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Update sentinel-mb-c-d11 model card

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  1. README.md +8 -3
README.md CHANGED
@@ -39,11 +39,14 @@ This repository is intended to publish only the designated limited-functionality
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  - Repo ID: `AurelexAI/sentinel-01-pub`
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  - Model key: `sentinel-mb-c-d11`
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- - Model version: `sentinel-mb-c-d11-20260424`
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  - Release channel: `sentinel-01-pub`
 
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  - Artifact format: `transformers_end_to_end`
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  - Publication status: public, approved by Aurelex on 2026-04-28
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  The model was selected as a public, lower-capacity, limited-functionality variant. It is separate from Aurelex production channels and full-featured internal models.
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  ## Loading From Hugging Face
@@ -71,7 +74,9 @@ print(result)
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  print(model_version)
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  ```
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- For reproducible evaluation, pin a reviewed Hub commit with `revision="<commit_sha>"`.
 
 
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  ## Outputs
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@@ -81,7 +86,7 @@ These outputs are risk-review signals for human review. They are not final compl
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  ## Evaluation
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- Dataset: `2026-04-07-final-audit-clear-v1`.
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  | Metric | Test |
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  | --- | ---: |
 
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  - Repo ID: `AurelexAI/sentinel-01-pub`
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  - Model key: `sentinel-mb-c-d11`
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+ - Current model artifact version: `sentinel-mb-c-d11-20260424`
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  - Release channel: `sentinel-01-pub`
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+ - Source encoder lineage: `answerdotai/ModernBERT-base`
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  - Artifact format: `transformers_end_to_end`
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  - Publication status: public, approved by Aurelex on 2026-04-28
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+ The current public release is the `sentinel-01-pub` channel serving the `sentinel-mb-c-d11-20260424` artifact. The repository ships as a self-contained end-to-end model; the source encoder lineage is listed for transparency and Hugging Face discoverability, not because users need to load a separate encoder.
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  The model was selected as a public, lower-capacity, limited-functionality variant. It is separate from Aurelex production channels and full-featured internal models.
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  ## Loading From Hugging Face
 
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  print(model_version)
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  ```
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+ `trust_remote_code=True` is required because this repository includes custom Transformers runtime files: `configuration_sentinel.py`, `modeling_sentinel.py`, and `pipeline_sentinel.py`. Those files register the `sentinel-stage-a` pipeline and the custom Sentinel model class used to interpret the serialized weights.
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+ Only use `trust_remote_code=True` for repositories you trust and whose code you have reviewed. For reproducible use, pin a reviewed Hub commit with `revision="<commit_sha>"` so the loaded runtime code and weights cannot change unexpectedly.
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  ## Outputs
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  ## Evaluation
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+ Dataset: `2026-04-07-final-audit-clear-v1`, test split size `150`.
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  | Metric | Test |
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  | --- | ---: |