Paper Citation Record · LEDGER

LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.02950.

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

pith.paper-citation-record.v1
2410.02950 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:44:35.444971Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 934038ce-097d-4c6b-a4dd-685fe481eb6b · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.444971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5743db-b49e-4d18-957d-dcd8deb6ca0a · inbound

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts cites this paper.

Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T15:20:32.464198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a48f69-271b-4517-959b-048509a21173 · inbound

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference cites this paper.

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T13:58:32.050271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cd1d12e-9707-4b7f-bd59-8b17161fdf89 · inbound

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations cites this paper.

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:14:19.316765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f572a2-3c0d-476c-ae27-8947bb62b268 · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:02:52.245972Z

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 45d49640-6fe3-449a-aa5b-08cbea915fe7 · inbound

Guidelines for Empirical Studies in Software Engineering involving Large Language Models cites this paper.

Guidelines for Empirical Studies in Software Engineering involving Large Language Models LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:31.566261Z

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 cd893533-dcdf-4a32-8ac7-93c4939e9ffb · inbound

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs cites this paper.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T13:11:39.805738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.