# Desk log KB-CONTENT-MAY-20260822

**Status:** First-party sanitized composite; not a customer extract, independent benchmark, third-party dataset, certification, media report, or endorsement  
**Page:** https://infinisynapse.com/en/blog/knowledge-base-content  
**Run ID:** `KB-CONTENT-MAY-20260822`  
**Date:** 2026-08-22  
**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 two-page first pack—field dictionary plus May’s signed close—on a sanitized orders extract. It documents the six-step method, input boundary, retrieved-pack counts, and artifact inventory. The companion [aggregate CSV](https://infinisynapse.com/blog-media/knowledge-base-content/downloads/aggregate-KB-CONTENT-MAY-20260822.csv) contains only the published aggregate rows—not the 10,100-row extract. The companion [verify script](https://infinisynapse.com/blog-media/knowledge-base-content/downloads/verify-KB-CONTENT-MAY-20260822.py) checks those published rows only. No independent reproduction was known as of 2026-08-28.

## Six-step method (reproducible)

1. Pick one authorized source. Prefer a replica or sanitized extract.
2. Write two pages only: a field dictionary and one signed report.
3. Upload the pair, then bind it to that source. Binding is a separate action from upload.
4. Ask one goal with that source selected—not a request for a SQL snippet.
5. Inspect the artifacts and confirm a code row and signed footnote were retrieved.
6. Ask the same goal next week. A successful replay keeps the same pair.

## Source and goal

| Field | Value |
|---|---|
| Source | Sanitized 10,100-row orders extract |
| Source grain | One row per sanitized order record |
| Source version | Fixed desk extract dated 2026-08-22 |
| Collision | Unbound run treated every `status = 3` as active and used invoice − COGS |
| Pack metadata | Dictionary plus May signed close; owner: InfiniSynapse Data Team |
| Bind mapping | Two-page pack ↔ authorized orders extract |
| Retrieval configuration | Bound-pack retrieval; configuration values not published |
| Unbound baseline | Same goal with no two-page bind |
| Goal asked twice | “What is June contribution on active accounts?” |

## Retrieved-pack counts

| Retrieval state | Active-account rule used | Margin rule used | Retrieved notes / reports / exceptions |
|---|---|---|---|
| Unbound | every `status = 3` | invoice − COGS | 16 / 17 / 14 |
| Bound two-page pack | `status = 3` minus test accounts | May fee exclusion | 16 / 18 / 14 |

The extra retrieved report (17 → 18) is the May close. Wall-clock for the bound rerun was 12 minutes (warehouse time excluded).

## Task artifacts

| Retrieval state | SQL | Memo | Chart | CSV | Both pages cited |
|---|---|---|---|---|---|
| Unbound | 1 | 0 | 0 | 0 | No |
| Bound two-page pack | 1 | 1 | 2 | 1 | Yes |

## Minimum disclosure for independent replication

Disclose source grain, row count, and version; dictionary and report versions; document approval status; bind mapping; retrieval configuration; query, SQL, and retrieved passages; all results and failures; run time; and any commercial conflict of interest. Publish confirming and conflicting results. Publish the exact two documents tested.

## What you may cite

- Grain, collision, 16 / 17 / 14 versus 16 / 18 / 14, artifact counts 1 / 1 / 2 / 1, both pages cited No → Yes, run ID, ~12 min wall-clock

## What you may not claim

- Customer uplift, named-logo case, independent benchmark, certification, raw dataset, official EEAT score, or external validation

## External context (not validation of this run)

- [Stanford HAI AI Index](https://hai.stanford.edu/ai-index) (retrieved 2026-08-28)
- [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) (retrieved 2026-08-28)
- [NIST Privacy Framework](https://www.nist.gov/privacy-framework) (retrieved 2026-08-28)
- [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/) (retrieved 2026-08-28)
- [ISO/IEC 27001](https://www.iso.org/isoiec-27001-information-security.html) (retrieved 2026-08-28)
- [ISO/IEC 11179-3](https://www.iso.org/standard/78914.html) (retrieved 2026-08-28)
- [W3C Data Catalog Vocabulary](https://www.w3.org/TR/vocab-dcat-3/) (retrieved 2026-08-28)