Energy-Equipartition Sampling (EES)

• Energy-Equipartition Sampling (EES) is a term mentioned without a defined methodology or recognized calibration in high-energy detector research or type inference studies.
• The literature does not associate EES with established physical models, measurement procedures, or algorithmic frameworks in transition radiation detection.
• The absence of formal algorithms and empirical evidence in current studies indicates that applying EES remains speculative and demands further investigative clarification.

Energy-Equipartition Sampling (EES) is not addressed, described, or defined in the provided literature. The term does not appear in either the detailed R&D on X-ray Transition Radiation Identification Detectors (XTRIDE) involving MPGD-based Transition Radiation Detectors (Kasper et al., 7 Nov 2025) or in the systems-level exposition of type inference in software binaries (also using the XTRIDE acronym) (Seidel et al., 9 Mar 2026). Neither manuscript presents algorithms, physical models, or measurement procedures explicitly referred to as Energy-Equipartition Sampling, nor do they describe a sampling methodology by that name or with its expected physical or algorithmic signatures. Therefore, as of the referenced works, there is no recognized technical or methodological entity corresponding to "Energy-Equipartition Sampling" in either the high-energy detector R&D or in the context of high-throughput type inference for binaries.

If referencing EES in the context of transition radiation detection or high-performance type inference, it is necessary to clarify that the term does not denote a procedure, calibration, or sampling scheme documented within these investigations. Any inferences about the possible meaning or application of EES within these contexts would be speculative and unwarranted on the basis of the provided materials.