Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:42:15.089201Z
Paper Citation Record · LEDGER
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2412.17830.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T02:00:19.138117Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
18 of 18 outbound references displayed
- verified exact2
- verified fuzzy9
- unresolved5
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 445eff78-b688-440b-bde9-394ee2f79223 · outbound
This paper cites Cambium 2022 Scenario Descriptions and Documentation.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Cambium 2022 Scenario Descriptions and Documentation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.679178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9dfd9412-1201-4ccd-9d3d-50f766b0b3a4 · outbound
This paper cites Evaluating energy and power profiling techniques for HPC workloads.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Evaluating energy and power profiling techniques for HPC workloads
Reference 4
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-11T17:42:15.445212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5645f033-1e83-4647-ac7c-d7377e50a9bc · outbound
This paper cites Global temperature change.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Global temperature change
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.642684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 79a4f05f-888e-4d6c-a1f7-bcb06477a991 · outbound
This paper cites org / 10.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning org / 10
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:15.048403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdc34fa7-afbe-42de-874b-ee63c2c7901c · outbound
This paper cites Power Hungry Processing: Watts Driving the Cost of AI Deploy- ment?.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Power Hungry Processing: Watts Driving the Cost of AI Deploy- ment?
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:15.051829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42dce3c0-9b4b-463c-93c5-2dbec5561134 · outbound
This paper cites In Threat to Climate Safety, Michigan to Woo Tech Data Centers with New Laws.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning In Threat to Climate Safety, Michigan to Woo Tech Data Centers with New Laws
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.609513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 54d4c6ff-daa0-474d-aab6-7926350d6837 · outbound
This paper cites https://doi.org/10.25984/2329316.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning https://doi.org/10.25984/2329316
Reference 14
- Resolution
- verified exact
- doi, observed 2026-08-11T17:42:15.126174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1c2ba5fc-4075-4f69-bd47-6fa91c6d2057 · outbound
This paper cites Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:15.075194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6768546e-93aa-4e44-bf03-fe2d5fd59e21 · outbound
This paper cites A Systematic Review of Green AI.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning A Systematic Review of Green AI
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:15.079253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e224cde5-7332-47ef-87a7-d4edf7f3105c · outbound
This paper cites Energy and Carbon Considerations of Fine-Tuning BERT.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Energy and Carbon Considerations of Fine-Tuning BERT
Reference 17
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T17:42:15.581621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cfea4c86-eef9-4e48-b76a-e77f5b2f4221 · outbound
This paper cites NASA Analysis Confirms a Year of Monthly Temperature Records.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning NASA Analysis Confirms a Year of Monthly Temperature Records
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.557752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6dbc9252-97d3-4cfe-8984-fc20936dfd4d · outbound
This paper cites Tue, a new energy-efficiency metric applied at ornl’s jaguar.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Tue, a new energy-efficiency metric applied at ornl’s jaguar
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.620520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d9b874da-bc7a-4d0e-9db8-10b80b8490f8 · outbound
This paper cites Prediction and characteriza- tion of application power use in a high-performance computing environment.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Prediction and characteriza- tion of application power use in a high-performance computing environment
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.702204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 33b974e8-a45f-460a-b8ba-b7744751bd47 · outbound
This paper cites Measuring and benchmarking power consumption and energy efficiency.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Measuring and benchmarking power consumption and energy efficiency
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.631735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e851229-5e5c-459a-8e8c-8a27dce5515e · outbound
This paper cites Attributional & Consequential Life Cycle Assessment: Definitions, Conceptual Characteristics and Modelling Restrictions.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Attributional & Consequential Life Cycle Assessment: Definitions, Conceptual Characteristics and Modelling Restrictions
Reference 2021
- Resolution
- verified exact
- doi, observed 2026-08-11T17:42:15.139698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 312a89df-b5df-46c9-b6bc-f3d71d41b87a · outbound
This paper cites Compute trends across three eras of machine learning.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Compute trends across three eras of machine learning
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.594587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0bb3375f-5a3f-48d5-995d-7d69117f0379 · outbound
This paper cites Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:15.006008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f1be795-6105-46bd-b39d-9c9087ead966 · outbound
This paper cites AI is Exhausting the Power Grid. Tech Firms are Seeking a Miracle Solution.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning AI is Exhausting the Power Grid. Tech Firms are Seeking a Miracle Solution
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:42:15.667680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 629c6ba3-6182-4a41-ba7a-dc37fd2cba18 · inbound
Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters cites this paper.
Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:47:28.094383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 88a04a0c-54bb-45e0-8d1e-1bf3cf8698ea · inbound
Federated Fair Trade Energy: Speculative Fabulation for a Planet with Limits cites this paper.
Federated Fair Trade Energy: Speculative Fabulation for a Planet with Limits A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T02:00:21.317000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.