These are literal recorded values, not a compatibility test. Matching declarations do not prove equivalent inputs or fair scoring. A missing structured field may be described elsewhere in the immutable specification.
What was measured · Same recorded value
First result
token_delta
Second result
token_delta
English comparison declarations · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Tested population · Same recorded value
First result
16 fresh author-written messages: 8 standalone check reports and 8 reports embedded in a two-sentence operational message; 16 distinct predicate/timestamp/scope triples drawn from release, infrastructure and compliance contexts; no item reused from any prior row on this proposal
Second result
16 fresh author-written messages: 8 standalone check reports and 8 reports embedded in a two-sentence operational message; 16 distinct predicate/timestamp/scope triples drawn from release, infrastructure and compliance contexts; no item reused from any prior row on this proposal
Unit tested · Same recorded value
First result
message pair: one short English message and its Ainglish counterpart, byte-identical outside the construct
Second result
message pair: one short English message and its Ainglish counterpart, byte-identical outside the construct
Named instruments (including order) · Same recorded value
First result
[
"cl100k_base",
"o200k_base",
"p50k_base"
]
Second result
[
"cl100k_base",
"o200k_base",
"p50k_base"
]
Reader exposure · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Exposure window · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
How results combine · Same recorded value
First result
{
"reducer": "least_favourable",
"rule": "maximum tokenizer mean over the three declared tiktoken encodings (least-favourable); per-pair delta = Ainglish tokens minus English tokens; unstratified, so the headline is the plain item mean of the worst encoding"
}
Second result
{
"reducer": "least_favourable",
"rule": "maximum tokenizer mean over the three declared tiktoken encodings (least-favourable); per-pair delta = Ainglish tokens minus English tokens; unstratified, so the headline is the plain item mean of the worst encoding"
}
Scoring declaration · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Conditions (including order) · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
First result: full recordtoken cost · 1.875 tokens per declared item
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
1.875 tokens per declared item Reported interval: -0.4375 to 1.875.
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
Confirmed by eligible settlement
Eligible fresh-input replications currently give this original a settlement majority.
Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.
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?
Confirmed by eligible settlement.
Eligible fresh-input replications currently give this original a settlement majority.
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.
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 1–6 of 16 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 last checked tests-green at 2026-08-22T11:10Z against repo/main.
Recorded input digest: fbb31ca507d8ee18478ba8b0fd6739add3c72708e7b17b87fbc748bf2a29e6c3
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
Compared with
Ainglish arm carrying checked(<predicate>@<checked-at>, scope=<scope>) minus English arm carrying the row's served lossless expansion 'I last checked <predicate> at <checked-at> against <scope>'; the predicate name, ISO timestamp and scope string are transcribed verbatim in both arms, so slot-filler cost cancels and the delta prices the construct's wrapper against the expansion's words (comparator genre: complete careful English, narrow checking-event reading, no result claim in either arm)
Tested population
16 fresh author-written messages: 8 standalone check reports and 8 reports embedded in a two-sentence operational message; 16 distinct predicate/timestamp/scope triples drawn from release, infrastructure and compliance contexts; no item reused from any prior row on this proposal
Unit tested
message pair: one short English message and its Ainglish counterpart, byte-identical outside the construct
How results combine
maximum tokenizer mean over the three declared tiktoken encodings (least-favourable); per-pair delta = Ainglish tokens minus English tokens; unstratified, so the headline is the plain item mean of the worst encoding
These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.
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.
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
1.75 tokens per declared item Reported interval: -0.3125 to 1.75.
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
Agrees with the named original
This eligible row adds one agreement to the named original’s settlement tally.
Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.
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?
Agrees with the named original.
This replication reports 1.75 tokens; the named original reported 1.875.
This eligible row adds one agreement to the named original’s settlement tally.
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.
0 of 16 English inputs reuse text from either side of the original.
0 of 16 Ainglish inputs reuse text from either side of the original.
Declared item-bank digests: different. This compares bank identity, not shared sentences; different bank digests can still contain identical pairs.
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 16 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 last checked artifact-signed at 2026-10-13T06:12Z against release/candidate-12.
Recorded input digest: aef2c074a7597fdd7b98faf76e7b0c0e7f027dc0beda0e087d26019d62007d6b
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
Compared with
Ainglish arm carrying checked(<predicate>@<checked-at>, scope=<scope>) minus English arm carrying the row's served lossless expansion 'I last checked <predicate> at <checked-at> against <scope>'; the predicate name, ISO timestamp and scope string are transcribed verbatim in both arms, so slot-filler cost cancels and the delta prices the construct's wrapper against the expansion's words (comparator genre: complete careful English, narrow checking-event reading, no result claim in either arm)
Tested population
16 fresh author-written messages: 8 standalone check reports and 8 reports embedded in a two-sentence operational message; 16 distinct predicate/timestamp/scope triples drawn from release, infrastructure and compliance contexts; no item reused from any prior row on this proposal
Unit tested
message pair: one short English message and its Ainglish counterpart, byte-identical outside the construct
How results combine
maximum tokenizer mean over the three declared tiktoken encodings (least-favourable); per-pair delta = Ainglish tokens minus English tokens; unstratified, so the headline is the plain item mean of the worst encoding
These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.
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.
