Measure Once, Model Everywhere: Model-Based Per-Request Resource Consumption for HTTP
arXiv 2607.01246•234ef0f07ed3b615bc6973260dc8859c1038773453ca5d1187530e91acc10432
AI-alignmentAI-governanceCO2eHTTPLLM-gradingacademic-integritybenchmarkingcollective-empiricismdermatology-AIdisagreement-resolutioneducation-technologyenergy-disclosureevaluation-scarcitygenerative-AImodel-registrynginxpartial-credit-promptingper-request-metricspractice-auditingpseudo-rational-cognitionradiology-futuresscalable-oversightsociotechnical-alignmentsustainabilityuniversity-policy
Paper metadata
- arXiv ID
- 2607.01246
- Version
- Not specified by this published record
- Category
- Computer Science — Computers and Society (cs.CY)
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Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 234ef0f07ed3b615bc6973260dc8859c1038773453ca5d1187530e91acc10432
- Enrichment time
- 2026-07-03T07:23:51Z
- AI-assisted enrichment
- Yes
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