**Overall Verdict:** Accept — the submission is complete and end-to-end reachable, with only non-blocking documentation inconsistencies concerning exact reproducibility and the starting-height field name.

**Completeness Check:**
- Instruction: Complete — the objective, three-object scope, upper-body-only controls, output schema, replay behavior, and terminal success conditions are explicit; attached documentation consistently uses `init_target_z`, although the submission summary calls it `init_object_z`.
- Inputs: Complete — all three object bundles include distinct MuJoCo scenes, finite frozen physics and policy states, consistent 43-joint parameter sets, and exactly 31 ordered upper-body joints.
- Toolchain: Complete — Linux, package versions, CUDA GPU requirements, setup commands, policy dependencies, and the single-machine workflow are specified.
- Reference output: Complete — reference trajectories exist for all three objects and contain finite `float32` `upper_body` arrays of shapes `(421, 31)`, `(469, 31)`, and `(412, 31)`, accompanied by the replay grader.
- Rubric: Complete — schema gates, per-object distance/lift/upright thresholds, all-or-nothing scoring, partial-result reporting, and negative controls are objective and precise.

**File and Task Reachability:**
The attachment set is `partially_reachable`, solely because the review environment did not provide the exact MuJoCo/CUDA runtime needed to semantically load the binary scenes or execute the policy. The end-to-end task is `reachable` on one suitable Linux machine with a CUDA GPU and the declared dependencies.

Both manifest archives were inspected: `robot_dexterous_grasping_ref.tgz` and `robot_dexterous_grasping_data.tgz`. Their actual sizes match the manifest, both are valid unencrypted gzip-compressed tar archives, and neither contains traversal paths, absolute paths, links, device entries, or unexpected member types. Static inspection covered `run_grader.py`; all three reference trajectory files; `task_brief.md`, `SETUP.md`, `TRAJECTORY_SCHEMA.md`, and `SUCCESS.md`; `objects.json`; every `robot_params.json`, `init_state.npy`, and `amo_init_state.npz`; all three `scene.mjb` files; `amo_policy.py`; and the three policy-weight containers. NumPy schemas, dimensions, finiteness, JSON consistency, binary signatures, required model names, TorchScript container structure, and pickle globals were checked. No relevant manifest content was omitted from static inspection. Submitted programs and models were not executed; therefore, the reported reference scores and full scene parseability were not independently reproduced. This is a reviewer-tooling and safety limitation, not evidence of a submission defect.

The completion path is coherent: install the declared packages, load each scene and its frozen states, restore the bundled balance policy, synthesize and record the 31 upper-body targets, save one trajectory per object, and replay them through the supplied grader to obtain the threshold-based all-or-nothing result. Solver-visible inputs and protected reference trajectories are separated into different archives, with no evident answer trajectory in the input bundle. License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.

**Special Screening:**
None — no affirmative evidence supports `ai_synthetic`, `public_benchmark`, or `synthetic_defect_fixture`. Public-benchmark status could not be independently searched in the offline review environment.

**Recommended Changes:**
The self-contained assets, frozen-state contract, reference trajectories, and evaluator are strong. No material changes are required. As optional documentation cleanup, use the actual `init_target_z` field name everywhere and reconcile the claim of bit-identical CUDA replay with the attached schema’s warning that policy inference may vary by approximately `1e-7`; the latter should be the authoritative guidance unless deterministic execution has been explicitly enforced.