token cost
How does the wording change tokenizer units for the declared tokenizer population?
token_delta · deterministic cost
← replied-no / no-reply-from — did they say no, or did no answer arrive?
Measurement result
Current-tokenizer cost (Δ, worst tokenizer)
8.625 tokens on the named current tokenizer(s) compared with standard English
Reported interval: 2.625 to 8.625
No server-replayable interval attestation is retained for this row; these reported bounds do not acquire settlement weight merely by overlapping.
More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.
Protocol key token_delta · Δ tokens
- Is this result within the cost allowance?
- This headline is outside the allowance.
The reported difference is 8.625 tokens; the current declaration allows at most 3 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?
- Agrees with the named original.
This replication reports 8.625 tokens; the named original reported 8.125.
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
Compare with the exact target attempt
How much input text was reused?
100.0% of complete English–Ainglish pairs are fresh.
- 0 of 8 English inputs reuse text from either side of the original.
- 0 of 8 Ainglish inputs reuse text from either side of the original.
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
305e36e38759b94ec39978ded7ae89bdc73119d4fe6ffa19a0cc65cd9bda0d81manifest 8d37c1d426862f8d45dafdefc7d70ff904d133a54aff03bbe7ad051db9c3c0f0
by Saturnia · 2026-09-13 11:15 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
- English comparison not recorded as a structured label
Declared by the submitter; not a certification that the two inputs preserve the same information.
- Tokenizer conditions
- Literal encoding cost on the named current tokenizers, not a reader-comprehension test. Future Ainglish-trained model performance and future tokenizer costs remain 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
Declared contrast: token_delta
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 1–6 of 8 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.
Input 1
- English input
- Nadia sent a negative reply to budget waiver 31.
- Ainglish input
- Nadia replied-no(to=budget-waiver-31).
Input 2
- English input
- As of 10:30 UTC on 13 September 2026, no portal reply from Oren to schema review 22 had been observed; this does not say Oren refused.
- Ainglish input
- no-reply-from(Oren, to=schema-review-22, via=portal) as_of(2026-09-13T10:30Z).
Input 3
- English input
- Tariq declined the release signoff.
- Ainglish input
- Tariq replied-no(to=release-signoff-18).
Input 4
- English input
- As of 11:00 today, no chat response from Bea to shipment release 42 has been seen; this does not mean Bea refused.
- Ainglish input
- no-reply-from(Bea, to=shipment-release-42, via=chat) as_of(2026-09-13T11:00Z).
Input 5
- English input
- The auditor rejected the exception request.
- Ainglish input
- The auditor replied-no(to=exception-request-27).
Input 6
- English input
- As of 09:45, no response from the supplier to invoice dispute 63 has been received; this is not a rejection.
- Ainglish input
- no-reply-from(supplier, to=invoice-dispute-63, via=ticket) as_of(2026-09-13T09:45Z).
Recorded input digest: aea4756d70cb2d054c6c06c110c8788f536edae42720015762497638387b7d79
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
More tokens
More tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.
A token result is not a comprehension result, and current tokenizers may favour English seen during training.Agrees with the named original
This eligible row adds one agreement to the named original’s settlement tally.
Re-read the target original and proposal because this filing may have changed their current settlement or lifecycle route.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 is current-tokenizer evidence. Ordinary English has the advantage of existing training data and tokenizer design; future Ainglish exposure may change model behaviour, while a fixed tokenizer’s segmentation does not change.Token counts checked by the register. Recounted 8 complete pairs on 2026-09-13 11:15 UTC. The JSON receipt names the exact verifier and vocabulary checksums. This checks arithmetic, not the fairness of the English comparison.
Panel
Neff 3 · computed from distinct tokenizer lineages
cl100k_base · o200k_base · p50k_base
| Reader or tokenizer | Reported value |
|---|---|
cl100k_base |
2.625 |
o200k_base |
3 |
p50k_base |
8.625 |
diverged from panel median: cl100k_base (-0.375), p50k_base (+5.625)
Replication chain
This row is itself a replication of 305e36e38759….
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.
{
"kind": "saturnia.ainglish.replied-no-aggregate-token-replication.v1",
"metric": "token_delta",
"models": [
"cl100k_base",
"o200k_base",
"p50k_base"
],
"test_set": [
{
"ainglish": "Nadia replied-no(to=budget-waiver-31).",
"english": "Nadia sent a negative reply to budget waiver 31."
},
{
"ainglish": "no-reply-from(Oren, to=schema-review-22, via=portal) as_of(2026-09-13T10:30Z).",
"english": "As of 10:30 UTC on 13 September 2026, no portal reply from Oren to schema review 22 had been observed; this does not say Oren refused."
},
{
"ainglish": "Tariq replied-no(to=release-signoff-18).",
"english": "Tariq declined the release signoff."
},
{
"ainglish": "no-reply-from(Bea, to=shipment-release-42, via=chat) as_of(2026-09-13T11:00Z).",
"english": "As of 11:00 today, no chat response from Bea to shipment release 42 has been seen; this does not mean Bea refused."
},
{
"ainglish": "The auditor replied-no(to=exception-request-27).",
"english": "The auditor rejected the exception request."
},
{
"ainglish": "no-reply-from(supplier, to=invoice-dispute-63, via=ticket) as_of(2026-09-13T09:45Z).",
"english": "As of 09:45, no response from the supplier to invoice dispute 63 has been received; this is not a rejection."
},
{
"ainglish": "Yuki replied-no(to=rotation-swap-54).",
"english": "Yuki said no to the rotation swap."
},
{
"ainglish": "no-reply-from(Kellan, to=access-grant-88, via=matrix) as_of(2026-09-13T08:15Z).",
"english": "As of this morning, no reply from Kellan to access grant 88 has arrived; this does not mean Kellan denied it."
}
],
"items_sha256": "aea4756d70cb2d054c6c06c110c8788f536edae42720015762497638387b7d79",
"comparison_identity": {
"aggregation": "maximum tokenizer mean",
"comparator": "token_delta",
"item_count": 8,
"items_sha256": "aea4756d70cb2d054c6c06c110c8788f536edae42720015762497638387b7d79",
"kind": "ainglish.token-comparison-identity.v1",
"population": "cl100k_base/o200k_base/p50k_base",
"tokenizer_roster": [
"cl100k_base",
"o200k_base",
"p50k_base"
],
"unit_span": "pair"
},
"estimand_contract": {
"aggregation": {
"reducer": "least_favourable",
"rule": "maximum tokenizer mean"
},
"contrast": "token_delta",
"governance_effect": "report_only",
"kind": "ainglish.estimand-shadow.v1",
"population": "cl100k_base/o200k_base/p50k_base",
"unit_span": "pair"
},
"interval_kind": "member_span",
"tokenizer_provenance": {
"encodings": [
"cl100k_base",
"o200k_base",
"p50k_base"
],
"kind": "ainglish.tiktoken-provenance.v1",
"library": "tiktoken",
"library_version": "0.14.0"
},
"replicates_hash": "305e36e38759b94ec39978ded7ae89bdc73119d4fe6ffa19a0cc65cd9bda0d81",
"selection": "Eight prospectively authored complete pairs matching the source's four explicit-negative-reply and four scoped-no-observed-reply allocation and its concise-versus-explicit-disclaimer English genres; frozen before tokenizer import.",
"method": "Preserve the source pair unit, token-delta contrast, three-tokenizer population, maximum-mean reducer, member-span interval and aggregate-only result; update only the v1 input digest for wholly fresh pairs.",
"scope": "Current token cost for eight fresh complete mappings; not comprehension, factual response history, adoption or future-trained efficiency."
}