{
  "graft_cert_version": "0.1",
  "program": "phenoage",
  "source": "phenoage.graft.yaml",
  "edit_id": "E3 (sandbox snapshot 1108-125512_evaluate3)",
  "target": {
    "model": "insilicomedicine/Qwen3-0.6B-Longevity",
    "weights_sha256": "f547df5c82226b524fc44748876685000f34208efe80aeef8f8eb7238b5a5cce",
    "arch_class": "pre-norm decoder; RMSNorm; SiLU-gated MLP; RoPE GQA attention",
    "d_model": 1024,
    "layers": 28,
    "mlp_width": 3072
  },
  "delta": {
    "format": "gdelta-v0.1: {tensor_name: (int32 [n,2] indices, fp32 [n] new values)}",
    "file": "weight_delta_vs_unedited.pt",
    "sha256_rule": "sha256 over tensor names in sorted order; for each, name bytes then fp32 bytes of the new values",
    "sha256": "96c614175243d5d6000b96537793fa7b6cb429a381c9154129fb671c87eba6c4",
    "sha256_recorded_in_run": "96c614175243d5d6000b96537793fa7b6cb429a381c9154129fb671c87eba6c4",
    "sha256_match": true,
    "changed_scalars": 1957862,
    "fraction_of_model": "0.26%",
    "tensors": 36,
    "by_layer": {
      "3": 18432,
      "4": 140285,
      "6": 79872,
      "7": 86016,
      "9": 1140715,
      "10": 92160,
      "11": 36864,
      "12": 289790,
      "13": 73728
    },
    "by_kind": {
      "down_proj": 169984,
      "gate_proj": 169984,
      "up_proj": 169984,
      "k_proj": 655346,
      "o_proj": 4096,
      "q_proj": 786420,
      "v_proj": 2048
    }
  },
  "resources": {
    "replaced_mlp_neurons": {
      "L3": 6,
      "L4": 2,
      "L6": 26,
      "L7": 28,
      "L9": 30,
      "L10": 30,
      "L11": 12,
      "L12": 8,
      "L13": 24,
      "total": 166
    },
    "attention_switches_additive": [
      "L4 kv-group 3 (flag)",
      "L9 q-heads 0-4 / kv-groups 0-2 (shift)",
      "L12 q-head 0 / kv-group 0 (sum)"
    ],
    "value_channels_taken": ["L4 g3 ch89", "L12 g0 ch14"]
  },
  "undo": {
    "method": "write back the original values at the recorded indices (Registry.restore)",
    "exact": true
  },
  "side_effects": {
    "suite": "graft-probes-165 (105 multiple-choice, 40 LB-0038 age, 20 chat)",
    "suite_reference_sha256": "aa23334ac8cda335b79b844cf7e18c30a804c4b217830918b65c3c0b90caeb59",
    "rule": "max KL <= 0.5 and <= 1 top-1 change among probes with top1-top2 gap >= 0.15 nats",
    "max_kl": 0.358,
    "confident_flips": 0,
    "near_tie_flips": 5,
    "mc_accuracy": {
      "original": "61/105",
      "edited": "63/105"
    },
    "pass": true,
    "strict_rule_pass": false,
    "independent_recheck": "rebuilt from recipe outside the sandbox: max KL 0.3583, 0 confident flips"
  },
  "contracts": {
    "program": {
      "claim": "PhenoAge answer within the pre-registered bar",
      "split": "held-out, n = 2823, scored once",
      "metric": "MAE (years)",
      "bound": 1.5,
      "measured": 1.524,
      "ci95": [1.473, 1.578],
      "pass": false,
      "comparators": {
        "original_model": 10.63,
        "gbm_750_labels": 1.75,
        "copy_stated_age": 7.88
      }
    },
    "instructions": "per-instruction contracts and measured values: see phenoage.graft.yaml"
  },
  "reproduction": {
    "recipe": "isa/ library + phenoage_program.py + 44 fitted vector files",
    "rebuilt_sha256": "96c614175243d5d6000b96537793fa7b6cb429a381c9154129fb671c87eba6c4",
    "match": true
  },
  "conformance": {
    "G0_reversible": true,
    "G1_contracted": true,
    "G2_certified": true,
    "G3_reproducible": true,
    "level": "G3",
    "note": "conformance says the claims are recorded and checkable; it does not say the program met its target (it missed 1.5 by 0.024)"
  }
}