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12 changes: 6 additions & 6 deletions BENCHMARKS.md
Original file line number Diff line number Diff line change
Expand Up @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains.
### Public numeric evidence registry

Every exact public aggregate retained below comes from the checked-in, public-safe
[`offline-fixtures-release-review-20261025.json`](docs/benchmark-evidence/offline-fixtures-release-review-20261025.json) artifact. Its
[`offline-fixtures-release-review-20261026.json`](docs/benchmark-evidence/offline-fixtures-release-review-20261026.json) artifact. Its
SHA-256 is
`641299111434f59def9a1b9e48059deeef13c5fbda6cdb86af7d2e0c62e24cb1`, also recorded in the
`1d44ccba3aa08c036f6824bcce7ba4904b8d7228587433b8ffdcc472ecb5bfd5`, also recorded in the
adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data,
or per-record content fingerprints.

The fixture-suite digest is
`8b6946dadbaf865346fa1489ae04c4b482c94d00931a936ac2cb802b1d561274`. The artifact defines
`052f0cddb337ab9d91ced7c65c08418bfe4d181eb1a9412010ec7f6a22e555e6`. The artifact defines
the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID
also binds its exact command through `sha256(UTF-8 exact command)`:

Expand Down Expand Up @@ -133,7 +133,7 @@ retrieval-quality improvement. It does not qualify browser behavior, hosted serv
external models, or provider billing. The registered artifact was produced with:

```bash
python -m scripts.export_offline_evidence --output docs/benchmark-evidence/offline-fixtures-release-review-20261025.json
python -m scripts.export_offline_evidence --output docs/benchmark-evidence/offline-fixtures-release-review-20261026.json
```

The earlier release-review predecessors,
Expand Down Expand Up @@ -198,13 +198,13 @@ grounded checks in separate panels; provider billing and MCP transport are not m
the SVG and matching PNG with:

```bash
python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-release-review-20261025.json --output docs/images/context-efficiency.svg --png-output docs/images/context-efficiency.png
python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-release-review-20261026.json --output docs/images/context-efficiency.svg --png-output docs/images/context-efficiency.png
```

The companion examples are also generated from that artifact with:

```bash
python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-release-review-20261025.json --output docs/images/evidence-backed-agent-examples.svg --png-output docs/images/evidence-backed-agent-examples.png
python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-release-review-20261026.json --output docs/images/evidence-backed-agent-examples.svg --png-output docs/images/evidence-backed-agent-examples.png
```
The historical-to-executable mapping is in
[`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md).
Expand Down
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ Connect a coding agent over MCP with the [agent setup guide](https://github.com/
The current registered artifact contains three deterministic offline fixture runs. It separates context size, retrieval quality, and grounded decision checks; these small fixtures do not establish general task performance.

<p align="center">
<img src="https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/99af3855bd6b685cbac4a4489b44b3c374129053/docs/images/context-efficiency.svg" alt="Three registered offline fixtures: structure-aware chunking reduced mean retrieved context from 740.3 to 214.3 tokens per question (71.1%, 18 questions); the serialized JSON-shape proxy fell from 24,590 to 11,138 tokens across 26 payload samples and 260 recalls. Candidate and packed retrieval quality (Recall@5, Hit@5, and answer-token recall) are shown separately (each 1.000). Grounded checks show 5/5 answerable queries grounded and 6/6 abstention queries rejected, including a 1/1 quarantined-evidence probe; 11/11 decisions were correct. MCP transport and provider billing were not measured. Artifact SHA-256 prefix 641299111434; see the benchmark guide for the full checksum." width="100%">
<img src="https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/99af3855bd6b685cbac4a4489b44b3c374129053/docs/images/context-efficiency.svg" alt="Three registered offline fixtures: structure-aware chunking reduced mean retrieved context from 740.3 to 214.3 tokens per question (71.1%, 18 questions); the serialized JSON-shape proxy fell from 24,590 to 11,138 tokens across 26 payload samples and 260 recalls. Candidate and packed retrieval quality (Recall@5, Hit@5, and answer-token recall) are shown separately (each 1.000). Grounded checks show 5/5 answerable queries grounded and 6/6 abstention queries rejected, including a 1/1 quarantined-evidence probe; 11/11 decisions were correct. MCP transport and provider billing were not measured. Artifact SHA-256 prefix 1d44ccba3aa0; see the benchmark guide for the full checksum." width="100%">
<br>
<sup>Three offline fixtures separate context reduction, candidate and packed retrieval quality, and grounded behavior. The chart shows the artifact checksum prefix; see the benchmark guide for the full checksum and reproduction steps.</sup>
</p>
Expand Down
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