This standard specifies requirements for evaluating the metering of tokens for Large Language Model (LLM) inference. The metering requirements address the full token lifecycle and align with Artificial Intelligence (AI) cloud service token engineering capability requirements on production, flow orchestration, application integration, and governance. The standard defines metrics for source trustworthiness, transmission integrity, processing consistency, and usage traceability. It also specifies lifecycle management requirements for token production, distribution, consumption, and retirement. The standard applies to token providers, cloud service operators, and enterprise consumers in public, private, and hybrid cloud environments.
- Standard Committee
- C/DTSC - Digital Trust Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-09-25
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/DTSC - Digital Trust Standards Committee
- Working Group
-
TEST - Standard for a Trustworthiness Evaluation Framework for Semantic Tokens in Large Language Model Inference
- IEEE Program Manager
- Michael Kipness
Contact Michael Kipness - Working Group Chair
- YI ZHUANG
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
No Active Projects
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
No Active Standards
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
No Superseded Standards
These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.
No Inactive-Withdrawn Standards
These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
No Inactive-Reserved Standards