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Update EVAL_RESULTS-frontier.md: difficulty wording and caveats

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  # EVAL_RESULTS-frontier.md — reference scores from a hosted frontier agent (2026-10-29)
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- Harness: Claude Code CLI v2.1.310, model alias `opus` → canonical **claude-opus-5-5** (Samuel's Max-20x subscription,
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- granted 2026-10-29, DECISIONS #12). Every call: fresh session (`--no-session-persistence`). Cost basis in CLI JSON is
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- list-price equivalent; billing is the flat subscription. Date: 2026-10-29 ~10:3x EET.
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- ## A) Single-shot, NO tools — deterministic ID families (n=12 sample, seed 20261029)
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  func_id_exact ×10 + func_id_mc ×2 from items.jsonl, verbatim instructions/inputs/options; graded by OUR grading.py:
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  **7 correct / 11 answered / 1 safeguard-flagged ([cyber] false-positive) ≈ 58%.**
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  Wrong answers were plausible-but-wrong names (e.g. `symbolize_addresses` vs actual) — exactly the failure mode
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  ## What this means (honest reading)
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  UPDATE same day: full pass@5 on all 29 envs now published — see **EVAL_RESULTS-passk.md** (Opus 5.5: 29/29 envs,
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  145/145 attempts). Section B above was the pilot of that harness; its "3/3" is subsumed by the full result.
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- - CONFIRMS our published claims: single-shot frontier is NOT reliable on binary ID (58% here; our local-model 0/5 is
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  a different, weaker regime — we keep both numbers separate).
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- - CONFIRMS the flag-hunt envs are agent-SOLVABLE with tools in ~1 min → good RL signal: reward reachable but not free.
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  - Our edge is NOT "frontier can't solve it" — it is **verified deterministic oracles at scale (10,251 items / 29 envs /
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  6 ISAs+PE), zero-leak construction, and per-item provenance** — exactly what DataVendor/HUD quality gates check.
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- - Buyer-facing use: we can now quote frontier reference scores unprompted (quality-gate pre-answer), and offer the
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- FREE pre-baseline: we run YOUR model on a 10-env probe with this same harness before you spend anything.
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- - Operational gotchas for re-runs: `[cyber]` safeguard sometimes false-flags dense disassembly batches → one item per
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- fresh session beats big batches; PYTHONIOENCODING=utf-8 for answer printing; `--allowedTools ""` = true no-tools mode.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # EVAL_RESULTS-frontier.md — reference scores from a hosted frontier agent (2026-10-29)
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+ Harness: hosted frontier agent session, model alias `opus` → canonical **claude-opus-5-5**. Every call used a fresh
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+ session. Date: 2026-10-29 ~10:3x EET.
 
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+ ## A) Single-shot, no tools requested — deterministic ID families (n=12 sample, seed 20261029)
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  func_id_exact ×10 + func_id_mc ×2 from items.jsonl, verbatim instructions/inputs/options; graded by OUR grading.py:
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  **7 correct / 11 answered / 1 safeguard-flagged ([cyber] false-positive) ≈ 58%.**
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  Wrong answers were plausible-but-wrong names (e.g. `symbolize_addresses` vs actual) — exactly the failure mode
 
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  ## What this means (honest reading)
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  UPDATE same day: full pass@5 on all 29 envs now published — see **EVAL_RESULTS-passk.md** (Opus 5.5: 29/29 envs,
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  145/145 attempts). Section B above was the pilot of that harness; its "3/3" is subsumed by the full result.
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+ - CONFIRMS our published claims: single-shot no-tools-requested frontier is NOT reliable on binary ID (58% here; our local-model 0/5 is
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  a different, weaker regime — we keep both numbers separate).
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+ - CONFIRMS the flag-hunt envs are agent-SOLVABLE with tools in ~1 min → warm-up/oracle checks, not strong RL signal as shipped.
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  - Our edge is NOT "frontier can't solve it" — it is **verified deterministic oracles at scale (10,251 items / 29 envs /
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  6 ISAs+PE), zero-leak construction, and per-item provenance** — exactly what DataVendor/HUD quality gates check.
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+ - Buyer-facing use: we can quote frontier reference scores unprompted (quality-gate pre-answer). A buyer's own model can be run on a 10-env probe as a quoted calibration step before purchase.
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+
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+ ## C) Hard-trial agentic spot check — 20 sampled hard items (2026-10-30)
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+
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+ Method: Claude Opus 5.5 through a hosted frontier agent, fresh session per attempt, Bash/Read tools
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+ allowed on the Windows host with commands executed via WSL Ubuntu24. Sample: a fixed list, the first two task IDs in 10
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+ of the 19 hard-trial families (20 of 99 tasks; not randomized): `argv_solve`, `pe_output_predict`, `glibc_iconv`,
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+ `systemd_vercmp`, `mesa_sym_chain`, `qemu_user_behavior`, `vm_trace`, `stripped_fn_bounds`, `plt_got_chain`, and
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+ `printf_roundhalf`. Initial plan was two attempts per task; extra attempts were added only for tasks that looked mixed
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+ in the first harness.
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+
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+ Containment: non-isolated host run. The pack directory, including the hard-tier gold file, was readable by the agent.
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+ The prompt told it not to open answer metadata, but only each run's final message was kept, so the logs cannot rule out
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+ gold-file access. `stripped_fn_bounds` artifacts include an unstripped twin (public dossier Known limitations). Treat these pass rates as an
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+ upper bound.
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+
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+ First harness result: `39/43` attempts passed; all `20/20` tasks passed at least once. The four misses (3 of 4 attempts
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+ on `brv-hrd-11`, 1 of 3 on `brv-hrd-16`) had the correct message line but reported `rc=0`. That points to exit-code
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+ capture through the outer Windows shell (`$?` / WSL quoting), not a wrong gold answer: direct WSL bash scripts
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+ reproduce the stored gold outputs (`rc=1` and `rc=255`). A corrected harness that instructs the agent to put the exact
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+ command in a temporary WSL bash script was then rerun for the same 20 tasks, two attempts each: **40/40 attempts
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+ passed**.
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+
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+ Family counts after the corrected rerun (n=4 attempts = 2 tasks × 2 correlated attempts; Wilson intervals assume
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+ independent Bernoulli trials and are wide at this sample size):
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+
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+ | family | pass rate | Wilson 95% |
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+ |---|---:|---:|
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+ | argv_solve | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | glibc_iconv | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | mesa_sym_chain | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | pe_output_predict | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | plt_got_chain | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | printf_roundhalf | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | qemu_user_behavior | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | stripped_fn_bounds | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | systemd_vercmp | 4/4 = 100.0% | [51.0%, 100.0%] |
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+ | vm_trace | 4/4 = 100.0% | [51.0%, 100.0%] |
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+
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+ Honest reading: these 10 sampled families are **practice level for a frontier agent**: each family's Wilson lower bound
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+ (51%) is above the planned 2–30% RL band, and the task-level `20/20` gives a pooled lower bound of about 84%. The other
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+ 9 families (`bitmath`, `deflate_bytes`, `fnv_hash`, `glibc_ldtrace`, `ldl_trace_x86`, `posix_collate`, `rpath_runpath`,
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+ `signal_rc`, `tz_fold_gap`) have not been run agentically. The local 3-bit-quantized open-weight `14/99` number (text-only prompt with no binary/file access, no tools, single-turn, temperature 0.7, max_tokens=600) remains headroom evidence, not an agentic difficulty claim. To sell hard tasks as RL-band material, families need to be made
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+ harder for agentic use: remove the direct "run the exact command" shortcut, add multi-step or cross-binary goals,
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+ strip/obfuscate more, and require answers that are not printed by a single reference command.