VRAVEN is not one explainer. It is a connected observatory for capturing evidence, explaining decisions, testing mechanisms and comparing model behaviour.
Quick routeOne prediction → Proof. An executable approximation → Reverse. Many samples → Atlas. Many checkpoints → Watch. Two models → Compare. Failure and risk investigation → DarkSide.
01 · Acquire
Capture
observational
Instrument a real PyTorch forward pass and preserve the internal state needed by later analyses.
Activations, gradients, attention and layer metadata
Mechanism IR and reproducible capture summaries
Trace identity for connecting every result to its source execution
02 · Explain
Proof
single prediction
Explain one decision with linked visual evidence rather than an isolated saliency map.
Attribution, relevance, causal pathways and reasoning graphs
Counterfactual deltas, perturbation stability and mechanism concordance
A combined HTML explanation report or one selected export at a time