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Auditable Long-Term Memory: A Deterministic Retrieval Chain Measured at 479/475 of 500 on LongMemEval-S

Paper recorded by Signals 4 on 2026-09-29 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-29 on arXiv · recorded by Signals 4 on 2026-09-30

Category: cs.CL · 自然语言处理 · first seen 2026-09-30

Abstract

We evaluate an auditable long-term memory system on LongMemEval-S. Its retrieval chain uses hybrid candidate retrieval, cross-encoder reranking, coverage-first packet compilation, and deterministic reasoning scaffolds; an LLM is used only as a replaceable final reader. The chain places all gold sessions in the candidate pool for 468/470 answerable questions and produces gold-complete packets for 4

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#9 most recent of 292 cs.CL papers we have recorded · ↑ newer: Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of · ↓ older: BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RA
Cite this page: Auditable Long-Term Memory: A Deterministic Retrieval Chain Measured at 479/475 of 500 on LongMemEval-S: the #9 most recent of 292 cs.CL papers we have recorded (as of 2026-09-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/auditable-long-term-memory-a-deterministic-retrieval-chain-measured-at-479-475-o.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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