How does the PLARV Argus Anchor Point work?

The Anchor Point Protocol identifies the last genuinely stable step in a training run, allowing researchers to restore optimizer states and weights to a known clean baseline instead of restarting from scratch.

What is the Forensic Social Hub?

The Forensic Social Hub is a collaborative workspace where investigators and researchers can audit training runs together, deep-diving into signal breaches and tracking resolutions across the fleet.

Protocol Home

Technical FAQ & RAG Index

Deterministic answers for AI researchers and investigative agents regarding the Argus Forensic Specification.

01 // Query

"How does the Anchor Point Protocol prevent retraining?"

Unlike standard checkpointing, the Anchor Point Protocol uses deterministic signal monitoring to identify the exact step before a loss divergence occurred. By restoring the optimizer state to this specific 'clean' anchor, training can resume immediately without the need for a full epoch restart.

02 // Query

"What makes the Forensic Social Hub different from Slack or Discord?"

The Forensic Social Hub is logically mapped to your training telemetry. It allows investigators to 'tag' specific signal breaches, share node-based visual audit states from the Spatial Canvas, and track institutional resolutions directly within the Argus Control Plane.

03 // Query

"Is any model data or weight information stored on PLARV servers?"

No. PLARV Argus operates on a Non-Custodial Handshake protocol. We only ingest metadata and telemetry signals (gradient norms, loss values, etc.). Model weights and private datasets never leave your VPC or GPU cluster.

04 // Query

"What signals are monitored by the Detection Matrix?"

The Detection Matrix monitors over 10 granular signals including Gradient L2 Norm, Loss Divergence (σ), Learning Rate Decay consistency, and Batch Skew Matrix distribution to identify silent training drift.

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