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CITATION.cff

@@ -2,7 +2,7 @@ cff-version: 1.2.0
 message: "If you use this software, please cite it as below."
 authors:
   - family-names: "Prayaga"
-    given-names: "Vaibhav (Akka)"
+    given-names: "Vaibhav"
     affiliation: "Open Vinayaka Project"
     orcid: "https://orcid.org/0009-0007-8995-0895"
 title: "OpenVinayaka: A Unified Framework for Hallucination Elimination via Structural Memory Injection"

Experimental_Steering/OV_GGUF_SPEC.md

@@ -1,6 +1,6 @@
 # OV-GGUF Specification (v1.0.0-Draft)
 **License:** MIT License  
-**Author:** Prayaga Vaibhav (Akka) & Open Vinayaka Project
+**Author:** Prayaga Vaibhav & Open Vinayaka Project
 
 ## 1. Abstract
 OV-GGUF (Open Vinayaka GGUF) is an extension of the GGUF binary format designed to embed **Hierarchical Memory Graphs** directly into the model file. It enables "Hybrid Inference" where the GPU processes logic while the CPU handles structural knowledge retrieval, eliminating the "Lost in the Middle" phenomenon and reducing hallucinations via structural grounding.

Publication_Metadata/README.md

@@ -19,7 +19,7 @@ size_categories:
 
 # OpenVinayaka Engine (OV-Engine)
 
-**Author:** Prayaga Vaibhav (Akka)  
+**Author:** Prayaga Vaibhav  
 **License:** MIT
 
 ## 🚀 What is OV-Engine?

Publication_Metadata/huggingface/README.md

@@ -17,7 +17,7 @@ size_categories:
 
 # OV-Memory: The "Hallucination Killer" Dataset & Kernel
 
-**Author:** Prayaga Vaibhav (Akka)  
+**Author:** Prayaga Vaibhav  
 **License:** MIT
 
 ## 🚀 What is this?

Publication_Metadata/zenodo/zenodo.json

@@ -5,7 +5,7 @@
     "description": "OV-Memory is a graph-based memory injection system that uses the Priority Formula P = S * C * R * W (Similarity * Centrality * Recency * Weight) to eliminate hallucinations in Large Language Models. This repository contains the reference C++ kernel and 10,000-scenario benchmark dataset proving 100% accuracy against adversarial distractors.",
     "creators": [
       {
-        "name": "Prayaga, Vaibhav (Akka)",
+        "name": "Prayaga, Vaibhav",
         "affiliation": "Open Vinayaka Project"
       }
     ],

Python_Package/setup.py

@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
     name="openvinayaka",
     version="1.0.0",
-    author="Prayaga Vaibhav (Akka)",
+    author="Prayaga Vaibhav",
     description="Universal Hallucination-Free AI Engine",
     packages=find_packages(),
     install_requires=[

README.md

@@ -2,7 +2,7 @@
 
 **The Universal Hallucination-Free Inference Engine**
 
-> *Dedicated to Om Vinayaka & Prayaga Vaibhav (Akka)*
+> *Dedicated to Om Vinayaka & Prayaga Vaibhav*
 
 [![GitHub](https://img.shields.io/badge/GitHub-Repo-blue?logo=github)](https://github.com/narasimhudumeetsworld/OV-engine)
 [![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface)](https://huggingface.co/vaibhavlakshmiprayaga/OpenVinayaka-Engine)

Thesis_Paper/OpenVinayaka_Thesis.md

@@ -1,6 +1,6 @@
 # OpenVinayaka: A Unified Framework for Hallucination Elimination in Large Language Models via Structural Memory Injection
 
-**Author:** Prayaga Vaibhav (Akka)  
+**Author:** Prayaga Vaibhav  
 **Affiliation:** Open Vinayaka Project  
 **Date:** December 27, 2025  
 **License:** MIT