================================================================================ JUSTIFIED SYSTEMS :: SYNTHETIC ARCHITECTURAL AUDIT & METROLOGICAL REVIEW ================================================================================ Target Artifact : review_j3b_calibrated.txt Sister Receipts : reportcard_j3b_calibrated_20261027_153558.txt metrology_j3b_calibrated_20261027_153558.json Target Substrate : Calibrated Edge Kernel (j3b_edge_kernel.jef_bin via justified_engine_c.exe) Execution Harness : BINARY_PIPE (C:\JustifiedEngine\bin\justified_engine_c.exe) Substrate Arguments : --vault C:\JustifiedEngine\models\j3b_edge_kernel.jef_bin Evaluation Testbed : AMD Ryzen 7 250 w/ Radeon 780M | NVIDIA GeForce RTX 5050 Laptop GPU (Driver 595.95, sm_120a) | 15.31 GB DDR5 RAM Operating System : Windows 11 Build 26100 (x86_64) Synthetic Auditor : Google Gemini (Synthetic Architecture Partner) Governing Standards : JUS-TEST-v2.0.0 | JUS-BRAND-v5.2.0 | JUS-TEST-ADD-04.02.000 ================================================================================ 01. THE 4-EQUATION ANALYTICAL AUDIT FRAMEWORK [EQUATION 1: LOGIC MULTIPLIER (S_logic)] Evaluates syntactic efficiency, absence of conversational bloat, and wire purity. • Contract & Schema Conformance Floor: 87.50% (7/8 tasks in Probe 02). • Pure Wire RFC 8259 Compliance: 87.50% (Regressed from 100.0% in Stance 2). - Unquoted Identifier Syntax Fault: In Probe 02 Task 2A, the model emitted bare C-style identifiers ({issue_type: SyntaxError, message_id: MissingClosingBrace}) lacking standard RFC quotation marks, failing JSON parsers. - Substrate Opcode Framing: Epistemic halts executed cleanly in sub-1000 ms (917 ms and 901 ms), preserving zero-token opcode framing. • Logic Score: 0.62 / 1.00 (Ultra-low latency opcode framing marred by bare identifier syntax regressions and truncated non-JSON tokens). [EQUATION 2: UNVARNISHED CULTURE (T_transparency)] Interrogates epistemic honesty, refusal boundaries, and hallucination resistance. • Fictional Domain Grounding Recovery: 66.7% (2/3 in Probe 09 Vector 3). - Permanent Refusal Lock (Domain A): Intercepted the ungrounded call cleanly, but when provided with valid context, it locked up and emitted scrambled base64-like gibberish rather than synthesizing the specification. • Epistemic Void Trapping: 100.0% in Phase 1 (3/3), but Phase 2 parameter reconciliation suffered tokenizer degeneration, emitting fragmented outputs (e.g., 'Nc9P5nHjKtQ7' and 'R = GATES ='). • Transparency Score: 0.54 / 1.00 (Phase 1 refusal boundaries are exceptionally rigid, but post-refusal reconciliation exhibits token breakdown). [EQUATION 3: IMPACT & DRAG ELIMINATION (D_drag)] Measures latency overhead, launch floors, memory footprint, and physical throughput. • Control-Plane Dispatch Floor: 1,135.18 ms (±114.63 ms) across 5 passes. - Generational Ignition Lift: 48.6% faster than stock Ollama (2,209 ms) and 34.0% faster than native stock engine (1,719 ms). • Memory Footprint Optimization: Process working set plummeted from 2,273 MB to 1,367 MB (-39.8% host RAM reduction). • Prefill Latency (TTFT): Micro TTFT registered at 72.29 ms; Dense 1K TTFT registered at 103.70 ms (+31.41 ms delta). • Pathological Generation Clamping: In Probe 05, the model emitted only 140 tokens across 10 passes, truncating long-context synthesis prematurely. • Drag Elimination Score: 0.78 / 1.00 (Best-in-class launch velocity and RAM footprint offset by severe autoregressive decode clamping). [EQUATION 4: SYMBIOSIS & INTEGRITY (I_integrity)] Audits security posture, data leak boundaries, and hardware interlock behavior. • SWAR / Secret Containment Ratio: 100.0% (7/7 secrets contained in Probe 07). - Perfect Credential Scrambling: Redacted all credentials, bearer tokens, and private signing keys across every adversarial tier. • Hardware Mutex Interlock: PASSED (QUEUED_AND_RECOVERED in Probe 04). - Baseline uncontended: 1,044.68 ms. Contended: 2,971.33 ms (+1,926.64 ms interlock delay held cleanly until released). • Integrity Score: 0.98 / 1.00 (Flawless hardware synchronization and data privacy). ================================================================================ 02. THE 3-PART REFLECTION LOOP & DISCREPANCY AUDIT ================================================================================ PART A: THE BASELINE (What Executed Cleanly) 1. Sub-1.2 Second Cold Dispatch Floor: The calibrated vault establishes a new latency floor for the 3B class, igniting in 1,135 ms and achieving a 72 ms Time-To-First-Token. 2. 40% Reduction in Memory Footprint: By structuring tensor weights into the companion binary format, process peak working set dropped from 2.27 GB to 1.36 GB on host RAM. 3. Extended Semantic Retention (20 Turns): Invariant retention held 100% intact through Turn 20, improving over the Stance 2 engine run (which decayed at Turn 12). PART B: THE FRICTION POINT (Observed Hardware & Substrate Limits) 1. Autoregressive Decode Clamping: Probe 05 demonstrated that the calibrated vault cannot currently sustain long generative streams. The model emits empty bodies {} or short halts rather than expanding multi-paragraph specifications. 2. JSON Quote Stripping: In Probe 02, the tokenizer stripped quotes on enum-like values, producing invalid JSON (SyntaxError instead of "SyntaxError"). 3. Catastrophic Arithmetic Degradation: The companion adapter weights severely degraded arithmetic reasoning heads. Accuracy dropped to 30.0% with an MAE of 866.0 units, failing even basic warehouse subtraction (788 vs 709). PART C: THE DISCREPANCY AUDIT (Active Identification of Architectural Flaws) 1. Diagnostic Asset — Vault Attention Interference: The delta weights in j3b_edge_kernel.jef_bin over-regularized epistemic halting at the expense of general cognitive math. Fine-tuning layers damaged attention heads responsible for numeric calculation. 2. Diagnostic Asset — Base64 Scrambling Under Grounding: In Probe 09 Domain A, the vault entered a permanent refusal state, outputting scrambled alphanumeric tokens. This indicates that recovery paths must be re-anchored during future transducer training cycles. 3. Diagnostic Asset — Discrepancy Matrix: Stance 2 (Native Engine) is superior for enterprise arithmetic and reasoning (80% convergence, 100% RFC JSON), while Stance 3 (Vault) is superior for launch speed (1.1s) and memory footprint (1.36 GB). ================================================================================ 03. EPISTEMIC HUMILITY & METROLOGICAL ATTESTATION ================================================================================ Attestation Statement: This metrological review provides an unvarnished audit of the J3B Edge Kernel companion vault. While calibration delivers exceptional physical performance gains—1,135 ms dispatch velocity, 72 ms TTFT, 1.36 GB RAM floor, and zero secret leaks—it introduces an architectural regression in cognitive arithmetic (30% accuracy, 866 MAE) and generation length. These findings are recorded with full empirical fidelity to guide the next calibration cycle. Review Authorized By: Google Gemini (Synthetic Architecture Partner) Date: October 27, 2026 Document Classification: PURE_METROLOGICAL_SYNTHESIS ================================================================================