Paper Citation Record · LEDGER

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead

As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2506.09683.

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

pith.paper-citation-record.v1
2506.09683 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T21:55:48.892467Z

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

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Outbound references

Observation 4622aede-e7f0-4594-a7ad-9632d6e2a250 · outbound

This paper cites The real climate and transformative impact of ict: A critique of estimates, trends, and regulations,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead The real climate and transformative impact of ict: A critique of estimates, trends, and regulations,

Reference 1

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This paper cites Assessing ict global emissions footprint: Trends to 2040 & recommendations,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Assessing ict global emissions footprint: Trends to 2040 & recommendations,

Reference 2

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This paper cites Energy and policy consider- ations for modern deep learning research,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Energy and policy consider- ations for modern deep learning research,

Reference 3

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Observation 2df9f59b-e95f-49c7-a538-8925671d1141 · outbound

This paper cites Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning

Reference 4

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Observation 528f9a13-ddf1-4019-8b1d-5e8b2e2d1c45 · outbound

This paper cites Climate change 2022: Mitigation of climate change,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Climate change 2022: Mitigation of climate change,

Reference 5

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This paper cites Green software is a priority for software practitioners, but still lacks leadership support,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Green software is a priority for software practitioners, but still lacks leadership support,

Reference 6

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This paper cites Towards a framework for carbon- aware virtual machine management,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Towards a framework for carbon- aware virtual machine management,

Reference 7

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This paper cites Mlca: a tool for machine learning life cycle assessment,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Mlca: a tool for machine learning life cycle assessment,

Reference 8

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This paper cites An experimental comparison of software-based power me- ters: focus on cpu and gpu,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead An experimental comparison of software-based power me- ters: focus on cpu and gpu,

Reference 9

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Observation 5134f49b-ff56-413b-a2ee-84334f6d6545 · outbound

This paper cites Towards sustainable ai: Monitoring and analysis of carbon emissions in machine learning algorithms,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Towards sustainable ai: Monitoring and analysis of carbon emissions in machine learning algorithms,

Reference 10

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This paper cites Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools,

Reference 11

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This paper cites Software carbon intensity (sci) specification project,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Software carbon intensity (sci) specification project,

Reference 12

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This paper cites Watts up? pro ac power meter for automated energy recording: A product review,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Watts up? pro ac power meter for automated energy recording: A product review,

Reference 13

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This paper cites Kill a watt,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Kill a watt,

Reference 14

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This paper cites Powerblade: A low- profile, true-power, plug-through energy meter,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Powerblade: A low- profile, true-power, plug-through energy meter,

Reference 15

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This paper cites An energy metering and measurement soc with a novel low-power dsp architecture,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead An energy metering and measurement soc with a novel low-power dsp architecture,

Reference 16

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Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead A review of energy measurement approaches,

Reference 17

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This paper cites Rapl in action: Experiences in using rapl for power measurements,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Rapl in action: Experiences in using rapl for power measurements,

Reference 18

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This paper cites Turbostat(8),.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Turbostat(8),

Reference 19

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This paper cites Energy efficiency of personal computers: a comparative analysis,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Energy efficiency of personal computers: a comparative analysis,

Reference 20

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Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Unresolved cited work

Reference 21

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This paper cites Cloud jewels: Estimating kwh in the cloud,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Cloud jewels: Estimating kwh in the cloud,

Reference 22

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This paper cites Thermal design power (tdp) in intel® processors,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Thermal design power (tdp) in intel® processors,

Reference 23

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This paper cites Towards the systematic reporting of the energy and carbon footprints of machine learning,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Towards the systematic reporting of the energy and carbon footprints of machine learning,

Reference 24

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This paper cites Estimating aws ec2 instances power consumption,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Estimating aws ec2 instances power consumption,

Reference 25

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This paper cites Spec power®,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Spec power®,

Reference 26

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This paper cites Computing server power modeling in a data center: Survey, taxonomy, and performance evaluation,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Computing server power modeling in a data center: Survey, taxonomy, and performance evaluation,

Reference 27

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This paper cites How energy consumption in the cloud data center is calculated,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead How energy consumption in the cloud data center is calculated,

Reference 28

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Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Energy consumption in cloud computing data centers,

Reference 29

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This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 30

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Observation 2d79571d-f619-4930-b84c-0e63acd0baf9 · outbound

This paper cites Reducing the carbon impact of generative ai inference (today and in 2035),.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Reducing the carbon impact of generative ai inference (today and in 2035),

Reference 31

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This paper cites Power provisioning for a warehouse-sized computer,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Power provisioning for a warehouse-sized computer,

Reference 32

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This paper cites Esave: Estimating server and virtual machine energy,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Esave: Estimating server and virtual machine energy,

Reference 33

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Observation 6828d46d-3ae1-4dae-b9e1-dc95ade366af · outbound

This paper cites Customer carbon footprint tool,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Customer carbon footprint tool,

Reference 34

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Observation 8cf26e31-cbdb-4b0e-890d-98d4356b4371 · outbound

This paper cites Emissions impact dashboard,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Emissions impact dashboard,

Reference 35

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Observation 1cab5c44-e201-4599-a88b-d0f3ca2cdb2c · outbound

This paper cites Carbon footprint,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Carbon footprint,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.980255Z

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Observation 9c85d6ee-0392-45b8-be58-c7300aa49c87 · outbound

This paper cites Charting the path towards sustain- able ai with azure machine learning resource metrics,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Charting the path towards sustain- able ai with azure machine learning resource metrics,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.799761Z

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This paper cites Collect nvidia gpu metrics,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Collect nvidia gpu metrics,

Reference 38

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This paper cites pyjoules 0.5.1,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead pyjoules 0.5.1,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.276371Z

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This paper cites nvmldevicegetpowerusage,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead nvmldevicegetpowerusage,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:08.988019Z

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Observation 85142e25-354f-4b99-b1d6-8ca12bc453c2 · outbound

This paper cites Codecarbon,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Codecarbon,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:08.777618Z

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Observation d97b19d1-0b9d-49e8-afe6-76be7cf78953 · outbound

This paper cites Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:08.565423Z

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This paper cites Mlco2 impact,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Mlco2 impact,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:08.255284Z

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Observation bbf4285b-be7a-44bb-8b69-b26ef55b331a · outbound

This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

Reference 44

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This paper cites Cloud carbon footprint,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Cloud carbon footprint,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.993437Z

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This paper cites Lean ict,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Lean ict,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.818051Z

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Observation c1bd1be1-acf5-4b4d-9919-abc877d0bdbc · outbound

This paper cites Cumulator—a tool to quantify and report the carbon foot- print of machine learning computations and communication in academia and healthcare,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Cumulator—a tool to quantify and report the carbon foot- print of machine learning computations and communication in academia and healthcare,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.777825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a421b9e-d70f-4222-b2d3-4afa1bc4e6b0 · outbound

This paper cites Tracarbon,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Tracarbon,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.750268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 707ecdb8-bc7c-461a-9468-1a35f7f14201 · outbound

This paper cites Green algorithms: quanti- fying the carbon footprint of computation,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Green algorithms: quanti- fying the carbon footprint of computation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.332609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 179324c3-4c54-4b88-92d6-ddb598ba721b · outbound

This paper cites Powerjoular and joularjx: Multi-platform software power monitoring tools,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Powerjoular and joularjx: Multi-platform software power monitoring tools,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.724413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07a50a4a-ca8c-4428-83d4-8996b4a4fd22 · outbound

This paper cites Likwid: A lightweight performance-oriented tool suite for x86 multicore environments,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Likwid: A lightweight performance-oriented tool suite for x86 multicore environments,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.708720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 795ea9ea-7f80-4745-8aa8-b1a1324ea44e · outbound

This paper cites Pmt: Power measurement toolkit,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Pmt: Power measurement toolkit,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.694224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3df0e484-b008-4762-9d15-6f8458e03669 · outbound

This paper cites Rocm system management interface (rocm smi) library,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Rocm system management interface (rocm smi) library,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.681656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e045af48-63ab-4cf6-ac65-d0ff718f1865 · outbound

This paper cites Smartwatts: Self-calibrating software-defined power meter for containers,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Smartwatts: Self-calibrating software-defined power meter for containers,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.668447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54304c6b-9580-4dc5-9dc3-2be5481f083b · outbound

This paper cites Carbon footprint,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Carbon footprint,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.655562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8396c75f-fe9c-427a-8002-e746c73c7da8 · outbound

This paper cites Co2 signal,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Co2 signal,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.642797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11a3282f-c8e6-4735-a72f-72bd95f60d10 · outbound

This paper cites Electricity maps api,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Electricity maps api,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.630063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df01f3d1-e990-40a9-b5e5-eadfe22d0707 · outbound

This paper cites Real-time data can help to track and reduce emissions from electricity sector,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Real-time data can help to track and reduce emissions from electricity sector,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.617709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 295ff6b6-a0cf-4954-89da-dca84e869b87 · outbound

This paper cites Embodied emissions,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Embodied emissions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.603146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f50096b-eadb-4580-9772-dc2cc477ef6c · outbound

This paper cites Act: designing sustainable computer systems with an architectural carbon modeling tool,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Act: designing sustainable computer systems with an architectural carbon modeling tool,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.590250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a842f4f-cc6f-421a-b2e7-42c94a2d2d73 · outbound

This paper cites Measuring processor power tdp vs.acp,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Measuring processor power tdp vs.acp,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.576834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bbf8698-1716-40cf-a3e1-79736048cd08 · outbound

This paper cites Software carbon intensity (sci) spec- ification achieves iso standard status, advancing green software development,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Software carbon intensity (sci) spec- ification achieves iso standard status, advancing green software development,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.564008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06716f16-3e03-493d-a3df-d63befa53117 · outbound

This paper cites Comet integration,.

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead Comet integration,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:07.550845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation d97a59c8-3fc7-4ae0-a160-0ec415f8cbab · inbound

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development cites this paper.

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:48.897636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.