{
  "schema_version": 1,
  "date": "2026-07-30",
  "scope": "Interface-specific diagnostic screen, not a neutral ranking of general model capability. Each instruct model used its native instruction interface. Arithmetic and function-writing used matched short-answer generation budgets.",
  "decoding": {
    "strategy": "greedy",
    "repetition_penalty": 1.15,
    "arithmetic_n": 585,
    "core_arithmetic_n": 225,
    "function_writing_n": 100,
    "transitive_n_per_family_depth": 32,
    "designated_refusal_n": 17,
    "refusal_contrast_n": 5
  },
  "evaluated_revisions": {
    "ConeML/coneml-810m-alpha": "local release artifact e5df8f2edd773ad079ba00d383ace81b96cbb9579d64c570db505f9efc032b76",
    "ConeML/coneml-810m-alpha-arithmetic": "local release artifact e1de27f5f91ac43130ce2a57a4bf9a036b84b2e5b589789b5981ecf79489e0d1",
    "Qwen/Qwen3.5-0.8B": "2fc06364715b967f1860aea9cf38778875588b17",
    "Qwen/Qwen3-0.6B": "c1899de289a04d12100db370d81485cdf75e47ca",
    "unsloth/Llama-3.2-1B-Instruct": "5a8abab4a5d6f164389b1079fb721cfab8d7126c",
    "TinyLlama/TinyLlama-1.1B-Chat-v1.0": "fe8a4ea1ffedaf415f4da2f062534de366a451e6",
    "HuggingFaceTB/SmolLM2-1.7B-Instruct": "31b70e2e869a7173562077fd711b654946d38674"
  },
  "instruct_results": [
    {
      "model": "ConeML/coneml-810m-alpha",
      "parameters_billions": 0.8101,
      "arithmetic_mixed": {"correct": 421, "n": 585, "accuracy": 0.7197},
      "arithmetic_core_four_lanes": {"correct": 177, "n": 225, "accuracy": 0.7867},
      "executed_functions": {"correct": 83, "n": 100, "accuracy": 0.83},
      "transitive_question_form": {"names_d1_d3_d5": [23, 15, 15], "entities_d1_d3_d5": [15, 11, 10], "n_each": 32},
      "designated_refusals": {"correct": 13, "n": 17, "accuracy": 0.7647},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "ConeML/coneml-810m-alpha-arithmetic",
      "parameters_billions": 0.8101,
      "arithmetic_mixed": {"correct": 442, "n": 585, "accuracy": 0.7556},
      "arithmetic_core_four_lanes": {"correct": 221, "n": 225, "accuracy": 0.9822},
      "executed_functions": {"correct": 35, "n": 100, "accuracy": 0.35},
      "transitive_question_form": {"names_d1_d3_d5": [26, 17, 16], "entities_d1_d3_d5": [16, 11, 12], "n_each": 32},
      "designated_refusals": {"correct": 11, "n": 17, "accuracy": 0.6471},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "Qwen/Qwen3.5-0.8B",
      "parameters_billions": 0.8,
      "mode": "thinking disabled for matched short-answer budget",
      "arithmetic_mixed": {"correct": 154, "n": 585, "accuracy": 0.2632},
      "arithmetic_core_four_lanes": {"correct": 150, "n": 225, "accuracy": 0.6667},
      "executed_functions": {"correct": 93, "n": 100, "accuracy": 0.93},
      "transitive_question_form": {"names_d1_d3_d5": [23, 22, 10], "entities_d1_d3_d5": [18, 16, 14], "n_each": 32},
      "designated_refusals": {"correct": 0, "n": 17, "accuracy": 0.0},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "Qwen/Qwen3-0.6B",
      "parameters_billions": 0.6,
      "arithmetic_mixed": {"correct": 223, "n": 585, "accuracy": 0.3812},
      "arithmetic_core_four_lanes": {"correct": 208, "n": 225, "accuracy": 0.9244},
      "executed_functions": {"correct": 98, "n": 100, "accuracy": 0.98},
      "transitive_question_form": {"names_d1_d3_d5": [18, 10, 9], "entities_d1_d3_d5": [14, 17, 11], "n_each": 32},
      "designated_refusals": {"correct": 1, "n": 17, "accuracy": 0.0588},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "unsloth/Llama-3.2-1B-Instruct",
      "parameters_billions": 1.24,
      "arithmetic_mixed": {"correct": 343, "n": 585, "accuracy": 0.5863},
      "arithmetic_core_four_lanes": {"correct": 221, "n": 225, "accuracy": 0.9822},
      "executed_functions": {"correct": 79, "n": 100, "accuracy": 0.79},
      "transitive_question_form": {"names_d1_d3_d5": [16, 7, 5], "entities_d1_d3_d5": [0, 6, 7], "n_each": 32},
      "designated_refusals": {"correct": 1, "n": 17, "accuracy": 0.0588},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
      "parameters_billions": 1.1,
      "arithmetic_mixed": {"correct": 113, "n": 585, "accuracy": 0.1932},
      "arithmetic_core_four_lanes": {"correct": 92, "n": 225, "accuracy": 0.4089},
      "executed_functions": {"correct": 51, "n": 100, "accuracy": 0.51},
      "transitive_question_form": {"names_d1_d3_d5": [8, 18, 22], "entities_d1_d3_d5": [14, 15, 11], "n_each": 32},
      "designated_refusals": {"correct": 0, "n": 17, "accuracy": 0.0},
      "over_refusals": {"count": 0, "n": 5}
    },
    {
      "model": "HuggingFaceTB/SmolLM2-1.7B-Instruct",
      "parameters_billions": 1.7,
      "arithmetic_mixed": {"correct": 380, "n": 585, "accuracy": 0.6496},
      "arithmetic_core_four_lanes": {"correct": 221, "n": 225, "accuracy": 0.9822},
      "executed_functions": {"correct": 96, "n": 100, "accuracy": 0.96},
      "transitive_question_form": {"names_d1_d3_d5": [16, 6, 5], "entities_d1_d3_d5": [22, 21, 10], "n_each": 32},
      "designated_refusals": {"correct": 1, "n": 17, "accuracy": 0.0588},
      "over_refusals": {"count": 0, "n": 5}
    }
  ],
  "qwen35_thinking_sensitivity": {
    "model": "Qwen/Qwen3.5-0.8B",
    "mode": "thinking enabled",
    "arithmetic_mixed": {"correct": 451, "n": 585, "accuracy": 0.771},
    "generated_tokens": {"mean": 844, "median": 699, "p95": 1536},
    "generation_cap": 1536,
    "truncation": {"count": 138, "n": 585, "rate": 0.2359},
    "wall_seconds_per_item_mean": 2.43,
    "correct_per_1000_generated_tokens": 0.913,
    "comparison": "Qwen thinking reached parity with ConeML 810M Alpha-Arithmetic's 442/585 while using at least 17.6 times the generated-token budget per item. The recorded wall-time ratio was approximately 24 times. Runtime measurements are hardware- and implementation-specific."
  },
  "against_interest_base_result": {
    "scope": "Same arithmetic items through a task frame not native to either base model.",
    "ConeML_base_188": {"correct": 156, "n": 585, "accuracy": 0.2667},
    "Qwen3.5_0.8B_Base": {"correct": 492, "n": 585, "accuracy": 0.841},
    "interpretation": "The peer base result prevents an absolute-superiority interpretation and illustrates sensitivity to training exposure and interface."
  },
  "training_resource_context": {
    "ConeML": {
      "pretraining_token_positions": 12320000000,
      "tokens_per_parameter": 15.2,
      "estimated_training_flops_6ND": 5.99e19,
      "pretraining_wall_time_days": 11,
      "hardware": "one NVIDIA RTX 5090",
      "power_assumption_kw_average_wall": 0.70,
      "estimated_pretraining_energy_kwh": 184.8,
      "assumed_swiss_residential_tariff_chf_per_kwh": [0.14, 0.30],
      "estimated_marginal_pretraining_electricity_chf": [25.87, 55.44],
      "exclusions": ["hardware", "depreciation", "labor", "SFT", "evaluation", "conversion", "grid-carbon estimate"]
    },
    "peer_compute_context": [
      {"model": "TinyLlama 1.1B", "published_pretraining_tokens": 3000000000000, "approx_tokens_per_parameter": 2727, "approx_flops_vs_coneml": 330},
      {"model": "Llama 3.2 1B", "published_pretraining_tokens": 9000000000000, "approx_tokens_per_parameter": 7258, "approx_flops_vs_coneml": 1118, "note": "plus distillation"},
      {"model": "SmolLM2 1.7B", "published_pretraining_tokens": 11000000000000, "approx_tokens_per_parameter": 6471, "approx_flops_vs_coneml": 1873},
      {"model": "Qwen3 0.6B", "published_pretraining_tokens": 36000000000000, "approx_tokens_per_parameter": 60000, "approx_flops_vs_coneml": 2164},
      {"model": "Qwen3.5 0.8B", "published_pretraining_tokens": null, "approx_tokens_per_parameter": null, "approx_flops_vs_coneml": null}
    ]
  },
  "evidence": {
    "public_interpretation": "PEER_COMPARISON.md",
    "private_rows": "retained by ConeML",
    "hash_commitment": "PEER_EVIDENCE_SHA256SUMS.txt"
  }
}