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| # Four-setting checkpoint index | |
| This directory groups the release assets by experimental setting. Each setting uses the same six logical entries: | |
| 1. `common_start/`: the branch point used by all continuation methods; | |
| 2. `uniform/`: the Uniform continuation checkpoint; | |
| 3. `residual/`: the Residual-OPTR (ReTime) continuation checkpoint; | |
| 4. `keyframe/`: the KF-Weight continuation checkpoint; | |
| 5. `frameskip/`: the FrameSkip continuation checkpoint; | |
| 6. `loss_is/`: the active Loss-IS continuation checkpoint. | |
| The `common_start` entry is the resumable training state. Method endpoints are evaluation-ready model snapshots unless a setting README explicitly lists additional training-state files. Shared source code remains at repository root; each setting README records the corresponding step, model family, environment and method dependencies. | |
| | Setting | Common start | Continuation endpoint | | |
| |---|---:|---:| | |
| | Florence–Bridge | 20,000 | 20,500 | | |
| | Florence–RoboTwin | 10,000 | 10,500 | | |
| | Qwen3-VL-4B–Bridge | 29,000 | 29,500 | | |
| | Qwen3-VL-4B–RoboTwin | 11,000 | 11,500 | | |
| No implementation-path or self-referential checksum gate is required for launch. Reproduction should still validate the model family, dataset, episode/anchor support, proposal semantics, batch contract and training budget. | |