Update README with GRT-30M suite, GRT_Whitepaper.pdf, GNU Free-as-in-Freedom statement, and matterwave.ai citation

README.md

@@ -85,20 +85,17 @@ When scaling a new GRT backbone to a wider `d_model = 256 · k` (`n_pairs = 128
 
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-## Whitepaper & Technical Reports (`matterwave.ai`)
-
-- **Full Whitepaper**: [**The Geometric Rotation Transformer (GRT): A Purely Rotational Foundation Architecture (`GRT_Whitepaper.pdf`)**](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/GRT_Whitepaper.pdf)
-- **Companion Technical Reports** ([`MatterWaveAI/grt-30m/tree/main/papers`](https://huggingface.co/MatterWaveAI/grt-30m/tree/main/papers)):
-  - [`rotational_embedding.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/rotational_embedding.pdf) — *RotationalEmbedding: Phase-Angle Token Representation on a Product of Circles*
-  - [`pearlnorm.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/pearlnorm.pdf) — *PearlNorm: Pair-Aware Root-Mean-Square Layer Normalization*
-  - [`rotationalmixer.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/rotationalmixer.pdf) — *RotationalMixer: Content-Dependent Butterfly-Shuffled Mixing Between Attention and FFN*
-  - [`radialgelu.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/radialgelu.pdf) — *RadialGELU: A Phase-Preserving Nonlinearity for Rotation-Based Neural Networks*
-  - [`pairadam.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/pairadam.pdf) — *PairAdam: Geometry-Aware Optimization for Rotation-Based Neural Networks*
-  - [`mor.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/mor.pdf) — *Mixture-of-Rotations: Soft Expert Routing for Rotation-Based Feed-Forward Networks*
-  - [`stokes_coupling.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/stokes_coupling.pdf) — *Stokes & Clifford Multivector Coupling for Rotational Attention*
-  - [`fermionic_grt.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/fermionic_grt.pdf) — *FermionicGRT: Real-Only Clifford-Algebra Transformers with Matchgate Simulation*
-  - [`prism_grt.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/prism_grt.pdf) — *PRISM: Probe-Reservoir Injection and State Modulation for Self-Editing Rotational Transformers*
-  - [`rotation_machine.pdf`](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/papers/rotation_machine.pdf) — *Rotation Machine: Language Modeling via Recursive Application of a Single Computational Rule*
+## Complete `MatterWaveAI/grt-30m*` Research Suite on Hugging Face
+
+1. **Base Causal LM**: [`MatterWaveAI/grt-30m`](https://huggingface.co/MatterWaveAI/grt-30m)
+2. **Chat Fine-Tune**: [`MatterWaveAI/grt-30m-chat`](https://huggingface.co/MatterWaveAI/grt-30m-chat)
+3. **4-Expert Mixture-of-Rotations (`MoR`)**: [`MatterWaveAI/grt-30m-mor`](https://huggingface.co/MatterWaveAI/grt-30m-mor)
+4. **Circular-Pooled Sentence Embedding**: [`MatterWaveAI/grt-30m-embedding`](https://huggingface.co/MatterWaveAI/grt-30m-embedding)
+5. **Cross-Encoder Reranker**: [`MatterWaveAI/grt-30m-reranker`](https://huggingface.co/MatterWaveAI/grt-30m-reranker)
+6. **Vision-Language (`GRTVL`)**: [`MatterWaveAI/grt-30m-vl`](https://huggingface.co/MatterWaveAI/grt-30m-vl)
+7. **Canonical Tokenizer & Polar Embedding Bank**: [`MatterWaveAI/grt-30m-tokenizer`](https://huggingface.co/MatterWaveAI/grt-30m-tokenizer)
+
+- **Whitepaper**: [**The Geometric Rotation Transformer (GRT): A Purely Rotational Foundation Architecture (`GRT_Whitepaper.pdf`)**](https://huggingface.co/MatterWaveAI/grt-30m/resolve/main/GRT_Whitepaper.pdf)
 
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