ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

2026-08-20 13:12:50 +00:00
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+# Experiment 8-4 retained-training-report audit
+
+## Result
+
+Status: **passed**. The historical report retains 64 image descriptions across 8 configurations and the same 8 images. Each image was inspected by a real image-capable ARK judge together with all eight arm-blind captions.
+
+| Configuration | Grounding | Hallucination control | Coverage | Specificity | Overall | Best count |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| without_muon_sft | 2.1250 | 1.3750 | 2.3750 | 1.7500 | 1.9062 | 1 |
+| without_muon_pretrained | 1.8750 | 2.6250 | 1.5000 | 0.8750 | 1.7188 | 1 |
+| muon_from_dpo_sft | 1.3750 | 1.1250 | 1.8750 | 1.7500 | 1.5312 | 2 |
+| muon_from_sft_pretrained | 1.8750 | 2.0000 | 1.3750 | 0.8750 | 1.5312 | 2 |
+| muon_from_sft_sft | 1.2500 | 1.1250 | 1.5000 | 1.2500 | 1.2812 | 1 |
+| muon_from_pretrain_sft | 1.1250 | 0.5000 | 1.3750 | 1.1250 | 1.0312 | 0 |
+| muon_from_dpo_pretrained | 1.0000 | 1.5000 | 0.8750 | 0.3750 | 0.9375 | 0 |
+| muon_from_pretrain_pretrained | 0.7500 | 1.3750 | 0.7500 | 0.6250 | 0.8750 | 1 |
+
+The highest descriptive judge mean was **without_muon_sft** at **1.9062**. Averaged across all four base configurations, full VLM SFT changed the score by **+0.1718** versus projection-only pretraining.
+
+The isolated report comparison pairs original/SFT-base against QK-Norm+Muon/SFT-base at each VLM stage. QK-Norm and Muon still change together, so no Muon-only causal claim is made. All author-written qualitative claims remain historical observations rather than pass/fail gates.
+
+## Provenance and reproduction boundary
+
+`reproduction_contract.json` freezes separate pre-QK-Norm and QK-Norm+Muon MiniMind-V revisions, the corresponding base-LLM revisions, script-compatible VLM dataset Git-LFS objects, the CLIP weight object, all eight evaluation-image hashes, and future commands. These pins are not misrepresented as the historical checkout.
+
+Training checkpoints remain local by book policy and are not acceptance artifacts. The accepted artifact is this content-hashed report, all 64 retained outputs, eight raw image-aware judge receipts, and explicit limitations.