memory retention
The ability of a system to preserve and recall information over time or across contexts, often balancing compression against fidelity.
- Papers
- 6
- Released code
- 0
- First seen
- July 2026
- Latest
- Sept 2026
5 papers in the last two months, against 1 in the two before.
The papers
Most central to this idea first, not most recent.
- Industrycs.CV
4D foundation models lack robust visual memory for out-of-view objects
Cornell University · Sept 2026
- Independentcs.AI
Memory consolidation outperforms retention under tight budgets, but retention wins when budgets are loose.
July 2026
- Independentcs.LG
Adaptive memory graphs improve collaboration in multi-agent language-model systems
Sept 2026
- Independentcs.AI
Structured agent memories withstand model upgrades better than compressed notes
Sept 2026
- Industrycs.AI
Topic Changes Do Not Reliably Stop LLMs From Revealing User Secrets
West Virginia University · Sept 2026
- Top Universitycs.AI
Coding Agents Need Semantic Measures of Working Memory Performance
Argonne National Laboratory, Columbia University · Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.