# Desk log MMA-WIMD-20260822

**Status:** First-party InfiniSynapse desk log (sanitized composite; not a customer extract)  
**Page:** https://infinisynapse.com/en/blog/what-is-multimodal-data  
**Run ID:** `MMA-WIMD-20260822`  
**Date:** 2026-08-22 (Saturday)  
**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 file pile with no grain versus two types at SKU-week. It is **not** a named-logo customer case, a vendor bake-off, or an NREL / OSTI / NIST experiment.

## Four-step method (reproducible)

1. Authorize the live shipments table and the signed delivery addendum. Sanitize first.
2. Bind SKU-week, the window clause, and the late-flag column.
3. Ask one goal: at SKU-week, do signed windows match late flags, and which SKUs sit outside the addendum?
4. Open the plan, cited clauses, and filtered SKUs. Re-ask the same goal from a clean seat.

## Source and goal

| Field | Value |
|---|---|
| Sources | Sanitized 16-page delivery addendum + 37,000-row shipments replica |
| Standing goal | At SKU-week grain, do signed windows match late flags? |
| Contrast | File pile (no grain) vs two types, one grain |

## Results

| Retrieval state | Cited clauses opened | SKUs outside window located | Same-day re-ask possible |
|---|---|---|---|
| File pile (no grain) | 0 | 0 | 0 |
| Two types, one grain | 1 | 1 | 1 |

Wall-clock for the successful shared-grain rerun: 8 minutes (warehouse time excluded). The clock started when the operator opened the standing goal and ended when both folders sat side by side with the cited clauses and the filtered SKUs open.

## What you may cite

- Artifact counts 0/0/0 → 1/1/1, 16-page addendum + 37,000-row shipments on this run, ~8 min wall-clock, run ID

## What you may not claim

- Customer uplift %, a 40% cleaner late list, official EEAT score, named-logo case, or that NREL / OSTI / NIST / Gartner / WAIC scored this run

## Independent context (not this run)

- [NREL research](https://www.nrel.gov/research/) · [NREL data](https://data.nrel.gov/) (retrieved 2026-08-29)
- [Office of Scientific and Technical Information](https://www.osti.gov/) (retrieved 2026-08-29)
- [OSTI Data Explorer](https://www.osti.gov/dataexplorer)
- [OSTI bibliographic records](https://www.osti.gov/biblio)
- [OSTI Pages](https://www.osti.gov/pages)
- [U.S. Energy Information Administration](https://www.eia.gov/) · [EIA Open Data](https://www.eia.gov/opendata/) (retrieved 2026-08-29)
- [DataCite](https://datacite.org/) (retrieved 2026-08-29)
- [ISO/IEC 23053](https://www.iso.org/standard/74438.html) (retrieved 2026-08-29)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) (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)

## Machine-readable aggregate

- [aggregate-MMA-WIMD-20260822.csv](./aggregate-MMA-WIMD-20260822.csv)
- [verify-MMA-WIMD-20260822.py](./verify-MMA-WIMD-20260822.py)