Knowledization: Claim-Level Epistemic Control with Admissibility, Source Support, and Real-World Proxy Boundaries

[2602.06767] Knowledization: Claim-Level Epistemic Control with Admissibility, Source Support, and Real-World Proxy Boundaries Skip to main content Search Submit Donate Log in Computer Science > Information Theory arXiv:2602.06767 (cs) [Submitted on 6 Feb 2026 ( v1 ), last revised 25 Aug 2026 (this version, v2)] Title: Knowledization: Claim-Level Epistemic Control with Admissibility, Source Support, and Real-World Proxy Boundaries Authors: Yan Jiao , Pin-Han Ho , Limei Peng , Yiming Miao View PDF Abstract: Near field mmWave sensing is poised to play a key role in future wireless systems, enabling environment-aware, embodied, and application adaptive operation under stringent form-factor and hardware constraints. However, achieving high spatial resolution in the near field typically requires large antenna arrays, multiple radio frequency (RF) chains, or mechanical scanning, creating a fundamental tension between spatial observability and system simplicity. This paper presents frequency as aperture clip on antenna fabric (FaACAF), a hardware efficient sensing by design architecture that synthesizes spatial aperture through the FaA paradigm using a single RF chain. FaACAF realizes a modular clip on aperture fabric, in which frequency selective clip on modules (CMs) are attached to a shared guided-wave substrate and implicitly coordinated by the instantaneous frequency modulated continuous wave (FMCW) excitation frequency. In this fabric, FMCW signaling simultaneously indexes the sensing aperture and orchestrates uplink/downlink signal distribution and echo multiplexing in a switch free, fully passive, and all analog manner, eliminating RF switching and multichannel front ends. An online self calibration mechanism stabilizes the frequency to aperture mapping under practical attachment variability without requiring full matrix calibration. Two case studies illustrate the robustness of the proposed approach and quantify the predictable sensing margin tradeoffs introduced by modular deployment. Overall, FaACAF demonstrates that near field spatial observability can be scaled through architectural coordination in the frequency domain rather than hardware expansion, providing a reconfigurable and hardware efficient pathway toward embodied sensing and integrated sensing and communication (ISAC) in future wireless systems. Comments: 6,2 Subjects: Information Theory (cs.IT) ; Emerging Technologies (cs.ET) Cite as: arXiv:2602.06767 [cs.IT] (or arXiv:2602.06767v2 [cs.IT] for this version) https://doi.org/10.48550/arXiv.2602.06767 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Pin-Han Ho [ view email ] [v1] Fri, 6 Feb 2026 15:20:24 UTC (526 KB) [v2] Tue, 25 Aug 2026 07:34:53 UTC (1,469 KB) Full-text links: Access Paper: View PDF view license Additional Features Audio Summary Current browse context: cs.IT < prev | next > new | recent | 2026-02 Change to browse by: cs cs.ET math math.IT References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

Related documents

• Knowledization: Claim-Level Epistemic Control with Admissibility, Source Support, and Real-World Proxy Boundaries#670486
• When Belief Stops Updating: A Resolution Theory Account of Ideological Capture#74365
• When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memory#785229
• When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memory#783638
• Learning from Learning from our Mistakes#748823