Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:32.641198Z
Paper Citation Record · LEDGER
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
As of 15 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2501.14334.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:09.046047Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
81 of 81 outbound references displayed
- verified exact4
- verified fuzzy45
- unresolved31
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation e230a67c-1282-41d2-bf32-f201b80bcfda · outbound
This paper cites Capgemini https://www.capgemini.com/insights/research-library/sustainable-gen- ai/ (2024).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Capgemini https://www.capgemini.com/insights/research-library/sustainable-gen- ai/ (2024)
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.390618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86f7c733-0f30-4735-a641-eadd6c632b1b · outbound
This paper cites Pricing and Competition for Generative AI.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Pricing and Competition for Generative AI
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T15:20:32.833972Z
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 ddb74b3b-fcbc-4786-ba94-613beea9ceba · outbound
This paper cites & Lefèvre, L.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts & Lefèvre, L
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.608864Z
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 319d916b-c370-4922-a142-3e31c0d9f964 · outbound
This paper cites Electricity 2024 – Analysis.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Electricity 2024 – Analysis
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.600658Z
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 d874c007-a8a4-4cae-8e0e-95fc903e0c5e · outbound
This paper cites https://www.deloitte.com/global/en/issues/climate/powering-ai.html.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.deloitte.com/global/en/issues/climate/powering-ai.html
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.592162Z
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 0cb76edc-3a12-47b5-957d-211268f41611 · outbound
This paper cites & Paccou, R.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.583705Z
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 ccb2b856-5c82-44b7-becf-5ff0cf244f17 · outbound
This paper cites https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai- power-expanding-data-center-capacity-to-meet-growing-demand.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai- power-expanding-data-center-capacity-to-meet-growing-demand
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.575162Z
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 f4d61a1f-862b-4312-bafb-9246768e61bf · outbound
This paper cites Int’l Legal Materials 55, 743 (2016).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Int’l Legal Materials 55, 743 (2016)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.566293Z
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 971d418e-4038-4961-96ef-a7653cc3ab80 · outbound
This paper cites S., Jernite, Y.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts S., Jernite, Y
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.417416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9486c2a-e607-43c8-ab10-a3b7feaadd5b · outbound
This paper cites & Lannelongue, L.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts & Lannelongue, L
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.557563Z
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 f72ba187-786f-4205-a42b-463968b5aafe · outbound
This paper cites & Sze, V.
Reference 11
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-10T15:20:33.037510Z
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 e20c55da-f64f-4125-bd38-fc6a68a2c228 · outbound
This paper cites & Zong, Z.
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.426762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8e1e622-ce82-44b1-b050-5bd3af5332c4 · outbound
This paper cites GPU-Based Deep Learning Inference: A Performance and Power Analysis.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts GPU-Based Deep Learning Inference: A Performance and Power Analysis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.547729Z
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 391a53aa-e1ce-4463-9fca-de69cf45d5a7 · outbound
This paper cites An Analysis of Deep Neural Network Models for Practical Applications.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts An Analysis of Deep Neural Network Models for Practical Applications
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.432691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0948b593-314a-4086-9d31-40e58dfc672d · outbound
This paper cites Sustainable AI: Environmental Implications, Challenges and Opportunities.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Sustainable AI: Environmental Implications, Challenges and Opportunities
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.435902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efa6ef50-ade7-4b8e-b59f-8d3fd75f2693 · outbound
This paper cites Green Algorithms: Quantifying the carbon footprint of computation.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Green Algorithms: Quantifying the carbon footprint of computation
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T15:20:32.802491Z
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 45771c1b-98c5-4fd8-be4d-701929844485 · outbound
This paper cites Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.442462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f68c38c2-a870-41ef-9429-09d5810f83b7 · outbound
This paper cites The Llama 3 Herd of Models.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts The Llama 3 Herd of Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.445775Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c86b7cae-12bb-4f1c-92ce-3e15f04a6ec3 · outbound
This paper cites Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.449086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6b65179-586d-4c17-be36-d0555a340697 · outbound
This paper cites Energy and Policy Considerations for Deep Learning in NLP.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Energy and Policy Considerations for Deep Learning in NLP
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.452458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b53a69f0-c021-4acf-ba9b-f31a86ceb68a · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Quantifying the Carbon Emissions of Machine Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.455597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25ecc27b-c722-40d3-9bf6-17e83cfff42d · outbound
This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.458780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a819034-7634-49bd-ae8b-47ad246f6824 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.461749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce5743db-b49e-4d18-957d-dcd8deb6ca0a · outbound
This paper cites LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.464198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74359097-ac4d-457a-a111-c3032385123d · outbound
This paper cites https://ecologits.ai/latest/methodology/llm_inference/ (2024).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://ecologits.ai/latest/methodology/llm_inference/ (2024)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.539284Z
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 bad95b0f-bf32-4826-9cf8-0695c21e9660 · outbound
This paper cites Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.469363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 959d2bfd-f6b9-4222-ae65-5c5622b8583b · outbound
This paper cites StarCoder 2 and The Stack v2: The Next Generation.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts StarCoder 2 and The Stack v2: The Next Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.472805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 715da1ad-7c0a-4767-a09a-5e2645d10dfd · outbound
This paper cites Cloud Carbon Footprint.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Cloud Carbon Footprint
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.530604Z
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 25d726ef-71b2-4d0a-942a-720f51f9cee2 · outbound
This paper cites https://huggingface.co/spaces/ml- energy/leaderboard.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://huggingface.co/spaces/ml- energy/leaderboard
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.522077Z
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 cb6eacbc-2e8f-42a0-a3e7-bef2c8ed2b0d · outbound
This paper cites https://huggingface.co/spaces/optimum/llm-perf-leaderboard.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://huggingface.co/spaces/optimum/llm-perf-leaderboard
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.513868Z
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 c1c2b79b-a18a-4016-a8e2-f1a3c180f01e · outbound
This paper cites Artificial Analysis https://artificialanalysis.ai.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Artificial Analysis https://artificialanalysis.ai
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.505773Z
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 de6a95e5-0085-4b47-8369-af9f7501d049 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.498196Z
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 7b322239-e3ac-4b97-877c-cd57667e6ab5 · outbound
This paper cites The AI Index 2024 Annual Report.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts The AI Index 2024 Annual Report
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.490193Z
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 8f341cd9-3df7-4899-9939-9520521a5473 · outbound
This paper cites Centres de données Google https://www.google.com/intl/fr/about/datacenters/efficiency/.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Centres de données Google https://www.google.com/intl/fr/about/datacenters/efficiency/
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.481515Z
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 3d15e861-f013-4758-a147-c99e153fca73 · outbound
This paper cites IEA https://www.iea.org/reports/world-energy-outlook-2024 (2024).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts IEA https://www.iea.org/reports/world-energy-outlook-2024 (2024)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.472407Z
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 de6ee5cc-6737-4ab0-a9bb-a5194a1da6af · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.463278Z
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 fcc91d98-cab9-45e8-aa1f-b18518c5f5de · outbound
This paper cites Neuromorphic hardware for sustainable AI data centers.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Neuromorphic hardware for sustainable AI data centers
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T15:20:32.712660Z
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 92f0ebd6-a392-48f7-8ccd-9a4ae7d5a140 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.454188Z
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 f02f2895-7ae6-40b7-8f41-a041ef7f0d80 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.445620Z
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 a6af321e-d8bc-4063-8504-de830b03033d · outbound
This paper cites Score environnemental du véhicule https://score- environnemental-bonus.ademe.fr.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Score environnemental du véhicule https://score- environnemental-bonus.ademe.fr
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.437417Z
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 24d8e84b-706f-4b81-aa06-2b430fb9a95e · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.428221Z
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 4cb71fae-f410-49ca-8bf7-1a7f87843592 · outbound
This paper cites MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.519003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32e2e3bf-8854-4331-953a-99a88b40d18f · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.419099Z
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 2c89eb55-b51d-4aef-bdd9-244411af8841 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.409314Z
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 6adf7b04-6629-435c-ba4b-fbddd7f82e8e · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.400475Z
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 12f82e18-f76d-4ce5-87b0-c1e9b060f3f9 · outbound
This paper cites Harnessing the Value of Generative AI.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Harnessing the Value of Generative AI
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.380953Z
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 4705bbda-7e87-4224-bafd-e4ad7c8b4739 · outbound
This paper cites in Climate Change 2022 - Mitigation of Climate Change (ed.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts in Climate Change 2022 - Mitigation of Climate Change (ed
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.536784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d4b0d1b-2859-4e8f-bf9a-be82947e7148 · outbound
This paper cites 2030 climate ambition.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts 2030 climate ambition
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.371671Z
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 893a50fb-77c9-43b4-8f21-a673de372dd0 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.363742Z
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 6dfffe7f-62e8-44d9-9c1f-9dbbaf9614b6 · outbound
This paper cites Attributional and consequential life cycle assessment.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Attributional and consequential life cycle assessment
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.355459Z
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 ded3ac56-0976-48ea-b9fe-7111623555dc · outbound
This paper cites & Combaz, J.
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.347377Z
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 656240ce-991b-4ae9-8cf0-d553dfa6beae · outbound
This paper cites https://eplca.jrc.ec.europa.eu/EnvironmentalFootprint.html.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://eplca.jrc.ec.europa.eu/EnvironmentalFootprint.html
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.338313Z
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 f0e1ec17-6bc8-4bb7-a6a8-a0c902df5db3 · outbound
This paper cites TechPowerUp https://www.techpowerup.com/gpu-specs/a100-pcie- 80-gb.c3821 (2025).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts TechPowerUp https://www.techpowerup.com/gpu-specs/a100-pcie- 80-gb.c3821 (2025)
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.329427Z
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 01ba13d3-72cc-429f-b8ad-8d8afc2affbe · outbound
This paper cites https://costcalc.cloudoptimo.com/aws-pricing- calculator/ec2/p4de.24xlarge.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://costcalc.cloudoptimo.com/aws-pricing- calculator/ec2/p4de.24xlarge
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.391211Z
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 bae4daf1-2e93-422d-9eaa-2ebd87dd3f29 · outbound
This paper cites https://www.chaynikam.info/en/Xeon_Platinum_8275CL.html.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.chaynikam.info/en/Xeon_Platinum_8275CL.html
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.320069Z
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 3f6ae5b2-ac16-42ac-a96d-a3b8bb22410d · outbound
This paper cites https://www.supermicro.com/en/products/motherboard/X12SPA-TF.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.supermicro.com/en/products/motherboard/X12SPA-TF
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.310424Z
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 5d4220b2-be4c-4dc1-903b-d586fa247cb2 · outbound
This paper cites an unresolved cited work.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T15:20:33.299636Z
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 9018f6ed-0b27-48ce-b331-ea2d0b97ef24 · outbound
This paper cites Die Per Wafer (free) Calculator - Trusted by Amkor and GF.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Die Per Wafer (free) Calculator - Trusted by Amkor and GF
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.288933Z
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 07c653ae-89a6-4b87-9707-bc4de765e98b · outbound
This paper cites Analyse et optimisation du procédé de découpe de plaques de silicium.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Analyse et optimisation du procédé de découpe de plaques de silicium
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.278550Z
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 f4b4172c-8cbe-4e7e-9046-e95433a7f10e · outbound
This paper cites How Foundries Calculate Die Yield.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts How Foundries Calculate Die Yield
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.269506Z
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 71f72ebd-71d6-4d07-b174-25733fd6a65d · outbound
This paper cites https://blog.langchain.dev/langchain-state-of-ai-2024/ (2024).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://blog.langchain.dev/langchain-state-of-ai-2024/ (2024)
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.260908Z
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 4597c3b6-1caa-49da-9529-334ba6deda0e · outbound
This paper cites https://www.cbre.com/insights/reports/global-data-center-trends- 2024.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.cbre.com/insights/reports/global-data-center-trends- 2024
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.251891Z
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 59179bee-14b7-4324-b8fa-1fb5e712add3 · outbound
This paper cites https://support.ecoinvent.org/energy.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://support.ecoinvent.org/energy
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.242682Z
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 bc097e15-db1c-49f1-bef7-f8fc4dff639a · outbound
This paper cites Uptime Institute https://uptimeinstitute.com/resources/research-and-reports/uptime-institute-global-data-center-survey- results-2024.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Uptime Institute https://uptimeinstitute.com/resources/research-and-reports/uptime-institute-global-data-center-survey- results-2024
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.232244Z
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 9a6abe68-c807-440f-a037-d64bc75088d5 · outbound
This paper cites Amazon goes nuclear, to invest more than $500 million to develop small modular reactors.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Amazon goes nuclear, to invest more than $500 million to develop small modular reactors
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.223570Z
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 92095124-17f0-46a0-985f-62acb0471a9a · outbound
This paper cites & Neelis, M.
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.215637Z
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 a8472da6-7b96-41bd-9165-ee0ea25d4e04 · outbound
This paper cites How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.596779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b8691f6-009c-4fc8-956e-a0d970f753e1 · outbound
This paper cites Can AI Scaling Continue Through 2030? Epoch AI https://epoch.ai/blog/can-ai-scaling- continue-through-2030 (2024).
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Can AI Scaling Continue Through 2030? Epoch AI https://epoch.ai/blog/can-ai-scaling- continue-through-2030 (2024)
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.206468Z
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 56457b2f-84b0-431a-9696-9d0fdfc5f58b · outbound
This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Will we run out of data? Limits of LLM scaling based on human-generated data
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.602995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b71833a-c7f2-4d48-81c8-60f68eb1a76d · outbound
This paper cites These AI Models Are Pretty Mid.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts These AI Models Are Pretty Mid
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.196457Z
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 76ac527b-42e3-40ee-ba2c-a4297d342b3f · outbound
This paper cites Small is the new big: The rise of small language models.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Small is the new big: The rise of small language models
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.186652Z
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 fef7c933-770d-4706-a2f6-a0f8db626d7b · outbound
This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.612475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ab3db2e-ee44-4575-ab76-3a04fa1e9ce8 · outbound
This paper cites Statista https://www.statista.com/forecasts/1474143/global-ai-market- size.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Statista https://www.statista.com/forecasts/1474143/global-ai-market- size
Reference 74
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T15:20:32.963860Z
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 a32ae3a9-11bb-4ba1-a4c4-07ac470db393 · outbound
This paper cites https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.177046Z
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 d18a7474-e896-405e-b595-57220739e667 · outbound
This paper cites MarketsandMarkets https://www.marketsandmarkets.com/Market-Reports/ai-agents-market-15761548.html.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts MarketsandMarkets https://www.marketsandmarkets.com/Market-Reports/ai-agents-market-15761548.html
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.167774Z
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 e9a9a38b-a504-48d5-98a7-8e2ab57ce9b8 · outbound
This paper cites https://www.mckinsey.com/capabilities/quantumblack/our- insights/the-state-of-ai.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.mckinsey.com/capabilities/quantumblack/our- insights/the-state-of-ai
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.158205Z
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 55254b68-84a4-472a-855a-7d485c65a245 · outbound
This paper cites https://www.grandviewresearch.com/press-release/global-generative-ai-market.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts https://www.grandviewresearch.com/press-release/global-generative-ai-market
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.148851Z
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 a7248d78-3757-412c-9590-f02f6094bf57 · outbound
This paper cites Statista https://www.statista.com/forecasts/1449838/generative-ai-market-size-worldwide.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Statista https://www.statista.com/forecasts/1449838/generative-ai-market-size-worldwide
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:20:32.631290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ad18381-54f5-44d0-ba81-f5c7ee5dff84 · outbound
This paper cites Motherboard; mix of equipment, without processor or RAM.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Motherboard; mix of equipment, without processor or RAM
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.139941Z
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 2437e633-54cd-42bb-a284-226b2e3523e7 · outbound
This paper cites 75% of organizations say that large-scale deployment of generative AI PoCs is a significant challenge.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts 75% of organizations say that large-scale deployment of generative AI PoCs is a significant challenge
Reference 2030
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.120726Z
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 d8867169-236b-4869-a7a3-077cc38f9fd8 · outbound
This paper cites Kairos expects to deploy the first SMR by 2030, followed by further deployments through 2035.
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts Kairos expects to deploy the first SMR by 2030, followed by further deployments through 2035
Reference 2050
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T15:20:33.130600Z
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.
Pith citing papers
Observation 933b9797-e70d-4192-bd29-1847162d822b · inbound
Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing cites this paper.
Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:03:09.046047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a3e4c54-961b-44c8-8b77-eaf9d6fe42fd · inbound
Irresponsible AI: big tech's influence on AI research and associated impacts cites this paper.
Irresponsible AI: big tech's influence on AI research and associated impacts Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:43:34.847095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31fe6ac9-1391-4313-be9a-44e35b25fae7 · inbound
All LCA models are wrong. Are some of them useful? Towards open computational LCA in ICT cites this paper.
All LCA models are wrong. Are some of them useful? Towards open computational LCA in ICT Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:55:43.507835Z
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.