Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning
As of 12 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2604.07345.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T16:23:12.837923Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
54 of 54 outbound references displayed
- verified exact19
- verified fuzzy26
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch9
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation fdddabd8-63ff-4001-a1c0-2bb04f16b057 · outbound
This paper cites 2024 United States Data Center Energy Usage Report.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning 2024 United States Data Center Energy Usage Report
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.871905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f764ff06-9dfa-46b8-9cdc-01074d4a4120 · outbound
This paper cites Koomey, Eric R.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Koomey, Eric R
Reference 2
- Resolution
- verified exact
- doi, observed 2026-05-10T17:25:38.911467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 857112e3-0bf0-4d61-8413-702c7c5cc62e · outbound
This paper cites Energy and AI.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Energy and AI
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.890422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 42d8e504-5898-4dd6-8bea-950d92ab9322 · outbound
This paper cites DOE Releases New Report Eval- uating Increase in Electricity Demand from Data Centers.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning DOE Releases New Report Eval- uating Increase in Electricity Demand from Data Centers
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.842261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4a030242-ecbd-4ad6-bc9f-fc548df75172 · outbound
This paper cites Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-07T01:15:57.572881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 499dd05f-39d1-4e4f-920a-56b349d64c33 · outbound
This paper cites Power Stabilization for AI Training Datacenters.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Power Stabilization for AI Training Datacenters
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.932029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a2340095-f469-4621-bfb3-fb98951c4e45 · outbound
This paper cites Incident re- view, considering simultaneous voltage-sensitive load reductions.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Incident re- view, considering simultaneous voltage-sensitive load reductions
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.896700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8e50a6e0-04a0-426d-9f38-cf5178d763d9 · outbound
This paper cites Machine learning-based cloud resource allocation al- gorithms: a comprehensive comparative review.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Machine learning-based cloud resource allocation al- gorithms: a comprehensive comparative review
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.922845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d814c825-f295-48ee-a276-a4acdd76149d · outbound
This paper cites Data center power supply systems: From grid edge to point-of-load.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Data center power supply systems: From grid edge to point-of-load
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.894827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3aa1c90d-acc5-4826-983e-482adf295194 · outbound
This paper cites Sources of data center energy estimates: A comprehensive review.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Sources of data center energy estimates: A comprehensive review
Reference 10
- Resolution
- verified exact
- doi, observed 2026-05-10T17:25:38.925422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 30847615-7e0e-4925-b0a8-f7917fb7d7ca · outbound
This paper cites Dynamic model and converter-based emulator of a data center power distribution system.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Dynamic model and converter-based emulator of a data center power distribution system
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.882768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0c76c0e9-c96c-4cc5-a2cd-07a2546bfd8d · outbound
This paper cites Electromagnetic transient modeling of large data cen- ters for grid-level studies.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Electromagnetic transient modeling of large data cen- ters for grid-level studies
Reference 12
- Resolution
- verified exact
- doi, observed 2026-05-10T17:25:38.897728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7c7abb3b-80db-4b11-8138-20e68d5877a5 · outbound
This paper cites Short-Term Load Forecasting for AI-Data Center.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Short-Term Load Forecasting for AI-Data Center
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.874466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 009c0ec9-5c1c-41aa-9864-f46edda4f9dd · outbound
This paper cites Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.878577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5b3b5de4-dcd5-4e63-b553-64763848974b · outbound
This paper cites Characterizing power management opportunities for llms in the cloud.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Characterizing power management opportunities for llms in the cloud
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.886970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 27c0818a-19c9-42d0-9ebb-6c3ab7df6676 · outbound
This paper cites Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Lev- skaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, and Jeff Dean.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Lev- skaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, and Jeff Dean
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:25:38.937055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7ef4f3bf-628d-4d8f-9052-473ae2b98d14 · outbound
This paper cites Azure public dataset: Azure llm inference trace 2023.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Azure public dataset: Azure llm inference trace 2023
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.893758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 54184e8b-b88b-4de6-8390-1a769c922fc5 · outbound
This paper cites Characterization of large lan- guage model development in the datacenter.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Characterization of large lan- guage model development in the datacenter
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.900255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 15866b53-5a3f-4ffb-9b01-2b80c6c72391 · outbound
This paper cites Acmetrace: Gpu workload traces from shanghai ai lab.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Acmetrace: Gpu workload traces from shanghai ai lab
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.829565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6d6951a5-f460-4cc9-836e-a43f3efcb9c7 · outbound
This paper cites MLaaS in the wild: Workload analysis and scheduling in Large-Scale het- erogeneous GPU clusters.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning MLaaS in the wild: Workload analysis and scheduling in Large-Scale het- erogeneous GPU clusters
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.860083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 98f5f5af-8776-4510-8bc2-0ac287490bcc · outbound
This paper cites Alibaba cluster trace gpu 2020.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Alibaba cluster trace gpu 2020
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.856902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1f9d5eb1-f555-4763-9ac5-d122d5c48502 · outbound
This paper cites BurstGPT: A real-world workload dataset to optimize LLM serving systems.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning BurstGPT: A real-world workload dataset to optimize LLM serving systems
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:25:38.905183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f0172c4b-2fe8-44d0-a067-b9a5cf35c091 · outbound
This paper cites BurstGPT: A chatgpt (gpt-3.5) & gpt-4 workload trace to optimize llm serving systems.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning BurstGPT: A chatgpt (gpt-3.5) & gpt-4 workload trace to optimize llm serving systems
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.903591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 41026551-84b8-4f86-b6f4-849e0c54434d · outbound
This paper cites Awesome-CloudComputing-Datasets: A curated list of cloud computing datasets.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Awesome-CloudComputing-Datasets: A curated list of cloud computing datasets
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.883408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 26e2e685-2bbc-4b7b-9d6e-aeb0a6723a6c · outbound
This paper cites Dataset of generative ai workload power profiles.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Dataset of generative ai workload power profiles
Reference 25
- Resolution
- verified exact
- doi, observed 2026-05-10T17:25:38.934130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2bd99d36-2b16-4289-a3e8-25515972eb67 · outbound
This paper cites At- lanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), 5th ed.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning At- lanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), 5th ed
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.887495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8bf6f151-cdab-49bf-947d-9aabbc009857 · outbound
This paper cites WattAMeter.
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.880275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation df467dcf-1e43-442d-a386-a33b7ddbedc8 · outbound
This paper cites NLR HPC Resources.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning NLR HPC Resources
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.864562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e3304452-a3b1-4a80-94ac-5dc4c804d314 · outbound
This paper cites url: https://docs.nvidia.com/deploy/nvml-api.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning url: https://docs.nvidia.com/deploy/nvml-api
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.906871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7402ee15-69c3-4daf-816c-46b5b0c9e953 · outbound
This paper cites Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:25:38.919613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 87cc3047-0f3c-4c11-a748-ce0df2af1e5d · outbound
This paper cites Rapl in action: Experiences in using rapl for power measurements.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Rapl in action: Experiences in using rapl for power measurements
Reference 31
- Resolution
- verified exact
- doi, observed 2026-05-10T17:25:38.901054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9c80ad4e-8761-4737-abef-e55c3b392a95 · outbound
This paper cites A validation of dram rapl power mea- surements.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning A validation of dram rapl power mea- surements
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.890823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 43162bcd-cfef-42eb-a638-355d3d8dbccb · outbound
This paper cites MLPerf Training Benchmark.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning MLPerf Training Benchmark
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.916186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 97bf7094-2e32-4829-b3bf-178fb3b0de76 · outbound
This paper cites Mlperf training benchmark v4.0.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Mlperf training benchmark v4.0
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.858216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 353345b6-4b60-4d6e-8e87-9be0f23fa54a · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T17:25:38.908875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 04a41aaa-a676-42c9-895d-fcaca20e0e98 · outbound
This paper cites SCROLLS: Standardized CompaRison Over Long Language Sequences.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning SCROLLS: Standardized CompaRison Over Long Language Sequences
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.870371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 23ecc4f7-3d67-4307-94b7-3be5bd13c191 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning LoRA: Low-Rank Adaptation of Large Language Models
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T17:25:38.844500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ac9d0b15-f7cf-48e0-bc17-1136a839b053 · outbound
This paper cites Zero-offload: Democratizing billion-scale model training.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Zero-offload: Democratizing billion-scale model training
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.845893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f90e7d24-298c-4e6c-a3a2-7335813197ff · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:21:01.130308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b5f79345-8319-42d1-93bb-828519a6ed1b · outbound
This paper cites Mlcommons training: Reference implementations of mlperf.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Mlcommons training: Reference implementations of mlperf
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.877236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 00658988-ccf1-4cf2-8028-d7dca793c69e · outbound
This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Efficient Memory Management for Large Language Model Serving with PagedAttention
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T15:03:08.022500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 23bb902b-b226-4847-9ae0-18ebf252fa0c · outbound
This paper cites What are tokens and how to count them?.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning What are tokens and how to count them?
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:56:00.200843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 68294069-587c-4f76-8370-e2db3f3dce25 · outbound
This paper cites What is a context window?.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning What is a context window?
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.873303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d445c7dc-fdc6-4914-9f9e-fc7ec07ed64b · outbound
This paper cites AI Load Dynamics--A Power Electronics Perspective.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning AI Load Dynamics--A Power Electronics Perspective
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.856703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 623c44bd-d073-4615-b74c-c854be2e83be · outbound
This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:25:38.866662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9b1e3643-8abb-4328-8a60-593b7689501c · outbound
This paper cites Scherfke and O.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Scherfke and O
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.825596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f3154c7-242c-4c6f-bce3-cbb0f87bd7b3 · outbound
This paper cites Nvidia h100 tensor core gpu - datasheet.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Nvidia h100 tensor core gpu - datasheet
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.849708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fa404549-dbc1-474a-b665-69715b373abe · outbound
This paper cites 4th generation amd epyc™processors.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning 4th generation amd epyc™processors
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.838323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 29df97de-c2ad-4b41-bb0b-e53716fe38f0 · outbound
This paper cites Zero: Memory optimizations toward training trillion parameter models.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Zero: Memory optimizations toward training trillion parameter models
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.875790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 724b02f6-121e-478a-824e-ed1d845f405d · outbound
This paper cites Generalized Slow Roll for Tensors.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Generalized Slow Roll for Tensors
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T17:25:38.853039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4e60707d-e672-44e5-b30c-e76015681b7b · outbound
This paper cites Instructcoder: Instruction tuning large language models for code editing.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Instructcoder: Instruction tuning large language models for code editing
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.870685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c33fa774-0ebf-4a97-9b9e-5a1e26a65db4 · outbound
This paper cites mlperf-inference-llama2-data.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning mlperf-inference-llama2-data
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.867723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4de85c33-4c34-49c6-bb1d-5c07e502a74c · outbound
This paper cites gpu-burn.
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T10:41:44.853306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d68b6b45-7b58-42e6-93fd-abc22296620f · outbound
This paper cites Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units.
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:25:38.849586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation b77acf86-e333-4a50-b989-defa067337a9 · inbound
Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions cites this paper.
Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:00:15.742001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d7bc5b22-79f5-4a84-80b6-d1827a50c576 · inbound
EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry cites this paper.
EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T16:31:03.084463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a4a3df49-c921-4204-8d54-bba239dfccbe · inbound
Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres cites this paper.
Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:09:41.853002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.