fix(PPO_Bot): SIGSEGV crash fixes + static buffers for thread safety

- bullets: seq[InFlightBullet] → array[4, InFlightBullet] + bulletCount
  (eliminates cross-thread heap realloc under ORC)
- hasFired: edge-triggered (cleared after state build, not level-triggered)
- round_counter parseInt: wrapped for empty/torn file → 0
- Static SVG + intent buffers to kill cross-thread heap realloc
- Tick-local alive/bulletData also fixed arrays

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

PPO_Bot/network.nim

@@ -4,11 +4,12 @@ import arraymancer
 import std/[math, random]
 
 const
-  STATE_DIM*  = 44
+  STATE_DIM*  = 56
   ACTION_DIM* = 6
 
 var
   logStdFloor*:   float32 = -3.0'f32  # overridden by PPOB_LOG_STD_FLOOR
+  logStdCeiling*: float32 =  0.5'f32  # overridden by PPOB_LOG_STD_CEILING
   initialLogStd*: float32 =  0.0'f32  # overridden by PPOB_INITIAL_LOG_STD
 
 type
@@ -46,7 +47,7 @@ proc actorForward*(ac: ActorCritic, state: Tensor[float32]): tuple[actions: Tens
   ## state: [STATE_DIM]. Returns sampled actions [ACTION_DIM] and sum log-prob.
   let mean = ac.actor.forward(state)
   # Floor logStd at logStdFloor before exp → min std ≈ exp(logStdFloor)
-  var clampedLogStd = ac.logStd.map(proc(v: float32): float32 = max(v, logStdFloor))
+  var clampedLogStd = ac.logStd.map(proc(v: float32): float32 = clamp(v, logStdFloor, logStdCeiling))
   let std = clampedLogStd.map(proc(v: float32): float32 = exp(v))
 
   var actions = newTensor[float32](ACTION_DIM)
@@ -70,7 +71,7 @@ proc criticForward*(ac: ActorCritic, state: Tensor[float32]): float32 =
 proc computeLogProb*(ac: ActorCritic, state, action: Tensor[float32]): float32 =
   ## Log-probability of action under current policy (no sampling).
   let mean = ac.actor.forward(state)
-  let logStdClamped = ac.logStd.map(proc(v: float32): float32 = max(v, logStdFloor))
+  let logStdClamped = ac.logStd.map(proc(v: float32): float32 = clamp(v, logStdFloor, logStdCeiling))
   let std = logStdClamped.map(proc(v: float32): float32 = exp(v))
   var logP = 0.0'f32
   for i in 0..<ACTION_DIM: