ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs
- 类型:arxiv
- 标识:2607.28126
- 链接:http://arxiv.org/abs/2607.28126v1
- 主分类:rag
- 形态:method
- 被引:0
- 被引来源:Semantic Scholar + OpenAlex
- S2被引:0
- OpenAlex被引:0
- 影响力被引:0
- TLDR:This work proposes ConMem, a contribution-aware memory framework for LLM-assisted equipment inspection, supporting a human-in-the-loop early-risk screening system and retaining high-value evidence under a constrained memory budget.
- OpenAlex ID:W7171932929
- OpenAlex DOI:10.48550/arxiv.2607.28126
- DOI:10.48550/arxiv.2607.28126
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2607.28126
- OpenAlex更新:2026-08-26
- 待LLM分类:否
- 标题中文:ConMem:面向长周期制造巡检日志的贡献感知记忆
- TLDR中文:提出 ConMem,一个面向 LLM 辅助设备巡检的贡献感知 memory 框架,支持人在环的早期风险筛查,并在受限 memory 预算下保留高价值证据。
- 来源文件:
- /inbox/tom/_candidates/2026-07-31-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-01-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-02-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-03-agent-rag-longcontext-candidates.json
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- [OpenAlex backfill]