Paper Citation Record · LEDGER

Sustainable AI: Environmental Implications, Challenges and Opportunities

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2111.00364.

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

pith.paper-citation-record.v1
2111.00364 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:38.219677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae962aac-5d05-4e77-8487-19e0094bbdf7 · inbound

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:31:08.339275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0948b593-314a-4086-9d31-40e58dfc672d · 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 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 70d40d81-26d4-412a-94fd-deae25f4796c · inbound

Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends cites this paper.

Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T18:50:52.640649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ff712d-4d16-4351-8262-472ababa84d4 · inbound

DROP: Poison Dilution via Knowledge Distillation for Federated Learning cites this paper.

DROP: Poison Dilution via Knowledge Distillation for Federated Learning Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T14:06:54.603277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7dd9f4d-37cd-49cc-8099-e64646a0abe4 · inbound

Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders cites this paper.

Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:45:18.340428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f453eb1-9648-4a5f-9afc-74537db1ab58 · inbound

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs cites this paper.

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:32:15.132452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42cb5f8-bddd-468f-86d9-f419d9b57112 · inbound

Misinformation by Omission: The Need for More Environmental Transparency in AI cites this paper.

Misinformation by Omission: The Need for More Environmental Transparency in AI Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:14.839399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8afbd35c-02a8-4dd6-9e1e-758a0e8ff553 · inbound

Choosing the Right Battery Model for Data Center Simulations cites this paper.

Choosing the Right Battery Model for Data Center Simulations Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:38.219677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4a87810-a660-4b40-b270-c5aef5eb1b91 · inbound

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements cites this paper.

Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T15:47:22.518724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b273f5-8768-4a37-b0f8-5d9f82937e80 · inbound

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cites this paper.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.794734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba9f916-85fe-4b29-954d-604a3d1decc2 · inbound

The Energy Cost of Execution-Idle in GPU Clusters cites this paper.

The Energy Cost of Execution-Idle in GPU Clusters Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:30:51.535998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afbd22f0-89ec-4217-bd6a-a3e670da904b · inbound

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production cites this paper.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.377263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3895b1fa-2c41-450b-94aa-88a1ebaeed4e · inbound

Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows cites this paper.

Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:23:32.348281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ec7c92d-9a40-4b51-9c08-5e7c75a26b94 · inbound

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks cites this paper.

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T04:53:06.184727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 177fdef8-520f-4d87-832d-dbe620d4ab90 · inbound

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint cites this paper.

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T00:52:45.036269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.