# INTACT without previous-action input

This directory contains 12 independently trained, task-specific E1
checkpoints whose intent actor is history-free in both training and evaluation.

## Actor and evaluation contract

- Actor input: `[z_t, m_t, z_t * m_t]`
- No previous-action channel, initializer, expert prefix, or dataset-mean token
- 7/7 supervision window, 8 frames, terminal goal `z7`
- Full data, one epoch, batch 256, BF16 mixed precision, Math SDPA
- Official Direct evaluation, `H=5`, `RH=5`, zero search

## Official Direct results

| Task | Mean SR (%) | Train-seed sample std (pp) |
|---|---:|---:|
| PushT | 85.33 | 0.58 |
| Cube | 99.44 | 0.38 |
| Reacher | 93.44 | 0.38 |
| TwoRoom | 98.78 | 0.69 |
| **Macro** | **94.25** | **0.08** |

The matrix contains 36 evaluations: training seeds `0/42/3072`, evaluation
seeds `0/1/42`, four tasks, and 100 episodes per cell.

## Files

- `intact-goal-e1-single-history-free-seed<seed>.tar.gz`: four task shards
- `MANIFEST.json`: release contract, aggregate results, and shard hashes
- `RESULTS.csv`: complete 36-cell history-free evaluation
- `SHA256SUMS`: archive checksums