Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:35:44.915577Z
Paper Citation Record · LEDGER
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 3 inbound Pith citation observations for arXiv:2412.17376.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:32.596779Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:06:14.596192Z
Reference resolution
45 of 45 outbound references displayed
- verified exact1
- verified fuzzy12
- unresolved32
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 992cbecd-df49-4e92-9ebd-d819ab8e9007 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts , " * write output.state after.block = add.period write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:35:44.692329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fe3326f-b776-4cee-9ebd-f4059ab6279f · outbound
This paper cites write newline.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts write newline
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:35:44.698414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94082eeb-38e3-4d1e-bbc6-0c147a2d0d2e · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.689454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d6b78dc8-ff1f-40c0-abcf-8628f65511dd · outbound
This paper cites Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:35:44.712498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10c72c8d-d72c-4360-b84e-8207ddd0cd5c · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.672779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c06bd49-f3d2-4f52-b95b-bf08d95056ad · outbound
This paper cites M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.656958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd575dbf-de94-4905-a913-b9f940ccd815 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.641403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea3bb097-2006-44af-8f51-7e13db6fc8cd · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.626225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b7b88387-9188-47a0-8efb-d2066430dce7 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.610946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac9ee5fa-4dc5-4ecb-93ad-ea4acadd819b · outbound
This paper cites P.-V.; Jacquemotte, Q.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts P.-V.; Jacquemotte, Q
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.593878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c09cee2e-d4f2-4b39-be9a-3d7ec4cb94e2 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.578595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 36e3a684-eef4-467a-99b7-9c231e3ee21c · outbound
This paper cites C.; and Mattern, F.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts C.; and Mattern, F
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.563547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e126d6b-e529-4b0a-abf9-ac86df8b17f7 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.548290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e90a961b-d8db-49d2-a958-aed340631031 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.531439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81c8a58f-93bc-4149-b97b-40bd1287e0a6 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.514421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54c267e5-7150-42a6-b32b-8379a6f203fb · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.498914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b8cd1acf-acb0-44da-942e-ec2fb90e7c7f · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.482706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b21df556-bfd7-44de-b907-72ff5f0a5941 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.465522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eed6d2bb-79cd-4610-b6e6-cb20d92f93fe · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.443747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02aa0784-9095-46a9-b04e-df10eebbba50 · outbound
This paper cites G.; Lee, S.; Tse, J.; Lee, H.-H.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts G.; Lee, S.; Tse, J.; Lee, H.-H
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.427944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 358528f4-0b12-43ac-a3c7-07c6f47a3b78 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.412496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c18c5f17-07e5-4a67-84f8-d057aed88d0b · outbound
This paper cites H.; Brown, L.; Cheng, J.; Khan, M.; Gupta, A.; Workman, D.; Hanna, A.; Flowers, J.; and Gebru, T.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts H.; Brown, L.; Cheng, J.; Khan, M.; Gupta, A.; Workman, D.; Hanna, A.; Flowers, J.; and Gebru, T
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.397770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 025de54b-7570-424d-aaba-1bae8fffbcd5 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.380104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7f31559-c3bb-4747-9b95-9dfabdd970f8 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.361432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6be5cb17-43a4-4c08-be85-ed06612210c3 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.346259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 294a6d57-1c1c-4995-92bd-c303ec6e8e1f · outbound
This paper cites S.; Viguier, S.; and Ligozat, A.-L.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts S.; Viguier, S.; and Ligozat, A.-L
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.331176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 59767bce-970f-4752-b34b-e1cebb509af4 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.314257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f528fc9-46e0-4bcd-88c2-adf399ed1c83 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.298164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97d660b3-52a4-4b6b-a41c-b6e4c11dcab7 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.281497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 93b05d47-4db7-4d5a-9ca7-ec6881555e80 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.265368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a34cc067-5468-4e44-bce8-2eee8fe8f449 · outbound
This paper cites A.; Engelmann, C.; Shankar, M.; and Rogers, J.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts A.; Engelmann, C.; Shankar, M.; and Rogers, J
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.244734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b281dbef-ae68-4c16-af3b-7aa0099c71c2 · outbound
This paper cites R.; Texier, M.; and Dean, J.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts R.; Texier, M.; and Dean, J
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.228146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c7d2922d-7754-4d3f-be30-7115f6be0671 · outbound
This paper cites P.; Pip, A.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts P.; Pip, A
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.211676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b787ec00-c0f9-4b2d-bbb1-f27a5d47e65e · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.189268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a1fea78-8813-46d2-99a3-406991d7ed10 · outbound
This paper cites A.; and Etzioni, O.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts A.; and Etzioni, O
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.167504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc0ef664-dfe8-4dda-9335-6ea1353a3141 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.144593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10667dc6-b6f7-455a-85e3-0c42f5323e1c · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.122755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eedaee1d-6bc6-4364-9e35-7ace10751146 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.105145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d194a181-c17f-410b-9f9f-f6a6a295eb40 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.087128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fed53e3d-4db7-4233-b22c-6dfa079575d0 · outbound
This paper cites B.; and Heijungs, R.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts B.; and Heijungs, R
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.069870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2fd00b8-8877-4196-b05a-cc39465d2c93 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.054114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4fa9a2b-f96e-46e5-aabb-2598fd424ad6 · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.037607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a5b2b2de-1e95-4569-bbf7-784b94bc016e · outbound
This paper cites an unresolved cited work.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T05:35:45.020463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60a94380-2794-4057-9003-811c0645f505 · outbound
This paper cites A.; Huang, J.; Bai, C.; Gschwind, M.; Gupta, A.; Ott, M.; Melnikov, A.; Candido, S.; Brooks, D.; Chauhan, G.; Lee, B.; Lee, H.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts A.; Huang, J.; Bai, C.; Gschwind, M.; Gupta, A.; Ott, M.; Melnikov, A.; Candido, S.; Brooks, D.; Chauhan, G.; Lee, B.; Lee, H
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:35:45.000364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4bd27d0e-5da1-41ad-90a0-51583c17f3fd · outbound
This paper cites Beyond Efficiency: Scaling AI Sustainably.
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts Beyond Efficiency: Scaling AI Sustainably
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:35:44.964160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation a8472da6-7b96-41bd-9165-ee0ea25d4e04 · inbound
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts cites this paper.
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 e4209998-c38d-456b-a350-925a9ad30b00 · inbound
A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies cites this paper.
A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:16:08.237184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f444a77-41cf-449f-957d-0ebd65affa8b · inbound
Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment cites this paper.
Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T21:06:14.597652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.