# Desk log ADR-RAR-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/reproducible-analysis-run  
**Run ID:** `ADR-RAR-20260825`  
**Date:** 2026-08-25 (Tuesday)  
**Operator:** InfiniSynapse Data Team  
**Attestor:** William Zhu, InfiniSynapse cofounder ([GitHub @allwefantasy](https://github.com/allwefantasy))  
**Contact for contradictions:** zhuhl@infinisynapse.com

## What this file is

A downloadable record of a same-goal rerun on a monthly contribution pack. Last week used calendar month. This week’s first attempt used trailing 28 days. The reviewer rejected that grain shift and accepted a restated calendar-month rerun. It is **not** a named-logo customer case, a vendor bake-off, or a Turing Way / ACM / Stanford / McKinsey experiment.

## Four-step method (reproducible)

1. Bind last week’s standing goal on a read-only orders source plus a one-page contribution note (shipping passthrough excluded, marketplace excluded). Sanitize first.
2. Accept the first “contribution dropped” memo as the control. Score three checks: same goal named, same grain, same filters.
3. Restate the calendar-month grain. Walk plan → grain → filter → file. Score the same three checks.
4. Keep both artifacts side by side. Stop if the grain moved in silence.

## Source and goal

| Field | Value |
|---|---|
| Sources | One orders table, about 8,305 fulfilled rows across two complete calendar months, plus a one-page contribution note |
| Standing goal | Monthly contribution on the orders source we already use, marketplace excluded |
| Contrast | Trailing-28-day first attempt vs calendar-month restatement |

## Results

| Retrieval state | Same goal named | Same grain | Same filters |
|---|---|---|---|
| First attempt (trailing 28 days) | 1 | 0 | 1 |
| True rerun (calendar month) | 1 | 1 | 1 |

Fulfilled rows on this run: 4,085 (last week, calendar month) vs 3,760 (first attempt, trailing 28 days) vs 4,220 (true rerun, calendar month). The unlabeled memo said “contribution dropped.” The restated grain named the collision: week replaced month. The reviewer rejected the first file and accepted the second.

Wall-clock for the successful comparison: about 8 minutes (warehouse time excluded). The clock started when the operator opened last week’s standing goal and ended when both plans, both filter lists, and both files sat in one folder.

## What you may cite

- Artifact counts 1/0/1 → 1/1/1, 4,085 vs 3,760 vs 4,220 rows, ~8,305 lines, ~8 min wall-clock, run ID
- First-party aggregate CSV and verify script next to this log (row check only; not a third-party audit)

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that Turing Way / ACM / CISA / NCSC / Stanford / McKinsey / Gartner / NIST / OWASP / WAIC scored this run

## Independent context (not this run)

- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)
- [CISA AI](https://www.cisa.gov/ai)
- [NCSC secure AI guidelines](https://www.ncsc.gov.uk/collection/guidelines-secure-ai-system-development)
- [RFC 4180](https://www.rfc-editor.org/rfc/rfc4180)
- [Google Cloud: What is AI?](https://cloud.google.com/discover/what-is-artificial-intelligence)
- [The Turing Way](https://book.the-turing-way.org/reproducible-research/reproducible-research)
- [ACM artifact review and badging](https://www.acm.org/publications/policies/artifact-review-and-badging-current)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index)
- [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
- [W3C Data Catalog Vocabulary (DCAT)](https://www.w3.org/TR/vocab-dcat-3/)
- [DataCite](https://datacite.org/)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition) (self-described; not independently verified in this log)