Update authors in bitwise consistent train inference post

Signed-off-by: Bram Wasti <[email protected]>

Author: bwasti

_posts/2025-11-10-bitwise-consistent-train-inference.md

@@ -70,5 +70,5 @@ Note that we did not use `torch.compile` for the TorchTitan model, and thus enfo
 While building this, testing was straightforward as we are able to use exact bitwise checks to ensure the forward logprobs and the perplexity generated by the trainer are identical.  We will continue to improve the performance of vLLM and simplify the integration to support all TorchTitan models.  To follow this work, please see the linked RFC: [#28326](https://github.com/vllm-project/vllm/issues/28326).
 
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-*Acknowledgements:
-Bram Wasti, Teja Rao, Paul Zhang, Tianyu Liu, Zhuohan Li, Natalia Gimelshein*
+*Authors:
+Bram Wasti, Wentao Ye, Teja Rao, Michael Goin, Paul Zhang, Tianyu Liu, Natalia Gimelshein, Woosuk Kwon, Kaichao You, Zhuohan Li*