Update environment/README.md: difficulty wording and caveats
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environment/README.md
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@@ -34,7 +34,7 @@ built + scored in real Docker containers: 29/29 (gold → reward 1, wrong answer
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## Measured difficulty (honest)
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- Agentic 29: Claude Opus 5.5 (tools: bash+read) solved 29/29 envs, 145/145 attempts, byte-exact
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vs gold — that tier is warm-up level for a frontier agent; full table in EVAL_RESULTS-passk.md.
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- Open-weight baseline (local qwen3.8, single-shot): 62% on
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Datasheet + full evaluation results: https://huggingface.co/datasets/S3RL4/binary-reasoning-v1
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Canary for contamination checks: RE-Lab-brv-2026-10-29-8c1e4f7a
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## Measured difficulty (honest)
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- Agentic 29: Claude Opus 5.5 (tools: bash+read) solved 29/29 envs, 145/145 attempts, byte-exact
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vs gold — that tier is warm-up level for a frontier agent; full table in EVAL_RESULTS-passk.md.
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- Open-weight baseline (local qwen3.8, single-shot): 24/39 = 62% on a cross-arch + library-identification slice (n=39, 3-bit quantized, temperature 0). On the separate private hard set (99 items, not in this pack), a separate local 3-bit-quantized open-weight run (text-only prompt with no binary/file access, no tools, single-turn, temperature 0.7, max_tokens=600, whole-reply normalized matching) scored 14/99 at pass@8; that is headroom evidence, not a published band table or proof that each task sits in the RL mid-band. A fixed 20-item agentic spot check found the sampled command-output/static-analysis families practice-level for a frontier agent with shell tools (40/40 attempts), so those families are being hardened before pilot use. We calibrate per buyer model.
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Datasheet + full evaluation results: https://huggingface.co/datasets/S3RL4/binary-reasoning-v1
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Canary for contamination checks: RE-Lab-brv-2026-10-29-8c1e4f7a
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