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Link the published paper (arXiv:2608.23841); update citation

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@@ -42,7 +42,7 @@ model-index:
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  A custom decoder-only transformer with delayed dense FFN + delayed MoE experts,
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  designed so its inter-layer dependency graph permits vertical pipelining on CPU.
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  Part of the **cflow** project — a CPU-first streaming inference engine written in
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- Rust.
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  > **Hosted weights:** this repository hosts `model.cflow` (17.39 GB) — the
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  > **arch2_4_8k_16l** model: 16 layers, hidden 8192, **~31B parameters**
@@ -244,10 +244,16 @@ The cflow project tests 8 claims about CPU inference optimization:
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  ## Citation
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  ```bibtex
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- @software{poperszky2026cflow,
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- author = {Poperszky, Tom},
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- title = {cflow: CPU-First Streaming Inference for Pipeline-Native Transformers},
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- year = {2026}
 
 
 
 
 
 
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  }
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  ```
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  A custom decoder-only transformer with delayed dense FFN + delayed MoE experts,
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  designed so its inter-layer dependency graph permits vertical pipelining on CPU.
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  Part of the **cflow** project — a CPU-first streaming inference engine written in
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+ Rust. **Paper: [arXiv:2608.23841](https://arxiv.org/abs/2608.23841).**
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  > **Hosted weights:** this repository hosts `model.cflow` (17.39 GB) — the
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  > **arch2_4_8k_16l** model: 16 layers, hidden 8192, **~31B parameters**
 
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  ## Citation
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  ```bibtex
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+ @misc{poperszky2026cflow,
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+ author = {Poperszky, Tom},
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+ title = {Pipeline-Native Transformers: Co-Designing Model Architecture
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+ and CPU Inference for Bandwidth-Efficient Autoregressive Decode},
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+ year = {2026},
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+ eprint = {2608.23841},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.LG},
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+ url = {https://arxiv.org/abs/2608.23841}
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+ }
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  }
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  ```
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