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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:33:02.894258Z

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 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=sha256:3c6aa690a1e40ec3b69d57c2540942d1f170578cae3d42f8920b707cb356ab89

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T06:44:47.160905Z digest=sha256:ba5c0c3abb43b82b95eb0f78c6c2bdc2097eb1dc85f51a879b828e952a2b0057