Whitepaper · TR-2025-08
Adaptive Cognition Layer Architecture
Mechanism-first whitepaper describing the ACL pipeline, routing heuristics, and evaluation harness used across all Thynaptic systems.
Dataset
Routing benchmark of 500 prompts plus Cognitive MMLU scenarios; instrumentation traces across 1,000 ACL requests.
Methodology
Each pipeline stage measured with telemetry, capturing latency, correctness, and routing confidence. Evaluation harness pairs synthetic workloads with production traces to validate generalization.
Abstract
The Adaptive Cognition Layer orchestrates ten sequential components that transform perception into accountable responses. This whitepaper details architectural choices, routing heuristics, safety interlocks, and continuous evaluation that enable local-first cognition to maintain trust under institutional constraints.
Mechanism Overview
Intent classification, contextual priority scoring, and hybrid routing operate as distinct services. The paper provides sequence diagrams and state machines for each stage.
Evaluation Harness
The ACL is verified through a harness that replays production traces, injects adversarial prompts, and measures safety triggers. Each benchmark includes dataset provenance and reviewer sign-off workflow.
- Adversarial replay suites
- Confidence drift monitors
- Automatic regression gates
Operational Guidance
Provides instructions for change management, safe rollout, and telemetry thresholds institutions should monitor when operating ACL in sovereign environments.
Systems referenced
Programs referenced
How to cite
Thynaptic Research. "Adaptive Cognition Layer Architecture (TR-2025-08)." Thynaptic Technical Report Series, October 2025.