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Evidence

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Check what changed in the question, wording or readers before comparing the numbers.

This view keeps both results separate. It does not calculate a combined score or decide whether they reproduce each other.

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Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

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Clear comparison

Compare the essentials

Read each question across both results. A matching description is not proof that the studies are scientifically comparable.

QuestionFirst resultSecond result
Which proposal?caused-by(<C>) / co-occurring(<C>) — say whether you're asserting a cause or only a sequence2026-09-08 11:21 UTCcaused-by(<C>) / co-occurring(<C>) — say whether you're asserting a cause or only a sequence2026-09-14 19:34 UTC
What was measured?token costHow does the wording change tokenizer units for the declared tokenizer population?token costHow does the wording change tokenizer units for the declared tokenizer population?
What was the result?-1.5 tokens per declared itemReported interval: -4 to -1.5Counts in current evidence decisions-1.5 tokens per declared itemReported interval: -4 to -1.5Counts in current evidence decisions
Compared with what?English comparison not recorded as a structured labelCurrent tokenizer cost, not comprehensionEnglish comparison not recorded as a structured labelCurrent tokenizer cost, not comprehension
Independently settled?Confirmed by eligible settlementEligible fresh-input replications currently give this original a settlement majority.Agrees with the named originalThis eligible row adds one agreement to the named original’s settlement tally.

Inspect first resultInspect second result

What differs in the declared methods?

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
64 authored pairs: 32 fresh Y/C contexts in eight equally weighted domains, each crossed with both forms; the three registered tiktoken 0.14.0 encodings
Second result
64 authored pairs: 32 fresh Y/C contexts in eight equally weighted domains, each crossed with both forms; the three registered tiktoken 0.14.0 encodings
Unit tested · Same recorded value
First result
one complete causal-assertion or nonassertion sentence pair
Second result
one complete causal-assertion or nonassertion sentence pair
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 64 equally weighted pairs; retain separate per-tokenizer means for each equally weighted 32-pair form stratum"
}
Second result
{
    "reducer": "least_favourable",
    "rule": "maximum tokenizer mean over 64 equally weighted pairs; retain separate per-tokenizer means for each equally weighted 32-pair form stratum"
}
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) · Same recorded value
First result
[
    {
        "id": "caused-by",
        "weight": 1
    },
    {
        "id": "co-occurring",
        "weight": 1
    }
]
Second result
[
    {
        "id": "caused-by",
        "weight": 1
    },
    {
        "id": "co-occurring",
        "weight": 1
    }
]
First result: full recordtoken cost · -1.5 tokens per declared item

First result · 2026-09-08 11:21 UTC

caused-by(<C>) / co-occurring(<C>) — say whether you're asserting a cause or only a sequence

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
-1.5 tokens per declared item
Reported interval: -4 to -1.5.

Fewer 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
Separate outcomes retained for all 2 declared conditions

caused-by, co-occurring

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.

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
caused-by2 Not recorded
co-occurring-5 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

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 64 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 · cause-20260908-computing-0-assertion

English input
The service restarted because of the configuration reload.
Ainglish input
The service restarted caused-by(the configuration reload).
Condition
caused-by

Input 2 · cause-20260908-computing-0-nonassertion

English input
The service restarted; the configuration reload preceded or accompanied it; no causation is asserted.
Ainglish input
The service restarted co-occurring(the configuration reload).
Condition
co-occurring

Input 3 · cause-20260908-computing-1-assertion

English input
The response time fell because of the cache replacement.
Ainglish input
The response time fell caused-by(the cache replacement).
Condition
caused-by

Input 4 · cause-20260908-computing-1-nonassertion

English input
The response time fell; the cache replacement preceded or accompanied it; no causation is asserted.
Ainglish input
The response time fell co-occurring(the cache replacement).
Condition
co-occurring

Input 5 · cause-20260908-computing-2-assertion

English input
The upload stopped because of the network interruption.
Ainglish input
The upload stopped caused-by(the network interruption).
Condition
caused-by

Input 6 · cause-20260908-computing-2-nonassertion

English input
The upload stopped; the network interruption preceded or accompanied it; no causation is asserted.
Ainglish input
The upload stopped co-occurring(the network interruption).
Condition
co-occurring

Recorded input digest: bdc2aba32426b5dab005cd11c10a4aa26b4a05ba3d6649c559d1843558b14888

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
Y because of C versus Y caused-by(C); Y with C preceding or accompanying it and no causal assertion versus Y co-occurring(C)
Tested population
64 authored pairs: 32 fresh Y/C contexts in eight equally weighted domains, each crossed with both forms; the three registered tiktoken 0.14.0 encodings
Unit tested
one complete causal-assertion or nonassertion sentence pair
How results combine
maximum tokenizer mean over 64 equally weighted pairs; retain separate per-tokenizer means for each equally weighted 32-pair form stratum

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.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -3.5
    },
    {
        "model": "o200k_base",
        "value": -4
    },
    {
        "model": "p50k_base",
        "value": -1.5
    }
]

Condition results

[
    {
        "id": "caused-by",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "co-occurring",
        "weight": 1,
        "share": 0.5,
        "value": -5,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 4815adb6-df37-41b2-8623-921906d515be
Content f79549ae7ba7448a4f6b926a8034a441d84acab267c4d5c5ec24e8d1ac894b4d

Second result: full recordtoken cost · -1.5 tokens per declared item

Second result · 2026-09-14 19:34 UTC

caused-by(<C>) / co-occurring(<C>) — say whether you're asserting a cause or only a sequence

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
-1.5 tokens per declared item
Reported interval: -4 to -1.5.

Fewer 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
Separate outcomes retained for all 2 declared conditions

caused-by, co-occurring

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 -1.5 tokens; the named original reported -1.5.

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

Every declared condition must agree. Overlapping overall intervals alone do not confirm this original.

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

  • 0 of 64 English inputs reuse text from either side of the original.
  • 0 of 64 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.

Declared target content identityf79549ae7ba7448a4f6b926a8034a441d84acab267c4d5c5ec24e8d1ac894b4d

Does the overall result hide differences between conditions?

Every stored condition, without new pooling. Differences and intervals use tokens. Condition names come from the frozen experiment.
ConditionReported differenceReported interval
caused-by2 Not recorded
co-occurring-5 Not recorded

A missing condition interval is not zero uncertainty. An overall interval cannot substitute for agreement in every load-bearing condition.

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 64 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 · sat-cause-20260914-agriculture-1-assertion

English input
The irrigation cycle stopped because of the controller fault.
Ainglish input
The irrigation cycle stopped caused-by(the controller fault).
Condition
caused-by

Input 2 · sat-cause-20260914-agriculture-1-nonassertion

English input
The irrigation cycle stopped; the controller fault preceded or accompanied it; no causation is asserted.
Ainglish input
The irrigation cycle stopped co-occurring(the controller fault).
Condition
co-occurring

Input 3 · sat-cause-20260914-agriculture-2-assertion

English input
The grain yield increased because of the soil amendment.
Ainglish input
The grain yield increased caused-by(the soil amendment).
Condition
caused-by

Input 4 · sat-cause-20260914-agriculture-2-nonassertion

English input
The grain yield increased; the soil amendment preceded or accompanied it; no causation is asserted.
Ainglish input
The grain yield increased co-occurring(the soil amendment).
Condition
co-occurring

Input 5 · sat-cause-20260914-agriculture-3-assertion

English input
The harvest began because of the moisture reading.
Ainglish input
The harvest began caused-by(the moisture reading).
Condition
caused-by

Input 6 · sat-cause-20260914-agriculture-3-nonassertion

English input
The harvest began; the moisture reading preceded or accompanied it; no causation is asserted.
Ainglish input
The harvest began co-occurring(the moisture reading).
Condition
co-occurring

Recorded input digest: 0e3207bf0bf6065637435af4951962b43b0ee1fa2a7e781affbc60803faad9d3

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
Y because of C versus Y caused-by(C); Y with C preceding or accompanying it and no causal assertion versus Y co-occurring(C)
Tested population
64 authored pairs: 32 fresh Y/C contexts in eight equally weighted domains, each crossed with both forms; the three registered tiktoken 0.14.0 encodings
Unit tested
one complete causal-assertion or nonassertion sentence pair
How results combine
maximum tokenizer mean over 64 equally weighted pairs; retain separate per-tokenizer means for each equally weighted 32-pair form stratum

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.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "cl100k_base",
        "value": -3.5
    },
    {
        "model": "o200k_base",
        "value": -4
    },
    {
        "model": "p50k_base",
        "value": -1.5
    }
]

Condition results

[
    {
        "id": "caused-by",
        "weight": 1,
        "share": 0.5,
        "value": 2,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    },
    {
        "id": "co-occurring",
        "weight": 1,
        "share": 0.5,
        "value": -5,
        "value_lo": null,
        "value_hi": null,
        "arms": null,
        "resolution_bound": "not_applicable"
    }
]

Exact result and immutable specificationExperiment history

Attempt 263fc579-71c3-42a3-a1e6-989a31246e58
Content adaf5cf84acdc9b86b14b939a6c15ff474f644288951f25bba6e789e3fbfa061

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.