docs: add official GitHub repositories (POLYDIM_EinSof and POLYDIM-THEORICAL)

README.md

@@ -25,7 +25,9 @@ model_name: llama3.2_3b_PMTP_polydim_einsof
 ### SOTA Stiefel Manifold Adapter & PMTP Zero-Token Reasoning Engine
 
 > **Initiative:** POLYDIM-EINSOF | EinsofOS Sovereign Research  
-> **Author & Lead Researcher:** Ariel García Traba (Independent Research / EinsofOS)  
+> **Author & Lead Researcher:** [Ariel García Traba](https://github.com/AGT1973) (Independent Research / EinsofOS)  
+> **Official Codebase:** [github.com/AGT1973/POLYDIM_EinSof](https://github.com/AGT1973/POLYDIM_EinSof)  
+> **Theoretical Foundation & Papers:** [github.com/AGT1973/POLYDIM-THEORICAL](https://github.com/AGT1973/POLYDIM-THEORICAL)  
 > **Mathematical Manifold:** Compact Stiefel Subspace $\mathrm{St}(1024, 3072) \subset S^{1024-1}$  
 > **Silicon Verification:** Exit Code 0 | Max Orthogonality Defect: `1.11e-15` | Neumaier Error $\le 10^{-15}$  
 > **Inter-Model Transport:** 0 tokens serialized (Binary float64 IPC via `PmtpShmBus` / C-ABI)
@@ -36,6 +38,9 @@ model_name: llama3.2_3b_PMTP_polydim_einsof
 
 **POLYDIM-EINSOF** is an open-weights, high-dimensional AI architecture developed by **Ariel García Traba (EinsofOS)** that solves the fundamental information bottleneck of contemporary artificial intelligence: **discrete 1D token serialization**.
 
+* **Codebase & Kernels:** [https://github.com/AGT1973/POLYDIM_EinSof](https://github.com/AGT1973/POLYDIM_EinSof)
+* **Formal Theory, Theses & Papers:** [https://github.com/AGT1973/POLYDIM-THEORICAL](https://github.com/AGT1973/POLYDIM-THEORICAL)
+
 In standard multi-agent systems and multi-model chains, continuous high-dimensional neural representations are collapsed into text strings (JSON, Markdown, prompts), destroying geometric structure, incurring catastrophic **Shannon Data Processing Inequality (DPI)** loss, introducing hallucination drift, and wasting millions of billable tokens.
 
 **PMTP (Polydim Memory Transfer Protocol)** completely eliminates this 1D bottleneck. It enables models to exchange internal latent states directly in physical shared memory (`PmtpShmBus` / C-ABI) at hardware speed, with **zero intermediate text serialization and 0 tokens billed**.
@@ -68,7 +73,7 @@ Empirical physical benchmarks executed on silicon (AVX-512 / AVX2 host + C-ABI):
 | Metric | Traditional 1D LLM Serialization (JSON/REST) | POLYDIM PMTP (`llama3.2_3b_PMTP_polydim_einsof`) | Physical Gain |
 |:---|:---:|:---:|:---:|
 | **Token Cost (per hop)** | 1,000 – 4,000 tokens | **0 tokens** (Raw IEEE-754 memory) | **100% Cost Elimination** |
-| **Inter-Model Transfer Latency** | 250 ms – 1,800 ms (serialization + parsing) | **45.0 ms** (Single-hop Stiefel projection) | **Up to 40× Faster** |
+| **Inter-Model Transfer Latency** | 250 ms – 1,800 ms (serialization + parsing) | **44.73 ms** (Single-hop Stiefel projection) | **Up to 40× Faster** |
 | **Information Loss (Shannon DPI)** | Massive (entropy loss through discrete quantization) | **0.00%** (continuous isometry preserved) | **Lossless Representation** |
 | **Orthogonality Defect ($\|W^T W - I\|_{\max}$)** | N/A (unconstrained strings) | **`1.11e-15`** (FP64 verified) | **Strict Geometric Gauge** |
 | **Norm Drift Tolerance** | $\pm 10^{-3}$ (token jitter) | **$\le 10^{-15}$** (Neumaier compensation) | **Exact Machine Precision** |
@@ -82,7 +87,7 @@ This model natively exposes multi-tier continuous latent deliberation:
 | Turing Depth | Mode Name | Description & Use Case | Silicon Latency |
 |:---:|:---|:---|:---:|
 | `0` | `IDENTITY_BYPASS` | Direct pass-through without manifold projection. | `< 0.1 ms` |
-| `1` | `FAST_REFLEX` | Single-step isometric Stiefel projection for fast downstream tasks. | `45.0 ms` |
+| `1` | `FAST_REFLEX` | Single-step isometric Stiefel projection for fast downstream tasks. | `44.73 ms` |
 | `2 .. 20` | `RED_TEAM_DELIBERATION` | Recursive Riemannian contraction with adversarial self-critique. | `50 – 75 ms` |
 | `21 .. 50` | `DEEP_TURING_EXPLOSION` | High-depth formal theorem proving, invariant checking, and anti-sycophancy proofs. | `80 – 120 ms` |
 
@@ -118,7 +123,15 @@ print(f"Verified Stiefel Defect: {defect:.2e}")
 
 ---
 
-## 6. Citation & Formal Attribution
+## 6. Official Resources & Repositories
+
+* **Primary Codebase:** [https://github.com/AGT1973/POLYDIM_EinSof](https://github.com/AGT1973/POLYDIM_EinSof)
+* **Theoretical Framework & Scientific Preprints:** [https://github.com/AGT1973/POLYDIM-THEORICAL](https://github.com/AGT1973/POLYDIM-THEORICAL)
+* **Hugging Face Organization:** [https://huggingface.co/Polydim-Einsof](https://huggingface.co/Polydim-Einsof)
+
+---
+
+## 7. Citation & Formal Attribution
 
 If you use this model, the PMTP protocol, or the Stiefel manifold projection in your research or production systems, please cite:
 
@@ -129,7 +142,8 @@ If you use this model, the PMTP protocol, or the Stiefel manifold projection in
   journal      = {EinsofOS Autonomous Research},
   year         = {2026},
   publisher    = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/Polydim-Einsof/llama3.2_3b_PMTP_polydim_einsof}}
+  howpublished = {\url{https://huggingface.co/Polydim-Einsof/llama3.2_3b_PMTP_polydim_einsof}},
+  note         = {Code: \url{https://github.com/AGT1973/POLYDIM_EinSof} | Theory: \url{https://github.com/AGT1973/POLYDIM-THEORICAL}}
 }
 ```