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