# Desk log ADR-ANR-20260825

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/analytical-report  
**Run ID:** `ADR-ANR-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 generating a weekly recognized-revenue pack with an unnamed grain, then regenerating after the grain and the cited file were named in the same paragraph as the number. It is **not** a named-logo customer case, a vendor bake-off, or an OGC / GDAL / Stanford / McKinsey experiment.

## Four-step method (reproducible)

1. Bind a weekly finance-adjacent goal on a read-only source plus a one-page definition note. Sanitize first.
2. Request a Markdown memo, a PDF copy, two charts, a CSV of SKUs that moved more than 8% versus plan, and a call on whether to reopen pricing.
3. Score three checks: header names the grain, memo cites the file, SQL matches the CSV.
4. Re-run the same goal with an explicit “name the grain in the header and name the file in the same paragraph as the number” instruction. Compare the two packs.

## Source and goal

| Field | Value |
|---|---|
| Sources | One weekly fact table, about 14,800 order lines, plus a one-page definition note locking “recognized revenue” and “test account” |
| Standing goal | Weekly recognized-revenue memo: SKU grain, booking date, test accounts excluded, with SQL, an exceptions CSV, and a call on pricing |
| Contrast | Unnamed grain (first pack) vs named grain (second pack) |

## Results

| Retrieval state | Header names grain | Memo cites file | SQL matches CSV |
|---|---|---|---|
| Unnamed grain (first pack) | 0 | 1 | 0 |
| Named grain (second pack) | 1 | 1 | 1 |

Wall-clock for the successful re-run: 10 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when both packs sat side by side with the header, the cited CSV, and the SQL open.

## What you may cite

- Artifact counts 0/1/0 → 1/1/1, ~14,800 order lines on this run, ~10 min wall-clock, run ID

## What you may not claim

- Customer uplift %, official EEAT score, named-logo case, or that OGC / GDAL / W3C / ISO / NIST / Stanford / McKinsey / Gartner / OWASP / WAIC scored this run

Companion files: [aggregate CSV](https://infinisynapse.com/blog-media/analytical-report/downloads/aggregate-ADR-ANR-20260825.csv) · [verify script](https://infinisynapse.com/blog-media/analytical-report/downloads/verify-ADR-ANR-20260825.py). Last verified: 2026-08-29.

## Independent context (not this run)

- [OGC Simple Feature Access](https://www.opengeospatial.org/standards/sfa) (retrieved 2026-08-29)
- [GDAL](https://gdal.org/) (retrieved 2026-08-29)
- [W3C PNG specification](https://www.w3.org/TR/png/) (retrieved 2026-08-29)
- [ISO 32000-2 (PDF 2.0)](https://www.iso.org/standard/63534.html) (retrieved 2026-08-29)
- [NIST SP 800-63B](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-63b.pdf) (retrieved 2026-08-29)
- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-29)
- [McKinsey State of AI](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) (retrieved 2026-08-29)
- [Gartner Peer Insights — Analytics and BI Platforms](https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms) (retrieved 2026-08-29)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) (retrieved 2026-08-29)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/) (retrieved 2026-08-29)
- [W3C DCAT](https://www.w3.org/TR/vocab-dcat-3/) (retrieved 2026-08-29)
- [DataCite](https://datacite.org/) (retrieved 2026-08-29)
- First-party homepage recognition only: [2026 WAIC Future Tech OPC Excellence Award](https://infinisynapse.com/#recognition) (self-described; not independently verified here)