Log Experiment

Log results for experiment $ARGUMENTS.

Steps

1. Read results: Load experiments/$ARGUMENTS/seed*/results.json for all seeds.

2. Compute statistics: Calculate mean ± std for:

   • Chamfer Distance (CD)
   • Normal Consistency (NC)
   • IoU@128³ and IoU@256³
   • Eikonal Deviation
   • Check if CV > 0.2 (flag for seed expansion)

3. Check divergence: Mark run as DIVERGED if L_sdf at epoch 500 > 50% of epoch 10 value.

4. Append to experiments/experiment_log.md:

### Results: $ARGUMENTS | $(date)

**Status**: COMPLETE / DIVERGED (N/3 seeds)

#### Quantitative Results
| Metric         | Mean    | Std     | Notes          |
|----------------|---------|---------|----------------|
| CD             | X.XXXX  | X.XXXX  |                |
| Normal Cons.   | X.XXX   | X.XXX   |                |
| IoU@128³       | X.XXX   | X.XXX   |                |
| IoU@256³       | X.XXX   | X.XXX   |                |
| Eikonal Dev.   | X.XXXX  | X.XXXX  |                |

**CV Check**: CD CV = X.XX → [OK / ⚠️ EXPAND TO 5 SEEDS]

#### What We Expected
[Fill: based on hypothesis from pre-run entry]

#### What Actually Happened
[Fill: compare to expectation — better/worse/same, why?]

#### Key Observations
- Training stability: [stable / unstable, gradient norms]
- L_eik/L_sdf ratio at convergence: X.X
- Category breakdown: chair=X, airplane=X, table=X

#### Diagnosis Triggered?
- [ ] Gradient norm deviation > 0.1 → action taken
- [ ] L_eik > 10x L_sdf → action taken
- [ ] PE degradation → EXP-06b/07b needed
- [ ] Seed expansion needed

#### Action Items for Next Experiment
1. [specific change to make, e.g. "increase warmup to 200"]
2. [hyperparameter to tune]