile.*, kaos.statespace.*, kaos.pathint.* metrics, traces, and error flags — solver selection rationale logged on every query.

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