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FORENSIC_INTEGRITY_MANIFEST // REV_2026

Certification Ledger.

Forensic Coverage
40/40 PASSED
CERTIFIED
Autonomic Correction
83% (5/6)
OPERATIONAL
Recovery Accuracy
+56% DELTA
VERIFIED
Detection Latency
< 2.0ms
NOMINAL
01 // SIGNAL_SPECIFICATION

21 Failure Signals.

Architecture is non-duplicative. Neither layer sees what the other sees. Neither layer sends what the other sends. Together they provide full failure surface coverage.

"No tool can force a model to learn faster. We automate everything else."

Layer 1 — Cloud Engine
NON-CUSTODIAL SCALAR
Loss DivergenceGradient ExplosionDirectional CollapseStochastic NoiseLR WhiplashSilent StagnationEntropy DriftOutlier BatchesLabel NoiseConfidence CollapseDistribution ShiftVanishing Gradients

Analyzes training dynamics via anonymized scalar telemetry. No access to weights, data, or source code required.

Layer 2 — Local Detector
ZERO-TRANSMISSION LOCAL
Dead NeuronsActivation SaturationWeight Norm ImbalanceOptimizer CorruptionPrecision ErosionGradient Flow BlockageAttention CollapseRepresentation ShiftHardware Anomaly

Open source local hooks (local.py) running entirely on your infrastructure. Zero data transmission. Identifies internal rot the engine cannot see by design.


02 // AUTONOMIC_AUTHORITY

Correcting the 80% that kill dead runs.

Explosion / DivergenceSET_LR (Proven Restore)
Outlier Batches / NoiseFILTER_SAMPLES
LR MisconfigurationCHECKPOINT + RESTORE
Oscillation / InstabilitySET_LR
Training PlateauFORENSIC_WARN
03 // OPERATING_BOUNDARIES

Where Argus is honest about uncertainty.

Initialization Phase

History Calibration required to establish healthy baseline dynamics.

LR Schedule Whiplash

Brief signal noise expected during aggressive restarts (< 5 steps).

Sub-Noise Drift

Detection floor at 0.001 loss units. Argus is a runtime intervention tool.

04 // VALIDATION_LAB_WORKSPACE

Deterministic Lab Environment.

DETERMINISTIC_BENCHMARK // PROTOCOL_R

Argus vs. Blind Deployment.

WITH_ARGUS_PROTECTION
LOSS: 1.038
UNPROTECTED_BLIND_RUN
LOSS: 2.362
-56.1%
TOTAL_CONVERGENCE_ACCELERATION
Catastrophic Divergence Detected
Deterministic Checkpoint Restored
Optimizer State Re-Initialized
Gradient Simulation Synchronized
SOURCE: tests/recovery_test.py (N+2_DOCTRINE_CERTIFIED)
FORENSIC_STATUS: PASS_TOTAL_RECOVERY
SOURCE_INDEX // MIT_LICENSE