Robustness under stochastic decoding
Establish whether the Knowledge-Driven Analytics Framework's retrieval and generation results remain robust under stochastic decoding rather than only under deterministic temperature-zero decoding.
References
Our experiments use greedy decoding on English tasks; robustness across decoding strategies and temperatures is left to future work.
Fifth, decoding is deterministic at temperature 0, and the three generation passes reported here produced byte-identical answers. This establishes end-to-end reproducibility but is explicitly not evidence of robustness under stochastic decoding, which remains untested; readers should not interpret the absence of seed variance as stability under sampling.
We did not sweep temperature or top-$p$; whether the post-SFT Î is robust to sampling stochasticity is untested.
Seed sensitivity. We fix one decoding seed (42) throughout, so individual outcomes are reproducible, but we have not measured how much a different seed would shift the reported rates.