{
  "format": "arti-website-lora-expression-check@1",
  "complete": true,
  "measured_on": "2026-10-12",
  "purpose": "Same-LoRA expression/implementation check, not an independent ARTI training or library quality ranking",
  "base": {
    "id": "Qwen/Qwen3-0.6B",
    "revision": "c1899de289a04d12100db370d81485cdf75e47ca"
  },
  "profile": {
    "target_layers": [
      "model.layers.26.self_attn.v_proj",
      "model.layers.27.self_attn.v_proj"
    ],
    "rank": 32,
    "alpha": 32,
    "dropout": 0,
    "adapter_bias": false,
    "merged": false,
    "precision": "BF16 frozen host, FP32 A/B and adapter arithmetic",
    "formula": "y = Wx + (alpha/r) B(Ax)",
    "parameters": 131072
  },
  "weights_origin": "The existing PEFT seed 17/29/43 profiles at final training update 200, without selecting on heldout",
  "continuation_protocol": {
    "steps": 3,
    "batch": 8,
    "examples": 24,
    "selection": "first 24 fixed training records",
    "optimizer": "AdamW, lr .001, weight_decay .01, clip 1, fresh identical optimizer state"
  },
  "matched_answers": 1536,
  "max_deltas": {
    "loss": 0,
    "gradient": 0,
    "parameter": 0
  },
  "summaries": {
    "squad": {
      "em": 56.770833333333336,
      "f1": 64.21988995333979,
      "em_std": 1.8460217290049252,
      "f1_std": 1.502822247037492
    },
    "cmrc": {
      "em": 46.875,
      "f1": 70.77493248953475,
      "em_std": 1.953125,
      "f1_std": 1.4007142440287006
    }
  },
  "runs": [
    {
      "language": "squad",
      "seed": 17,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "56f8c1a09b226e1400dd0f3e",
        "56f8c1a09b226e1400dd0f40",
        "56f8c1a09b226e1400dd0f3f",
        "56f8c1a09b226e1400dd0f3d",
        "56bfae97a10cfb1400551236",
        "56beab283aeaaa14008c91cd",
        "56bfae97a10cfb1400551237",
        "56d4d2f12ccc5a1400d8326f",
        "56d4d2f12ccc5a1400d83270",
        "56bfae97a10cfb1400551235",
        "56beab283aeaaa14008c91cc",
        "56bfae97a10cfb1400551234",
        "56d4d2f12ccc5a1400d8326c",
        "56d4d2f12ccc5a1400d8326d",
        "56e02060231d4119001abf3f",
        "56e02060231d4119001abf3e",
        "5706d9820eeca41400aa0e82",
        "5706d9820eeca41400aa0e83",
        "5706d9820eeca41400aa0e81",
        "5706d9820eeca41400aa0e85",
        "5706d9820eeca41400aa0e84",
        "570bd9336b8089140040fa8c",
        "570bd9336b8089140040fa8d",
        "570bd9336b8089140040fa8a"
      ],
      "losses": {
        "peft": [
          0.3405081629753113,
          0.5836313366889954,
          0.18500597774982452
        ],
        "torch": [
          0.3405081629753113,
          0.5836313366889954,
          0.18500597774982452
        ],
        "arti": [
          0.3405081629753113,
          0.5836313366889954,
          0.18500597774982452
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "9141f0b32bd4e4e1476911e581aba235df540d3d43ab781bb4e930e79aae7d83",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 58.203125,
      "f1": 65.63052250655048,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    },
    {
      "language": "squad",
      "seed": 29,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "56f8c1a09b226e1400dd0f3e",
        "56f8c1a09b226e1400dd0f40",
        "56f8c1a09b226e1400dd0f3f",
        "56f8c1a09b226e1400dd0f3d",
        "56bfae97a10cfb1400551236",
        "56beab283aeaaa14008c91cd",
        "56bfae97a10cfb1400551237",
        "56d4d2f12ccc5a1400d8326f",
        "56d4d2f12ccc5a1400d83270",
        "56bfae97a10cfb1400551235",
        "56beab283aeaaa14008c91cc",
        "56bfae97a10cfb1400551234",
        "56d4d2f12ccc5a1400d8326c",
        "56d4d2f12ccc5a1400d8326d",
        "56e02060231d4119001abf3f",
        "56e02060231d4119001abf3e",
        "5706d9820eeca41400aa0e82",
        "5706d9820eeca41400aa0e83",
        "5706d9820eeca41400aa0e81",
        "5706d9820eeca41400aa0e85",
        "5706d9820eeca41400aa0e84",
        "570bd9336b8089140040fa8c",
        "570bd9336b8089140040fa8d",
        "570bd9336b8089140040fa8a"
      ],
      "losses": {
        "peft": [
          0.29649627208709717,
          0.5120722055435181,
          0.17418470978736877
        ],
        "torch": [
          0.29649627208709717,
          0.5120722055435181,
          0.17418470978736877
        ],
        "arti": [
          0.29649627208709717,
          0.5120722055435181,
          0.17418470978736877
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "ecdd30a02ab445afa1bcbee910008256fe5a1882b9b4c4e4af02414674e936c9",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 57.421875,
      "f1": 64.38982310178855,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    },
    {
      "language": "squad",
      "seed": 43,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "56f8c1a09b226e1400dd0f3e",
        "56f8c1a09b226e1400dd0f40",
        "56f8c1a09b226e1400dd0f3f",
        "56f8c1a09b226e1400dd0f3d",
        "56bfae97a10cfb1400551236",
        "56beab283aeaaa14008c91cd",
        "56bfae97a10cfb1400551237",
        "56d4d2f12ccc5a1400d8326f",
        "56d4d2f12ccc5a1400d83270",
        "56bfae97a10cfb1400551235",
        "56beab283aeaaa14008c91cc",
        "56bfae97a10cfb1400551234",
        "56d4d2f12ccc5a1400d8326c",
        "56d4d2f12ccc5a1400d8326d",
        "56e02060231d4119001abf3f",
        "56e02060231d4119001abf3e",
        "5706d9820eeca41400aa0e82",
        "5706d9820eeca41400aa0e83",
        "5706d9820eeca41400aa0e81",
        "5706d9820eeca41400aa0e85",
        "5706d9820eeca41400aa0e84",
        "570bd9336b8089140040fa8c",
        "570bd9336b8089140040fa8d",
        "570bd9336b8089140040fa8a"
      ],
      "losses": {
        "peft": [
          0.3790406584739685,
          0.5708467960357666,
          0.17132695019245148
        ],
        "torch": [
          0.3790406584739685,
          0.5708467960357666,
          0.17132695019245148
        ],
        "arti": [
          0.3790406584739685,
          0.5708467960357666,
          0.17132695019245148
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "39d5ef0ed4eb7b3e1251a3f98d8bc1a5254fe75441c1f1d5eb6414b0d77fe275",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 54.6875,
      "f1": 62.63932425168034,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    },
    {
      "language": "cmrc",
      "seed": 17,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "TRAIN_33_QUERY_4",
        "TRAIN_33_QUERY_3",
        "TRAIN_33_QUERY_0",
        "TRAIN_33_QUERY_1",
        "TRAIN_33_QUERY_2",
        "TRAIN_633_QUERY_0",
        "TRAIN_633_QUERY_1",
        "TRAIN_2735_QUERY_2",
        "TRAIN_2735_QUERY_3",
        "TRAIN_2735_QUERY_0",
        "TRAIN_2735_QUERY_1",
        "TRAIN_2313_QUERY_1",
        "TRAIN_2313_QUERY_3",
        "TRAIN_2313_QUERY_2",
        "TRAIN_2313_QUERY_4",
        "TRAIN_2313_QUERY_0",
        "TRAIN_1827_QUERY_3",
        "TRAIN_1827_QUERY_1",
        "TRAIN_1827_QUERY_0",
        "TRAIN_1827_QUERY_2",
        "TRAIN_2389_QUERY_1",
        "TRAIN_2389_QUERY_3",
        "TRAIN_2389_QUERY_0",
        "TRAIN_2389_QUERY_4"
      ],
      "losses": {
        "peft": [
          0.2764286398887634,
          0.3463381230831146,
          0.2680079936981201
        ],
        "torch": [
          0.2764286398887634,
          0.3463381230831146,
          0.2680079936981201
        ],
        "arti": [
          0.2764286398887634,
          0.3463381230831146,
          0.2680079936981201
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "3363ce74c979624dad85f6c725e8e3a3a06d1aed8dd86c8d4ec74db470982a7e",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 48.828125,
      "f1": 71.60003757660152,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    },
    {
      "language": "cmrc",
      "seed": 29,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "TRAIN_33_QUERY_4",
        "TRAIN_33_QUERY_3",
        "TRAIN_33_QUERY_0",
        "TRAIN_33_QUERY_1",
        "TRAIN_33_QUERY_2",
        "TRAIN_633_QUERY_0",
        "TRAIN_633_QUERY_1",
        "TRAIN_2735_QUERY_2",
        "TRAIN_2735_QUERY_3",
        "TRAIN_2735_QUERY_0",
        "TRAIN_2735_QUERY_1",
        "TRAIN_2313_QUERY_1",
        "TRAIN_2313_QUERY_3",
        "TRAIN_2313_QUERY_2",
        "TRAIN_2313_QUERY_4",
        "TRAIN_2313_QUERY_0",
        "TRAIN_1827_QUERY_3",
        "TRAIN_1827_QUERY_1",
        "TRAIN_1827_QUERY_0",
        "TRAIN_1827_QUERY_2",
        "TRAIN_2389_QUERY_1",
        "TRAIN_2389_QUERY_3",
        "TRAIN_2389_QUERY_0",
        "TRAIN_2389_QUERY_4"
      ],
      "losses": {
        "peft": [
          0.25660941004753113,
          0.34312042593955994,
          0.277435302734375
        ],
        "torch": [
          0.25660941004753113,
          0.34312042593955994,
          0.277435302734375
        ],
        "arti": [
          0.25660941004753113,
          0.34312042593955994,
          0.277435302734375
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "7c3a21f7237a133ffe857769011028917d101a88eb11cea751b536cfeff2a62a",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 46.875,
      "f1": 71.56712124183932,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    },
    {
      "language": "cmrc",
      "seed": 43,
      "trainable_parameters": 131072,
      "continuation_steps": 3,
      "training_ids": [
        "TRAIN_33_QUERY_4",
        "TRAIN_33_QUERY_3",
        "TRAIN_33_QUERY_0",
        "TRAIN_33_QUERY_1",
        "TRAIN_33_QUERY_2",
        "TRAIN_633_QUERY_0",
        "TRAIN_633_QUERY_1",
        "TRAIN_2735_QUERY_2",
        "TRAIN_2735_QUERY_3",
        "TRAIN_2735_QUERY_0",
        "TRAIN_2735_QUERY_1",
        "TRAIN_2313_QUERY_1",
        "TRAIN_2313_QUERY_3",
        "TRAIN_2313_QUERY_2",
        "TRAIN_2313_QUERY_4",
        "TRAIN_2313_QUERY_0",
        "TRAIN_1827_QUERY_3",
        "TRAIN_1827_QUERY_1",
        "TRAIN_1827_QUERY_0",
        "TRAIN_1827_QUERY_2",
        "TRAIN_2389_QUERY_1",
        "TRAIN_2389_QUERY_3",
        "TRAIN_2389_QUERY_0",
        "TRAIN_2389_QUERY_4"
      ],
      "losses": {
        "peft": [
          0.316466361284256,
          0.34510713815689087,
          0.24345073103904724
        ],
        "torch": [
          0.316466361284256,
          0.34510713815689087,
          0.24345073103904724
        ],
        "arti": [
          0.316466361284256,
          0.34510713815689087,
          0.24345073103904724
        ]
      },
      "qualification": {
        "torch": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        },
        "arti": {
          "loss_max_abs": 0.0,
          "gradient_max_abs": 0.0,
          "parameter_max_abs": 0.0
        }
      },
      "program_codec_roundtrip": true,
      "finite_nonzero_gradients": true,
      "source_adapter_sha256": "e6dfbb69a3c63625900938dc5a2b9210e71c1e85ad5ec86d94722d5661fd8abb",
      "questions": 256,
      "identical_peft_answers": 256,
      "em": 44.921875,
      "f1": 69.15763865016342,
      "source_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f"
    }
  ],
  "program": {
    "schema_ref": "arti/formula-program@sha256:215f631f44a79a6ffd2e59fcae801397c9f6e8abf597b8e836c98a8702142c0d",
    "schema_version": 2,
    "bindings": [
      {
        "kind": "input",
        "name": "base",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Dout"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        }
      },
      {
        "kind": "input",
        "name": "x",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Din"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        }
      },
      {
        "kind": "bank",
        "name": "lora.A",
        "source_ref": "arti/formula-operand-bank@sha256:c2f6e7173f8d22828ef8300806b6c853116b8d476af9e4822596e120f21babb1",
        "partition_id": "A",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "R",
            "Din"
          ],
          "sizes": [
            32,
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "asset_fingerprint": null,
        "route_ref": null,
        "bundle_id": "lora",
        "member_ids": [
          "member-000"
        ]
      },
      {
        "kind": "bank",
        "name": "lora.B",
        "source_ref": "arti/formula-operand-bank@sha256:c2f6e7173f8d22828ef8300806b6c853116b8d476af9e4822596e120f21babb1",
        "partition_id": "B",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "Dout",
            "R"
          ],
          "sizes": [
            1024,
            32
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "asset_fingerprint": null,
        "route_ref": null,
        "bundle_id": "lora",
        "member_ids": [
          "member-000"
        ]
      },
      {
        "kind": "input",
        "name": "lora.gain",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [],
          "sizes": [],
          "dtype": "float32",
          "domain": "anonymous"
        }
      }
    ],
    "slots": [
      {
        "slot_id": "base",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Dout"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "input",
        "producer_id": "base",
        "role": "input"
      },
      {
        "slot_id": "x",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Din"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "input",
        "producer_id": "x",
        "role": "input"
      },
      {
        "slot_id": "lora.A",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "R",
            "Din"
          ],
          "sizes": [
            32,
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "bank",
        "producer_id": "lora.A",
        "role": "bank_operand"
      },
      {
        "slot_id": "%0",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "R"
          ],
          "sizes": [
            "B",
            "S",
            32
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "instruction",
        "producer_id": "i0",
        "role": "temporary"
      },
      {
        "slot_id": "lora.B",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "Dout",
            "R"
          ],
          "sizes": [
            1024,
            32
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "bank",
        "producer_id": "lora.B",
        "role": "bank_operand"
      },
      {
        "slot_id": "%1",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Dout"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "instruction",
        "producer_id": "i1",
        "role": "temporary"
      },
      {
        "slot_id": "lora.gain",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [],
          "sizes": [],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "input",
        "producer_id": "lora.gain",
        "role": "input"
      },
      {
        "slot_id": "%2",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Dout"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "instruction",
        "producer_id": "i2",
        "role": "temporary"
      },
      {
        "slot_id": "%3",
        "value_type": {
          "schema_ref": "arti/formula-tensor-type@sha256:2e8878cf1e99d96acf3eeada7c31268b4fa1a8594b97cee660de148db4bf4f0c",
          "axes": [
            "B",
            "S",
            "Dout"
          ],
          "sizes": [
            "B",
            "S",
            1024
          ],
          "dtype": "float32",
          "domain": "anonymous"
        },
        "producer": "instruction",
        "producer_id": "i3",
        "role": "output"
      }
    ],
    "instructions": [
      {
        "instruction_id": "i0",
        "step": 1,
        "atom_ref": "arti/formula-atom-contract@sha256:0e64cc2f8e26fe31dae10c4920b2d160df426b04a707c712bbaba5a8c6b38260",
        "input_slots": [
          "x",
          "lora.A"
        ],
        "output_slot": "%0",
        "attributes": {
          "accumulation_dtype": "float32",
          "output_axes": [
            "B",
            "S",
            "R"
          ],
          "reduce_axes": [
            [
              "Din",
              "Din"
            ]
          ]
        }
      },
      {
        "instruction_id": "i1",
        "step": 2,
        "atom_ref": "arti/formula-atom-contract@sha256:0e64cc2f8e26fe31dae10c4920b2d160df426b04a707c712bbaba5a8c6b38260",
        "input_slots": [
          "%0",
          "lora.B"
        ],
        "output_slot": "%1",
        "attributes": {
          "accumulation_dtype": "float32",
          "output_axes": [
            "B",
            "S",
            "Dout"
          ],
          "reduce_axes": [
            [
              "R",
              "R"
            ]
          ]
        }
      },
      {
        "instruction_id": "i2",
        "step": 3,
        "atom_ref": "arti/formula-atom-scale@sha256:739d9ea89c2f37107ca608a3b8a30c4bfbda09cc5889be2487221adc22db8de7",
        "input_slots": [
          "%1",
          "lora.gain"
        ],
        "output_slot": "%2",
        "attributes": {
          "accumulation_dtype": "float32",
          "factor_axes": []
        }
      },
      {
        "instruction_id": "i3",
        "step": 4,
        "atom_ref": "arti/formula-atom-add@sha256:21af44bb3290662b7e7f695b0096c9359c94f9db75272504351bb84e68a1b4d9",
        "input_slots": [
          "base",
          "%2"
        ],
        "output_slot": "%3",
        "attributes": {
          "accumulation_dtype": "float32"
        }
      }
    ],
    "outputs": [
      "%3"
    ],
    "limits": {
      "schema_ref": "arti/formula-limits@sha256:8280c6ef583c507defa40a52a3b0b80aa29975b6013a6a86651fe23464a073cf",
      "schema_version": 1,
      "max_bindings": 32,
      "max_slots": 128,
      "max_instructions": 96,
      "max_steps": 64,
      "max_axes": 8,
      "max_axis_extent": 1048576,
      "max_tensor_elements": 268435456,
      "max_tensor_bytes": 1073741824,
      "max_working_bytes": 2147483648
    }
  },
  "source_harness_sha256": "499bc178dee56d87f64b009fc9ea942ee71f3a3cba7f49e2db0009527cf49e4f",
  "original_experiment_sha256": "b1ef45d23c3edbf48a85fa727b2ae4999a0dcf0abb43851c0d961b329344d931",
  "predictions_sha256": "b0fab21388f6ce21b1447f6d67f9d289a804338b4477a6551d421f58e95eea16",
  "scope": "Standard unmerged Linear LoRA under the declared conditions; not PEFT-wide feature, toolchain or checkpoint compatibility",
  "sources": {
    "arti": "https://github.com/ragnarok-io/ARTI/blob/dcb321d6e108d0167c5fbca0a77501f34b154af2/src/arti/formula_v2.py",
    "peft": "https://github.com/huggingface/peft/blob/v0.19.1/src/peft/tuners/lora/layer.py",
    "lora": "https://arxiv.org/abs/2106.09685"
  },
  "execution_helper_sha256": "b1ef45d23c3edbf48a85fa727b2ae4999a0dcf0abb43851c0d961b329344d931",
  "reproduction_helper_sha256": "f79a6700e2e576760715639f04215779c120bb2fb4aa5382cccccfc5fbbac34b"
}