#1 VML wiring: Wire F32x16/F64x8 SIMD types into scalar VML loops
  - vsln: 16-wide via simd_ln_f32
  - vdsqrt: 8-wide via F64x8::sqrt()
  - vdabs: 8-wide via F64x8::abs()
  - vssin/vscos: batch load/store via F32x16 (scalar per-lane, SIMD framework)
  - vspow: 16-wide via exp(b*ln(a)) using simd_exp_f32 + simd_ln_f32
  - 7 new tests covering SIMD paths

#5 columnar_view: Zero-copy Arrow interop
  - SoakingBuffer::as_columnar_slice() / as_columnar_slice_mut()
  - PlaneBuffer::as_binary_slice()
  - 3 new tests for zero-copy view correctness

#6 simd_apply: Generic fused SIMD kernel
  - simd_apply(a, b, out, Fn(F32x16, F32x16) -> F32x16)
  - simd_apply_unary(x, out, Fn(F32x16) -> F32x16)
  - simd_apply_inplace(a, b, Fn(F32x16, F32x16) -> F32x16)
  - Proper tail handling via zero-padded SIMD
  - 6 new tests (add, FMA, sqrt, inplace, empty, tail-only)

#10 prefetch: Explicit _mm_prefetch in cascade_query
  - prefetch_t0/t1 wrappers (x86_64 SSE, no-op elsewhere)
  - Stroke 1: prefetch PREFETCH_DISTANCE=4 candidates ahead (L1)
  - Stroke 2: prefetch next survivor's data (L2)
  - Stroke 3: prefetch next survivor's data (L1)

All 51 targeted tests pass. Scorecard: 4/10 → 6/10 done.

https://claude.ai/code/session_01CdqyUTUfjKZuk8YGJzv6LB

feat(hpc): SIMD wishlist items #1, #5, #6, #10

Tactics 1-12 from the 34-tactic integration plan, adapted to ndarray:
  styles::rte  — #1  Recursive Thought Expansion (Hofstadter)
  styles::htd  — #2  Hierarchical Thought Decomposition (CLAM)
  styles::smad — #3  Structured Multi-Agent Debate (NARS revision)
  styles::tcp  — #5  Thought Chain Pruning (Berry-Esseen)
  styles::irs  — #9  Iterative Roleplay Synthesis (XOR binding)
  styles::mcp  — #10 Meta-Cognition (Brier score calibration)
  styles::tca  — #12 Temporal Context (Reichenbach tense)

Plus additions to existing modules:
  causal_diff.rs — #4  reverse_trace() (Pearl Rung 3)
  bgz17_bridge.rs — #6  inject_noise() (simulated annealing)
  nars.rs — #7  adversarial_critique(), #11 detect_contradiction()
  cascade.rs — #8  adaptive_resolution()

Every tactic is fn(Base17, NarsTruth) → result. No LLM prompting.
16 tests passing. API: crate::hpc::styles::rte::expand() etc.

https://claude.ai/code/session_01M3at4EuHVvQ8S95mSnKgtK