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fix: Resolve remaining test and documentation issues
- Update verify_capabilities.py to unpack 3-tuple from deliberate(). - Remove unused matplotlib import from test_architecture_stability.py. - Update ROADMAP.md with C++ inference optimization task.
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docs/ROADMAP.md

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@@ -76,6 +76,9 @@ This phase focuses on scaling the model and performing rigorous, comparative ben
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* A baseline Mamba model of the same size (MCTS disabled).
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* A standard Transformer model of a similar size.
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* **[TODO]** Measure and compare latency, throughput, and computational cost for generation.
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* **3. Inference Optimization (C++/Rust):**
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* **[TODO]** Port the MCTS Planner logic to C++ (LibTorch) or Rust to bypass the Python GIL.
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* **[TODO]** Implement true parallel execution where "System 2" does not block "System 1" generation.
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* **Exit Criteria:**
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* A large-scale CRSM model is successfully trained.

tests/test_architecture_stability.py

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import numpy as np
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import sys
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import os
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import matplotlib.pyplot as plt
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# Add project root to path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

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