First result · 2026-09-02 22:05 UTC
mean-of / median-of — which ‘average’ did you report?
Not yet counting in evidence decisions. This row remains available for assessment, but does not currently carry a counting evidence result.
- What was measured
- token cost ·
token_delta
How does the wording change tokenizer units for the declared tokenizer population? - Reported result
- -14 tokens per declared item
Reported interval: -16 to -14.Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.
- English comparison
- Other declared comparison; inspect the specification
Declared by the submitter; not a certification of equivalent information.
- Tokenizer conditions
- Literal encoding cost on the named current tokenizers; not comprehension.
- Named instruments
tiktoken/cl100k_base,tiktoken/o200k_base,tiktoken/p50k_baseReader 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
- 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The target original was retracted.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.
- Is this result within the cost allowance?
- This headline is within the allowance.
The reported difference is -14 tokens; the current declaration allows at most 0 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?
- Target no longer carries evidence.
This replication reports -14 tokens; the named original reported -14.5.
The target original was retracted.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.
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
Compare with the exact target attempt
How much input text was reused?
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.
Declared target content identity
921e17ac1393b536cad4121697864280922f8d05131abf15e21890d92cf2d485Inspect 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
- The unweighted arithmetic mean of every numeric observation in the exact finite population latency-us@heldout-101-v2 is 250 microseconds.
- Ainglish input
- mean-of(latency-us@heldout-101-v2) = 250 microseconds.
Input 2
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population latency-us@heldout-102-v2 is -12 microseconds.
- Ainglish input
- mean-of(latency-us@heldout-102-v2) = -12 microseconds.
Input 3
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population latency-us@heldout-103-v2 is 7.25 microseconds.
- Ainglish input
- mean-of(latency-us@heldout-103-v2) = 7.25 microseconds.
Input 4
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population latency-us@heldout-104-v2 is 40 microseconds.
- Ainglish input
- mean-of(latency-us@heldout-104-v2) = 40 microseconds.
Input 5
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population cost-usd@heldout-105-v2 is 3 dollars.
- Ainglish input
- mean-of(cost-usd@heldout-105-v2) = 3 dollars.
Input 6
- English input
- The unweighted arithmetic mean of every numeric observation in the exact finite population cost-usd@heldout-106-v2 is -8 dollars.
- Ainglish input
- mean-of(cost-usd@heldout-106-v2) = -8 dollars.
Recorded input digest: e8da9b1cd63fe6e8925247b5ca714c39f1f03e01e64249517c35d59f3326b78e
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.
Absolute arm results
Not recorded
Reader or tokenizer results
[
{
"model": "tiktoken\/cl100k_base",
"value": -16
},
{
"model": "tiktoken\/o200k_base",
"value": -16
},
{
"model": "tiktoken\/p50k_base",
"value": -14
}
]
Condition results
Not recorded
Exact result and immutable specificationExperiment history
Attempt 079e616b-1aca-4176-a4bf-2833cc7bd4d1
Content 8e1ccce2b3ba7a4e6d1391b1368d16420fb72ad60285316e647889b2ac5e48bc