Paper Citation Record · LEDGER

Sustainable AI: Environmental Implications, Challenges and Opportunities

As of 24 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T15:22:00.277409Z

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 2026-07-24T06:31:00.690269+00:00.

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 2026-07-24T06:31:00.690269+00:00.

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 2026-07-24T06:31:00.690269+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 2026-07-24T06:31:00.690269+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 2026-07-24T06:31:00.690269+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 2026-07-24T06:31:00.690269+00:00.