diff --git a/LICENSE b/LICENSE
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index 0000000000000000000000000000000000000000..a7056f2889009b6b736691291d2e65e63bab2fdc
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+++ b/LICENSE
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+MIT License
+
+Copyright (c) 2026 DVIDIA contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/README.md b/README.md
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index 0000000000000000000000000000000000000000..e3fbea657999d8a0579776b731f73b4c94b21d20
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@@ -0,0 +1,94 @@
+---
+license: mit
+tags:
+  - video
+  - robotics
+  - simulation
+  - synthetic
+  - dvidia-training
+---
+
+![DVIDIA Training](assets/branding/github-header.png)
+
+# DVIDIA Training: synthetic examples
+
+Two authored datasets for reproducing the DVIDIA Training v0.1.0 CPU pipeline: **moving-disc videos for visual prediction** and **native simulation recordings with numerical movement labels**. These are software research fixtures. They contain no human footage, shoe demonstrations, physical robot recordings or calibrated camera perception.
+
+[Training artifacts and measurements](https://huggingface.co/Dvidia/dvidia-training-pilot) · [Demo](https://huggingface.co/spaces/Dvidia/dvidia-training) · [Source and installation](https://github.com/Dvidia-Inference/dvidia-training)
+
+## Contents
+
+| Dataset | Source | Scale | Supervision |
+| --- | --- | --- | --- |
+| `visual/source/` | Procedurally drawn moving-disc MP4 videos | 10 recordings, 6 seconds each; 60 seconds total | Visual next-frame targets; no action labels |
+| `native/source/` | Ten separately executed native MuJoCo placement recordings with schematic MP4 videos | 10 recordings; 116.5 seconds total | Timestamped privileged simulator state and authored inverse-kinematics joint targets |
+
+Videos are H.264, 160 × 128 RGB schematics sampled at 10 Hz. The native videos depict a simulated six-joint arm and rigid box; they are not camera renderings. The native control labels were collected at 20 ms control timestamps when an authored target was requested. Source seeds are `8000` through `8009`.
+
+Each source directory contains `skillspace.training.json`, `example-receipt.json` and `videos/`. Native source also contains `actions/`, `evidence/` and `task.skill.json`. Each native sidecar contains a timestamp, 12 context values, 6 bounded goal/orientation error values and 6 joint-delta targets per sample. Its feature contract is:
+
+```text
+q6_object_minus_tcp3_target_minus_tcp3__capped_goal_delta3_upright_orientation_delta3_v1
+```
+
+The action labels come from simulator state and authored targets, not from recovering actions from pixels. Media, sample and evidence hashes record declared consistency; the alignment declaration is not an independent attestation. The prepared intake receipt retains `actions_validation: "unvalidated_numeric_contract"`; the later movement trainer checks the strict sidecar contract, hashes and declared alignment. Neither stage independently attests the underlying evidence.
+
+`archives/visual-skillspace.zip` and `archives/native-skillspace.zip` preserve the original source exports. `visual/prepared/` and `native/prepared/` preserve the measured `dataset.json`, `source_manifest.json` and every referenced `data/…` video or action sidecar from the published evidence. These prepared datasets can be supplied directly to DVIDIA Training; their recording split and media hashes remain inspectable.
+
+## Recorded splits
+
+Both datasets use seed `17` and connected groups formed from shared recording IDs, session IDs, shoe-pair IDs when present, and exact video hashes. In these examples, each recording has its own declared recording/session group. The protocol's target ratios are 0.70/0.15/0.15; the recorded allocation is 7/2/1 groups.
+
+| Split | Recording IDs in each dataset | Visual duration | Native movement samples |
+| --- | --- | --- | --- |
+| Training | `example-01`, `02`, `04`, `05`, `07`, `08`, `09` | 42 seconds | 4,029 |
+| Development | `example-00`, `03` | 12 seconds | 1,154 |
+| Test | `example-06` | 6 seconds | 621 |
+
+Abbreviated IDs in the table retain the `example-` prefix. Training fits weights, development selects ridge regularization, and test is scored after selection. The visual learner samples 12 frames per recording: 84/24/12 frames and 77/22/11 within-recording transitions across training/development/test.
+
+The ten native recordings total 5,804 movement samples. Samples within a recording are correlated. Separate recording groups and supplier-declared `complete` flags do not establish independent task trials, novelty or a sufficient number of demonstrations. `example-06` is also the exact native scene used for the separate one-scene qualification; that qualification adds no new held-out scene.
+
+## Download and reproduce
+
+This repository is an archive and JSON/MP4 dataset, without a packaged Hugging Face `datasets.load_dataset` builder. Download it with `huggingface_hub`, then use DVIDIA Training's source intake. The following requires Python 3.12+ and system FFmpeg, including `ffprobe`.
+
+```sh
+python -m pip install huggingface_hub
+python -m pip install https://github.com/Dvidia-Inference/dvidia-training/releases/download/v0.1.0/dvidia_training-0.1.0-py3-none-any.whl
+```
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="Dvidia/dvidia-training-examples",
+    repo_type="dataset",
+    local_dir="examples",
+)
+```
+
+Train and verify the visual result, using a fresh output directory:
+
+```sh
+dvidia-train run examples/archives/visual-skillspace.zip --seed 17 --output runs/visual
+dvidia-train inspect runs/visual
+```
+
+To reuse the published prepared split and referenced media, replace the source argument with `examples/visual/prepared/dataset.json` (or `examples/native/prepared/dataset.json` for the native branch).
+
+For the native movement branch and candidate capsule, add the optional simulation engine and supply the explicit task source:
+
+```sh
+python -m pip install mujoco==3.15.0
+dvidia-train run examples/archives/native-skillspace.zip --seed 17 --task-source examples/native/source/task.skill.json --output runs/native
+dvidia-train inspect runs/native
+```
+
+Software installation and repository download require network access. Training on the downloaded files is offline by default. Fitting and artifact inspection do not perform closed-loop qualification. See the [native pilot procedure](https://github.com/Dvidia-Inference/dvidia-training/blob/v0.1.0/benchmarks/native_pilot.py) for the separate collect, train, install and exact-scene test. Numerical reproducibility can depend on installed decoders and numerical libraries.
+
+## Provenance, license and intended use
+
+DVIDIA contributors authored the source generator and the synthetic recordings. These files originate in the [2026-10-08 footage-pipeline release](https://research.dvidia.org/downloads/topics/physical-grounding/runs/2026-10-08-footage-pipeline-v1/README.md). The [release ledger](https://research.dvidia.org/downloads/topics/physical-grounding/runs/2026-10-08-footage-pipeline-v1/release-ledger.json) declares MIT code and footage licenses and records an initial export-integration failure before the completed runs. The repository's `LICENSE` preserves the MIT copyright and permission notice.
+
+Use these examples to inspect video intake, provenance records, grouped splits, small CPU fitting and simulation-only movement supervision. Their simple imagery, narrow authored trajectories and privileged numerical labels do not represent human behavior or the variety of real robot tasks. No human-video action bridge, shoe-organizing skill, unseen-scene generalization or physical robot qualification has been demonstrated. Reported model metrics and the single native qualification are documented separately in the [model card](https://huggingface.co/Dvidia/dvidia-training-pilot).
diff --git a/archives/native-skillspace.zip b/archives/native-skillspace.zip
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diff --git a/native/prepared/data/320391bddbccd80a1644c644.actions.json b/native/prepared/data/320391bddbccd80a1644c644.actions.json
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+size 17524
diff --git a/native/prepared/data/44ae7b637c0ac9be929ee27b.actions.json b/native/prepared/data/44ae7b637c0ac9be929ee27b.actions.json
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--- /dev/null
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diff --git a/native/prepared/data/4e00f046ad4c0cbe2fc84812.actions.json b/native/prepared/data/4e00f046ad4c0cbe2fc84812.actions.json
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diff --git a/native/prepared/data/59bd9d185b121440050f14c8.actions.json b/native/prepared/data/59bd9d185b121440050f14c8.actions.json
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--- /dev/null
+++ b/native/prepared/data/59bd9d185b121440050f14c8.actions.json
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diff --git a/native/prepared/data/7431ee83814c3646719e4760.actions.json b/native/prepared/data/7431ee83814c3646719e4760.actions.json
new file mode 100644
index 0000000000000000000000000000000000000000..e1a8168de421419ebace3e4400f6d9c36d756b66
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diff --git a/native/prepared/data/a459e3e7c5611c5de457a8d7.actions.json b/native/prepared/data/a459e3e7c5611c5de457a8d7.actions.json
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diff --git a/native/prepared/data/a589a5b6732c81bffac8b241.actions.json b/native/prepared/data/a589a5b6732c81bffac8b241.actions.json
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--- /dev/null
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diff --git a/native/prepared/data/afb1e6c2537bad1e2736fda3.actions.json b/native/prepared/data/afb1e6c2537bad1e2736fda3.actions.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd7fb904bf822e4a8b8475acc744df79bd83acea
--- /dev/null
+++ b/native/prepared/data/afb1e6c2537bad1e2736fda3.actions.json
@@ -0,0 +1 @@
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diff --git a/native/prepared/data/efde41c9f44f4eb75b584f80.actions.json b/native/prepared/data/efde41c9f44f4eb75b584f80.actions.json
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diff --git a/native/prepared/dataset.json b/native/prepared/dataset.json
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diff --git a/native/prepared/source_manifest.json b/native/prepared/source_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9098c4f52d259e432a895d68ebdb7f4dd998133b
--- /dev/null
+++ b/native/prepared/source_manifest.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-00.json b/native/source/actions/example-00.json
new file mode 100644
index 0000000000000000000000000000000000000000..29f677cd2835380cd64c86929a280141b2825a16
--- /dev/null
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diff --git a/native/source/actions/example-01.json b/native/source/actions/example-01.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2574f2c1112fe0ed3f29fa9212f129f901aae40
--- /dev/null
+++ b/native/source/actions/example-01.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-02.json b/native/source/actions/example-02.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e5904ad1fa1d5a09f63e98524fd7b10f1978f08
--- /dev/null
+++ b/native/source/actions/example-02.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-03.json b/native/source/actions/example-03.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad17f99e86a1413845741888e7187ec96a932132
--- /dev/null
+++ b/native/source/actions/example-03.json
@@ -0,0 +1 @@
+{"feature_contract":"q6_object_minus_tcp3_target_minus_tcp3__capped_goal_delta3_upright_orientation_delta3_v1","kind":"dvidia.aligned-movement-demonstration","media_sha256":"382fa12fcf9a6230bcc1044b047fc4824b12c96f9021398cb2102e98af1b34a3","provenance":{"source_kind":"native-simulation-telemetry","validation":{"evidence_sha256":"4930ef61016374bfc117142c1a9e0a432231599dfabb411ab265e5d8f62f4685","feature_contract":"q6_object_minus_tcp3_target_minus_tcp3__capped_goal_delta3_upright_orientation_delta3_v1","kind":"dvidia.movement-alignment-validation","media_sha256":"382fa12fcf9a6230bcc1044b047fc4824b12c96f9021398cb2102e98af1b34a3","method":"Native simulator state and authored IK targets sampled at the same 20 ms control timestamps; schematic footage sampled at 10 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diff --git a/native/source/actions/example-04.json b/native/source/actions/example-04.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd7fb904bf822e4a8b8475acc744df79bd83acea
--- /dev/null
+++ b/native/source/actions/example-04.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-05.json b/native/source/actions/example-05.json
new file mode 100644
index 0000000000000000000000000000000000000000..a44b7b41723e1881d074ab3e187db48b854468ad
--- /dev/null
+++ b/native/source/actions/example-05.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-06.json b/native/source/actions/example-06.json
new file mode 100644
index 0000000000000000000000000000000000000000..2b6debbe53ed4028445418df04e8d22d8ca61370
--- /dev/null
+++ b/native/source/actions/example-06.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-07.json b/native/source/actions/example-07.json
new file mode 100644
index 0000000000000000000000000000000000000000..e1a8168de421419ebace3e4400f6d9c36d756b66
--- /dev/null
+++ b/native/source/actions/example-07.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-08.json b/native/source/actions/example-08.json
new file mode 100644
index 0000000000000000000000000000000000000000..258f99c30e30690c7f30cbaf395b521c90df6406
--- /dev/null
+++ b/native/source/actions/example-08.json
@@ -0,0 +1 @@
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diff --git a/native/source/actions/example-09.json b/native/source/actions/example-09.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d1c05897aa1762dabbacc1271537f90d1c02b25
--- /dev/null
+++ b/native/source/actions/example-09.json
@@ -0,0 +1 @@
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diff --git a/native/source/evidence/example-00.json b/native/source/evidence/example-00.json
new file mode 100644
index 0000000000000000000000000000000000000000..47ff8d6fe612dfb86c1e207ebfb8c39db9e8cffd
--- /dev/null
+++ b/native/source/evidence/example-00.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-01.json b/native/source/evidence/example-01.json
new file mode 100644
index 0000000000000000000000000000000000000000..8cf4c554bf0330f85d6dd00d9864f83bcfd54dc7
--- /dev/null
+++ b/native/source/evidence/example-01.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-02.json b/native/source/evidence/example-02.json
new file mode 100644
index 0000000000000000000000000000000000000000..60e900583ba8f940be4252f8192d68c70ef0234b
--- /dev/null
+++ b/native/source/evidence/example-02.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-03.json b/native/source/evidence/example-03.json
new file mode 100644
index 0000000000000000000000000000000000000000..5efdcfa04bb7c70d7a1e61a89e712df6212dd3c2
--- /dev/null
+++ b/native/source/evidence/example-03.json
@@ -0,0 +1 @@
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diff --git a/native/source/evidence/example-04.json b/native/source/evidence/example-04.json
new file mode 100644
index 0000000000000000000000000000000000000000..fdb93516d1307f59b6a4848f323359fffb2025d4
--- /dev/null
+++ b/native/source/evidence/example-04.json
@@ -0,0 +1 @@
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diff --git a/native/source/evidence/example-05.json b/native/source/evidence/example-05.json
new file mode 100644
index 0000000000000000000000000000000000000000..4817c5129486e52fe0161dba7f3bc73fbc336792
--- /dev/null
+++ b/native/source/evidence/example-05.json
@@ -0,0 +1 @@
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diff --git a/native/source/evidence/example-06.json b/native/source/evidence/example-06.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6946c8f31dc89c9325e6a68f2e861bd687bc562
--- /dev/null
+++ b/native/source/evidence/example-06.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-07.json b/native/source/evidence/example-07.json
new file mode 100644
index 0000000000000000000000000000000000000000..98aa502064736f48f354bf3d34ac57af16349ad4
--- /dev/null
+++ b/native/source/evidence/example-07.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-08.json b/native/source/evidence/example-08.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9ba5e8c71157328cba9cd8e527a8b5693505d0d
--- /dev/null
+++ b/native/source/evidence/example-08.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/evidence/example-09.json b/native/source/evidence/example-09.json
new file mode 100644
index 0000000000000000000000000000000000000000..50c6aed56eaa129606b7265358bc7b9b6e977028
--- /dev/null
+++ b/native/source/evidence/example-09.json
@@ -0,0 +1 @@
+{"final_info":{"action_contract":{"force_observation":"summed native per-pad normal contact forces, N; not actuator force","hinge_target_units":"rad","ik_orientation":"fixed identity rotation; XYZ position goal only","independent_commands":7,"jaw_actuator_force_limit_n":15.0,"jaw_gap_limits":[0.0,0.08],"jaw_gap_units":"m","joint_limits":[[-2.6,2.6],[-2.2,1.6],[-2.7,2.7],[-3.0,3.0],[-2.8,2.8],[-3.1,3.1]],"joint_torque_limit_nm":40.0,"physical_robot_joints":8},"actuation":"six bounded joint position servos and two bounded jaw servos","adapter_id":"contact-pick-place-box-v0","arm_profile":"dvidia-authored-6dof-parallel-jaw-v0","collision_profile":"jaws/object/table enabled; arm links and palm collision-excluded; no selfcollision qualification","command_limits":{"jaw_gap_rate_m_s":0.16,"joint_target_rate_rad_s":3.0,"scope":"authored target trajectory each native tick, before gravity feedforward; not a physical velocity 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diff --git a/native/source/example-receipt.json b/native/source/example-receipt.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ded6c7ece163690bd309f3dbb71084cc552ed1b
--- /dev/null
+++ b/native/source/example-receipt.json
@@ -0,0 +1 @@
+{"clips":10,"episodes":[{"id":"example-00","reason":"success","simulation_seconds":11.789999999998905,"success":true},{"id":"example-01","reason":"success","simulation_seconds":11.548999999999038,"success":true},{"id":"example-02","reason":"success","simulation_seconds":11.34799999999915,"success":true},{"id":"example-03","reason":"success","simulation_seconds":11.266999999999195,"success":true},{"id":"example-04","reason":"success","simulation_seconds":11.325999999999162,"success":true},{"id":"example-05","reason":"success","simulation_seconds":11.683999999998964,"success":true},{"id":"example-06","reason":"success","simulation_seconds":12.41099999999856,"success":true},{"id":"example-07","reason":"success","simulation_seconds":11.72799999999894,"success":true},{"id":"example-08","reason":"success","simulation_seconds":11.506999999999062,"success":true},{"id":"example-09","reason":"success","simulation_seconds":11.345999999999151,"success":true}],"native_arm":true,"schema_version":1,"synthetic":true}
diff --git a/native/source/skillspace.training.json b/native/source/skillspace.training.json
new file mode 100644
index 0000000000000000000000000000000000000000..9098c4f52d259e432a895d68ebdb7f4dd998133b
--- /dev/null
+++ b/native/source/skillspace.training.json
@@ -0,0 +1 @@
+{"description":"Encoded schematic test fixture; no human footage, shoe task, physical arm or learned perception bridge.","kind":"dvidia.skillspace-training-source","license":"MIT","media":[{"actions_path":"actions/example-00.json","complete":true,"id":"example-00","path":"videos/example-00.mp4","session_id":"synthetic-session-00","source_recording_id":"synthetic-recording-00"},{"actions_path":"actions/example-01.json","complete":true,"id":"example-01","path":"videos/example-01.mp4","session_id":"synthetic-session-01","source_recording_id":"synthetic-recording-01"},{"actions_path":"actions/example-02.json","complete":true,"id":"example-02","path":"videos/example-02.mp4","session_id":"synthetic-session-02","source_recording_id":"synthetic-recording-02"},{"actions_path":"actions/example-03.json","complete":true,"id":"example-03","path":"videos/example-03.mp4","session_id":"synthetic-session-03","source_recording_id":"synthetic-recording-03"},{"actions_path":"actions/example-04.json","complete":true,"id":"example-04","path":"videos/example-04.mp4","session_id":"synthetic-session-04","source_recording_id":"synthetic-recording-04"},{"actions_path":"actions/example-05.json","complete":true,"id":"example-05","path":"videos/example-05.mp4","session_id":"synthetic-session-05","source_recording_id":"synthetic-recording-05"},{"actions_path":"actions/example-06.json","complete":true,"id":"example-06","path":"videos/example-06.mp4","session_id":"synthetic-session-06","source_recording_id":"synthetic-recording-06"},{"actions_path":"actions/example-07.json","complete":true,"id":"example-07","path":"videos/example-07.mp4","session_id":"synthetic-session-07","source_recording_id":"synthetic-recording-07"},{"actions_path":"actions/example-08.json","complete":true,"id":"example-08","path":"videos/example-08.mp4","session_id":"synthetic-session-08","source_recording_id":"synthetic-recording-08"},{"actions_path":"actions/example-09.json","complete":true,"id":"example-09","path":"videos/example-09.mp4","session_id":"synthetic-session-09","source_recording_id":"synthetic-recording-09"}],"schema_version":1,"synthetic":true,"task":"Synthetic native rigid-box placement"}
diff --git a/native/source/task.skill.json b/native/source/task.skill.json
new file mode 100644
index 0000000000000000000000000000000000000000..89882495ce1f4b3d1a6490659ae91993bf226f0e
--- /dev/null
+++ b/native/source/task.skill.json
@@ -0,0 +1,13 @@
+{
+  "vdia": "0",
+  "skill": "place_cup",
+  "version": "0.3.0",
+  "task": "Set a cup on the mark.",
+  "rail": "physical",
+  "demos": 1,
+  "format": "lerobot/v3",
+  "codebase_version": "v3.0",
+  "robot_type": "dvidia.wrist_room",
+  "cameras": ["ego", "room"],
+  "residual": {"claimer": 0.5, "contributors": 0.5, "book": "not-live"}
+}
diff --git a/native/source/videos/example-00.mp4 b/native/source/videos/example-00.mp4
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index 0000000000000000000000000000000000000000..05211b0705490d44b1e47218618a1a9ac7b573fd
--- /dev/null
+++ b/native/source/videos/example-00.mp4
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+version https://git-lfs.github.com/spec/v1
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--- /dev/null
+++ b/native/source/videos/example-01.mp4
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+version https://git-lfs.github.com/spec/v1
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+version https://git-lfs.github.com/spec/v1
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diff --git a/provenance/release-ledger.json b/provenance/release-ledger.json
new file mode 100644
index 0000000000000000000000000000000000000000..09da5879260ec8e41c518b89cff2fca111e85222
--- /dev/null
+++ b/provenance/release-ledger.json
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+{
+  "schema_version": 1,
+  "kind": "dvidia.training-release-ledger",
+  "repository": "https://github.com/Dvidia-Inference/dvidia-training",
+  "source_commit": "1718c3b7791114649f037150b08153927d5eff5b",
+  "code_license": "MIT",
+  "footage_license": "MIT",
+  "footage_origin": "Authored synthetic schematic recordings and native simulator telemetry; no human or private footage.",
+  "pilot_scope": "Small CPU software pilot; one exact native held-out scene, no physical robot qualification.",
+  "runs": [
+    {
+      "id": "lab-native-integration-first",
+      "status": "failed_export",
+      "reason": "New trainer initially wrote movement_model.json while the orchestrator expected movement_head.json; no capsule or completed download was produced.",
+      "test_use": "Synthetic fixture verification; no architecture or weight tuning followed this integration failure."
+    },
+    {
+      "id": "standalone-visual",
+      "status": "complete",
+      "path": "visual-training/run.json",
+      "evidence": "Clean base package install without MuJoCo; actual encoded clips and verified data-only result."
+    },
+    {
+      "id": "standalone-native",
+      "status": "complete",
+      "path": "native-training/run.json",
+      "evidence": "Optional engine environment; actual aligned native supervision, candidate capsule, separate one-scene qualification and identical-target open-jaw control."
+    }
+  ],
+  "qualification_receipt": "qualification/qualification.json",
+  "hardware_minimum_verified": false,
+  "historical_studies": "Earlier releases and frozen studies were preserved; these fixtures are synthetic product integration checks.",
+  "software_checks": {
+    "tested_runtime_commit": "d1f0cbcfb296432b4ad0338dfd75e3f285b62d84",
+    "workflow_url": "https://github.com/Dvidia-Inference/dvidia-training/actions/runs/37740260434",
+    "conclusion": "success",
+    "jobs_passed": 8,
+    "visual_platforms": [
+      "Linux",
+      "macOS",
+      "Windows"
+    ],
+    "python_versions": [
+      "3.12",
+      "3.13"
+    ],
+    "native_arm_scope": "Linux synthetic one-scene pilot",
+    "container_scope": "Linux Docker actual example/training/inspection under --network none",
+    "release_changes_after_test": "Documentation only; runtime and tests unchanged."
+  },
+  "release_url": "https://github.com/Dvidia-Inference/dvidia-training/releases/tag/v0.1.0"
+}
diff --git a/provenance/source-manifest.json b/provenance/source-manifest.json
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--- /dev/null
+++ b/provenance/source-manifest.json
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+{
+  "schema_version": 1,
+  "kind": "dvidia.footage-pipeline-release",
+  "files": [
+    {
+      "path": "README.md",
+      "bytes": 3786,
+      "sha256": "7185faceceaf73099d6a60c1210db4bfb235c837bf44255cda19631189f7b1a8"
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+{"description":"Encoded schematic test fixture; no human footage, shoe task, physical arm or learned perception bridge.","kind":"dvidia.skillspace-training-source","license":"MIT","media":[{"complete":true,"id":"example-00","path":"videos/example-00.mp4","session_id":"synthetic-session-00","source_recording_id":"synthetic-recording-00"},{"complete":true,"id":"example-01","path":"videos/example-01.mp4","session_id":"synthetic-session-01","source_recording_id":"synthetic-recording-01"},{"complete":true,"id":"example-02","path":"videos/example-02.mp4","session_id":"synthetic-session-02","source_recording_id":"synthetic-recording-02"},{"complete":true,"id":"example-03","path":"videos/example-03.mp4","session_id":"synthetic-session-03","source_recording_id":"synthetic-recording-03"},{"complete":true,"id":"example-04","path":"videos/example-04.mp4","session_id":"synthetic-session-04","source_recording_id":"synthetic-recording-04"},{"complete":true,"id":"example-05","path":"videos/example-05.mp4","session_id":"synthetic-session-05","source_recording_id":"synthetic-recording-05"},{"complete":true,"id":"example-06","path":"videos/example-06.mp4","session_id":"synthetic-session-06","source_recording_id":"synthetic-recording-06"},{"complete":true,"id":"example-07","path":"videos/example-07.mp4","session_id":"synthetic-session-07","source_recording_id":"synthetic-recording-07"},{"complete":true,"id":"example-08","path":"videos/example-08.mp4","session_id":"synthetic-session-08","source_recording_id":"synthetic-recording-08"},{"complete":true,"id":"example-09","path":"videos/example-09.mp4","session_id":"synthetic-session-09","source_recording_id":"synthetic-recording-09"}],"schema_version":1,"synthetic":true,"task":"Synthetic moving-disc visual prediction"}
diff --git a/visual/source/example-receipt.json b/visual/source/example-receipt.json
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index 0000000000000000000000000000000000000000..37a82372c31742622f7006c5b07c2e16b1c7c96f
--- /dev/null
+++ b/visual/source/example-receipt.json
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+{"clips":10,"episodes":[],"native_arm":false,"schema_version":1,"synthetic":true}
diff --git a/visual/source/skillspace.training.json b/visual/source/skillspace.training.json
new file mode 100644
index 0000000000000000000000000000000000000000..a146220f94662270f63b19d7a3fd87420ffa2bc5
--- /dev/null
+++ b/visual/source/skillspace.training.json
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+{"description":"Encoded schematic test fixture; no human footage, shoe task, physical arm or learned perception bridge.","kind":"dvidia.skillspace-training-source","license":"MIT","media":[{"complete":true,"id":"example-00","path":"videos/example-00.mp4","session_id":"synthetic-session-00","source_recording_id":"synthetic-recording-00"},{"complete":true,"id":"example-01","path":"videos/example-01.mp4","session_id":"synthetic-session-01","source_recording_id":"synthetic-recording-01"},{"complete":true,"id":"example-02","path":"videos/example-02.mp4","session_id":"synthetic-session-02","source_recording_id":"synthetic-recording-02"},{"complete":true,"id":"example-03","path":"videos/example-03.mp4","session_id":"synthetic-session-03","source_recording_id":"synthetic-recording-03"},{"complete":true,"id":"example-04","path":"videos/example-04.mp4","session_id":"synthetic-session-04","source_recording_id":"synthetic-recording-04"},{"complete":true,"id":"example-05","path":"videos/example-05.mp4","session_id":"synthetic-session-05","source_recording_id":"synthetic-recording-05"},{"complete":true,"id":"example-06","path":"videos/example-06.mp4","session_id":"synthetic-session-06","source_recording_id":"synthetic-recording-06"},{"complete":true,"id":"example-07","path":"videos/example-07.mp4","session_id":"synthetic-session-07","source_recording_id":"synthetic-recording-07"},{"complete":true,"id":"example-08","path":"videos/example-08.mp4","session_id":"synthetic-session-08","source_recording_id":"synthetic-recording-08"},{"complete":true,"id":"example-09","path":"videos/example-09.mp4","session_id":"synthetic-session-09","source_recording_id":"synthetic-recording-09"}],"schema_version":1,"synthetic":true,"task":"Synthetic moving-disc visual prediction"}
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