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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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=sha256:7dc5694e02525b12c47ff701054a4ea2ac85c3520568ac4b21923b19f9e5a608

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:edd534bfe1cda2a94e0bd90f891bc4785abd77431fc3ed933b7f8cf9666989f5

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=sha256:3779c3ae6714e3c5d3546229788bb77277b5f23d9c0521ca701c3cb36a5a15bb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T06:44:47.160905Z digest=sha256:3e49a533fbaec5f7d01f091045dcaaffe410823698337f911b35e6b5f97a22f6