123 Offline + 2 Live Tests · CI Passing
ClaimLab
Source-grounded teaching workstation coupling Meta's muse-spark-1.3 model with a transactional SVG whiteboard, three float64 NumPy labs, and sandboxed paper experiments.
- LLM Orchestration: Epistemic tags (
[Source],[Experiment],[Background]) and revisionedBoardPatchwhiteboard state machine. - Verified Numerical Workflows: Softmax sensitivity, attention dimension scaling, and causal masking checked within
1e-10scalar tolerance. - Adaptive Learning & Security: 2-variant mastery progression, HMAC-SHA256 tenant isolation, CSRF protection, and idempotency keys.