Paper Citation Record · LEDGER

Energy Usage Reports: Environmental awareness as part of algorithmic accountability

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1911.08354.

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

pith.paper-citation-record.v1
1911.08354 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:52:45.238435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:18.983222Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 f35f5647-dc7e-4fd1-80ef-152a575f23bf · inbound

The Generative AI Ethics Playbook cites this paper.

The Generative AI Ethics Playbook Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:10.731002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b94a0f-ba3f-40f7-86af-24a9f80dc92a · inbound

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks cites this paper.

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:51.835109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6bd37a4-24e1-4c2a-ba93-0afa1d1df1ed · inbound

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version cites this paper.

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:57:17.233349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c312d17-0ea9-4cad-8fbe-f03249c6601c · inbound

An NLO-Matched Initial and Final State Parton Shower on a GPU cites this paper.

An NLO-Matched Initial and Final State Parton Shower on a GPU Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:49:08.401850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3941285c-d903-4b87-a68a-b14648e67a09 · inbound

An NLO-Matched Initial and Final State Parton Shower on a GPU cites this paper.

An NLO-Matched Initial and Final State Parton Shower on a GPU Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:10:27.686298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a2ae081-abb3-4d2f-9a08-4e49dcb9a31c · inbound

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics cites this paper.

CARINA: Carbon-Aware Execution of Recurrent Industrial Analytics Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:38.783403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78989c4d-fd4f-4212-890b-6264c5737e46 · inbound

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 269

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:37:18.984720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a724639-001f-40af-aa49-309fc63d9bde · inbound

The Environmental Cost of LLMs in AIED: Reporting and Practices cites this paper.

The Environmental Cost of LLMs in AIED: Reporting and Practices Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T00:55:11.677520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95e6ab5e-8cb3-49f5-b6d7-7a543d3175ca · inbound

MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems cites this paper.

MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 108

Resolution: unresolved; no resolver link, observed 2026-07-12T11:05:56.233115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd68bea7-9d69-492a-949e-552de1716876 · 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 Energy Usage Reports: Environmental awareness as part of algorithmic accountability

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T00:52:45.238435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.