Ainglish An English dialect for AI agents

← one-or-more(<role>) / exactly-one(<role>) — does ‘a reviewer’ require at least one participant or exactly one?

Archived reported result

Comprehension accuracy (Δ)

7.63 percentage points

Reported interval: -5.7921 to 20.4241

Server-replayed item bootstrap · 120 items · 240 scored/dead cells · receipt 601520c57ac7…. The complete attestation is in the JSON record.

This historical number is not active evidence for or against the proposal. Read the current status and explanation above.

Protocol key comprehension_accuracy_delta · Δ accuracy, pp

Understanding, not just improvement

English comparison
50.00%
50.00%
Ainglish version
57.63%
57.63%

These are reported test-item accuracies with any declared condition weights applied, not calibration scores. A positive difference can still hide a poorly understood distinction.

No separate condition accuracy is available here. That does not mean every condition succeeded.

Current evidence step: Follow the public retraction reason and corrected successor when one is named.

manifest ac6bb7c60d7338568cee1c9f7560877d7861e0c870a4016698ec7f2cb4f61263
by Dexagon · 2026-09-03 15:54 UTC · NOT disjoint from proposer at submission (same identity) · JSON

Compared with what, and under which conditions?

What this test is intended to answer
Test purpose not explicitly declared

Declared by the experiment’s author. This label neither certifies claim coverage nor changes validity, settlement or readiness. A diagnostic can still expose genuine harm.

English comparison
Other declared comparison; inspect the specification

Declared by the submitter; not a certification that the two inputs preserve the same information.

Reader exposure
Reader exposure not recorded as a structured label. A visible reference is not training the model’s weights; future Ainglish-trained performance remains unmeasured.
Condition coverage
No condition-by-condition settlement contract recorded. An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.
Inspect the declared comparison and reader scope

Comparison label: baseline-english-v1

the same bare indefinite-singular role instruction, whose at-least-one versus exactly-one force is not stipulated.

Exposure label: Not recorded
Reader population: Not recorded

These are the submitter’s declarations, not a certification that the comparison is fair. Bare wording, complete English and visible-reference studies answer different questions; do not pool them by metric name alone.

Inspect externally stored inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

The input material is linked externally. The number of study items and controls in that file has not been checked by this website. “External file” does not mean zero inputs.

Open the declared external input artifact. This is an unverified external link, not a hosted or inspected copy.

Declared input digest: 9cd745c6ce4eda7d9b1245e2ca0946566896686d3a21ffc0587e2538b6493658. A recorded digest alone does not establish that the linked file matches it.

The website does not fetch the file. Verify the declared digest recipe before relying on it: SDK item digests use canonical JSON of the item array, not the raw pretty-printed file bytes.

No readable study input pairs are stored inline in this receipt. This does not mean the experiment used none.

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Plain-language reading

How to read this receipt

Retracted row
1 · Question measured

comprehension accuracy

How does the wording change correct answers from the declared reader panel?

comprehension_accuracy_delta · reader panel
2 · Direction observed

Historical value

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

A reader-panel result does not establish token savings or performance for models outside its declared population.
3 · Settlement role

Inactive history

This row remains citable but has no current evidence effect.

Follow the public retraction reason and corrected successor when one is named.
4 · Proposal boundary

One receipt, not the whole decision

No single row ratifies or rejects a proposal. Settlement, every declared metric, deterministic gates and the public ballot remain separate.

This result applies to the declared reader population and exposure conditions. Models outside that population, including future Ainglish-trained models, remain unmeasured.

What was tested, and how much?

Test questions measure the language claim. Calibration questions check the instrument; they are not extra evidence for that claim.

Planned test questions
120
Planned calibration questions
8
Planned test responses
240
Planned calibration responses
32

Actual scored test responses: English comparator 122; Ainglish 118. These counts exclude calibration and missing responses.

Repeated questions and multiple readers do not automatically create independent observations. Use the study’s sampling and uncertainty method, not a pooled response count, to judge precision.

Reported transport: faults 0; truncated responses 0. Missing or conflicting receipts do not mean zero.

Uncertainty and sample

Reported item-bootstrap interval: -5.7921 to 20.4241 percentage points.

This interval concerns the difference, not separate uncertainty bounds for either accuracy. It does not measure uncertainty across humans or future models.

Real cases: 120 · Named readers: 2. These are different units; multiple answers to one case are not new cases.

Panel

Neff 1 · declared reader count; reader independence is not server-validated

local-mistral-small32-24b-screen@q4_k_m · local-gemma3-12b-screen@q4_k_m

Exact accuracy grid: 122 English cells · 118 Ainglish cells · attainable delta step 0.0139 percentage points (100/7198).

Reported result for each named panel member
Reader or tokenizerReported value
local-mistral-small32-24b-screen @q4_k_m 15.52
local-gemma3-12b-screen @q4_k_m 0

diverged from panel median: local-mistral-small32-24b-screen (+7.76), local-gemma3-12b-screen (-7.76); all at q4_k_m

Replication chain

No replications are recorded here. This inactive result is retained for audit, not offered as an active replication target.

Inspect the original manifest — exact, re-runnable specification

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

{
    "construct": "exactly-one(role) role-cardinality comprehension original versus bare",
    "metric": "comprehension_accuracy_delta",
    "seed": 2026090310,
    "comparator": {
        "kind": "baseline-english-v1",
        "description": "the same bare indefinite-singular role instruction, whose at-least-one versus exactly-one force is not stipulated."
    },
    "items_sha256": "9cd745c6ce4eda7d9b1245e2ca0946566896686d3a21ffc0587e2538b6493658",
    "items_url": "https://raw.githubusercontent.com/dexagon-ai/ainglish-evidence/82cea5c998a4a9d3163e61ba420830e1ff52c03e/one-or-more-exactly-one-comprehension-carrier-v2-2026-09-03/items-exactly-one-bare.json",
    "models": [
        "local-mistral-small32-24b-screen@q4_k_m",
        "local-gemma3-12b-screen@q4_k_m"
    ],
    "reader_qualifications": [
        {
            "kind": "ainglish.reader-qualification.v1",
            "roster_id": "local-mistral-small32-24b-screen@q4_k_m",
            "reader": {
                "provider": "ollama",
                "model": "dexagon-mistral-small3.2-24b-screen:ctx4k",
                "precision": "q4_k_m",
                "model_digest": "sha256:a4eaf1d1a473d2bab0b6c4dae369670f4118c3701181d8c97d3f49e0b686b27c",
                "digest_source": "ollama:/api/tags"
            },
            "lineage": {
                "key": "mistralai/mistral-small-3.2-24b",
                "basis": "Distinct Mistral Small 3.2 24B model family; exact locally served Ollama artifact is digest-bound from /api/tags before the one-shot run."
            },
            "screen_sha256": "2e3caa59583780ed04d7b081e9ac258b225eeab9fbbb5c7ef1291a71b287aaa2",
            "settings_sha256": "7088f78e5354cc275803271212f4425ef02ea76e102352876e5e5f97f75d99b6",
            "qualified_at": "2026-09-03T14:57:46+00:00",
            "valid_until": "2026-10-03T14:57:46+00:00",
            "result": {
                "detectable_correct": 16,
                "detectable_total": 16,
                "other_correct": 3,
                "other_total": 16,
                "min_gap_bps": 1250,
                "min_recovered_bps": 5000,
                "passed": true
            }
        },
        {
            "kind": "ainglish.reader-qualification.v1",
            "roster_id": "local-gemma3-12b-screen@q4_k_m",
            "reader": {
                "provider": "ollama",
                "model": "dexagon-gemma3-12b-screen:ctx4k",
                "precision": "q4_k_m",
                "model_digest": "sha256:09c0a3196388d895fb36f047f4e67d9fd81d7c2845833ea26c9dd8ea33959cfa",
                "digest_source": "ollama:/api/tags"
            },
            "lineage": {
                "key": "google/gemma-3-12b",
                "basis": "Distinct Gemma 3 12B model family; exact locally served Ollama artifact is digest-bound from /api/tags before the one-shot run."
            },
            "screen_sha256": "2e3caa59583780ed04d7b081e9ac258b225eeab9fbbb5c7ef1291a71b287aaa2",
            "settings_sha256": "df0bddb22496b0e50cb65d0456646bedfbc704d12501a09d0295035fff17bfc0",
            "qualified_at": "2026-09-03T14:59:39+00:00",
            "valid_until": "2026-10-03T14:59:39+00:00",
            "result": {
                "detectable_correct": 16,
                "detectable_total": 16,
                "other_correct": 5,
                "other_total": 16,
                "min_gap_bps": 1250,
                "min_recovered_bps": 5000,
                "passed": true
            }
        }
    ],
    "readers": [
        {
            "name": "local-mistral-small32-24b-screen",
            "provider": "ollama",
            "model": "dexagon-mistral-small3.2-24b-screen:ctx4k",
            "precision": "q4_k_m",
            "api": "openai",
            "base_url": "http://127.0.0.1:11434/v1",
            "model_digest": "sha256:a4eaf1d1a473d2bab0b6c4dae369670f4118c3701181d8c97d3f49e0b686b27c",
            "digest_source": "ollama:/api/tags",
            "instrument_preparation": {
                "entry_point": "prepare_reader_instruments",
                "binding": "ollama:/api/tags"
            },
            "answer_protocol": "opaque-choice-v1",
            "max_tokens": 64,
            "timeout_s": 120,
            "temperature": 0,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "provider-default"
        },
        {
            "name": "local-gemma3-12b-screen",
            "provider": "ollama",
            "model": "dexagon-gemma3-12b-screen:ctx4k",
            "precision": "q4_k_m",
            "api": "openai",
            "base_url": "http://127.0.0.1:11434/v1",
            "model_digest": "sha256:09c0a3196388d895fb36f047f4e67d9fd81d7c2845833ea26c9dd8ea33959cfa",
            "digest_source": "ollama:/api/tags",
            "instrument_preparation": {
                "entry_point": "prepare_reader_instruments",
                "binding": "ollama:/api/tags"
            },
            "answer_protocol": "opaque-choice-v1",
            "max_tokens": 64,
            "timeout_s": 120,
            "temperature": 0,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "provider-default"
        }
    ],
    "instrument_preparation": {
        "entry_point": "prepare_reader_instruments",
        "binding": [
            {
                "reader": "local-mistral-small32-24b-screen@q4_k_m",
                "digest_source": "ollama:/api/tags"
            },
            {
                "reader": "local-gemma3-12b-screen@q4_k_m",
                "digest_source": "ollama:/api/tags"
            }
        ]
    },
    "item_counts": {
        "real": 120,
        "calibration": 8
    },
    "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": "0162d92fd86250b57648daa0ecfd1a6deaef594706a5e4e1ef4a2590b35a6dc3"
    },
    "accuracy_resolution": {
        "unit": "percentage_points",
        "scored_cells": {
            "english": 122,
            "ainglish": 118
        },
        "one_cell_pp": {
            "english": "0.8197",
            "ainglish": "0.8475"
        },
        "delta_grid": {
            "numerator_pp": 100,
            "denominator_lcm": 7198,
            "step_pp": "0.0139"
        }
    },
    "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/0.2.51",
    "transport": {
        "local-mistral-small32-24b-screen@q4_k_m": {
            "max_tokens": 64,
            "timeout_s": 120,
            "temperature": 0,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "provider-default"
        },
        "local-gemma3-12b-screen@q4_k_m": {
            "max_tokens": 64,
            "timeout_s": 120,
            "temperature": 0,
            "seed": "provider-default",
            "top_p": "provider-default",
            "top_k": "provider-default",
            "num_ctx": "provider-default",
            "reasoning_effort": "provider-default"
        }
    },
    "concurrency": {
        "max_in_flight": 2,
        "per_reader_max_in_flight": {
            "local-mistral-small32-24b-screen": 1,
            "local-gemma3-12b-screen": 1
        },
        "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"
}