ms-ai-architect/docs/r11-pilot-results.md
Kjell Tore Guttormsen e86948a71a docs(ms-ai-architect): R11 — de tre operatørbeslutningene ratifisert og ført inn i kontrakten [skip-docs]
Operatøren fulgte alle tre anbefalingene (2026-08-03). Beslutningene styrer all
nedstrøms fiksing av et offentlig distribuert korpus, så de føres i den SPOREDE
kontrakten, ikke i en økt-transkripsjon.

§5 — O2 RATIFISERT, med rest-sjekk (ikke blankt). Tre betingelser, alle
menneske-bekreftet: (1) setningen påstår strengt mindre, (2) resten bærer ingen
falsk eller misvisende stående implikasjon — lest som en LESER leser den, ikke
som en logiker, (3) ingenting kilden BEKREFTER fjernes. Betingelse 2 og 3 krever
at et menneske leser resten, så O2 er billigere enn O3 (ingen fakta-innhenting)
men ikke mekanisk. §10s throughput-antakelse bør re-måles mot det.

§4a — kontekst-korrespondanse som betingelse 4, og betingelse 5: den
APPLISERBARE klassen er `iso_date` alene. Hånd-verifisert 9/9 mot 0/6 for
number/version. Klassifikatoren fortsetter å rapportere alle typer — det er
målingen — og merker den appliserbare mengden som `o1_recommended`.

§4b — status-synonymtabellen RATIFISERT, snever og LUKKET. Fire rader. Tre
skranker, fordi dette er det ENESTE stedet der verdien som skrives inn i fila
ikke selv står ordrett i quoten: tabellen utvides aldri ved slutning i run time,
fil-tokenet må være en komplett livssyklus-etikett, og verdien som skrives er
den KORPUS-side ekvivalenten med filas egen markup bevart (`**Preview**` →
`**GA**`), aldri den engelske frasen limt inn.

§4s påstand om at invarianten er «deliberately stronger than human review at
scale» er strøket og merket falsifisert, med peker til målingen.

INGEN AV DE TRE ER IMPLEMENTERT. Klassifikatoren aborterer fortsatt
STATUS_SYNONYM og ruter fortsatt alt ikke-O1 til O3. Begge dokumentene sier det
eksplisitt, slik at en senere økt ikke antar at koden allerede følger kontrakten.
2026-08-03 16:37:21 +02:00

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# R11 pilot results — measured, 2026-08-03
**The §10 acceptance measurement of `docs/r11-tiered-fix-design.md`, run against
the live ledger. No KB file was edited and no ledger record was written.**
Instrument: `scripts/kb-eval/lib/fix-op.mjs` (+ `tests/kb-eval/test-fix-op-classify.test.mjs`,
30 tests) driven by `scripts/kb-eval/classify-fix-ops.mjs`. The classifier **is**
the O1 driver with writes disabled — it constructs the swap and checks the §4
invariant, so measurements 1 and 3 come out of the mechanism that would later
touch the corpus, not out of a proxy heuristic.
Artefact: `scripts/kb-eval/data/r11-pilot-classification.json` (untracked,
regenerable; per-flag records so the run can be re-analysed without re-running).
It holds the **pilot** run — `node scripts/kb-eval/classify-fix-ops.mjs --write`.
Every corpus-wide figure below is from `--threshold 1`, and the per-table
reproduce command is stated where it is used.
> **Two different 202s.** This population is 202 flags. §3's "202 flags whose
> claim *and* quote contain a numeric token" is a different 202, measured over
> the full 712-flag population. They are unrelated.
---
## 1. The headline
**Nine provable, correct value swaps exist in the entire 776-flag `not_grounded`
population — 1.2 %.** The machine half of the R11 tiering buys nine edits. Every
other flag needs a human.
| Population | Files | Flags | O1 admitted | O1 hand-verified correct |
|---|---|---|---|---|
| Pilot (`not_grounded` ≥ 7) | 24 | 202 | 2 | 2 |
| Whole `not_grounded` corpus | 218 | 776 | 15 | **9** |
Reproduce: `node scripts/kb-eval/classify-fix-ops.mjs` (pilot) and
`node scripts/kb-eval/classify-fix-ops.mjs --threshold 1` (corpus). The nine are
enumerated with verdicts in appendix A — that hand-verification is the only thing
separating 9 from 15, so it is recorded rather than left in a session transcript.
This is the answer §10 asked for, and it is materially worse than the design
assumed: *"If the split is materially worse than assumed, that is known after one
session rather than after ten."*
## 2. §4 as written is not sufficient — measured, not argued
§4 claims its invariant is *"deliberately stronger than human review at scale."*
It is not. Run exactly as specified over the pilot, it admitted **6 swaps, of
which 4 were wrong** — precision **2/6**:
| Proposed swap | Why it is wrong |
|---|---|
| `30-dagers``24-dagers` | **Unit crossing.** The quote says 24 **hours**. |
| `3000 requests/sekund``50` | **Metric crossing.** The quote is a *query* throttle per index; the claim is an *indexing* rate per replica. |
| `Microsoft Agent 365``Agent 7` | **Identifier mutilated.** The `7` was harvested out of `E7`. |
| `text-embedding-ada-002``ada-2` | **Identifier mutilated.** The `2` came from a dimensions column. |
The defect is structural, not incidental. §4 constrains **where the new value
came from** (verbatim in the cited quote) and **what the edit looks like** (one
line, rest byte-identical). It constrains nothing about whether the two tokens
**denote the same quantity**. Same-type-and-provenance is not same-referent.
### The added condition
`contextCorresponds()` requires the token to sit under **the same label or the
same trailing unit on both sides**. It is deliberately lexical, with **no
translation table**: `dokumenter` is not taught to equal `documents`, because a
synonym table introduces a new fact source and is an operator decision, not an
engineering one. Consequence, measured: a swap is provable essentially only where
the context is language-neutral — a URL, a code sample, a parameter key.
## 3. The condition is necessary but still not sufficient
Corpus-wide the context condition cut 38 admissions to 15. Hand-verifying all 15
splits them cleanly by token type:
Reproduce: `node scripts/kb-eval/classify-fix-ops.mjs --threshold 1`
(the persisted artefact is the **pilot** run — the corpus-wide tables in §1 and §3
come from this threshold-1 run). Per-proposal verdicts: appendix A.
| Token type | Proposals | Correct | Wrong | Unverified | Failure mode |
|---|---|---|---|---|---|
| `iso_date` | 9 | **9** | 0 | 0 | — every one is an `api-version=` bump in a URL or code sample |
| `number` | 5 | 0 | 3 | 2 | `AI-900``AI-901`, `gpt-4o``gpt-5.1o` (×2) |
| `version` | 1 | 0 | 1 | 0 | Java agent `3.7.5``3.4.0` — a downgrade |
A matching identifier *prefix* (`AI-`, `gpt-`) satisfies the context condition
while the digit is part of a **name**, not a quantity. **Only `iso_date` survives
hand-verification**, and the report marks it as the sole recommended class
(`o1_recommended`). `number` and `version` proposals must not be applied.
## 4. The four §10 measurements
1. **O1 / O2 / O3 split.** O1 = 2/202 on the pilot (9/776 corpus-wide, safe
class only). O2 is **undetermined** — it does not exist as a class until §5 is
ratified, so every non-O1 item is O3 by design. O3 ≥ 200/202.
2. **How much of R8 resolves as O2.** **Not answered, and not answerable by
machine.** R8 is 87/202 on the pilot (366/776 corpus-wide) and yields **zero**
O1. Of the pilot's 87, **46 are structural enumerations** — the O2 candidate
shape. Which of them subtract cleanly turns on the judge's prose `reason`, and
no regex reads prose. This needs prose classification (see §6).
3. **O1 abort rate: 99 % (200/202).** Typed, because "99 %" alone is not
actionable:
| Code | Pilot | Class |
|---|---|---|
| `MULTI_PART_CLAIM` | 96 (47.5 %) | intrinsic — not a value swap at all |
| `MULTI_VALUE_TOKEN` | 29 | intrinsic |
| `NO_VALUE_TOKEN` | 28 | intrinsic — the claim asserts prose |
| `STATUS_SYNONYM` | 15 | **operator question** (§6.2) |
| `NOT_VERBATIM` | 15 | intrinsic |
| `LOCATOR_AMBIGUOUS` | 7 | **fixable engineering gap** |
| `MULTI_REPLACEMENT` | 6 | intrinsic |
| `CONTEXT_MISMATCH` | 4 | intrinsic — these are the 4 wrong edits above |
**Only 7 of 200 aborts (3.5 %) are a fixable engineering gap.** More locator
engineering cannot move the O1 number materially.
4. **Review throughput per class. NOT MEASURED.** It requires human review
sessions, which have not happened. Recording it as measured would be false.
## 5. Two further findings
**F1 — subtraction can leave a misleading remainder.** §5 argues O2 *"cannot
introduce a new error, because it asserts strictly less."* True of the sentence,
false of the reader's inference. Real case: *"Deep Research tool (o3-deep-research
+ Bing) er GA (juni 2025)"* where the source says the tool is **deprecated**.
Subtracting `er GA (juni 2025)` leaves the tool standing in a list of available
tools. Strictly less asserted; still misleading. O2 therefore still requires a
human to look at the remainder — cheaper than O3 (no fact-finding) but not
mechanical.
**F2 — subtraction can destroy true information.** Real case: a list of seven
prebuilt model IDs where the judge found six correct and `prebuilt-check` wrong —
the real ID is `prebuilt-check.us`. Subtraction drops a model that **exists**; the
correct fix is a swap. Subtraction is not the safe default everywhere.
**F3 — `disposition` carries zero information.** It is `outdated` on **202 of
202** flags. `docs/r11-flag-format-2026-07.md` specifies `not_grounded →
{outdated, wrong}` with *"the human assigns which at R11"*, but the pass
hard-assigned `outdated`. Do not use it as a classifier signal. Spec/data
divergence, recorded.
**F4 — claims are not file text.** `claim` is an LLM-extracted, translated
restatement: **0 of 202** match their file line verbatim, and 188 share no 40-char
run with it. For table claims, `line` points at the **header**, not the value.
This is why the locator exists at all, and why it searches the enclosing block
rather than the line.
## 6. Operator decisions — ALL THREE RATIFIED 2026-08-03
All three were put to the operator with the recommendations below and **all three
were accepted as recommended**. The contract text now lives in
`docs/r11-tiered-fix-design.md` §4a/§4b/§5; this section records what was asked
and what the answer was.
**None of the three is implemented yet.** The classifier still aborts
`STATUS_SYNONYM` and still routes every non-O1 item to O3. A later session builds
against the ratified contract — it must not assume the code already honours it.
1. **Ratify O2 (§5)?****RATIFIED, with the remainder check** (not as a blanket
rule), exactly as F1/F2 above argued. Contract: design doc §5, three
conditions, human-confirmed.
2. **Amend §4 with a ratified synonym table?****RATIFIED, narrow and closed.**
Contract: design doc §4b — four label rows, closed table, complete-label-only,
corpus-side value with the file's own markup preserved. Unlocks up to 54
corpus-wide flags.
3. **Is O1 worth building at all?****KEPT, locked to `iso_date`.** Contract:
design doc §4a condition 5 — a driver may apply `iso_date` proposals and must
never apply `number` or `version` ones. Nine edits corpus-wide.
## 7. What this does not change
The design's core reading survives: the expensive half (locating the source,
reading it, extracting the deciding passage) was already paid for by the judge
pass, and §7's freshness re-fetch per distinct URL is untouched. What the pilot
falsifies is the assumption that a meaningful share of that evidence converts into
machine-provable edits. It does not. R11 is a human review programme with a
nine-item machine assist, and its leverage lies entirely in the O2 decision.
---
## Appendix A — the 15 admitted proposals, hand-verified
Every proposal the classifier (§4 + context condition) admitted over the whole
`not_grounded` population, with the verdict that produced §3's table. A later run
that admits a 16th can diff against this list; without it, "9 of 15" is an
unreproducible claim.
| # | File:line | Swap | Type | Verdict |
|---|---|---|---|---|
| 1 | `agent-orchestration/agent-evaluation-testing-frameworks.md:56` | `4.1``5` (`gpt-4.1-mini``gpt-5-mini`) | number | **unverified** — model identifier; the result is a real model name, but not checked against the source. Not applied. |
| 2 | `api-management/logging-analytics-ai-traffic.md:49` | `2023-09-01``2025-09-01` | iso_date | **correct** — ARM `loggers@` api-version bump |
| 3 | `azure-ai-services/translator-document-translation.md:162` | `40``10` (MB) | number | **unverified** — matched on the unit `MB`, but sync/async limits differ; metric-crossing risk. Not applied. |
| 4 | `monitoring-observability/log-analytics-kql-ai-queries.md:617` | `2025-09-01``2026-04-01` | iso_date | **correct**`api-version=` inside a KQL string literal |
| 5 | `responsible-ai/responsible-ai-training-awareness.md:77` | `900``901` (`AI-900``AI-901`) | number | **wrong** — certification identifier mutilated |
| 6 | `bcdr/cost-analysis-dr-configurations.md:120` | `4``5.1` (`GPT-4o``GPT-5.1o`) | number | **wrong** — model identifier mutilated |
| 7 | `bcdr/multi-region-azure-openai-deployment.md:316` | `2024-06-01``2024-10-01` | iso_date | **correct**`api-version=` in a management URL |
| 8 | `ai-security-engineering/ai-prompt-shield-network.md:309` | `2024-09-01``2024-09-15` | iso_date | **correct** — Content Safety api-version |
| 9 | `ai-security-engineering/content-safety-filter-calibration.md:277` | `2024-10-01``2024-10-21` | iso_date | **correct** — Azure OpenAI api-version in a curl sample |
| 10 | `ai-security-engineering/jailbreak-prevention-production.md:305` | `2024-09-01``2024-09-15` | iso_date | **correct** — Content Safety api-version in a curl sample |
| 11 | `cost-optimization/observability-cost-reduction.md:114` | `3.7.5``3.4.0` (Java Agent) | version | **wrong** — a downgrade; the quote's version is not the claim's referent |
| 12 | `cost-optimization/vector-storage-cost-optimization.md:266` | `2025-09-01``2026-04-01` | iso_date | **correct** — AI Search api-version |
| 13 | `cost-optimization/vector-storage-cost-optimization.md:318` | `2024-02-01``2024-10-21` | iso_date | **correct** — embeddings api-version |
| 14 | `performance-scalability/response-chunking-strategies.md:56` | `4``5.1` (`gpt-4o``gpt-5.1o`) | number | **wrong** — model identifier mutilated |
| 15 | `performance-scalability/token-per-second-optimization.md:295` | `2024-12-01``2025-01-01` | iso_date | **correct** — Azure OpenAI api-version |
**9 correct · 4 wrong · 2 unverified.** All nine correct are `iso_date`; every
wrong one is a digit inside a product, model or certification identifier, where a
matching prefix (`AI-`, `gpt-`, `Agent `) satisfies the context condition while
the digit is part of a name rather than a quantity. The two unverified are also
`number` and are excluded by the same class rule — verifying them costs a source
fetch each and would move the total to at most 11.