Expand Solver Adapter Ecosystem

[fraware]

Title: Implement Additional Neural Network Verification Adapters

Description:
Provability Fabric currently supports Marabou for neural network verification and DryVR for hybrid systems. The project would benefit from additional solver adapters to support a wider range of verification scenarios.

Current Adapters:
Marabou (neural networks)
DryVR (hybrid systems)

Proposed New Adapters:

• NeuralSAT - For satisfiability-based neural network verification
• α-β-CROWN - For complete neural network verification with improved scalability
• Planet - For verification of neural networks with ReLU activations
• Sherlock - For reachability analysis of neural networks

Technical Requirements:

• Implement adapter interface following existing patterns in adapters/ directory
• Include comprehensive test suites with benchmark comparisons
• Provide documentation with usage examples
• Ensure compatibility with existing specification bundle format

Expected Deliverables:

• New adapter implementation in adapters/ directory
• Test suite with verification benchmarks
• Documentation updates
• Integration tests

Skills Needed:

• Neural network verification expertise
• Python/Rust development
• Understanding of formal verification concepts

Difficulty: Intermediate to Advanced