Correct benchmark wording and add privacy link

README.md

@@ -30,19 +30,19 @@ pack where every answer is derived from the artifact itself and machine-checked.
   deterministic items score 1.0 on gold / 0.0 on abstention; automated answer-leak scan found 0/10,251 hits; all tasks load
   against the real `verifiers` v1 framework; 29 agentic challenges ship Harbor-format task packages,
   built + scored in real Docker containers with reward-chain gold and wrong-answer tests passing; each binary was also checked with 24 single-character mutations that scored zero
-- **Baseline:** a small local open-weight model mini-eval scored `5/23` (22%) on selected static deterministic items; see `EVAL_RESULTS.md` for conditions. Headroom is the feature — per-buyer calibration is part of the paid pilot path.
+- **Baseline:** a small local open-weight model mini-eval scored `5/23` (22%) on selected static deterministic items; see `EVAL_RESULTS.md` for conditions. Frontier reference: Claude Opus 5.5 with shell and file-read tools solved all 29 public agentic environments (145/145 attempts, 2026-10-29; non-isolated upper bound, see BENCHMARK-REPORT.md), so the public tier is warm-up level. Private families are built fresh to a buyer's target difficulty and accepted on the buyer's own reruns.
 
 ## Contents of this repo (free sample)
 | file | what |
 |---|---|
 | `DATASHEET.md` | full composition table, guarantees, known limits, positioning vs existing work |
 | `sample_free.jsonl` | 9 items — one per family |
-| `EVAL_RESULTS.md` | baseline eval methodology + results (incl. measured frontier reference: Opus 5.5 single-shot ~58% on ID items; agentic flag-hunts pass@1 3/3 with tools — reward reachable, not free) |
+| `EVAL_RESULTS.md` | baseline eval methodology + results (incl. a frontier reference: Opus 5.5 single-shot ~58% on ID items) |
 | `EVAL_RESULTS-passk.md` | full 29-env agentic pass@5 result for Claude Opus 5.5 with conditions and caveats |
 | `BENCHMARK-REPORT.md` | benchmark report for the public agentic environments, including intervals, method notes, and known limits |
 | `VERIFICATION-DOSSIER-PUBLIC.md` | public proof summary with measured checks and known caveats |
 | `verification_kit/` | sample-level grader, wrong-answer, key-sensitivity, and leak-check scripts; see `verification_kit/README.md` for limitations |
-| `environment/src/binary_reasoning_v1/grading.py` | minimal grader module used by the verification kit (full runnable environment is on the Prime Hub package) |
+| `environment/src/binary_reasoning_v1/grading.py` | minimal grader module used by the verification kit (the runnable environment with a 100-item open sample is on the Prime Hub) |
 | `harbor_pilot_29.zip` | all 29 agentic Harbor task packages (task.toml + instruction + Dockerfile + verifier + solution scripts and solution explanations), ready for `harbor run` or a free HUD import ([direct download](https://huggingface.co/datasets/S3RL4/binary-reasoning-v1/resolve/main/harbor_pilot_29.zip)) |
 
 Also live on the Prime Intellect Environments Hub: `s3rl4/binary-reasoning-v1`
@@ -52,6 +52,7 @@ The **full pack** (10,251 items + runnable verifiers v1 environment + Harbor pac
 binaries & sources) lives in the gated companion repo:
 [S3RL4/binary-reasoning-v1-full](https://huggingface.co/datasets/S3RL4/binary-reasoning-v1-full) —
 request access; access is reviewed on request. Commercial licensing and custom taskset builds: samueljanttila@gmail.com.
+Privacy: PRIVACY.md
 
 ## License
 All rights reserved pending commercial license; research evaluation use granted for the free sample.