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Paper Citation Record · LEDGER

Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.11256.

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

pith.paper-citation-record.v1
2502.11256 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:51.514126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:47:28.124458Z

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 3e5cb374-7a99-4411-9060-57e72f82072f · inbound

Energy Considerations of Large Language Model Inference and Efficiency Optimizations cites this paper.

Energy Considerations of Large Language Model Inference and Efficiency Optimizations Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T10:37:51.514126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:37:51.514126Z digest=sha256:1388125f2b720213ec8b1a2305aacc984774cebe6e798ec1a3ad64055ae1cd95

Observation 1ad3e2ad-d093-41b9-9e10-6ace3a788b42 · inbound

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting cites this paper.

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:10:06.229366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:10:06.229366Z digest=sha256:4c347f8ad9226aadbb008fc8d53f931d497cbb752a12a4c9182a9f49dd51d8eb

Observation 03268206-f2c2-4b79-ae1f-0f9f4156b320 · inbound

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations cites this paper.

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T16:33:02.894258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:33:02.894258Z digest=sha256:0c9b093d96d8e37f0764c7900e86e5c741c6a04630234bd5da67661d9b924945

Observation bad3ab3a-c5f1-4656-b867-d6d19f441684 · inbound

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters cites this paper.

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:47:28.126959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T06:44:47.160905Z digest=sha256:e606113982dcc3272a0f3dde9d2e6e6a0b06fb37033fb523afbca0f72ac6b7e2