Paper Citation Record · LEDGER

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14393.

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

pith.paper-citation-record.v1
2309.14393 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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:21:16.608148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.397672Z

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 56481f6f-420f-4eaf-92e6-e5b9f9095cea · inbound

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference cites this paper.

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:07:17.290521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73339394-2495-4107-8c13-703eba13a886 · inbound

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization cites this paper.

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:48:33.269930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16c3cf6f-1063-43c1-9ef1-420e9bcfee41 · inbound

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:09:07.316240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 068ef811-52b6-40fc-b4a9-fa0082f8014f · inbound

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:46.399550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.