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+ # Batch Validation — 5 Cascade-Only Instances
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+
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+ **Job:** [6a04d3a33308d79117b8f24c](https://huggingface.co/jobs/narcolepticchicken/6a04d3a33308d79117b8f24c)
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+ **Status:** RUNNING
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+ **Started:** 2026-05-13
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+
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+ ## Instances
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+
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+ These are the cascade-only instances from the corrected report — solved by T1 or T2 but NOT by either T4 model:
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+ 1. `django__django-11815`
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+ 2. `django__django-13089`
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+ 3. `django__django-13807`
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+ 4. `django__django-14315` (single-instance test: T2 produced valid 3997ch diff)
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+ 5. `matplotlib__matplotlib-25224`
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+
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+ ## Approach
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+
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+ - **T1:** Llama-3.1-8B-Instruct (25 turn max)
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+ - **T2:** Llama-3.3-70B-Instruct (20 turn max)
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+ - **Protocol:** File editing (`<edit path='file'>content</edit>`) + `git diff` external
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+ - **Validation:** `git apply --check` on generated patch
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+ - **Cost:** $0 inference (HF free) + ~$2-3 compute
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+
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+ ## Expected Result
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+
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+ If the cascade thesis holds, we should see:
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+ - 3-5 instances producing valid patches
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+ - Mix of T1 and T2 solves
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+ - Evidence that cheap models can solve instances that frontier models miss
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+
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+ ## Check Logs
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+
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+ ```bash
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+ curl -s "https://huggingface.co/api/jobs/narcolepticchicken/6a04d3a33308d79117b8f24c/logs"
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+ ```