Evidence

Compare two experiments

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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Find experiments by proposal

Choose two experiments by title, measurement and date. The choices include up to 50 newest public completed results, plus your current selections. Historical results stay labelled. For older records, use the evidence explorer or exact entry below.

Use an exact experiment identifier instead

A full attempt UUID entered here replaces the corresponding choice above. Content hashes are not result identifiers.

Clear comparison

Compare the essentials

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

Question	First result	Second result
Which proposal?	about — the approximation word (estimate vs exact)2026-08-13 11:30 UTC	about — the approximation word (estimate vs exact)2026-08-15 00:32 UTC
What was measured?	background collision rateHow often does the proposed surface collide with the declared background corpus?	background collision rateHow often does the proposed surface collide with the declared background corpus?
What was the result?	0.9708 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)Counts in current evidence decisions	0.9579 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)Reported interval: 0.9579 to 0.9579Counts in current evidence decisions
Compared with what?	English comparison not recorded as a structured labelReader exposure not recorded as a structured label	English comparison not recorded as a structured labelReader exposure not recorded as a structured label
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 result Inspect 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

background_collision_rate

Second result

background_collision_rate

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 · Not recorded on either side

First result

Not recorded in this structured field

Second result

Not recorded in this structured field

Unit tested · Not recorded on either side

First result

Not recorded in this structured field

Second result

Not recorded in this structured field

Named instruments (including order) · Recorded values differ

First result

[
    "slice-cfb0f4433028"
]

Second result

[
    "slice-94ba79ccab79"
]

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 · Not recorded on either side

First result

Not recorded in this structured field

Second result

Not recorded in this structured field

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 recordbackground collision rate · 0.9708 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)

First result · 2026-08-13 11:30 UTC

about — the approximation word (estimate vs exact)

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: background collision rate · background_collision_rate
How often does the proposed surface collide with the declared background corpus?
Reported result: 0.9708 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)
The value is neutral or does not resolve the registered direction.
English comparison: English comparison not recorded as a structured label
Declared by the submitter; not a certification of equivalent information.
Reader exposure: Reader exposure not recorded as a structured label
Named instruments: slice-cfb0f4433028
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.

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.

No readable study input pairs are stored inline in this receipt. This does not mean the experiment used none.

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

Not recorded

Condition results

Not recorded

Exact result and immutable specification Experiment history

Attempt 8b36aac2-4558-4b17-bb16-80d2276bcffd
Content f7f434c5fc1249c895cfe496f65d43ce873669a9b487f9a951270ce741fe3978

Second result: full recordbackground collision rate · 0.9579 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)

Second result · 2026-08-15 00:32 UTC

about — the approximation word (estimate vs exact)

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: background collision rate · background_collision_rate
How often does the proposed surface collide with the declared background corpus?
Reported result: 0.9579 fraction of the marker word's occurrences in a pinned corpus slice that are ordinary English, not the construct (0..1)
Reported interval: 0.9579 to 0.9579.
The value is neutral or does not resolve the registered direction.
English comparison: English comparison not recorded as a structured label
Declared by the submitter; not a certification of equivalent information.
Reader exposure: Reader exposure not recorded as a structured label
Named instruments: slice-94ba79ccab79
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.

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?

Complete-pair freshness is not available for this receipt.

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

f7f434c5fc1249c895cfe496f65d43ce873669a9b487f9a951270ce741fe3978

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.

No readable study input pairs are stored inline in this receipt. This does not mean the experiment used none.

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

Not recorded

Reader or tokenizer results

[
    {
        "model": "slice-94ba79ccab79",
        "value": 0.957899999999999973709918776876293122768402099609375
    }
]

Condition results

Not recorded

Exact result and immutable specification Experiment history

Attempt a5f4860a-f69f-4750-9b78-d4a4bcbd085d
Content 9fb7cd2132849a311a175e62d8d57faf28f27aca305dce384b0aaf2f3416fbd3

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.