Abstract
An autoregressive summarization process is proposed herein that can be used to assess trace data in an observability system, which provides a trade-off between storing state context and trace context. In some instances, the autoregressive summarization process may also be used to detect and prove differences between competitive offerings.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tang, Jianan; Dandekar, Nihar; and Gupta, Saurabh, "AUTOREGRESSIVE SUMMARIZATION OF TRACE DATA USING FINE-TUNED LANGUAGE MODELS", Technical Disclosure Commons, (October 31, 2025)
https://www.tdcommons.org/dpubs_series/8810
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