Why 🦖 AIresearchFinder picked: LSREP: A Longitudinal State-Replay Protocol for Evaluating Conversational Memory [R]

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<a href="https://www.reddit.com/r/MachineLearning/comments/1xkzwz9/lsrep_a_longitudinal_statereplay_protocol_for/" rel="nofollow noopener noreferrer ugc" target="_blank"> </a> <!-- SC_OFF --><p>I'm an undergraduate researcher working independently on conversational memory systems. I developed LSREP to evaluate how persistent memory accumulates, changes and retrieves information over the course of an evolving conversation.</p> <p>Instead of relying only on isolated endpoint questions, LSREP combines chronological replay, lifecycle schedules, repeated probes, evolving reference answers and mechanism-fidelity checks.</p> <p>The accompanying architectural case study is ICE v2, a local-first conversational memory system.</p> <p>The evaluation covers 1,985 turns, 219 distinct probes and 1,211 probe-checkpoint observations across 52 checkpoints, using a private single-user history.</p> <p>An important part of the findings is that ICE v2 did not outperform pure vector-RAG on the matched LongMemEval evaluation. The ordinary-density replay results also did not establish a quality advantage. The paper discusses the limitations and mechanism-fidelity findings rather than treating the architecture as validated in its entirety.</p> <p>I'm particularly interested in feedback on the evaluation methodology: what else should a longitudinal memory benchmark test to distinguish successful recall from reliable maintenance of evolving conversational state?</p> <p>Paper: <a href="https://arxiv.org/abs/2609.16730" rel="nofollow noopener noreferrer ugc" target="_blank">https://arxiv.org/abs/2609.16730</a></p> <p>Code and evaluation artifacts: <a href="https://github.com/Deepnar/ice" rel="nofollow noopener noreferrer ugc" target="_blank">https://github.com/Deepnar/ice</a></p> <p>Frozen software artifact: <a href="https://doi.org/10.5281/zenodo.21759702" rel="nofollow noopener noreferrer ugc" target="_blank">https://doi.org/10.5281/zenodo.21759702</a></p> <p>This is an arXiv preprint and an ongoing independent research project.</p> <p>(I couldn't find anything about the tag in the title in the rules, so i assumed [R] for research, if its wrong please inform)</p> <!-- SC_ON --> submitted by <a href="https://www.reddit.com/user/Deepnar_S" rel="nofollow noopener noreferrer ugc" target="_blank"> /u/Deepnar_S </a> <br/> <a href="https://www.reddit.com/gallery/1xkzwz9" rel="nofollow noopener noreferrer ugc" target="_blank">[link]</a> <a href="https://www.reddit.com/r/MachineLearning/comments/1xkzwz9/lsrep_a_longitudinal_statereplay_protocol_for/" rel="nofollow noopener noreferrer ugc" target="_blank">[comments]</a>