Paper Citation Record · LEDGER

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.06723.

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

pith.paper-citation-record.v1
2608.06723 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:55:48.493810Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy18
unresolved15
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d25f992d-3c65-413f-b9c1-95b04e444e06 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.276350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bedc714b-9ed4-4219-8c6e-0dbda069735e · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.283790Z

Source-reported events for the cited work

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Observation d581aae6-f8ed-4056-8065-6397958fc59e · outbound

This paper cites Smith, and Oren Etzioni.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Smith, and Oren Etzioni

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.150205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49e275f2-effb-42ec-a47a-64c69e97e445 · outbound

This paper cites Power hungry processing: Watts driving the cost of AI deployment? InProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 85–99, 2024.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Power hungry processing: Watts driving the cost of AI deployment? InProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 85–99, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.122233Z

Source-reported events for the cited work

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Observation 1182a046-79b7-4855-8bb6-d99d7b6d7ffa · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Carbon Emissions and Large Neural Network Training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.307652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7631d3-f6e2-46b1-902e-93e0e9d0716c · outbound

This paper cites an unresolved cited work.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.315728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ba2726-6f04-4f4f-9638-b08edcbe4528 · outbound

This paper cites Integration of oscillator-based feature extraction for energy- efficient convolutional neural networks.Journal of Applied Physics, 139(23), 2026.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Integration of oscillator-based feature extraction for energy- efficient convolutional neural networks.Journal of Applied Physics, 139(23), 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.073652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad959678-1965-4a4d-b039-df042717a60b · outbound

This paper cites Data driven control of defect formation in solution de- posited sb2se3 thin films.Advanced Materials Interfaces, 12(24):e00798, 2025.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Data driven control of defect formation in solution de- posited sb2se3 thin films.Advanced Materials Interfaces, 12(24):e00798, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.054519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0271c185-c395-4d19-9cf4-dd99f410a93d · outbound

This paper cites GPTQ: Ac- curate post-training quantization for generative pre-trained transformers.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors GPTQ: Ac- curate post-training quantization for generative pre-trained transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.035818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5770bac-4ffd-44f2-b4d8-20cf6fbe4342 · outbound

This paper cites LLM.int8(): 8-bit matrix multiplication for transformers at scale.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors LLM.int8(): 8-bit matrix multiplication for transformers at scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.339845Z

Source-reported events for the cited work

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Observation 539686e9-0dec-484f-a644-6506b4bebff5 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:49.003153Z

Source-reported events for the cited work

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Observation 7235a63f-ce18-4dcb-a52d-bc3263e48180 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning, 2023.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Flashattention-2: Faster attention with better parallelism and work partitioning, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.352798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff61b44-86db-4b0a-9dda-aa6e5788c45d · outbound

This paper cites SparseGPT: Massive language models can be accurately pruned in one-shot.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors SparseGPT: Massive language models can be accurately pruned in one-shot

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.359844Z

Source-reported events for the cited work

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Observation a0ff47b5-a20e-4b5a-b114-c4ae9cefd71a · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Gonzalez, Hao Zhang, and Ion Stoica

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.960925Z

Source-reported events for the cited work

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Observation e087a867-8253-4e48-a848-4a50a59d95de · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Evaluating Large Language Models Trained on Code

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.371368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ad2f9c-e9c1-43a3-8e00-9d5ccb9db0e6 · outbound

This paper cites Unified LLM model for power, performance, and area prediction from hardware code.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Unified LLM model for power, performance, and area prediction from hardware code

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.941937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4489553-44fb-415c-8949-25819517fd91 · outbound

This paper cites Hdlforge: A two-stage multi-agent framework for efficient verilog code generation with adaptive model escalation, 2026.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Hdlforge: A two-stage multi-agent framework for efficient verilog code generation with adaptive model escalation, 2026

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.922765Z

Source-reported events for the cited work

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Observation f61b530f-6bb9-4b97-97ce-fd433a0df49d · outbound

This paper cites Semi-supervised gan with hybrid regulariza- tion and evolutionary hyperparameter tuning for accurate melanoma detection.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Semi-supervised gan with hybrid regulariza- tion and evolutionary hyperparameter tuning for accurate melanoma detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.901008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66836d24-3adf-4bd3-80ee-525f32db6151 · outbound

This paper cites COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:55:48.626709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d9ace1f-2c38-49e5-84cd-54596a1314d0 · outbound

This paper cites Preserving Privacy and Utility in LLM-Based Product Recommendations.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Preserving Privacy and Utility in LLM-Based Product Recommendations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.410902Z

Source-reported events for the cited work

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Observation 37f2cc4e-dea6-401e-8c36-8e8194038412 · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620:172–180, 2023.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Large language models encode clinical knowledge.Nature, 620:172–180, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.881243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fa91b8b-09d4-4cc5-b194-e1a99f7f442b · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors BloombergGPT: A Large Language Model for Finance

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.424579Z

Source-reported events for the cited work

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Observation 3f06cbb6-3fff-43ea-8b2c-fa495e7745a5 · outbound

This paper cites Ho, et al.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Ho, et al

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.859838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 277eaeee-82c1-43d5-9cc3-b25962a6f15b · outbound

This paper cites ChatGPT for good? on opportunities and challenges of large language models for education.Learning and Individual Differences, 103:102274, 2023.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors ChatGPT for good? on opportunities and challenges of large language models for education.Learning and Individual Differences, 103:102274, 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.838600Z

Source-reported events for the cited work

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Observation 44e1ef65-39b5-48cb-b131-428e2b0e6da3 · outbound

This paper cites Amali: An analytical model for accurately modeling llm inference on modern gpus.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Amali: An analytical model for accurately modeling llm inference on modern gpus

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.819507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8565f46f-5830-46cf-82d8-4e1cebcd6469 · outbound

This paper cites Forecasting llm inference performance via hardware-agnostic analytical modeling, 2025.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Forecasting llm inference performance via hardware-agnostic analytical modeling, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.800498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27be3ffc-20aa-4e44-a17b-6a11649a923b · outbound

This paper cites Espos- ito, Francesco Antici, Daniele Cesarini, Zeynep Kiziltan, and Andrea Bartolini.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Espos- ito, Francesco Antici, Daniele Cesarini, Zeynep Kiziltan, and Andrea Bartolini

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.779514Z

Source-reported events for the cited work

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Observation db55f68a-7683-4311-8828-9eca87e9b6ad · outbound

This paper cites Calatrava-Nicolas, Vishal Banwari, Paul Lukowicz, and Jakob Karolus.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Calatrava-Nicolas, Vishal Banwari, Paul Lukowicz, and Jakob Karolus

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.757684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16e34616-3b26-4edd-9898-7c3859bc3efa · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Gonzalez, Hao Zhang, and Ion Stoica

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.464091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650a7d9c-d339-495f-8d31-b00621072fa9 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:48.726504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e73cb766-957f-44cc-96af-b48e7728d4b0 · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision, 2024.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Flashattention-3: Fast and accurate attention with asynchrony and low-precision, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.475775Z

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Unavailable: canonical work link unavailable.

Observation 935ca345-8cd5-4676-b1c7-9afaff076b2e · outbound

This paper cites The Llama 3 Herd of Models.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors The Llama 3 Herd of Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.482798Z

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Unavailable: canonical work link unavailable.

Observation c017cb6b-07b3-43a2-aeee-428ded8fd10d · outbound

This paper cites an unresolved cited work.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:55:48.690843Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0bc9ebd-b97a-45da-a5f0-74bed6e1952f · outbound

This paper cites Qwen Technical Report.

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors Qwen Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:48.493810Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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