Move AI disclosure to report end

TECHNICAL_REPORT.md

@@ -5,10 +5,6 @@ Modern and Classical Languages and Literatures, Virginia Tech
 Email: wtaggart@vt.edu  
 **Technical report · November 13, 2026 · Revision 0.2**
 
-## AI assistance disclosure
-
-This project was created with assistance from GPT-6 Astra and Codex. AI tools supported software development, testing, and the drafting and revision of this technical report. William Taggart is responsible for the project's research decisions and the final software and documentation. AI assistance does not constitute independent validation of the implementation or its scientific claims; the validation evidence and limitations are stated separately in this report.
-
 ## Abstract
 
 AFFECTOR-ARC is an experimental command-line system for rewriting text under a user-defined emotional trajectory. It runs a frozen Qwen3.5-0.8B model on an NVIDIA GPU and changes selected internal activations during generation. A trajectory specifies valence, inward/outward emotional orientation, and intensity across normalized document position. Small sets of contrasting English passages establish three activation directions at each selected transformer layer. At inference time, the requested coordinates determine a weighted displacement, scaled relative to the current hidden-state magnitude, smoothed across decoding steps, and constrained by an RMS budget. Paired hooks apply this displacement to both the feed-forward input and its residual path. Document rewriting combines these interventions with four editing styles, sentence-aware segmentation, bounded generation, and incremental reporting. This report derives the mechanism from its implemented operations and distinguishes numerical controls from emotional outcomes. CPU policy tests pass; the current revision still requires CUDA validation. No measured claim of emotional accuracy, semantic preservation, or multilingual effectiveness is made.
@@ -298,6 +294,10 @@ This report describes the repository's executable operations rather than relying
 - [Engine source hashes](ENGINE_MANIFEST.json)
 - [Generation policy tests](tests/test_generation.py) and [document-run tests](tests/test_document_run.py)
 
+## AI assistance disclosure
+
+This project was created with assistance from GPT-6 Astra and Codex. AI tools supported software development, testing, and the drafting and revision of this technical report. William Taggart is responsible for the project's research decisions and the final software and documentation. AI assistance does not constitute independent validation of the implementation or its scientific claims; the validation evidence and limitations are stated separately in this report.
+
 ### Suggested citation
 
 ```bibtex