Document JAX PPO ladder results

docs/research/deep-cfr-v0-gap-vs-coolrl.md

@@ -14,7 +14,7 @@ The core algorithmic components have been ported to Cython to ensure C-level per
 - `src/coolrl_lost_cities/games/classic/game.pyx:217`: `cdef class GameState` provides high-speed state mutation, legal action generation, and scoring.
 - `src/coolrl_lost_cities/games/classic/deep_cfr/traversal.pyx:228`: `cpdef traverse` serves as the entry point for the recursive Deep CFR traversal engine.
 - `src/coolrl_lost_cities/games/classic/deep_cfr/traversal.pyx:253`: `cdef _traverse` implements the core recursive tree-walking logic, including traverser/opponent node handling and outcome sampling.
-- `src/coolrl_lost_cities/games/classic/deep_cfr/encoding.pyx:425`: `def encode_info_state` generates the information-state feature vectors required for network inference.
+- `src/coolrl_lost_cities/games/classic/deep_cfr/encoding.pyx:406`: `def encode_info_state` generates the information-state feature vectors required for network inference.
 - `src/coolrl_lost_cities/games/classic/deep_cfr/cfr_math.pyx`: Contains optimized regret-matching and advantage calculation primitives.
 
 ## Analysis
@@ -39,4 +39,4 @@ Until this transition is made, optimization efforts should focus on reducing the
 
 - `docs/archive/deep-cfr-v0-gap-vs-coolrl.md`: Original status and gap analysis.
 - `docs/research/deep-cfr-v0-feature-parity.md`: Detailed subsystem coverage report.
-- `docs/research/batched-traversal-inference-decision.md`: Architectural decision record for the next-generation inference server.
+- `docs/research/batched-traversal-inference-decision.md`: Architectural decision record for the next-generation inference server.