SOURCE-LINKED INTELLIGENCE
To Memories and Beyond: From Remembering to Knowing You across Long-Term Multimodal Personal Archives
As AI systems evolve into personalized digital companions, a central capability is reasoning over a user's long-term personal history: not merely storing past events, but tracking longitudinal experiences and evolving preferences. Progress here is bottlenecked by evaluation, existing long-term memory benchmarks are largely synthetic and text-only, they overlook the visual records that anchor everyday human memory, lack the authentic and causally connected longitudinal data that real personalization demands, and consequently remain confined to shallow factual recall. We introduce ReaLMem (Real-
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T16:13:06.000Z
First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.