Rename public TorchScript repo references to sentinel-01-pub-ths

README.md

@@ -23,9 +23,9 @@ widget:
   example_title: "Structured note email"
 ---
 
-# sentinel-01-pub-graph
+# sentinel-01-pub-ths
 
-`sentinel-01-pub-graph` is a TorchScript graph packaging of the public `sentinel-01-pub` Aurelex Sentinel Stage A artifact. It is provided for users who want to avoid Hugging Face remote custom Python code while evaluating the same limited-functionality wealth-management communications risk model.
+`sentinel-01-pub-ths` is a TorchScript packaging of the public `sentinel-01-pub` Aurelex Sentinel Stage A artifact. It is provided for users who want to avoid Hugging Face remote custom Python code while evaluating the same limited-functionality wealth-management communications risk model.
 
 This is not a production Aurelex model and must not be treated as legal, compliance, or investment advice.
 
@@ -40,11 +40,11 @@ This repository is intended to publish only the designated limited-functionality
 
 ## Identity
 
-- Repo ID: `AurelexAI/sentinel-01-pub-graph`
+- Repo ID: `AurelexAI/sentinel-01-pub-ths`
 - Source public repo: `AurelexAI/sentinel-01-pub`
 - Model key: `sentinel-mb-c-d11`
 - Current model artifact version: `sentinel-mb-c-d11-20260424`
-- Release channel: `sentinel-01-pub-graph`
+- Release channel: `sentinel-01-pub-ths`
 - Source encoder lineage: `answerdotai/ModernBERT-base`
 - Artifact format: `torchscript_graph`
 - Publication status: public, approved by Aurelex on 2026-04-28
@@ -67,7 +67,7 @@ import torch
 from huggingface_hub import hf_hub_download
 from transformers import AutoTokenizer
 
-REPO_ID = "AurelexAI/sentinel-01-pub-graph"
+REPO_ID = "AurelexAI/sentinel-01-pub-ths"
 
 model_path = hf_hub_download(REPO_ID, "model.torchscript.pt")
 schema_path = hf_hub_download(REPO_ID, "sentinel_schema.json")

checksums.sha256

@@ -1,9 +1,9 @@
-8a56ab110aea36c69a0e3208eabc2e26615d148a7ae35c7237051c488336f6af  README.md
+f9a5c0e3b544af100cfdafe85a11901d086da5977bf33270abd15fd22682ee3b  README.md
 7de2ab111a115e1f2de7e62313fa4dcc9d401cf2fe11c77d0890ec173eb3ce91  model.torchscript.pt
-40ae145c71e5e852c28ff6bbfd963b90854360db14658fc848296392ebf53e59  sentinel_schema.json
+b88322f572a42c5919a26719364ef8ad85d96c90a286801fd0539acd05768df8  sentinel_schema.json
 ca870c678352403d107496dc78899fa666ed0f56fef63e88ae398fafe5d78c45  tokenizer.json
 2966a59b9e9cf122279aec1249e22e5bc7ad8430c754e95031b13fd128d4e560  tokenizer_config.json
 ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049  special_tokens_map.json
-67f73d1093630cd46591882c87e74ea65921636a139088c929beafc338ae8af8  metadata.json
+12465c45021b7556a3ad10f62945cf7daefa55e691c8c76ae04d55fdcf7f9ea2  metadata.json
 877b915ac24f24f6b2d4f9cd1d04976edd9437e09410e7bb879dec7ddbf2db22  metrics.json
 8920b6d2be699a38be88deeecf53dd7f54abe4f98f993db41f183819a6db8f5c  results.md

metadata.json

@@ -571,8 +571,8 @@
     "violation_worst_scenario_label": "risky"
   },
   "model_version": "sentinel-mb-c-d11-20260424",
-  "release_repo_id": "AurelexAI/sentinel-01-pub-graph",
-  "release_channel": "sentinel-01-pub-graph",
+  "release_repo_id": "AurelexAI/sentinel-01-pub-ths",
+  "release_channel": "sentinel-01-pub-ths",
   "release_alias_of": null,
   "source_model_key": "sentinel-mb-c-d11",
   "encoder_revision": null,
@@ -589,5 +589,5 @@
   "source_repo_id": "AurelexAI/sentinel-01-pub",
   "requires_trust_remote_code": false,
   "graph_schema": "sentinel_schema.json",
-  "source_transformers_bundle": "build/huggingface/sentinel-01-pub-graph.source-transformers"
+  "source_transformers_bundle": "build/huggingface/sentinel-01-pub-ths.source-transformers"
 }

sentinel_schema.json

@@ -2,8 +2,8 @@
   "schema_version": 1,
   "model_key": "sentinel-mb-c-d11",
   "model_version": "sentinel-mb-c-d11-20260424",
-  "release_repo_id": "AurelexAI/sentinel-01-pub-graph",
-  "release_channel": "sentinel-01-pub-graph",
+  "release_repo_id": "AurelexAI/sentinel-01-pub-ths",
+  "release_channel": "sentinel-01-pub-ths",
   "source_repo_id": "AurelexAI/sentinel-01-pub",
   "artifact_format": "torchscript_graph",
   "graph_file": "model.torchscript.pt",