Paper Citation Record · LEDGER

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.09375.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.09375 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:36:37.498182Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:52:19.222000Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

verified exact3
verified fuzzy31
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 23da2ee4-3ca6-4554-a48a-b9264324a7aa · outbound

This paper cites an unresolved cited work.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:36:38.052270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efcec344-ae2e-4e98-8a7e-01789a3625c7 · outbound

This paper cites Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infras- tructures.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infras- tructures

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:38.038312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ee3e675-7761-48d6-b868-f37869a156f5 · outbound

This paper cites The Datacenter as a Computer.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters The Datacenter as a Computer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:38.024747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ce8a58d-288d-4059-a6f4-be8de98c0a30 · outbound

This paper cites PowerMon 2: Fine- grained, Integrated Power Measurement.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters PowerMon 2: Fine- grained, Integrated Power Measurement

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:38.011114Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e257898-1660-4e29-a727-4310e13172f9 · outbound

This paper cites Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.996764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5a9dd2b-7d3d-45f4-9651-35e163b82339 · outbound

This paper cites Estimating the Energy Footprint of Software Systems: a Primer.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Estimating the Energy Footprint of Software Systems: a Primer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:36:37.361333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97af9e4-65c9-46ad-ac39-dfdca33e491d · outbound

This paper cites Hanebutte, Rahul Khanna, and Christian Le.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Hanebutte, Rahul Khanna, and Christian Le

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.982194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ae6629-e29a-406c-ac3a-7dadd5f473fd · outbound

This paper cites Nextflow enables reproducible computational workflows.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Nextflow enables reproducible computational workflows

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.968948Z

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Observation c7887bfb-e741-4ed8-94fb-dbd39ef2f3a1 · outbound

This paper cites An Empirical Evaluation of the Energy and Performance Overhead of Monitoring Tools on Docker-Based Systems.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters An Empirical Evaluation of the Energy and Performance Overhead of Monitoring Tools on Docker-Based Systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.955188Z

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Observation 1172bc27-0175-4518-a181-bb41c985a06b · outbound

This paper cites Durillo, Hamid Mohammadi Fard, and Radu Prodan.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Durillo, Hamid Mohammadi Fard, and Radu Prodan

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.925234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee21438b-bb60-41a3-af28-0dfeac14d933 · outbound

This paper cites Fellows Yates, Thiseas C.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Fellows Yates, Thiseas C

Reference 11

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Source-reported events for the cited work

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Observation 1639d842-8b92-4e13-a290-664b2ee2043c · outbound

This paper cites Blair, and Adrian Friday.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Blair, and Adrian Friday

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.903071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52d312b7-c19a-4d32-b04d-4d4b926c72b5 · outbound

This paper cites DeepTheft: Stealing DNN Model Architectures through Power Side Channel.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters DeepTheft: Stealing DNN Model Architectures through Power Side Channel

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:36:37.578011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7233e63-1360-48b6-b724-ab9413c58da1 · outbound

This paper cites Examining the Challenges of Scientific Workflows.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Examining the Challenges of Scientific Workflows

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.890202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d0bb39b-b9ce-4e73-8871-b1a10c75251d · outbound

This paper cites An Energy Efficiency Feature Survey of the Intel Haswell Processor.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters An Energy Efficiency Feature Survey of the Intel Haswell Processor

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.877533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18da3bea-a5dd-4e0a-b7e6-2a6981c79b16 · outbound

This paper cites An experimental comparison of software-based power meters: focus on CPU and GPU.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters An experimental comparison of software-based power meters: focus on CPU and GPU

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.864376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ae095a2-53eb-4ebc-a97b-cf232a6994c1 · outbound

This paper cites Rapid and accurate energy models through cal- ibration with IPMI and RAPL.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Rapid and accurate energy models through cal- ibration with IPMI and RAPL

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.850823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b4bba12-5753-4b22-b75c-69f0a9713698 · outbound

This paper cites Bi-Objective Optimization of Data-Parallel Applications on Heteroge- neous HPC Platforms for Performance and Energy Through Workload Distribution.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Bi-Objective Optimization of Data-Parallel Applications on Heteroge- neous HPC Platforms for Performance and Energy Through Workload Distribution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.837421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bebc560b-cdf7-4bf3-b9cf-7b5e788c8b13 · outbound

This paper cites Nurminen, and Zhonghong Ou.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Nurminen, and Zhonghong Ou

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.823968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56210223-fe70-458d-a433-305e6dd473d9 · outbound

This paper cites Laros, Phil Pokorny, and David DeBonis.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Laros, Phil Pokorny, and David DeBonis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.810557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abdd1f21-bc18-4022-86a3-fc0db04a9a3a · outbound

This paper cites Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:36:37.559289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bc3118b-c393-4b92-8a3a-03a7f58d0282 · outbound

This paper cites Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.797739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63255eb2-0fc1-4fb9-af09-37e4ceb7f01d · outbound

This paper cites A Tax- onomy and Survey of Power Models and Power Modeling for Cloud Servers.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters A Tax- onomy and Survey of Power Models and Power Modeling for Cloud Servers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.784060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52186c6c-cd56-48b2-a7f7-40d72baa3254 · outbound

This paper cites PLATYPUS: Software-based Power Side-Channel Attacks on x86.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters PLATYPUS: Software-based Power Side-Channel Attacks on x86

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.771240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2add48f4-c1c5-4bb0-aac6-117679f5f5a5 · outbound

This paper cites Scientific Work- flows: Business as Usual? In Umeshwar Dayal, Johann Eder, Jana Koehler, and Hajo A.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Scientific Work- flows: Business as Usual? In Umeshwar Dayal, Johann Eder, Jana Koehler, and Hajo A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.758363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99401aab-1e32-48f9-ba6e-0f9df8728a22 · outbound

This paper cites Hall, Christopher H.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Hall, Christopher H

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.744899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f1d0c38-59e9-4142-97ca-7bba20a0c850 · outbound

This paper cites A Survey of Power and Energy Predictive Models in HPC Systems and Applications.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters A Survey of Power and Energy Predictive Models in HPC Systems and Applications

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.731668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6b1cfa6-ecc2-4315-8145-519e78943d64 · outbound

This paper cites an unresolved cited work.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:36:37.717346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38896b0e-4a24-4bb9-b4a8-a84c6fb3f386 · outbound

This paper cites Energy-Aware Workflow Scheduling Using Frequency Scaling.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Energy-Aware Workflow Scheduling Using Frequency Scaling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.704241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91a5f1c9-b7c4-48f5-92a6-fe05444ff494 · outbound

This paper cites An Introduction to Docker and Analysis of its Performance.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters An Introduction to Docker and Analysis of its Performance

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.691309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5451b5be-a450-4929-be7c-f1f16d4475cc · outbound

This paper cites Energy Efficiency Aspects of the AMD Zen 2 Architecture.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Energy Efficiency Aspects of the AMD Zen 2 Architecture

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:36:37.539513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db9e51c6-7e28-4d00-8e16-6ce289063a67 · outbound

This paper cites Quality Assessment of GPU Power Pro- filing Mechanisms.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Quality Assessment of GPU Power Pro- filing Mechanisms

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.677066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 063479fa-f317-40b4-b3ab-878662aace36 · outbound

This paper cites A survey of Kubernetes scheduling algorithms.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters A survey of Kubernetes scheduling algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.662077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b197878a-16e1-4d13-a106-8b3cbc821678 · outbound

This paper cites Nextflow in Bioinformatics: Execu- tors Performance Comparison Using Genomics Data.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Nextflow in Bioinformatics: Execu- tors Performance Comparison Using Genomics Data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.648348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee43ea56-b5c9-4dbd-8943-1b05e665af8d · outbound

This paper cites Assessing global Sentinel- 2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Assessing global Sentinel- 2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.634396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9a87a7f-99b3-4697-98f6-cd0513741076 · outbound

This paper cites The Galaxy platform for accessible, reproducible and col- laborative biomedical analyses: 2022 update.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters The Galaxy platform for accessible, reproducible and col- laborative biomedical analyses: 2022 update

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.620297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c48b1bb2-c846-45c4-b747-a383d211d76c · outbound

This paper cites Tanenbaum.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Tanenbaum

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.606181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7abe0f34-628a-4a93-88d8-43eda6176d3c · outbound

This paper cites Series Title: Lecture Notes in Computer Science.

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters Series Title: Lecture Notes in Computer Science

Reference 196

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:36:37.941805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation cc8f5797-7231-4ca1-a4bb-53d627248431 · inbound

What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools cites this paper.

What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:06:24.556144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ffd5a4d-b1bf-46c4-930f-de660ef6fdb0 · inbound

Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems cites this paper.

Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:55:23.539182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.