The Temporal Consistency Sensor (TCS) monitors the evolution of a latent representation
over time. It quantifies "drift" as the relative rate of change and converts it
into a stability score.

Implements the Representation-Level Control Surfaces (RLCS) paradigm for ensuring the reliability of autonomous systems and AI models. It provides three deterministic sensors: Residual Likelihood (ResLik) for population-level anomaly detection, Temporal Consistency Sensor (TCS) for drift and shock detection, and Agreement Sensor for multi-modal redundancy checks. These sensors feed into a standardized control surface that issues 'PROCEED', 'DEFER', or 'ABSTAIN' signals based on strict safety invariants, allowing systems to detect and react to out-of-distribution states, sensor failures, and environmental shifts before they propagate to decision-making layers.

MD. Arshad

resLIK

Representation-Level Control Surfaces for Reliability Sensing

tcs function

<dl><dt>z_t</dt>
<dd>Numeric vector or matrix. The current latent representation.</dd>
<dt>z_prev</dt>
<dd>Numeric vector or matrix. The previous latent representation. Must have the same shape as <code>z_t</code>.</dd>
<dt>eps</dt>
<dd>Numeric. Small constant to avoid division by zero. Defaults to 1e-6.</dd></dl>

Arguments

Temporal Consistency Sensor — tcs

<dl>

<dt>z_t</dt>
<dd>Numeric vector or matrix. The current latent representation.</dd>


<dt>z_prev</dt>
<dd>Numeric vector or matrix. The previous latent representation. Must have the same shape as <code>z_t</code>.</dd>


<dt>eps</dt>
<dd>Numeric. Small constant to avoid division by zero. Defaults to 1e-6.</dd>

</dl>

tcs: Temporal Consistency Sensor

Description

Usage

Value

Arguments

Details

Examples