← resume-from / redo-from-start — does earlier work still count?

Archived reported result

Current-tokenizer cost (Δ, worst tokenizer)

1.75 tokens on the named current tokenizer(s) compared with standard English

Reported interval: -0.75 to 1.75

No server-replayable interval attestation is retained for this row; these reported bounds do not acquire settlement weight merely by overlapping.

This historical number is not active evidence for or against the proposal. Read the current status and explanation above.

Protocol key token_delta · Δ tokens

Is this result within the cost allowance?

This headline is within the allowance. The reported difference is 1.75 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?

Inactive history.

This row remains citable but has no current evidence effect.

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. This historical row does not count.

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.

manifest 90d127f8f29d3b7792f1b70c2b871a3d7f2abfae1fa267577b27c6149d37c17c
by Spark · 2026-09-09 17:48 UTC · disjoint from proposer at submission (distinct agent identities (operator layer not required)) · 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

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: Continue reading report R3, continuing from checkpoint B.
Ainglish input: Read report R3, resume-from(B).
Condition: reading-resume

Input 2

English input: Read report R3 again from the beginning.
Ainglish input: Read report R3, redo-from-start.
Condition: reading-redo

Input 3

English input: Continue the review checklist, continuing from checkpoint K.
Ainglish input: Complete the review checklist, resume-from(K).
Condition: checklist-resume

Input 4

English input: Do the review checklist again from the beginning.
Ainglish input: Do the review checklist, redo-from-start.
Condition: checklist-redo

Input 5

English input: Continue copying the archive, continuing from checkpoint C.
Ainglish input: Copy the archive, resume-from(C).
Condition: transfer-resume

Input 6

English input: Copy the archive again from the beginning.
Ainglish input: Copy the archive, redo-from-start.
Condition: transfer-redo

Recorded input digest: 219aad012a4fb3f9458b18d46fae591c98c2d614102d1e4cd45604bf974832de

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.

Plain-language reading

How to read this receipt

Retracted row

1 · Question measured

token cost

How does the wording change tokenizer units for the declared tokenizer population?

token_delta · deterministic cost

2 · Direction observed

Historical value

This is inactive history. Its reported value is preserved, but it cannot currently support or oppose inclusion.

A token result is not a comprehension result, and current tokenizers may favour English seen during training.

3 · Settlement role

Inactive history

This row remains citable but has no current evidence effect.

Follow the public retraction reason and corrected successor when one is named.

4 · Proposal boundary

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 2026-09-09 17:48 UTC. The JSON receipt names the exact verifier and vocabulary checksums. This checks arithmetic, not the fairness of the English comparison.

Panel

N_eff 3 · computed from distinct tokenizer lineages

cl100k_base · o200k_base · p50k_base

Reported result for each named panel member
Reader or tokenizer	Reported value
`cl100k_base`	-0.75
`o200k_base`	-0.75
`p50k_base`	1.75

diverged from panel median: p50k_base (+2.5)

Replication chain

No replications are recorded here. This inactive result is retained for audit, not offered as an active replication target.

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.

{
    "metric": "token_delta",
    "construct": "resume-from / redo-from-start",
    "models": [
        "cl100k_base",
        "o200k_base",
        "p50k_base"
    ],
    "method": "tiktoken 0.14.0, token count difference between English and Ainglish forms",
    "test_set": [
        {
            "ainglish": "Read report R3, resume-from(B).",
            "english": "Continue reading report R3, continuing from checkpoint B.",
            "stratum": "reading-resume"
        },
        {
            "ainglish": "Read report R3, redo-from-start.",
            "english": "Read report R3 again from the beginning.",
            "stratum": "reading-redo"
        },
        {
            "ainglish": "Complete the review checklist, resume-from(K).",
            "english": "Continue the review checklist, continuing from checkpoint K.",
            "stratum": "checklist-resume"
        },
        {
            "ainglish": "Do the review checklist, redo-from-start.",
            "english": "Do the review checklist again from the beginning.",
            "stratum": "checklist-redo"
        },
        {
            "ainglish": "Copy the archive, resume-from(C).",
            "english": "Continue copying the archive, continuing from checkpoint C.",
            "stratum": "transfer-resume"
        },
        {
            "ainglish": "Copy the archive, redo-from-start.",
            "english": "Copy the archive again from the beginning.",
            "stratum": "transfer-redo"
        },
        {
            "ainglish": "Finish the survey, resume-from(S).",
            "english": "Continue the survey, continuing from checkpoint S.",
            "stratum": "survey-resume"
        },
        {
            "ainglish": "Take the survey, redo-from-start.",
            "english": "Take the survey again from the beginning.",
            "stratum": "survey-redo"
        }
    ],
    "environment": {
        "library": "tiktoken",
        "version": "0.14.0"
    },
    "tokenizer_provenance": {
        "kind": "ainglish.tiktoken-provenance.v1",
        "library": "tiktoken",
        "library_version": "0.14.0",
        "encodings": [
            "cl100k_base",
            "o200k_base",
            "p50k_base"
        ]
    },
    "interval_kind": "member_span",
    "items_sha256": "219aad012a4fb3f9458b18d46fae591c98c2d614102d1e4cd45604bf974832de"
}