123 Offline + 2 Live Tests · CI Passing
ClaimLab
Replaces conversational AI guesswork with verified scientific computing—coupling Meta's muse-spark-1.3 model with a transactional SVG whiteboard, three float64 NumPy labs, and sandboxed paper experiments.
- LLM Orchestration: Epistemic tagging (
[Source],[Experiment],[Background]) and atomicBoardPatchwhiteboard state machine. - Verified Numerical Workflows: Softmax sensitivity, attention dimension scaling, and causal masking validated within
1e-10scalar reference tolerance. - Adaptive Learning & Security: 2-variant mastery progression, HMAC-SHA256 tenant isolation, CSRF protection, and idempotency fingerprinting.