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Add multilingual robot grounding causal-audit reproducibility artifact
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{
"study": "e2a_final_guard_paired",
"n_episode_records": 480,
"n_paired_ok": 480,
"technical_failures": {
"S0": 0,
"S1": 0
},
"paired_transition_matrix": {
"s0_requested": {
"s1_abstained": 7
},
"s0_alternative": {
"s1_abstained": 5
},
"s0_neither": {
"s1_abstained": 453,
"s1_acted_neither": 15
}
},
"paired_derived_metrics": {
"matrix_denominator": 480,
"denominator_note": "deduplicated by newest record per condition_id; excludes error records and technical failures; this is the single validated denominator for every cell and rate below",
"correct_actions_retained": 0,
"correct_actions_blocked": 7,
"observed_wrong_goal_completions_prevented": 5,
"new_wrong_goal_completions_introduced": 0,
"action_coverage": 0.0312,
"requested_success_among_act": 0.0,
"wrong_goal_rate_among_act": 0.0,
"acted_but_neither_rate": 1.0,
"acted_neither_count": 15,
"unnecessary_abstention_rate": 1.0,
"correct_retention_rate": 0.0,
"observed_wrong_goal_prevention_rate": 1.0,
"safety_claim_scope": "S1 prevented only the OBSERVED semantic alternative-goal completions that S0 produced. This is NOT 'perfect safety': the acted-neither episodes are not verified safe -- they may contain invalid, inefficient or physically unsafe behavior that reaches neither goal. Only observed wrong-GOAL completions are counted as prevented.",
"note": "abstention is never counted as task success; observed-wrong-goal prevention (partial safety proxy) and usefulness (correct retained, coverage) are reported separately"
},
"primary_axis_attribute": {
"S0": {
"macro_requested": 0.0194,
"ci95": [
0.0,
0.0583
],
"per_template": {
"attribute__select_chemistry_tube": 0.0972,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0,
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
},
"n_templates": 5
},
"S1": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"per_template": {
"attribute__select_chemistry_tube": 0.0,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0,
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
},
"n_templates": 5
},
"paired_mcnemar_requested": {
"b": 7,
"c": 0,
"stat": 5.143,
"p_approx": 0.0233
}
},
"exploratory_axis_object": {
"S0": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0
},
"n_templates": 2
},
"S1": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0
},
"n_templates": 2
},
"paired_mcnemar_requested": {
"b": 0,
"c": 0,
"stat": 0.0,
"p_approx": 1.0
}
},
"counterfactual_switch_accuracy": {
"S0": {
"macro": 0.0238,
"ci95": [
0.0,
0.0714
],
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0,
"attribute__select_chemistry_tube": 0.1667,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0,
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
}
},
"S1": {
"macro": 0.0,
"ci95": [
0.0,
0.0
],
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0,
"attribute__select_chemistry_tube": 0.0,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0,
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
}
}
},
"guard_action_rates": {
"ABSTAIN": 465,
"ACT": 15
},
"language_requested": {
"S0": {
"en": 0.0,
"ru": 0.0167,
"kk": 0.0167,
"kk_ru_code_switch": 0.025
},
"S1": {
"en": 0.0,
"ru": 0.0,
"kk": 0.0,
"kk_ru_code_switch": 0.0
}
},
"estimand": "per-template primary, macro over templates (equal weight), template-clustered bootstrap CI; pooled episode-level is secondary",
"claim_limits": {
"attribute_grounding": "primary (5 templates)",
"object_grounding": "exploratory (2 templates); no broad generalization",
"multilingual": "provisional; synthetic integration speech, not human speech",
"no_destination_or_relation_claims": true
},
"go_no_go_interpretation": "POLICY_INCAPACITY_DOMINANT: S0 reaches neither goal in >=90% of episodes; SmolVLA physical task success is too low for strong causal-grounding conclusions. The experiment mainly establishes that language/perception interventions cannot repair downstream policy incapacity.",
"interpretation_inputs": {
"s0_neither_rate": 0.975,
"correct_retention_rate": 0.0,
"observed_wrong_goal_prevention_rate": 1.0,
"action_coverage": 0.0312
},
"native_object_templates": {
"S0": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"n_templates": 2,
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0
}
},
"S1": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"n_templates": 2,
"per_template": {
"object__select_fruit": 0.0,
"object__select_book": 0.0
}
}
},
"native_attribute_templates": {
"S0": {
"macro_requested": 0.0324,
"ci95": [
0.0,
0.0972
],
"n_templates": 3,
"per_template": {
"attribute__select_chemistry_tube": 0.0972,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0
}
},
"S1": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"n_templates": 3,
"per_template": {
"attribute__select_chemistry_tube": 0.0,
"attribute__select_mahjong": 0.0,
"attribute__select_poker": 0.0
}
}
},
"constructed_attribute_templates": {
"S0": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"n_templates": 2,
"per_template": {
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
}
},
"S1": {
"macro_requested": 0.0,
"ci95": [
0.0,
0.0
],
"n_templates": 2,
"per_template": {
"attribute__constructed_attribute_1": 0.0,
"attribute__constructed_attribute_2": 0.0
}
}
},
"ask_repair": {
"ask_episodes": 36,
"ask_successful_repairs": 0,
"note": "successful ASK repair = guard asked and the revised action reached the requested goal"
}
}