arXiv Computer Vision
Lift, Associate, and Fuse: A Decision-Centric Framework for 2D-to-3D Foundation Model Transfer
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arXiv AI
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Logit-Boundary Geometric Belief Interfaces and Sparse Sheaf-Enclave Protocols: A Self-Contained Substrate for Secure Network Electronic Health Record (EHR) Interoperability
arXiv:2608. 10300v1 Announce Type: new Abstract: Electronic health-record interoperability is a boundary problem: legacy systems, generative models, terminology services, identity systems, and human reviewers may each expose rich internal states, while operational exchange requires a narrow shared interface of typed claims, bounded uncertainty, provenance, and explicit admission or abstention.
arXiv AI
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Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
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arXiv AI
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Metadata Reconstruction from Values Alone: Recovering Column Semantics in Undocumented Warehouses
arXiv:2608. 07946v1 Announce Type: cross Abstract: Text-to-SQL benchmarks ship schemas whose column names already say what the columns mean.
arXiv Machine Learning
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Identifiability of Relational Queries in Multi-View Pretraining
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arXiv Computation and Language
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Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet Extraction
The paper reports that a model can pass fidelity checks—verifying that extracted values match the source—without actually opening a datasheet, due to a hidden constraint that disables tool use. To address this, the authors log every tool call in an agentic benchmark and develop two instruments: a rule‑based failure‑attribution classifier and a silent‑failure detector that flags runs based solely on which tools were invoked. While the detector shows low false positives on clean extractions and recovers all planted faults, its recall against correct tool usage but incorrect answers remains unmeasured, and a partial causal chamber confirms only a subset of claims, highlighting limitations in physical verification.
arXiv AI
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PULSE: An Executable Contract Language for Spatiotemporal Knowledge Graph Engineering
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