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太阳光首次用于生成纠缠光子对，3 天户外实验保真度约 94%
量子纠缠光源新突破，太阳光户外生成光子对，保真度94%，登上《自然》！
IT之家 8 月 13 日消息，科技媒体 TechSpot 昨日（8 月 12 日）发布博文，报道称研究人员利用阳光生成纠缠光子对， 实验在户外连续 3 天完成，结果达到约 94% 保真度。 纠缠保真度 是衡量量子系统在传输、存储或运算过程中，多大程度上保持了理想 量子纠缠 特性的核心物理指标。 加…
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Accurate Ensembles, Fragile Narratives: Multi-Scale Stacking and a Fidelity Audit of LLM-Generated Explanations for Credit Risk
从多尺度堆叠与保真度审计切入，揭示LLM解释信用风险评估模型的可靠性边界，值得AI+金融从业者关注。
arXiv:2608.08126v1 Announce Type: new Abstract: Credit scoring increasingly relies on models whose decision logic cannot be read off their parameters,…
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我国科研团队破解超导量子计算“速度与保真度”矛盾
IT之家 8 月 7 日消息，据上海证券报今日报道，本源量子与中国科学技术大学联合研究团队创新性提出的“参数空间扩展受控相位门（PSE-CZ）”方案， 成功破解了超导量子计算领域长期存在的速度与保真度相互制约难题 ，让两比特量子门在保持高速的同时大幅提升精度。 相关成果已发表于国际物理顶级期刊《物理…
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Out-Of-The-Loop Multi-Fidelity Bayesian Optimization
跳出循环的隐式监督，多保真贝叶斯优化迎来新范式，降本增效直击采样痛点。
arXiv:2608.04113v1 Announce Type: cross Abstract: Black-box optimization is a ubiquitous problem in science and engineering, often dealing with expens…
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TokenMem: Faithful Knowledge Injection for Frozen LLMs
提出TokenMem方法，在冻结LLM上实现高保真知识注入，无需微调即可更新模型知识库。
arXiv:2607.22625v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) enhances large language models (LLMs) with external knowledge, …
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纠缠保真度超过 94%，量子互联网首次走出实验室
量子纠缠保真度超94%！这项突破首次在商用光纤上实现，为实用化量子互联网铺平道路。
IT之家 7 月 23 日消息，科技媒体 Phys 昨日（7 月 22 日）发布博文，报道称在一条承载着繁忙互联网流量的 24.4 公里商用光纤中， 美国西北大学科学家成功传输了纠缠光子对，同时保持了超过 94% 的纠缠保真度。 相关研究成果已于 7 月 20 日在期刊《Optica Quantum…
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OPPO 陈希透露 ColorOS 17 没有透明化卡片设计，称可读性有挺大影响
轻松管理卡片式UI设计，Figma支持团队实时协作与高保真原型制作，完美应对ColorOS风格需求
IT之家 7 月 19 日消息，OPPO ColorOS 设计总监陈希昨日在微博分享了 ColorOS 系统的小布建议功能，称到医院后可以自动识别医院，主动推出相关服务，用医保码非常方便。 有网友希望小布建议卡片设计可以更美观，并期待 ColorOS 17 在透明底上显示这些信息的小布建议卡片。对此…
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你这图「保真」吗？AI 生图时代的信息防伪
人类记录信息的方式一直在变化，但我们对「真实性」的需求从未改变。 查看全文
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Bifidelity Parameter Estimation Using Conditional Diffusion Models
基于条件扩散模型的双保真参数估计新方法，融合高低保真数据提升推断精度与效率。
arXiv:2504.01894v2 Announce Type: replace Abstract: We present a bifidelity method for uncertainty quantification of parameter estimates in complex sy…
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GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation
用图推理梳理文献脉络，生成高保真Related Work，GRASP让学术写作更靠谱。
arXiv:2607.03709v1 Announce Type: new Abstract: Writing a literature review requires a deep understanding of the relationships among cited papers: how…
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Will Scaling Improve Social Simulation with LLMs?
探讨LLM缩放能否提升社会模拟的保真度，揭示当前范式的局限与挑战
arXiv:2607.02464v1 Announce Type: new Abstract: Large Language Model (LLM) social simulations are a promising research method, but they are not yet fa…
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Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins
论文提出Timesynth框架，专为健康信号数字孪生设计，解决时间保真度问题，推动精准医疗建模。
arXiv:2607.00431v1 Announce Type: new Abstract: Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, an…
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Practical High-Fidelity Novel-View Synthesis of Mounted Lepidoptera
用AI高保真合成蝴蝶标本新视角，3D重建精度惊艳，昆虫数字化新思路。
arXiv:2606.31679v1 Announce Type: cross Abstract: Mounted butterflies are among the most striking objects in natural history collections. However, the…
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HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors
车载3D生成新方案，借助2D自回归先验实现高保真车辆重建
arXiv:2606.25300v1 Announce Type: new Abstract: Existing 3D vehicle generation methods often suffer from low geometric fidelity and blurry textures, h…
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Simulated Customers Never Walk Away: Decision Fidelity of LLM User Simulators Measured Against Real Purchase Outcomes
用真实购买结果衡量LLM用户模拟器的决策保真度，为对话AI评估提供新标尺
arXiv:2606.20708v1 Announce Type: new Abstract: LLM-as-user-simulation has become core infrastructure for conversational AI: agent benchmarks (tau-ben…
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Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment
量化模型部署的保真度评估，揭示位移≠方向的关键误区，助你选对指标。
arXiv:2606.19558v1 Announce Type: new Abstract: Fidelity metrics, such as per-token KL divergence (KLD) against a high-precision reference, are often …
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Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM Inference
边缘端智能压缩提示词，直击云LLM推理的语义损耗与成本痛点。
arXiv:2606.19364v1 Announce Type: new Abstract: The prefill stage of Large Language Model (LLM) inference is a growing contributor to cloud-scale ener…
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A Mechanistic Understanding of Pronoun Fidelity in LLMs
深入剖析LLM代词保真失效的机制，揭示推理、重复与偏见间的复杂关系。
arXiv:2606.16407v1 Announce Type: cross Abstract: Faithful and robust pronoun use is important for fair and coherent generations, yet large language m…
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Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events
最新研究为视频多模态大模型的时间感知能力设计诊断基准，聚焦瞬时视觉事件，暴露模型在极短事件上的理解缺陷。
arXiv:2606.02522v1 Announce Type: cross Abstract: Video multimodal large language models (MLLMs) have made rapid progress on general and long-form vid…