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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.26571.

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

pith.paper-citation-record.v1
2607.26571 v1

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measured 44 of 44 reference resolution

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44 of 44 outbound references displayed

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Outbound references

Observation 1907ed8a-b135-4683-8189-671584ad812f · outbound

This paper cites Strubell, A.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Strubell, A

Reference 1

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Observation 197ccdfc-a6ac-4508-9ddc-17a7131e98a0 · outbound

This paper cites Schwartz, J.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Schwartz, J

Reference 2

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Observation e2df4670-7574-4c22-ba9e-c7fa4f3017d7 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Carbon Emissions and Large Neural Network Training

Reference 3

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Observation aba33990-4011-437d-a734-d5a4a069ec81 · outbound

This paper cites Henderson, J.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Henderson, J

Reference 4

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Observation 9875c7d6-8bd2-4588-88a0-c627ef02a8d9 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Quantifying the Carbon Emissions of Machine Learning

Reference 5

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Observation f4400b4d-d141-49e6-b735-ad0d2d063303 · outbound

This paper cites Lannelongue, J.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Lannelongue, J

Reference 6

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This paper cites One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection

Reference 7

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Observation 85b24631-cdc6-483d-a483-d074ba1945f3 · outbound

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Unresolved cited work

Reference 8

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Observation 9c1c2b3e-e535-4397-9ef7-f56678564854 · outbound

This paper cites Fernandez, C.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Fernandez, C

Reference 9

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This paper cites LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences.

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

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This paper cites Vartziotis, M.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Vartziotis, M

Reference 11

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Observation add9dd61-b892-4869-90fb-00d6de51be54 · outbound

This paper cites Reports average data-center PUE of approximately 1.56.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Reports average data-center PUE of approximately 1.56

Reference 12

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Observation a513ad35-6fa5-449e-ae28-4253884eed9a · outbound

This paper cites MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI

Reference 13

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This paper cites nvidia.com/en-us-hopper-architecture/ nvidia-tensor-core-gpu-datasheet, 2023.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs nvidia.com/en-us-hopper-architecture/ nvidia-tensor-core-gpu-datasheet, 2023

Reference 14

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This paper cites Vartziotis, I.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Vartziotis, I

Reference 15

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Observation b7ad372a-b761-4989-a65a-896a26760bbc · outbound

This paper cites Samsi, D.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Samsi, D

Reference 16

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Observation e20f51e9-3065-4ee1-8bcb-09797508b694 · outbound

This paper cites Luccioni, Y.

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Luccioni, Y

Reference 17

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Reference 18

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Observation d3c185d0-ccf7-48ff-9afe-f0ee325521b6 · outbound

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Scaling Laws for Neural Language Models

Reference 19

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Hoffmann, S

Reference 20

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Antepara, Z

Reference 21

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Caravaca, Á

Reference 23

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Reference 24

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Reference 36

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs Qwen2.5-Coder Technical Report

Reference 38

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs URL: https:// unsloth.ai/blog/llama3-3

Reference 39

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs URL: https://huggingface.co/Qwen/Qwen3-1.7B

Reference 40

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs URL: https://huggingface.co/openai/gpt-oss-20b

Reference 41

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs URL: https://huggingface.co/openai/gpt-oss-120b

Reference 43

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Reference 2024

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From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs doi:10.1145/3712285.3759815

Reference 2025

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