Sustainability assessment using multimodal AI agents | Paper Citation Record

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This paper cites Patterns2(9), 100340 (2021) https://doi.org/10.1016/j.

Sustainability assessment using multimodal AI agents Patterns2(9), 100340 (2021) https://doi.org/10.1016/j

Reference 1

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This paper cites Challenges6(1), 117–157 (2015) https://doi.org/10.3390/ challe6010117.

Sustainability assessment using multimodal AI agents Challenges6(1), 117–157 (2015) https://doi.org/10.3390/ challe6010117

Reference 2

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This paper cites In: Proceedings of the 51st Annual International Symposium on Computer Architecture.

Sustainability assessment using multimodal AI agents In: Proceedings of the 51st Annual International Symposium on Computer Architecture

Reference 3

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This paper cites Technical report, GSMA (February 2025).

Sustainability assessment using multimodal AI agents Technical report, GSMA (February 2025)

Reference 4

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Sustainability assessment using multimodal AI agents Social Science Research Network, Rochester, NY (2024)

Reference 5

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This paper cites In: Proceedings of the 49th Annual International Symposium on Computer Architecture.

Sustainability assessment using multimodal AI agents In: Proceedings of the 49th Annual International Symposium on Computer Architecture

Reference 6

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This paper cites https: //www.dell.com/en-us/dt/corporate/social-impact/advancing-sustainability/ climate-action/product-carbon-footprints.htm.

Sustainability assessment using multimodal AI agents https: //www.dell.com/en-us/dt/corporate/social-impact/advancing-sustainability/ climate-action/product-carbon-footprints.htm

Reference 7

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This paper cites In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.

Sustainability assessment using multimodal AI agents In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Reference 8

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This paper cites Technical report, Asia-Pacific Economic Cooperation (February 2004).

Sustainability assessment using multimodal AI agents Technical report, Asia-Pacific Economic Cooperation (February 2004)

Reference 9

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This paper cites One Earth4(12), 1704–1714 (2021) https://doi.org/10.1016/j.oneear.2021.11.007.

Sustainability assessment using multimodal AI agents One Earth4(12), 1704–1714 (2021) https://doi.org/10.1016/j.oneear.2021.11.007

Reference 10

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This paper cites Environmental Science & Technology58(44), 19595–19603 (2024) https://doi.

Sustainability assessment using multimodal AI agents Environmental Science & Technology58(44), 19595–19603 (2024) https://doi

Reference 11

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This paper cites Journal of Industrial Ecology29(3), 955–966 (2025) https://doi.org/10.1111/jiec.70022.

Sustainability assessment using multimodal AI agents Journal of Industrial Ecology29(3), 955–966 (2025) https://doi.org/10.1111/jiec.70022

Reference 12

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This paper cites Accessed 2025-01- 27.

Sustainability assessment using multimodal AI agents Accessed 2025-01- 27

Reference 13

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This paper cites Jinhui, , Singh, N.: Recycling of Spent Lithium-Ion Battery: A Critical Review.

Sustainability assessment using multimodal AI agents Jinhui, , Singh, N.: Recycling of Spent Lithium-Ion Battery: A Critical Review

Reference 14

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This paper cites National Academies Press, Washington, D.C.

Sustainability assessment using multimodal AI agents National Academies Press, Washington, D.C

Reference 15

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This paper cites Waste Management171, 281–291 (2023) https://doi.org/10.1016/j.wasman.2023.08.040.

Sustainability assessment using multimodal AI agents Waste Management171, 281–291 (2023) https://doi.org/10.1016/j.wasman.2023.08.040

Reference 16

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Sustainability assessment using multimodal AI agents Unresolved cited work

Reference 17

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This paper cites In: Proceedings of the 36th Annual 31 ACM Symposium on User Interface Software And Technology.

Sustainability assessment using multimodal AI agents In: Proceedings of the 36th Annual 31 ACM Symposium on User Interface Software And Technology

Reference 18

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Sustainability assessment using multimodal AI agents Unresolved cited work

Reference 19

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This paper cites https://www.fairphone.

Sustainability assessment using multimodal AI agents https://www.fairphone

Reference 20

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Sustainability assessment using multimodal AI agents GPT-4 Technical Report

Reference 21

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Sustainability assessment using multimodal AI agents Gemini: A Family of Highly Capable Multimodal Models

Reference 22

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This paper cites Advances in Neural Information Processing Systems36, 34892–34916 (2023).

Sustainability assessment using multimodal AI agents Advances in Neural Information Processing Systems36, 34892–34916 (2023)

Reference 23

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This paper cites Nature, 1–9 (2025) https://doi.org/10.1038/s41586-025-08866-7.

Sustainability assessment using multimodal AI agents Nature, 1–9 (2025) https://doi.org/10.1038/s41586-025-08866-7

Reference 24

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Sustainability assessment using multimodal AI agents Bandiera abtest: a Cg type: News Feature Subject term: Machine learning, Lab life, Research management

Reference 25

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Sustainability assessment using multimodal AI agents https://github.com/google/ travel-impact-model

Reference 26

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Sustainability assessment using multimodal AI agents https://www.gstatic.com/ gumdrop/sustainability/google-maps-eco-friendly-routing.pdf

Reference 27

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Sustainability assessment using multimodal AI agents https://apps.autodesk

Reference 28

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Sustainability assessment using multimodal AI agents https://appsource

Reference 29

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Sustainability assessment using multimodal AI agents https://makersite.io/

Reference 30

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Sustainability assessment using multimodal AI agents https://www.sluicebox.ai/

Reference 31

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Sustainability assessment using multimodal AI agents https://netzero.imec-int.com/

Reference 32

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Sustainability assessment using multimodal AI agents https://www.2030calculator.com/

Reference 33

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Reference 34

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This paper cites m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks.

Sustainability assessment using multimodal AI agents m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks

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Sustainability assessment using multimodal AI agents https://www.delltechnologies.com/asset/en-us/products/ multi-product/industry-market/pcf-lca-whitepaper.pdf

Reference 36

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This paper cites The International Journal of Life Cycle Assessment21(9), 1218–1230 (2016) https: //doi.org/10.1007/s11367-016-1087-8.

Sustainability assessment using multimodal AI agents The International Journal of Life Cycle Assessment21(9), 1218–1230 (2016) https: //doi.org/10.1007/s11367-016-1087-8

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Sustainability assessment using multimodal AI agents https://www.fairphone

Reference 38

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Sustainability assessment using multimodal AI agents Unresolved cited work

Reference 39

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This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Sustainability assessment using multimodal AI agents Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

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Sustainability assessment using multimodal AI agents SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

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Sustainability assessment using multimodal AI agents Unresolved cited work

Reference 42

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Sustainability assessment using multimodal AI agents In: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems

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Sustainability assessment using multimodal AI agents In: Proceedings of the ACM Web Conference 2023, pp

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This paper cites Environmental Science & Technology59(18), 9113–9122 (2025) https://doi.org/10.1021/acs.est.4c12667.

Sustainability assessment using multimodal AI agents Environmental Science & Technology59(18), 9113–9122 (2025) https://doi.org/10.1021/acs.est.4c12667

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Sustainability assessment using multimodal AI agents https://www

Reference 46

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Sustainability assessment using multimodal AI agents Journal of Chiropractic Medicine15(2), 155–163 (2016) https://doi.org/10.1016/j.jcm.2016.02.012

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Sustainability assessment using multimodal AI agents Proceedings of the National Academy of Sciences121(27), 2311878121 (2024) https://doi.org/10.1073/pnas.2311878121

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Sustainability assessment using multimodal AI agents Scaling Laws for Neural Language Models

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Sustainability assessment using multimodal AI agents Python library

Reference 50

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This paper cites Nature Computational Science5(10), 962–972 (2025) https://doi.org/10.1038/ s43588-025-00849-y.

Sustainability assessment using multimodal AI agents Nature Computational Science5(10), 962–972 (2025) https://doi.org/10.1038/ s43588-025-00849-y

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Sustainability assessment using multimodal AI agents https://www.ifixit.com/

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This paper cites https://www.techpowerup.com/.

Sustainability assessment using multimodal AI agents https://www.techpowerup.com/

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f254ddc6-d3c4-4cef-9e38-da1c600f6d3d · outbound

This paper cites https://laptopmedia.com/.

Sustainability assessment using multimodal AI agents https://laptopmedia.com/

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:36.332806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dcd2f5da-64d8-483e-bfd0-72cb64028d0e · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Sustainability assessment using multimodal AI agents In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:28.507997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04dee4c3-afc9-4e21-8480-1f1fc7c9e3d9 · outbound

This paper cites (2020).https://openreview.net/forum?id=YicbFdNTTyAccessed 2024-11-29.

Sustainability assessment using multimodal AI agents (2020).https://openreview.net/forum?id=YicbFdNTTyAccessed 2024-11-29

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:36.093575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9668be20-285c-453e-984f-3b9ab7b43039 · outbound

This paper cites Segment Anything.

Sustainability assessment using multimodal AI agents Segment Anything

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:28.737853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa9cb16-e7d9-4ddb-a24b-3d7e04112c9e · outbound

This paper cites Energy & Environmental Science7(11), 3674–3682 (2014) https://doi.org/10.1039/C4EE01995D.

Sustainability assessment using multimodal AI agents Energy & Environmental Science7(11), 3674–3682 (2014) https://doi.org/10.1039/C4EE01995D

Reference 58

Resolution: verified exact; doi, observed 2026-08-06T15:03:29.625554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2961ebe2-236d-4da5-97c8-ea7c0fdeb999 · outbound

This paper cites In: Proceedings of the 2009 International Conference on Computer- Aided Design.

Sustainability assessment using multimodal AI agents In: Proceedings of the 2009 International Conference on Computer- Aided Design

Reference 59

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:03:32.906597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e70ae22-740a-473a-9511-b1b6e1384f80 · outbound

This paper cites https://www.energystar.gov/.

Sustainability assessment using multimodal AI agents https://www.energystar.gov/

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:35.796793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65f4983d-67f7-432c-ba15-60155b6a6dd0 · outbound

This paper cites https: //www.epeat.net/.

Sustainability assessment using multimodal AI agents https: //www.epeat.net/

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:35.523883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 951de72c-f52e-4f06-b727-673274bed667 · outbound

This paper cites https://tcocertified.com/.

Sustainability assessment using multimodal AI agents https://tcocertified.com/

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:35.273989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 02fdb682-72f6-49cb-b5a5-b9556a498bf3 · outbound

This paper cites https: //sustainability.aboutamazon.com/devices-carbon-methodology.pdf 35.

Sustainability assessment using multimodal AI agents https: //sustainability.aboutamazon.com/devices-carbon-methodology.pdf 35

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:34.864845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b18a202d-f9e2-4de7-ae98-0e26a456777f · outbound

This paper cites https://www.delltechnologies.com/asset/en-us/products/laptops-and-2-in-1s/ technical-support/dell-xps-17-9730-pcf-datasheet.pdf 36.

Sustainability assessment using multimodal AI agents https://www.delltechnologies.com/asset/en-us/products/laptops-and-2-in-1s/ technical-support/dell-xps-17-9730-pcf-datasheet.pdf 36

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:03:34.680803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers