frontier reference scores (Opus 5.5 measured 2026-10-29)

EVAL_RESULTS.md

@@ -23,3 +23,11 @@ llama.cpp-style OpenAI endpoint on this PC). Sample: 23 stratified deterministic
 ## What we will NOT claim
 No "SOTA" or cross-model leaderboard until run on 2-3 hosted models (Prime Inference or
 any OpenAI-compatible key makes this a 10-minute job — same harness, swap URL/model).
+
+## UPDATE 2026-10-29: first hosted frontier numbers measured (Claude Code Opus 5.5)
+See **EVAL_RESULTS-frontier.md**: single-shot no-tools MCQ sample 7/12 (~58%, incl. 1 safeguard-flag),
+agentic flag-hunt pass@1 3/3 correct with tools in ~70-80 s. Honest reading: ID-from-stripped-binaries is
+still unreliable for frontier single-shot (our local 22% vs their ~58% on different samples — both far from
+reliable); flag-hunts are TOOL-SOLVABLE, which is what makes them good RL signal (reward reachable).
+The "no cross-model leaderboard" line above is now partially unblocked (one hosted model measured);
+still no SOTA claim. Re-runs use --no-session-persistence per item ([cyber] safeguard false-flags batches).