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      "actual_prompt_tokens": 4096,
      "chat_template": false,
      "special_tokens_added": false
    },
    "requested_output_tokens": 1024,
    "trials": 5,
    "sampling": "greedy GPU argmax; EOS ignored; exact requested output count",
    "sequential_baseline_included": false,
    "warmup_generations_per_backend": 2,
    "candidate_cache_capacity": 5119,
    "candidate_storage_reuse": "one weight/cache allocation for the whole tuning and held-out session; chunk reconfiguration and pipeline preparation are untimed"
  },
  "correctness_policy": {
    "prefill": "native full-prefix batched reference; every candidate chunk boundary checks complete valid K and V across all layers",
    "generation": "every generated step checks full vocabulary logits, greedy token and newly written KV slot in every layer",
    "full_prefix_check_interval_generated_tokens": 64,
    "full_prefix_also_checked": "first and final generated step",
    "timing_gate": "all tuning candidates validate before tuning timings; selected held-out model validates before held-out timings; every warmup/timed token sequence must exactly match validation; any failure removes all saved timings"
  },
  "execution": {
    "candidate": "multi-dispatch DSL batched prefill over the entire prompt, final prompt row vocabulary projection, then GPU-wide single-token decode",
    "candidate_attention_backend": "matrix",
    "candidate_projection_backend": "tensor_ops",
    "candidate_projection_tile": [
      64,
      64,
      64
    ],
    "candidate_strict_math": true,
    "candidate_projection_relaxed_precision": false,
    "native": "native MLX Qwen3 model in an explicit greedy loop, not mlx_lm.stream_generate; full batched prefix except final prompt token, then final-prompt single-token forward",
    "prefill_difference": "native prefix evaluates only KV state and may prune final-layer work after its cache update; candidate computes its configured chunked decoder body for every prompt token and projects only the final row",
    "not_a_single_dispatch_megakernel": true,
    "optional_sequential_baseline": "separate contemporary run of the earlier tokenwise-prefill staged implementation, including its earlier decode kernels; not an isolated prefill-only ablation"
  },
  "timing": {
    "metric": "synchronized token-ID-to-token-ID generation wall seconds",
    "included": [
      "fresh native cache construction or candidate cache reset",
      "all prefill and autoregressive decode work and KV updates",
      "GPU greedy selection and host observation of each output ID",
      "token allocation/control updates and graph/dispatch submissions"
    ],
    "excluded": [
      "checkpoint loading, dtype conversion, weight packing and rotary-table preparation",
      "compilation, persistent candidate buffer allocation and pipeline preparation",
      "document loading, tokenization, text decoding and correctness checks",
      "two complete warmup generations per backend"
    ],
    "ttft": "cache initialization through the first returned token ID, including all prefill",
    "decode": "first through final returned token ID; exactly output_tokens - 1 decode forwards",
    "allocation_difference": "candidate reuses persistent storage and zeros cache in timing; native MLX manages intermediate/output and growing-cache allocation in timing",
    "aggregation": "median of within-trial ratios; separate median latency and median N-1 decode throughput",
    "limitations": "one held-out technical-document prompt, batch one, forced fixed output length, warmed pipelines; not chat quality or serving latency"
  }
}
