{
  "mode": "offline-synthetic-execution-identity",
  "baseline_commit": "c4486ed8cc3c82a00f421f3bac32653b814f2d40",
  "candidate": "working tree at invocation; published with its source commit",
  "baseline_source_sha256": {
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    "src/apixly_jev_harness/backend.py": "0ddfab6b270d8219a66614630e70aa10a74cb531f8075d07c255df145725ed5f",
    "src/apixly_jev_harness/callbacks.py": "2d27ad4540d910354c54de7566546b4c9d99b5a5fa87705a1905885349078497",
    "src/apixly_jev_harness/cli.py": "8d9434bf8a8b539163194a84e3f099761d08ef32201f99cbce46c139f3726d94",
    "src/apixly_jev_harness/context.py": "b9d76abb33f8a1ebe8731fe6d5fe6811445132a6046448fc0e2cc871507d50ea",
    "src/apixly_jev_harness/diagnostics.py": "9e8e98dc4b103c1a6687dbd31bd2dd01739309c7e4021b9ecb0f28b6976a0f71",
    "src/apixly_jev_harness/engine.py": "19d809ee7af67586b03a472af49908f6ec278231285d16db161a540b3f0247a6",
    "src/apixly_jev_harness/output.py": "94be8b482e4279e29aca128a35caf54744dbe8db8188f14905488f8ddde93a0b",
    "src/apixly_jev_harness/surfaces.py": "65ce73edfe9f6a3c16de373b3a1b85671c3d2cc661f3a50dd906a15721c7d8f1",
    "src/apixly_jev_harness/task.py": "0f5801e9fdb5626e1db65d269c715e8bcf692ebaa3a91f46b9945158b4bbb6db",
    "src/apixly_jev_harness/task_cli.py": "9cf30e5ed50680ac3b0212bdd8118d67f4272cc7690941a6e57e48fd2ccf850d",
    "src/apixly_jev_harness/verify.py": "97d2a178902291094f4e16db08732748d234b8c5ad8dd49a55607c8d195f1ed2"
  },
  "candidate_source_sha256": {
    "src/apixly_jev_harness/__init__.py": "7093e9f7a45a9b6c75b2cdd3c1c0a2364d1b66afbee46fa5340660e576d52cd6",
    "src/apixly_jev_harness/backend.py": "0ddfab6b270d8219a66614630e70aa10a74cb531f8075d07c255df145725ed5f",
    "src/apixly_jev_harness/callbacks.py": "2d27ad4540d910354c54de7566546b4c9d99b5a5fa87705a1905885349078497",
    "src/apixly_jev_harness/cli.py": "8d9434bf8a8b539163194a84e3f099761d08ef32201f99cbce46c139f3726d94",
    "src/apixly_jev_harness/context.py": "b9d76abb33f8a1ebe8731fe6d5fe6811445132a6046448fc0e2cc871507d50ea",
    "src/apixly_jev_harness/diagnostics.py": "9e8e98dc4b103c1a6687dbd31bd2dd01739309c7e4021b9ecb0f28b6976a0f71",
    "src/apixly_jev_harness/engine.py": "ad5e27cd3eeb8ccf3beb3f6a06e57321edd0fb8c2db63eaa432d3d00ebddf19f",
    "src/apixly_jev_harness/output.py": "94be8b482e4279e29aca128a35caf54744dbe8db8188f14905488f8ddde93a0b",
    "src/apixly_jev_harness/surfaces.py": "65ce73edfe9f6a3c16de373b3a1b85671c3d2cc661f3a50dd906a15721c7d8f1",
    "src/apixly_jev_harness/task.py": "0f5801e9fdb5626e1db65d269c715e8bcf692ebaa3a91f46b9945158b4bbb6db",
    "src/apixly_jev_harness/task_cli.py": "21c883722768c781a68e31e3a602e43eb2a5fac838ea61de478348e9cee87aa8",
    "src/apixly_jev_harness/verify.py": "97d2a178902291094f4e16db08732748d234b8c5ad8dd49a55607c8d195f1ed2"
  },
  "runner_sha256": "e1b9b8f8f1b99af1f077f1d21b052e6dab7d6723f44c130cc92f77f0810ef6e1",
  "python_version": "3.14.2",
  "cases": {
    "execute_known": {
      "stage": "execute",
      "usage": "known"
    },
    "execute_unknown": {
      "stage": "execute",
      "usage": "unknown"
    },
    "result_context_known": {
      "stage": "result_context",
      "usage": "known"
    },
    "result_context_unknown": {
      "stage": "result_context",
      "usage": "unknown"
    },
    "observe_known": {
      "stage": "observe",
      "usage": "known"
    },
    "observe_unknown": {
      "stage": "observe",
      "usage": "unknown"
    },
    "verify_known": {
      "stage": "verify",
      "usage": "known"
    },
    "verify_unknown": {
      "stage": "verify",
      "usage": "unknown"
    },
    "pre_effect_bind_stop": {
      "stage": "bind_stop",
      "usage": "known"
    },
    "pre_effect_freshness_stop": {
      "stage": "freshness_stop",
      "usage": "unknown"
    },
    "pre_effect_freshness_exception": {
      "stage": "freshness_exception",
      "usage": "known"
    },
    "post_effect_ordinary_exception": {
      "stage": "ordinary_exception",
      "usage": "known"
    },
    "normal_done_known": {
      "stage": "done",
      "usage": "known"
    },
    "normal_done_unknown": {
      "stage": "done",
      "usage": "unknown"
    },
    "cleared_next_cycle_verify_stop": {
      "stage": "next_cycle_verify_stop",
      "usage": "known"
    },
    "second_effect_execute_unknown": {
      "stage": "second_effect_execute",
      "usage": "unknown"
    }
  },
  "behavior_parity": true,
  "reproduction": "python benchmarks/execution_identity.py --output local-results/execution-identity-ab.json",
  "scope": "Sixteen fixed synthetic workflows, three paired repeats with alternating arm order. Four post-effect DecisionStop stages are paired with known/unknown prior scripted usage. Controls cover pre-effect binding/freshness stops, existing ordinary exception identities before/after effects, verified done with known/unknown usage, a later-cycle stop after pending identity was cleared and a second distinct action whose current id must not be replaced by the first historical id. Selection is scripted; native inference entrypoints are forbidden and actual model/network/UI calls are zero if the guard is never hit. Durable local intent and independent synthetic effect counters establish which current action stopped. The verifier-stop fixture uses the unchanged-observation immediate verification path while execution is still pending.",
  "negative_results": "Adding a current action_id increases uncertain terminal output bytes and introduces local projection work. The id identifies the program's pending action, not proof of external completion, permission, rollback, safe retry or exactly-once behavior. Ordinary exceptions already carried pending ids, including a pre-effect failure; pre-effect DecisionStop controls still omit action_id. No semantic quality, real-world action reconciliation, speed or fee improvement is claimed. Unknown prior scripted usage remains unknown even when the terminal action is identified.",
  "cost_conversion": "No tariff or savings assumed. Actual model usage is zero only with zero forbidden native attempts; a guard hit records unknown actual usage and fails the fixture. Scripted requests and reported scripted usage are separate from actual model usage. Real whole-operation timing uses perf_counter and includes synthetic registration, loop admission, scripted selection, trusted callbacks, effect markers and private journal serialization; excludes process/import setup and terminal analysis/source hashes. A loop-only frozen monotonic clock stabilizes synthetic request budgets and never substitutes for whole-operation timing. Returned context bytes exclude the local archive path; scalar request sizes include the shared context and selection envelope, not provider tokens.",
  "summary": {
    "baseline": {
      "runs": 48,
      "correct": 21,
      "behavior_correct": 48,
      "identity_correct": 21,
      "terminal_matches_durable_intent": 21,
      "uncertain_exits": 30,
      "pre_effect_stops": 6,
      "scripted_decisions": 51,
      "effects": 42,
      "intent_events": 42,
      "unknown_scripted_usage_rows": 21,
      "native_inference_attempts": 0,
      "raw_input_marker_exposures": 0,
      "median_whole_operation_seconds": 0.0013709584964090027,
      "returned_context_bytes": 24069,
      "selection_input_bytes": 87279,
      "shared_context_bytes": 14667,
      "actual_model_usage": {
        "requests": 0,
        "models": {},
        "input_tokens": 0,
        "output_tokens": 0,
        "usage_complete": true
      }
    },
    "candidate": {
      "runs": 48,
      "correct": 48,
      "behavior_correct": 48,
      "identity_correct": 48,
      "terminal_matches_durable_intent": 48,
      "uncertain_exits": 30,
      "pre_effect_stops": 6,
      "scripted_decisions": 51,
      "effects": 42,
      "intent_events": 42,
      "unknown_scripted_usage_rows": 21,
      "native_inference_attempts": 0,
      "raw_input_marker_exposures": 0,
      "median_whole_operation_seconds": 0.0014633749960921705,
      "returned_context_bytes": 24897,
      "selection_input_bytes": 87279,
      "shared_context_bytes": 14667,
      "actual_model_usage": {
        "requests": 0,
        "models": {},
        "input_tokens": 0,
        "output_tokens": 0,
        "usage_complete": true
      }
    }
  },
  "rows": [
    {
      "case": "execute_known",
      "runtime_version": "0.1.10",
      "runtime_loaded_from_requested_source": true,
      "fixture": {
        "stage": "execute",
        "usage": "known",
        "offered_action_ids": [
          "synthetic_step"
        ],
        "frozen_loop_monotonic": 100.0,
        "max_steps": 2,
        "timeout_seconds": 120
      },
      "expected": {
        "status": "execution_uncertain",
        "complete": false,
        "reason": "synthetic_stop_after_effect:execute",
        "error_type": null,
        "steps": 0,
        "effects": 1,
        "intent_events": 1,
        "executed_events": 0,
        "action_id": "synthetic_step",
        "scripted_decisions": 1,
        "scripted_requests_reported": 1,
        "scripted_usage_complete": true,
        "reported_scripted_usage": {
          "input_tokens": 7,
          "output_tokens": 2
        }
      },
      "result": {
        "status": "execution_uncertain",
        "complete": false,
        "reason": "synthetic_stop_after_effect:execute",
        "error_type": null,
        "steps": 0,
        "effects": 1,
        "intent_events": 1,
        "executed_events": 0,
        "action_id": null,
        "scripted_decisions": 1,
        "scripted_requests_reported": 1,
        "scripted_usage_complete": true,
        "reported_scripted_usage": {
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          "output_tokens": 2
        },
        "behavior_correct": true,
        "identity_correct": false,
        "terminal_matches_durable_intent": false,
        "observations": 2,
        "verifications": 1,
        "request_sizes": [
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            "selection_input_bytes": 1707,
            "shared_context_bytes": 282,
            "shared_context_characters": 282
          }
        ],
        "native_inference_attempts": 0,
        "raw_input_marker_exposures": 0
      },
      "correct": false,
      "whole_operation_seconds": 0.0010043329966720194,
      "returned_context_bytes": 527,
      "actual_model_usage": {
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        "models": {},
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        "usage_complete": true
      },
      "arm": "baseline",
      "repeat": 1
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    {
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      "runtime_loaded_from_requested_source": true,
      "fixture": {
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        "offered_action_ids": [
          "synthetic_step"
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        "frozen_loop_monotonic": 100.0,
        "max_steps": 2,
        "timeout_seconds": 120
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      "expected": {
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        "reason": "synthetic_stop_after_effect:execute",
        "error_type": null,
        "steps": 0,
        "effects": 1,
        "intent_events": 1,
        "executed_events": 0,
        "action_id": "synthetic_step",
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        "scripted_usage_complete": true,
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        }
      },
      "result": {
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        "reason": "synthetic_stop_after_effect:execute",
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        "action_id": "synthetic_step",
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        "scripted_usage_complete": true,
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        },
        "behavior_correct": true,
        "identity_correct": true,
        "terminal_matches_durable_intent": true,
        "observations": 2,
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            "shared_context_characters": 282
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        "native_inference_attempts": 0,
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      "whole_operation_seconds": 0.0013297089899424464,
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      "actual_model_usage": {
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        "usage_complete": true
      },
      "arm": "candidate",
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    {
      "case": "execute_known",
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      "expected": {
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        "reason": "synthetic_stop_after_effect:execute",
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        "steps": 0,
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        "action_id": "synthetic_step",
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      },
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        "action_id": "synthetic_step",
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        },
        "behavior_correct": true,
        "identity_correct": true,
        "terminal_matches_durable_intent": true,
        "observations": 2,
        "verifications": 1,
        "request_sizes": [
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            "shared_context_bytes": 282,
            "shared_context_characters": 282
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        ],
        "native_inference_attempts": 0,
        "raw_input_marker_exposures": 0
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      "correct": true,
      "whole_operation_seconds": 0.0013340420118765905,
      "returned_context_bytes": 558,
      "actual_model_usage": {
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        "usage_complete": true
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      "arm": "candidate",
      "repeat": 2
    },
    {
      "case": "execute_known",
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      "runtime_loaded_from_requested_source": true,
      "fixture": {
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        "max_steps": 2,
        "timeout_seconds": 120
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        "reason": "synthetic_stop_after_effect:execute",
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        "action_id": "synthetic_step",
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        "reason": "synthetic_stop_after_effect:execute",
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            "shared_context_characters": 282
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    {
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        "behavior_correct": true,
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        "observations": 2,
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            "shared_context_characters": 282
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    {
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        "scripted_usage_complete": true,
        "reported_scripted_usage": {
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        "behavior_correct": true,
        "identity_correct": true,
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        "observations": 2,
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            "shared_context_characters": 282
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      "arm": "candidate",
      "repeat": 3
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    {
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      "runtime_loaded_from_requested_source": true,
      "fixture": {
        "stage": "execute",
        "usage": "unknown",
        "offered_action_ids": [
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        ],
        "frozen_loop_monotonic": 100.0,
        "max_steps": 2,
        "timeout_seconds": 120
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      "expected": {
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        "steps": 0,
        "effects": 1,
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