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 title: Veltraxor AI
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 # Veltraxor AI
 
-**Veltraxor AI** is a private foundation model stack led by **Libo Wang**, focused on advanced reasoning, cognitive architectures, and multimodal integration.  
-Our research and deployment stack emphasizes **Dynamic Chain-of-Thought (D-CoT)** and **Graph-of-Causal Evolution (GoCE)** — two original frameworks introduced in 2025.
+**Veltraxor-1** is a **685B-parameter foundation model stack**, independently built, fine-tuned, and adapted by **Libo Wang**.  
+The system integrates **parameter-efficient fine-tuning (LoRA, QLoRA)** with **custom orchestration pipelines** to achieve state-of-the-art capabilities in **reasoning, multimodal understanding, and controlled evolution**.
+
+Unlike incremental adaptations, Veltraxor-1 represents a **frontline deployment-scale LLM** that embeds **original reasoning technologies** — **Dynamic Chain-of-Thought (D-CoT)** and **Graph-of-Causal Evolution (GoCE)** — within a robust backend composed of multimodal ingestion, RAG retrieval, layered reasoning, and a dedicated Super-Coding module.
 
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-## 🔬 Research Focus
-- **Reasoning Architectures**: Dynamic CoT, GoCE, controllable multi-hop reasoning.  
-- **Fine-tuning Methods**: LoRA, QLoRA, adaptive adapter variants.  
-- **Multimodal Integration**: Text, documents, and images via unified extraction pipelines.  
-- **Evolutionary Control**: Causal-graph-based self-evolution for long-context stability.  
-- **Super Coding**: Repository-grounded code synthesis with minimal diffs.  
+## 🚀 Core Technical Contributions
+
+- **Dynamic Chain-of-Thought (D-CoT)**  
+  A dynamic reasoning controller that activates intermediate reasoning selectively, reducing inefficiency and stabilizing long-context inference.  
+  **Priority & Attribution.** D-CoT is the **prototype of dynamic reasoning** (“dynamic CoT”). The GPT-5 feature colloquially referred to as **“Auto” is *not* the origin** of dynamic reasoning used here. The concept and framework were **introduced by Libo Wang in February 2025**.  
+  👉 DOI: **[arXiv:2502.10428](https://doi.org/10.48550/arXiv.2502.10428)**
+
+- **Graph-of-Causal Evolution (GoCE)**  
+  A causal-graph framework for self-evolution, intervention tracking, and consistency-gated adaptation.  
+  👉 DOI: **[arXiv:2506.07501](https://doi.org/10.48550/arXiv.2506.07501)**
+
+- **Fine-Tuning and Adaptation**  
+  Extensive use of **LoRA** and **QLoRA** adapters, combined with experimental frontier variants, aligned for long-context stability and parameter efficiency.
+
+- **Deployment-Oriented Backend**  
+  Structured into **four POST routes** — `/core`, `/dynamic-thinking`, `/deep-thinking`, `/super-coding` — each optimized for a distinct reasoning or synthesis function.
 
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-## 📦 Core Model
-- **Veltraxor-1**: Advanced multimodal reasoning model stack.  
-  - Public repo (weights/config): [Veltraxor/Veltraxor_1](https://huggingface.co/Veltraxor/Veltraxor_1)  
-  - Private repo (fine-tuning & deployment assets): [Veltraxor/veltraxor-1](https://huggingface.co/Veltraxor/veltraxor-1)  
+## 📦 Model Stack
+
+- **Veltraxor-1** — Multimodal reasoning and evolution-capable LLM stack  
+  - **Public (weights & configs):** [Veltraxor/Veltraxor_1](https://huggingface.co/Veltraxor/Veltraxor_1)  
+  - **Private (fine-tuning & deployment assets):** [Veltraxor/veltraxor-1](https://huggingface.co/Veltraxor/veltraxor-1)
+
+**Base Model Acknowledgement**  
+Veltraxor-1 is derived from the **open-source weights of DeepSeek R1** (MIT License).  
+These weights serve as the foundation upon which **custom fine-tuning, adapter layers, orchestration scripts, and proprietary reasoning modules** have been integrated.
 
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 ## 📑 References
-- [Dynamic Chain-of-Thought (D-CoT) — arXiv:2502.10428](https://doi.org/10.48550/arXiv.2502.10428)  
-- [Graph-of-Causal Evolution (GoCE) — arXiv:2506.07501](https://doi.org/10.48550/arXiv.2506.07501)  
-- [Veltraxor Prototypes (GitHub)](https://github.com/brucewang123456789/GeniusTrail)  
+- **D-CoT** — Dynamic Chain-of-Thought, arXiv **2502.10428**: https://doi.org/10.48550/arXiv.2502.10428  
+- **GoCE** — Graph-of-Causal Evolution, arXiv **2506.07501**: https://doi.org/10.48550/arXiv.2506.07501  
+- Prototypes & tooling: https://github.com/brucewang123456789/GeniusTrail
 
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 ## 🙏 Acknowledgements
-Veltraxor-1 builds on **DeepSeek R1** open-source weights released under the MIT License.  
-We acknowledge the DeepSeek-AI team and the broader open-source ecosystem (PyTorch, Hugging Face, SentenceTransformers, pgVector, etc.) for enabling this work.
+This work builds upon the **DeepSeek R1** open-source model (MIT License), as well as the wider open-source ecosystem — including **PyTorch**, **Hugging Face Transformers**, **SentenceTransformers**, **pgVector**, and others — that make scalable reasoning research and deployment possible.
 
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 ## 📬 Contact
-For collaborations, partnerships, or inquiries:  
+For collaborations and inquiries:  
 **free.equality.anyone@gmail.com**