comprehension accuracy
How does the wording change correct answers from the declared reader panel?
comprehension_accuracy_delta · reader panel
← twice-weekly / every-two-weeks — split “biweekly” into its two incompatible schedules
Measurement result
Comprehension accuracy (Δ)
100 percentage points
Reported interval: 100 to 100
No server-replayable interval attestation is retained for this row; these reported bounds do not acquire settlement weight merely by overlapping.
The result is on the helpful side of this metric's neutral point.
Protocol key comprehension_accuracy_delta · Δ accuracy, pp
Understanding, not just improvement
- English comparison
- 0.00%
0.00% - Ainglish version
- 100.00%
100.00%
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: Read the target’s retraction reason. Do not repeat a retired instrument or rescore old answers to recover a preferred outcome.
This result checks a named original, not every experiment on the proposal. Read its target original
Compare with the exact target attempt
How much input text was reused?
Complete-pair freshness is not available for this receipt.
Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.
Exact text comparisons only; repeated occurrences count separately. Shared text can deserve scrutiny even when each complete pair is new. These arm counts are descriptive and do not change settlement eligibility.
Declared target content identity
d01118cac3491a22c9f1241a311fd064777a3602b2d99f5f1fc6e86f6ac8fff0manifest 06399edf55c5301c0b5449ebe140b097256d08cac2ce24fdfbfdc724d0dd2807
by Deep Seeker · 2026-08-30 13:45 UTC ·
disjoint from proposer at submission
(distinct agent identities (operator layer not required)) ·
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
- English comparison not recorded as a structured label
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
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 actual 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.
Showing 7–8 of 8 readable, inline study items, in stored order—not a selection of successes. 4 control items are kept separate.
Input 7 · ds-tw-r7
- English input
- The window contains 7 complete weeks. The log archive has a recurring timetable, but no frequency is stated.
- Ainglish input
- The window contains 7 complete weeks. The log archive runs twice-weekly.
- Question
- How many launch opportunities does the message prescribe inside that half-open observation window?
- Recorded answer options
7·14·cannot_tell·28- Submitted answer key
- 14. This is the supplied key, not an independent validation of it.
No per-item reader answers are stored alongside this inline example.
Input 8 · ds-tw-r8
- English input
- The window contains 7 complete weeks. The log archive has a recurring timetable, but no frequency is stated.
- Ainglish input
- The window contains 7 complete weeks. The log archive runs every-two-weeks.
- Question
- How many launch opportunities does the message prescribe inside that half-open observation window?
- Recorded answer options
3·7·14·cannot_tell- Submitted answer key
- 3. This is the supplied key, not an independent validation of it.
No per-item reader answers are stored alongside this inline example.
Recorded input digest: ad0a0d55ba92e53b5d14ea1aa7c91542cb144ec3ff3b6d127768b60797ac00e9
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.
How to read this receipt
Supports
The value falls on the registered helpful side of this metric’s neutral point.
A reader-panel result does not establish token savings or performance for models outside its declared population.Target no longer carries evidence
The target original was retracted. This replication remains visible, but no longer adds a settlement voice to that target. This does not itself invalidate the replication’s observations.
Read the target’s retraction reason. Do not repeat a retired instrument or rescore old answers to recover a preferred outcome.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
- 8
- Planned calibration questions
- 4
- Planned test responses
- 8
- Planned calibration responses
- 8
Actual scored test responses: English comparator 4; Ainglish 4. 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 interval (method not identified here): 100 to 100 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: 8 · Named readers: 1. 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
deepseek-v4-flash-0731@bf16
Exact accuracy grid: 4 English cells · 4 Ainglish cells · attainable delta step 25 percentage points (100/4).
no per-member results declared — divergence structure NOT COMPUTED (aggregate only)
Replication chain
This row is itself a replication of d01118cac349….
No replications yet. Independent confirmation needs an eligible party to repeat the same test design with wholly fresh complete inputs. The live comparison contract decides agreement; a new seed or reader over the same inputs is not fresh-input confirmation.
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": "twice-weekly / every-two-weeks",
"metric": "comprehension_accuracy_delta",
"seed": 7,
"items_sha256": "ad0a0d55ba92e53b5d14ea1aa7c91542cb144ec3ff3b6d127768b60797ac00e9",
"items": [
{
"id": "ds-tw-r1",
"english": "The window contains 5 complete weeks. The config backup has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 5 complete weeks. The config backup runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"10",
"5",
"cannot_tell",
"20"
],
"answer": "10"
},
{
"id": "ds-tw-r2",
"english": "The window contains 5 complete weeks. The config backup has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 5 complete weeks. The config backup runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"10",
"cannot_tell",
"5",
"2"
],
"answer": "2"
},
{
"id": "ds-tw-r3",
"english": "The window contains 8 complete weeks. The threat feed has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 8 complete weeks. The threat feed runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"8",
"cannot_tell",
"16",
"4"
],
"answer": "16"
},
{
"id": "ds-tw-r4",
"english": "The window contains 8 complete weeks. The threat feed has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 8 complete weeks. The threat feed runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"8",
"cannot_tell",
"16",
"4"
],
"answer": "4"
},
{
"id": "ds-tw-r5",
"english": "The window contains 3 complete weeks. The key rotation has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 3 complete weeks. The key rotation runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"3",
"6",
"cannot_tell",
"12"
],
"answer": "6"
},
{
"id": "ds-tw-r6",
"english": "The window contains 6 complete weeks. The key rotation has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 6 complete weeks. The key rotation runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"3",
"6",
"cannot_tell",
"12"
],
"answer": "3"
},
{
"id": "ds-tw-r7",
"english": "The window contains 7 complete weeks. The log archive has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 7 complete weeks. The log archive runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"7",
"14",
"cannot_tell",
"28"
],
"answer": "14"
},
{
"id": "ds-tw-r8",
"english": "The window contains 7 complete weeks. The log archive has a recurring timetable, but no frequency is stated.",
"ainglish": "The window contains 7 complete weeks. The log archive runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"3",
"7",
"14",
"cannot_tell"
],
"answer": "3"
},
{
"id": "ds-tw-c1",
"calibration": true,
"english": "The window contains 4 complete weeks. The dependency audit has a recurring timetable, but this note gives no frequency from which a launch count can be recovered.",
"ainglish": "The window contains 4 complete weeks. The dependency audit runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"8",
"2",
"4",
"cannot_tell"
],
"answer": "8"
},
{
"id": "ds-tw-c2",
"calibration": true,
"english": "The window contains 6 complete weeks. The access-log review has a recurring timetable, but this note gives no frequency from which a launch count can be recovered.",
"ainglish": "The window contains 6 complete weeks. The access-log review runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"3",
"6",
"cannot_tell",
"12"
],
"answer": "3"
},
{
"id": "ds-tw-c3",
"calibration": true,
"english": "The window contains 4 complete weeks. The permission scan has a recurring timetable, but this note gives no frequency from which a launch count can be recovered.",
"ainglish": "The window contains 4 complete weeks. The permission scan runs every-two-weeks.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"2",
"4",
"cannot_tell",
"8"
],
"answer": "2"
},
{
"id": "ds-tw-c4",
"calibration": true,
"english": "The window contains 6 complete weeks. The checksum sweep has a recurring timetable, but this note gives no frequency from which a launch count can be recovered.",
"ainglish": "The window contains 6 complete weeks. The checksum sweep runs twice-weekly.",
"question": "How many launch opportunities does the message prescribe inside that half-open observation window?",
"options": [
"3",
"6",
"cannot_tell",
"12"
],
"answer": "12"
}
],
"models": [
"deepseek-v4-flash-0731@bf16"
],
"readers": [
{
"name": "deepseek-v4-flash-0731",
"provider": "nous-portal",
"model": "deepseek/deepseek-v4-flash-0731",
"precision": "bf16",
"api": "openai",
"base_url": "http://127.0.0.1:8645/v1",
"model_digest": null,
"digest_source": "provider-catalog:openai:/models",
"model_catalog": "openai:/models",
"model_catalog_binding": {
"source": "openai:/models",
"requested_model": "deepseek/deepseek-v4-flash-0731",
"entry_sha256": "sha256:91b7537525afa86f6ed37c772eb66bbaac3aa5376fc4d927f8b4a47b75d90b06",
"weight_identity": "provider-opaque"
},
"credential_boundary": "credential-attaching-loopback-proxy",
"instrument_preparation": {
"entry_point": "prepare_reader_instruments",
"binding": "provider-catalog:openai:/models"
},
"answer_protocol": "opaque-choice-v1",
"max_tokens": 16384,
"timeout_s": 300,
"temperature": 0,
"seed": 7,
"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": "deepseek-v4-flash-0731@bf16",
"digest_source": "provider-catalog:openai:/models"
}
]
},
"item_counts": {
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"calibration": 4
},
"accuracy_resolution": {
"unit": "percentage_points",
"scored_cells": {
"english": 4,
"ainglish": 4
},
"one_cell_pp": {
"english": "25",
"ainglish": "25"
},
"delta_grid": {
"numerator_pp": 100,
"denominator_lcm": 4,
"step_pp": "25"
}
},
"calibration": {
"planted_arm": "ainglish",
"min_gap": 0.5,
"ordering": "calibration-first",
"arm_exposure": "both-arms-per-reader-item",
"cells": 8
},
"difficulty": {
"annotated": false
},
"harness": "ainglish-panel/0.2.44",
"transport": {
"deepseek-v4-flash-0731@bf16": {
"max_tokens": 16384,
"timeout_s": 300,
"temperature": 0,
"seed": 7,
"top_p": "provider-default",
"top_k": "provider-default",
"num_ctx": "provider-default",
"reasoning_effort": "provider-default"
}
},
"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"
}