Confirmation Set v1 · Historical overlap gate

The strict prior-period window contains zero repeated current-source records.

All 502,938 prior-period rows were normalized on eight canonical business fields and compared with all 541,909 current Online Retail rows as both unique fingerprints and multiplicity-aware multisets. A second, date-blind sensitivity test also found zero overlap.

Canonical overlap rows0
Date-blind overlap rows0
Boundary gap12 hours 51 minutes
Lineage positive control541,909 / 541,909
Historical overlap check complete. The strict window is unseen at the normalized record level under the frozen canonicalization.
The dataset gate is still pending. This step does not prove 36-context feasibility, external independence, or confirmation performance.

Dataset and boundary

Two disjoint business periods, checked at source-row multiplicity.

DatasetRowsUnique fingerprintsDuplicate extrasMinimum dateMaximum date
Strict prior window502,938496,3946,5442009-12-01 07:45:002010-11-30 19:35:00
Current Online Retail541,909536,6415,2682010-12-01 08:26:002011-12-09 12:50:00
Online Retail II 2010-2011 sheet541,910536,6425,2682010-12-01 08:26:002011-12-09 12:50:00

The final prior transaction occurs at 2010-11-30 19:35:00; the current source begins at 2010-12-01 08:26:00. The gap is 12 hours 51 minutes.

Three deliberately separate comparisons

Record identity is not the same as business similarity.

ComparisonFieldsShared uniqueShared rowsPrior row rateCurrent row rateInterpretation
Canonical record8 fields, including date000.00%0.00%Primary historical record-overlap gate
Date-blind record7 fields, excluding date000.00%0.00%Sensitivity check against a date-only separation result
Business patternproduct, description, quantity, price, country27,153195,81438.93%36.13%Descriptive continuity only; not record leakage
Why report the 195,814 shared business patterns? The same retailer naturally repeats products, quantities, prices, and countries across years. Publishing this continuity prevents a zero-record-overlap result from being misread as company, entity, or domain independence.

Normalization and fingerprinting

The primary result does not depend on raw spreadsheet formatting.

Canonical record

Invoice, stock code, normalized description, quantity, timestamp, six-place unit price, nullable customer ID, and country.

Date-blind sensitivity

The same comparison without timestamp. Its zero overlap shows the primary finding is not produced only by the frozen date cutoff.

Multiplicity-aware

Overlap rows use the minimum count of each fingerprint in both sources. Duplicate copies cannot disappear behind a set comparison.

Private row evidence

Length-prefixed, domain-separated SHA-256 fingerprints are recomputed locally. Public artifacts expose only aggregate counts and whole-inventory manifest hashes.

Lineage positive control

The method recovers the known current-source lineage.

The current 541,909-row workbook is a complete multiset subset of the 541,910-row Online Retail II 2010-2011 sheet. The sheet has exactly one additional source row; duplicate-extra counts are identical at 5,268.

Current rows recovered541,909
Current-only rows0
II sheet-only rows1
II coverage100.00%

This is a calibration check for normalization, not evidence of external replication.

Same-retailer continuity

Products, customers, and countries overlap even though source records do not.

Entity fieldPrior distinctCurrent distinctShared distinctPrior coverageCurrent coverage
invoice_no27,72825,90000.00%0.00%
stock_code4,6214,0703,38773.30%83.22%
description4,6244,2033,18368.84%75.73%
customer_id4,3364,3722,76663.79%63.27%
country40383587.50%92.11%
Claim limit: zero record overlap supports a temporal internal replication only. It does not establish a new retailer, independent entity population, different source lineage, or unseen business domain.

Research boundary

This proof advances one gate and creates no experiment result.