| # binary-reasoning-v1 — baseline eval (2026-10-28) |
|
|
| Model: a small local open-weight reasoning model (quantized; temp 0, ≤2500 tok, served through an OpenAI-compatible endpoint). Sample: 23 stratified deterministic items |
| (no judge needed): 10 func_id_exact, 8 func_id_mc, 5 crossarch_equivalence. Graded by our own |
| `grading.py` (the same code the Hub environment uses). |
| |
| | family | score | note | |
| |---|---|---| |
| | func_id_exact | 1/10 = 10% | guessing internal symbol names from ~608-lib universe | |
| | func_id_mc | 2/8 = 25% | at random-guess baseline (4 options) | |
| | crossarch_equivalence | 2/5 = 40% | includes easy frim/frip pairs + hard distractors | |
| | **TOTAL** | **5/23 = 22%** | | |
|
|
| ## Interpretation (honest) |
| - A small local quantized model is at or near chance level on this pack. Treat it as a weak-model sanity baseline, |
| not evidence that the pack is frontier-hard or calibrated for RL. |
| - Sample n=23 is small; treat as a sanity baseline, not a leaderboard number. |
| - Caveats: one local model only; some items graded from reasoning text when final content |
| was truncated (we note it rather than hide it). Reproduce with `mini_eval_win.py` |
| (harness in this folder; raw per-item output in `EVAL_raw.txt`). |
|
|
| ## 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 Opus 5.5) |
| See **EVAL_RESULTS-frontier.md**: single-shot no-tools ID sample 7/12 (10 `func_id_exact` + 2 `func_id_mc`; ~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); the flag-hunts were tool-solvable in a non-isolated run, so they are treated as warm-up/oracle checks rather than strong RL signal as shipped. |
| The "no cross-model leaderboard" line above is now partially unblocked (one hosted model measured); |
| still no SOTA claim. Re-runs used a fresh session per item ([cyber] safeguard false-flags batches). |
| |
