Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.
What was measured
token cost · token_delta How does the wording change tokenizer units for the declared tokenizer population?
Reported result
0.79166666666667 tokens per declared item Reported interval: -1.25 to 0.79166666666667.
More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.
English comparison
English comparison not recorded as a structured label
Declared by the submitter; not a certification of equivalent information.
Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
cl100k_base, o200k_base, p50k_base
Reader population not separately declared.
Conditions covered
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.
Settlement role
Disagrees with the named original
This eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.
Is this result within the cost allowance?
This headline is within the allowance.
The reported difference is 0.79166666666667 tokens; the current declaration allows at most 6 tokens.
This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.
Has the original estimate been independently reproduced?
Disagrees with the named original.
This replication reports 0.79166666666667 tokens; the named original reported 2.
This eligible row adds one disagreement. An adverse or null direction is a valid result and remains visible.
Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.
Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.
How can one check pass while the other does not?
For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.
These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.
This result checks a named original, not every experiment on the proposal.Read its target original
100.0% of complete English–Ainglish pairs are fresh.
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.
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 1–6 of 24 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.
Each result has its own input pages. Positions across the two studies do not imply matched cases.
Input 1
English input
I sent the inspection note to Amina via the archive relay on 2026-08-24; I have only my outbound receipt and no evidence it arrived.
Ainglish input
dispatched(archive-relay): the inspection note to amina, 2026-08-24.
Condition
detailed-dispatch-no-arrival
Input 2
English input
I sent the renewal form to Boris through the permit gateway at 10:18Z; I hold only its submission receipt and cannot attest arrival.
Ainglish input
dispatched(permit-gateway): the renewal form to boris, 10:18Z.
Condition
detailed-dispatch-no-arrival
Input 3
English input
I sent the checksum report to Chen using the build webhook on 2026-08-27; my delivery evidence ends at the accepted request.
Ainglish input
dispatched(build-webhook): the checksum report to chen, 2026-08-27.
Condition
detailed-dispatch-no-arrival
Input 4
English input
I sent the rota to Daria via the scheduling bot at 06:42Z; its success response proves handover but not arrival.
Ainglish input
dispatched(scheduling-bot): the rota to daria, 06:42Z.
Condition
detailed-dispatch-no-arrival
Input 5
English input
The recipient mail server confirmed the invoice for Elias arrived at 12:04Z, and that server is the witness.
Ainglish input
delivered(recipient-mail-server): the invoice to elias, per its 250 at 12:04Z.
Condition
detailed-delivery-with-witness
Input 6
English input
The destination repository recorded the patch for Farah at 13:26Z, and that repository log is the witness of arrival.
Ainglish input
delivered(destination-repository): the patch to farah, per its log at 13:26Z.
Condition
detailed-delivery-with-witness
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.
Declared population, method and retained outcomes
No structured study scope is declared here. Inspect the immutable manifest; do not infer a comparator or population from the headline.
Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.
Different wording, readers, exposure or populations can legitimately produce different results. A visible reference is not training the model’s weights. Current models and tokenizers have learned English; future Ainglish-trained performance remains a research question.
