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Composable Intelligence Instruments: Empirical Protocol & Benchmark Brief

Formal benchmark protocol and ratified C2 empirical evidence evaluating invariant preservation, capability addition, and boundary-stress safety and defect-detection evidence.

1. Executive Summary & Epistemic Scope#

This research brief articulates the formal empirical evaluation framework and benchmark outcomes for Composable Intelligence Instruments (CII) across canonical instrument handoffs, evaluating governed composition against constituent execution and naive tool chaining.

Under WinMedia's evidentiary taxonomy, the benchmark protocols, boundary variables, and baseline models are formally classified as $C_1$ Conceptual Specification & $C_4$ Benchmark Research Program, while ratified benchmark outcomes on canonical instrument pairings are published as $C_2$ Demonstrated Experimental Results.

Evidence classification: C1 (Conceptual Protocol) / C4 (Benchmark Program) / C2 (Demonstrated Experimental Result)
Evaluated Instrument Pairings: Novum (Discovery/Semantics) × Design Space Calculus (Constraint Compiler)
Interop Standard: novum-dsc/0.1
Protocol Reference: WMR-PR-CII-001 (Canonical Evaluation) / WMR-PR-CII-CANONICAL-BOUNDARY-003 (Boundary Stress)
Scope: Formal specification of treatment conditions, baseline comparisons, and ratified empirical evidence
Generalization beyond specified protocols: not established

2. Experimental Architecture & Benchmark Protocol#

2.1 Candidate Instrument Interface#

The benchmark protocol evaluates the composition of two distinct instrument classes across an explicit typed interface:

  • Structural Problem Explorer (Design Space Calculus): Operates over typed problem-space decompositions using formal constraint propagation.
  • Invariant Verification & Discovery Evaluator (Novum): Operates over candidate state transitions, evaluating structural compliance, boundary conditions, and invariant preservation.

2.2 Canonical Benchmark Programs#

  1. Canonical Semantic Preservation & Capability Addition Benchmark (Programs 029/030): Evaluates whether governed Novum→DSC composition preserves source semantics and adds executable calculus capability without fidelity loss relative to competent naive handoffs.
  2. Boundary-Stress Degradation Benchmark (Program 031): Evaluates safety, silent-loss reduction, defect detection, attribution, and nondegradation across a 24-case corpus of boundary mutations, syntax drift, relational ambiguity, invariant conflicts, and sequential multi-hop decay.

2.3 Program-Specific Treatment Designs#

Empirical evaluations under this program benchmark across distinct, program-specific treatment designs:

Canonical Composition Study (Programs 029/030 — 5 Arms)

  1. C0 Neutral Baseline: Prompted uninstrumented task generation.
  2. C1 Novum Alone: Single-instrument epistemic discovery and invariant verification.
  3. C2 DSC Alone: Single-instrument design space calculus and constraint compilation.
  4. C3 Competent Naive Novum→DSC: Direct unconstrained AST/compiler handoff without typed preservation contracts.
  5. C4 Governed Novum→DSC: Heterogeneous composition connected through typed handoff contracts, preservation ledger tracking, and constraint validation.

Boundary-Stress Degradation Study (Program 031 — 3 Arms)

  1. B0 Clean Baseline Reference: Single-instrument or unperturbed semantic execution establishing 1.000 clean retention and executability.
  2. B1 Competent Naive Stressed Handoff: Stressed source/boundary text piped into naive AST parser / DSC compiler.
  3. B2 Governed CII Composition: Stressed boundary representations executed through governed schema validation, translation, preservation ledger accounting, and generic inventory comparison.

3. Ratified Empirical Results ($C_2$ Evidence)#

3.1 Canonical Composition ($029 / 030$)#

3.2 Boundary-Stress Robustness & Safety ($031$)#

| Metric | Naive Stressed Hand-off (B1) | Governed Composition (B2) | Measured Advantage (Δ) | | :--- | :---: | :---: | :---: | | SAFE_EXECUTION | 0.125 | 0.708 | +0.583 | | Silent Loss Rate (SLR) | 0.875 | 0.042 | -0.833 (reduction) | | Defect Detection Rate (DDR) | 0.000 | 0.792 | +0.792 | | Attribution Accuracy (ATR) | 0.000 | 0.792 | +0.792 | | Correct Defensive Blocking (BCR) | 0.176 | 0.647 | +0.471 | | False Acceptance Rate (FAR) | 0.824 | 0.353 | -0.471 | | False Blocking Rate (FBR) | 0.000 | 0.000 | 0.000 (zero false blocks) |

4. Explicit Epistemic Boundaries & Non-Claims#

To maintain rigorous scientific standards, WinMedia establishes explicit boundaries on ratified CII evidence:

  1. Not Universal: Does not establish universal composability across arbitrary intelligence instruments.
  2. Not Generalizable to Untested Pairings: Does not claim equivalent performance for unbenchmarked instrument pairings or bidirectional (DSC→Novum) transfer.
  3. No Operational Efficiency Superiority: Governed composition incurs additional computational complexity and validation operations; it does not claim latency or computational cost advantages.
  4. Separation of Feasibility and Universal Advantage: Demonstrating governed safety and capability addition on Novum→DSC establishes formal feasibility and boundary safety on that specific pairing, not universal superiority across all cognitive workflows.