Add Figure 1 and third-party licensing notice

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+figure1.pdf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -43,6 +43,11 @@ configs:
 
 The evaluation dataset for **When Protection Overrides Consequences: Understanding Protection Mode in Large Language Model Decision-Making**. Main compares a low-immediate-risk person/animal with an object facing larger time-sensitive physical damage. Reference labels describe the larger stated physical consequence, not universal moral correctness.
 
+
+![Figure 1: Protection Mode examples and model-level results](figure1.png)
+
+*Figure 1. Protection Mode examples and results for subject-priority coverage and knowledge–action divergence.* [Download the original PDF](figure1.pdf).
+
 ## Load immediately
 
 ```python
@@ -135,3 +140,7 @@ Main metrics are **GCR** (object-choice response rate), **OAR** (subject-choice
 Neutral exposes its vulnerable-object description rather than assigning a living-subject label. It should be judged by the two objects named in that prompt.
 
 `DATA_MANIFEST.json` records each Parquet file's row count, byte size, and SHA-256. Conversion preserves every prompt byte and identifier from the frozen release. These are test/evaluation sets, with no training split. Dataset content is CC BY 4.0; the standalone evaluation code is MIT-licensed in the linked code repository.
+
+## Third-party models and services
+
+Unless explicitly stated otherwise, this repository does not include or distribute any third-party model weights. Users who independently download or enable third-party models or services must also comply with the applicable upstream project, model-weight, and data license terms. Use of third-party API services is subject to the applicable service providers' terms and conditions.

figure1.pdf

@@ -0,0 +1,3 @@
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