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Author

Haolin Ruan

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#artificial intelligence Preprint Oct 2026

When Agent Memory Needs to Compute: Evidence Access and Executable Aggregation

Questions about an agent's history often require aggregating events, which retrieval alone does not resolve. We combine source-preserving evidence access with executable aggregation. Trajectory Memory (TM) retains the original trajectory and constructs a source-addressable reading view at question time. TallyMem augmen...

Ze-Rui Yang, Quan Xue, Chao-Rui Zhang et al. · 0 citations
Preprint Aug 2026

OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development

We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates complete app-level changes: each task requires an agent to modify a buildable ArkTS project so that a requested behavior works end to end,...

Li Li, Han Hu, Tian-Jian Zhang et al. · 0 citations

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