conductor(cs336_architectures): Phase 5 Verification - end-of-track report + state.toml completed

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+# Track Completion: video_analysis_cs336_architectures_20260621
+
+**Track:** `video_analysis_cs336_architectures_20260621`
+**Type:** Per-child research track (Pass 1 of 3) — child #11 of 12 in `video_analysis_campaign_20260621`
+**Status:** SHIPPED
+**Tier:** 2 Tech Lead (per-child dispatch)
+**Ship date:** 2026-06-21
+
+## Summary
+
+Eleventh child of the video_analysis_campaign_20260621 umbrella shipped. All 5 phases executed successfully. Cluster E #1 (Stanford course VODs >1hr). First child in cluster E.
+
+## Phase Results
+
+### Phase 1: Acquire
+
+- **Transcript:** yt-dlp VTT recovered 5276 raw segments. LCS dedup produced 2626 clean segments (93KB). **Despite the R5 risk noted in the spec (oEmbed API returned 401), yt-dlp worked successfully.**
+- **Video:** yt-dlp downloaded 196MB mp4 (format 400+251 merged).
+- **Speaker:** Tatsu Hashimoto (CS336 co-instructor).
+
+### Phase 2: Keyframes
+
+ffmpeg scene detection at threshold 0.4 (per spec for lecture slides). 39 unique frames extracted (lower than other children — talk has dense static slides).
+
+### Phase 3: OCR
+
+winsdk OCR processed 39 frames in 2.3 seconds. Output: 821 lines of markdown. **OCR is excellent** — dense technical content captured: architecture variations, vocabulary sizes, Pre-LN vs Post-LN gradient analysis, QK-norm, double norm, recent models.
+
+### Phase 4: Synthesis
+
+Deep-dive report (1442 lines, 70KB) + summary (~398 words). 10 appendices.
+
+### Phase 5: Verification
+
+All checks pass:
+- [x] All 7 deliverable artifacts present
+- [x] report.md is 1442 lines (within 1000-10000 target)
+- [x] summary.md is ~398 words (within 200-400 target)
+- [x] All 8 report sections + 10 appendices populated, no TBDs
+- [x] Per-task commits with git notes
+- [x] video.mp4 + VTT properly gitignored
+- [x] R5 risk mitigated — yt-dlp bypassed the oEmbed 401
+
+## Commits in this dispatch
+
+| SHA | Message |
+|---|---|
+| `bb2a4843` | Phase 1: Acquire — 2626 clean segments (93KB) + 196MB mp4 |
+| `517f3f4a` | Phase 2: Keyframes — 39 unique frames (threshold 0.4) |
+| `a34426d4` | Phase 3: OCR — 39 frames OCR'd via winsdk in 2.3s |
+| `b3d3e1ed` | Phase 4: Synthesis — report.md (1442 lines, 70KB) + summary.md |
+
+## Key Findings
+
+- **The LLaMA template is the standard** — pre-norm LayerNorm + RoPE + SwiGLU FFN + RMSNorm + no bias. Most open-source dense LLMs follow this template (LLaMA 2/3, OLMo 2/3, Gemma 2/3, Qwen 2/3).
+- **Most architectural hyperparameters are forgiving** — wide basins of good values for vocabulary size (32K-256K), head dimension (~1), and most other choices.
+- **FLOPs dominate architecture** — at fixed compute, smaller models trained on more data beat larger models trained on less. Aspect ratio (~100) and activation (SwiGLU) are the non-forgiving hyperparameters.
+- **Training stability tricks** — no warmup (pre-norm), QK-norm (bounded attention), FixNorm (reset state), ScaleNorm (gradient scaling).
+- **Recent variants** — QK-norm (Cohere), double norm / non-residual post-norm (Gemma 2, Olmo 2, Grok), hybrid attention (Jamba).
+- **MoE is the next frontier** — most new model releases in 2025-2026 are MoE; deferred to next lecture.
+- **Architecture is messy empirical work** — the instructor's honest framing: "everything you didn't want to know about architectures and hyperparameters."
+
+## Next Steps
+
+1 child track remaining:
+- creikey_dl_cv (D — now unblocked)
+
+Plus 1 synthesis track after all children ship.
+
+**Cluster E #1 complete.** This was the R5 risk case for the cluster — yt-dlp successfully bypassed the oEmbed 401.
+
+## Forward Connections Identified
+
+This talk informs:
+- **creikey_dl_cv_20260621**: DDPM architecture (U-Net with attention) follows similar architectural decisions.
+
+## Backward Connections
+
+This talk builds on:
+- **cs229_building_llms_20260621** (§6.1.1): direct backward; LLM context.
+- **score_dynamics_giorgini_20260621** (§6.1.2): training dynamics.
+- **platonic_intelligence_kumar_20260621** (§6.1.3): representations inside architectures.
+- **brain_counterintuitive_20260621** (§6.3.1): reservoir + transformer architectures.
+- **generic_systems_fields_20260621** (§6.3.2): generic systems + forgiving basin.
+- **neural_dynamics_miller_20260621** (§6.3.4): global control signals.
+- **multiscale_hoffman_20260621** (§6.3.3): Transformers as policies.
+
+## Process notes
+
+- **R5 risk mitigated:** the spec flagged oEmbed API 401 as a potential access issue, but yt-dlp worked. This validates the "verify yt-dlp access before downloading" note in the spec.
+- Threshold 0.4 used per spec for lecture slides (less motion than animated talks).
+- 196MB mp4 = larger than most other children (over 1hr lecture).
+- 2626 clean segments = longest transcript yet.
+- The instructor (Tatsu Hashimoto) is named; co-instructor Percy Liang is referenced multiple times.