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March 25, 20260 citationsOpen Access

From Telemetry Quotients to Certified Reconstruction: A Formal Architecture for Bridge-Limited Hidden Inference

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NNNorbert Ferenc Nagy

Key Points

  • The aim is to develop a formal architecture for bridge-limited hidden inference and certified reconstruction under uncertainty.
  • Developed a layered architecture beginning from telemetry quotients.
  • Introduced frameworks for exact and partial recoverability and threshold-aware decoding.
  • Explored defensive exposure duality and governance layers.
  • Extended frameworks into a normative theorem layer and compliance structures.
  • Established a unified framework that provides structured approaches for hidden inference.
  • Introduced safety-aware reconstruction protocols that enhance observability.
  • Outlined various methodological contributions for theoretical and architectural advancements.

Abstract

This preprint presents a formal monograph on bridge-limited hidden inference. The work develops a layered architecture beginning from coarse telemetry quotients, extending to response-signature geometry, and continuing through bridge-limited lifting toward hidden-target claims under explicit validity constraints. The manuscript introduces a unified framework for exact and partial recoverability, task-target sufficiency, metric and family reserve, threshold-aware decoding, excursion-sensitive audit, local and global bridge validity, safe bridge architectures, defensive exposure duality, governance and audit layers, hard-lock safety architecture, and certified reconstruction protocols. The work is intended as a theoretical and architectural contribution. It aims to provide a formal language for disciplined inference under uncertainty, controlled observability, constrained hidden-target lifting, and safety-aware reconstruction. The final chapters also extend the framework into a normative theorem layer, an axiomatic summary, a deployment protocol, and a compliance/ethical superstructure.

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Cite This Study

Norbert Ferenc Nagy (2026) studied this question.

synapsesocial.com/papers/69c37be2b34aaaeb1a67ec92https://doi.org/10.5281/zenodo.19175238
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