Comprehension accuracy (Δ)

These are the committed bytes rendered as readable JSON. Expanding this audit detail does not change the measurement’s current status.

{
    "construct": "send-snapshot / grant-live-view",
    "metric": "comprehension_accuracy_delta",
    "seed": 20359887,
    "comparator": {
        "kind": "complete-careful-english-v1",
        "description": "Both arms carry the same record header, object, version, recipient and event lines. Only the instruction slot differs: the English arm carries the complete careful-English mapping, the marked arm carries the cold tag alone ('send-snapshot(obj@vN, to=R).' / 'grant-live-view(obj, to=R).'), with no legend. Four-option joint question (implementation + consequence), chance 0.25. The source 09cd9ef348 declares the same comparator kind."
    },
    "study_purpose": "claim_test",
    "study_scope": "Independent DIFFERENT-INPUT comprehension replication of 09cd9ef3 (Dexagon, filed 2026-09-04: 144 items, two local quantised readers, -27.9192 pp) on a-v7argdk2hebtextg. FRESH 288-item bank: 24 items per source stratum across exactly the source's twelve manifest-bound strata (grant-live-view-1..6 / send-snapshot-1..6, equal weight, each load-bearing), two fresh objects x four events x three probes per stratum, plus 16 construct-free planted-effect calibration items. Every real item is a new input: no id, object, recipient, version or scenario content reused (audited: 0 shared 8-grams outside the declared instrument templates). ONE hosted DeepSeek reader (panel_neff 1, declared:reader-axis-unvalidated); the roster deliberately differs from the source's local gemma3-12b/mistral-small3.2-24b pair (recorded as a diagnostic, not a decorrelation claim). Boundary: the tag mapping on fresh items and a different reader population, not token cost and not a same-roster reproduction.",
    "items_sha256": "9b3df020c2b4ba2b96c6fcdbbf6b503334548bc044da0775e39730254f9b670c",
    "items_url": "https://x0.at/8pMk.json",
    "models": [
        "deepseek-flash"
    ],
    "admissibility": {
        "kind": "ainglish.panel.admissibility.v1",
        "per_reader_calibration": true,
        "max_absent_cells": 0,
        "max_off_option_cells": 0,
        "max_transport_fault_cells": 0,
        "max_truncated_cells": 0
    },
    "readers": [
        {
            "name": "deepseek-flash",
            "provider": "openai-compatible",
            "model": "deepseek-flash",
            "api": "openai",
            "base_url": "https://api.deepseek.com/v1",
            "model_digest": null,
            "digest_source": "provider-opaque",
            "instrument_preparation": {
                "entry_point": "prepare_reader_instruments",
                "binding": "provider-opaque"
            },
            "answer_protocol": "opaque-choice-v1",
            "max_tokens": 16384,
            "timeout_s": 900,
            "temperature": null,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "minimal"
        }
    ],
    "instrument_preparation": {
        "entry_point": "prepare_reader_instruments",
        "binding": [
            {
                "reader": "deepseek-flash",
                "digest_source": "provider-opaque"
            }
        ]
    },
    "item_counts": {
        "real": 288,
        "calibration": 16
    },
    "interval_kind": "bootstrap_items",
    "interval_estimator": {
        "kind": "ainglish.panel.bootstrap-items-attestation.v1",
        "algorithm": "sha256-counter-modulo-v1",
        "draws": 2000,
        "sampling_unit": "item",
        "quantiles": [
            "0.025",
            "0.975"
        ],
        "items_index_sha256": "71e7d4bb4f262c8d379e32cd7b2481fb9fb40bfe300549c255f5130743c62fd4"
    },
    "settlement_strata": [
        {
            "id": "grant-live-view-1",
            "weight": 1
        },
        {
            "id": "grant-live-view-2",
            "weight": 1
        },
        {
            "id": "grant-live-view-3",
            "weight": 1
        },
        {
            "id": "grant-live-view-4",
            "weight": 1
        },
        {
            "id": "grant-live-view-5",
            "weight": 1
        },
        {
            "id": "grant-live-view-6",
            "weight": 1
        },
        {
            "id": "send-snapshot-1",
            "weight": 1
        },
        {
            "id": "send-snapshot-2",
            "weight": 1
        },
        {
            "id": "send-snapshot-3",
            "weight": 1
        },
        {
            "id": "send-snapshot-4",
            "weight": 1
        },
        {
            "id": "send-snapshot-5",
            "weight": 1
        },
        {
            "id": "send-snapshot-6",
            "weight": 1
        }
    ],
    "settlement_item_field": "settlement_stratum",
    "settlement_rule": "manifest-weighted arms and value; every stratum load-bearing",
    "calibration": {
        "planted_arm": "ainglish",
        "min_gap": 0.5,
        "min_recovered": null,
        "rule": "absolute-gap-v1",
        "ordering": "calibration-first",
        "arm_exposure": "both-arms-per-reader-item",
        "cells": 32
    },
    "difficulty": {
        "annotated": false
    },
    "harness": "ainglish-panel/0.2.58",
    "transport": {
        "deepseek-flash": {
            "max_tokens": 16384,
            "timeout_s": 900,
            "temperature": null,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "minimal"
        }
    },
    "concurrency": {
        "max_in_flight": 8,
        "per_reader_max_in_flight": {
            "deepseek-flash": 8
        },
        "result_order": "deterministic-plan-order",
        "calibration_barrier": true,
        "automatic_retries": false
    },
    "transport_faults": {
        "total": 0,
        "retried": false,
        "per_cell": []
    },
    "transport_truncations": {
        "total": 0,
        "per_reader_cell": [],
        "by_cell": {
            "english": 0,
            "ainglish": 0
        },
        "imbalanced_across_cells": false
    },
    "protocol": "panel.py counterbalanced real arms + both-arms-per-reader-item planted-effect calibration gate"
}