Description
- Abstract:
- This repository is the companion archive of selected and annotated LLM conversations for Tejas Kotwal's thesis, "Symmetries and Gradient Flows in the Deep Linear Network" (Brown University, 2026). The repository documents research process rather than mathematical authority. The transcripts show examples, false starts, convention checks, editorial experiments, and local calculations that helped shape parts of the thesis. No theorem, formula, definition, or attribution should be accepted because it appears in a model response. Each surviving mathematical point was checked separately before it was used in the thesis. The archive is selective rather than exhaustive. It follows the standard described in Section 1.4 of the thesis: each public conversation is accompanied by a note explaining the mathematical question, what was already known or drafted before the exchange, what the model contributed, where it failed or overreached, how the material was checked, and how it affected the thesis.
Access Conditions
- Use and Reproduction
- All rights reserved
- Rights
- In Copyright
- Restrictions on Use
- All Rights Reserved
Citation
Kotwal, Tejas,
"Supplement for Symmetries and Gradient Flows in the Deep Linear Network"
(2026).
Brown University Open Data Collection.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/3zq2-0864
Relations
Collection:
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Brown University Open Data Collection
This collection contains open and public access data sets created by Brown University faculty and student researchers. Increasingly, publishers and funders are requiring that protocols, data sets, documentation and code underlying publications be retained and preserved in repositories, their locations …...