experiment: capture proposal-boundary live variance

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### Experiment 57J.29 — Live Semantic Representation Stability (Repeated Identical Runs)
**Classification: D — DOWNSTREAM INSTABILITY SUSPECTED.** Three repeated identical live runs with the fixed scenario ("We are considering relocating the engineering team to reduce operating costs.") and fixed answer ("Before deciding, I need evidence that the projected office savings are realistic and evidence that the move will not materially increase loss of key engineers.") through the production `startCase()``updateCase()` path. **key finding:** `userSupportedMeaning` was null/empty in ALL 3 trials — no semantic meaning was extracted by the model. Yet admission outcomes diverged: Trial 2 (start with 7 nodes) admitted both unknowns; Trials 1 & 3 (start with 6 nodes) rejected at `proposal_compatibility` with identical "stronger reasoning category" errors despite null diagnostics. This confirms that start graph quality (6 vs 7 nodes cold-start variance) directly affects admission outcomes, and when `userSupportedMeaning` is empty the gate may still process hidden semantic fields. The admission variance cannot be explained by upstream model representation because no meaningful semantic content was produced in any trial — instability is downstream of model representation. Configured Ollama: qwen-claude:latest at http://192.168.1.111:11434. 6 live calls total. No production code changed.
### Experiment 57J.30 — Proposal-Boundary Live Variance
**Classification: I — INSUFFICIENT VISIBILITY.** Three repeated identical live runs with the fixed scenario ("We are considering relocating the engineering team to reduce operating costs.") and fixed answer through the production `startCase()``updateCase()` path. Mixed outcomes: Trial 1 (start=6 nodes) ACCEPTED, Trial 2 (start=8 nodes) REJECTED at `proposal_compatibility` with "answerMeaning.userSupportedMeaning introduces a stronger reasoning category", Trial 3 (start=5 nodes) ACCEPTED. **Cold-start instability confirmed at scale:** node count ranged from 5 to 8 across three identical inputs (60% variance). Accepted trials are structurally consistent: both produce exactly 2 unknown nodes (savings realism + engineer retention) with depends_on edges to state anchors. **Blocking gap:** the API does not surface parsed proposal fields (answerMeaning, addedNodes, etc.) in rejection responses — only error strings. Without pre-validation proposal visibility, causal attribution of the accepted-vs-rejected divergence is impossible: we cannot confirm whether the rejected trial's `userSupportedMeaning` contained stronger category language or whether a different structural element caused the rejection. Configured Ollama: qwen-claude:latest at http://192.168.1.111:11434. 6 live calls total. No production code changed.