We note, however, some dataset labeling issues which can obscure agent performance. For instance, some LongSeal distractors actually contain correct information, and some URLs containing supporting information are not accounted for, leading to misleadingly low recall scores despite successful information retrieval.
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Even for someone as enthusiastic about this pattern as I am, it becomes cumbersome to use Org as the source of truth for larger software projects, as the source code essentially becomes a compiled output, and after every edit in the Org file, the code must be re-extracted and placed into its destination ("tangled", in Org Mode parlance). Obviously this can be automated, but it's easy to get into annoying situations where you or your agent has edited the real source and it gets overwritten on the next tangle.