Position: LLM Inference Should Be Evaluated as Energy-to-Token Production | Paper Citation Record

Observation 7a73db7a-d303-4502-91dd-d36a7156eae8 · outbound

This paper cites Energy and ai.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Energy and ai

Reference 1

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Observation e7c8a8cd-0057-49ea-8fdf-4633bd4d463c · outbound

This paper cites Analyzing artificial intelligence and data center energy consumption.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Analyzing artificial intelligence and data center energy consumption

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.474450Z

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Observation 59e6994f-93d6-49ac-8b94-c227d1ab5fa5 · outbound

This paper cites Ai factories.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Ai factories

Reference 3

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Observation 65031900-53f4-404e-91be-95d04483228e · outbound

This paper cites Ai inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Ai inference

Reference 4

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Observation c8413658-dab2-4096-abbe-31da21207ead · outbound

This paper cites Api pricing.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Api pricing

Reference 5

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Observation 3eb02857-4a97-4d6f-b3d9-222ed5b70694 · outbound

This paper cites Models overview and api pricing.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Models overview and api pricing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.267668Z

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Observation abc144d8-6bae-48b8-af45-0cba65a6be1a · outbound

This paper cites Models and pricing.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Models and pricing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.264442Z

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Observation 1ed037e6-6394-4445-8bbc-bd86833ecf85 · outbound

This paper cites Smith, and Oren Etzioni.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Smith, and Oren Etzioni

Reference 8

Resolution: verified exact; doi, observed 2026-05-13T05:22:18.958105Z

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Observation 3100e300-11dd-44fc-808b-370644d00ca9 · outbound

This paper cites Patterson, J.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Patterson, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.258422Z

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Observation f3c2c794-1f25-4ec4-be2c-2d9664c4ee4b · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Carbon Emissions and Large Neural Network Training

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.471326Z

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Observation aed7967d-58e9-4689-a0f3-615913343e5e · outbound

This paper cites Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:22:18.956217Z

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Observation afbd22f0-89ec-4217-bd6a-a3e670da904b · outbound

This paper cites Sustainable AI: Environmental Implications, Challenges and Opportunities.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.377263Z

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Observation a9951de1-d5e9-4da9-b36f-b287dd22bab3 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Quantifying the Carbon Emissions of Machine Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:52:44.534862Z

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Observation a4439e91-1fb0-447f-8976-a97262c5ca2e · outbound

This paper cites Energy and Policy Considerations for Deep Learning in NLP.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Energy and Policy Considerations for Deep Learning in NLP

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.423169Z

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Observation a23c13ff-2777-4a44-844e-764538deafcb · outbound

This paper cites Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI

Reference 15

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Observation 737134fc-2ddb-4aca-acdc-32f860e038c4 · outbound

This paper cites Mlperf inference v4.1 power results.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Mlperf inference v4.1 power results

Reference 16

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Observation 6ec9305f-b802-4c9d-97eb-1c6e88df3d98 · outbound

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Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 17

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Observation 5c62286c-2475-48ab-ac45-87dcacd0e872 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 18

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Observation 151263ce-1cc2-450f-9d2f-47bfc6479c14 · outbound

This paper cites 2024 global data center survey results.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production 2024 global data center survey results

Reference 19

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Observation 6a91dd2b-00a9-4b45-ae3a-5b2db1210cb9 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 20

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Observation 4aa516c3-7f5c-4946-a1e1-611e2fae73ad · outbound

This paper cites From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.429463Z

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Observation 43f42230-32e5-4121-bbfc-fa008067d4b9 · outbound

This paper cites Tokenpowerbench: Benchmarking the power consumption of llm inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Tokenpowerbench: Benchmarking the power consumption of llm inference

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.370752Z

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Observation e63ca9ad-0a31-4608-a110-f97301767b85 · outbound

This paper cites year =.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production year =

Reference 23

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Observation 2abd72ed-86f1-4039-884d-cfbbd5ce43fa · outbound

This paper cites Roofline: An insightful visual performance model for multicore architectures.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Roofline: An insightful visual performance model for multicore architectures

Reference 24

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Observation 1d04ef3d-1e8d-4efb-b0f7-d6360198bc46 · outbound

This paper cites Sevilla and E.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Sevilla and E

Reference 25

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Observation 09a7ce7e-3961-42b1-a95a-0deb6611faa9 · outbound

This paper cites Where do the joules go? diagnosing inference energy consumption.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Where do the joules go? diagnosing inference energy consumption

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.405195Z

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Observation 3fc8d1af-dbc3-4c9a-aa0f-1ed3f87e9f68 · outbound

This paper cites Delavande, R.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Delavande, R

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.385538Z

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Observation c2341ae7-b72c-4f56-8704-ec472cc048a8 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.306607Z

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Observation 764826af-88f7-4541-9c57-1109151e9968 · outbound

This paper cites SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference

Reference 29

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Observation b9f2525e-f157-4293-952e-b01d9941666b · outbound

This paper cites Nvidia h100 tensor core gpu: Product specifications.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Nvidia h100 tensor core gpu: Product specifications

Reference 30

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Observation 80194f8c-23f1-4b99-a49d-ff4472ae8a6c · outbound

This paper cites Nvidia hgx platform specifications (hgx h100 4/8-gpu).

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Nvidia hgx platform specifications (hgx h100 4/8-gpu)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.310045Z

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Observation e9814d3a-fe80-422c-9e88-92fbb81094ad · outbound

This paper cites Ai is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Ai is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.311882Z

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Observation e393c692-bbe8-4c5c-8255-b43f386acac6 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.459368Z

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Observation 887a3b89-ba09-42f8-ba38-80b15edebb73 · outbound

This paper cites Scaling Laws for Neural Language Models.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Scaling Laws for Neural Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.374193Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fac672f3-b55f-459f-978d-a4836d507c14 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Training Compute-Optimal Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.379963Z

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Observation 5f58ee32-16b0-476e-982b-abfdc488ba72 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.462039Z

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Observation 8f64c5a3-b694-43df-bffc-e9a8aa97715a · outbound

This paper cites Compute Trends Across Three Eras of Machine Learning.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Compute Trends Across Three Eras of Machine Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.440978Z

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Observation 0b81757e-f4b6-4e93-aaac-d9715733017e · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.443530Z

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Observation 2f701fc2-3453-4ce1-866f-64a16063b7a8 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.432534Z

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Observation a3e9881c-8adc-485a-bdd0-b99f88ce3ad2 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.435378Z

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Observation a23779db-e224-46f5-85ce-f55102be1db0 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.438188Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e686972-1574-4ea8-b1f7-8c2c52cb941c · outbound

This paper cites Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.391042Z

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Observation e9a4404b-f545-4a68-931a-16742e93f134 · outbound

This paper cites Knowledge-Centric Hallucination Detection.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Knowledge-Centric Hallucination Detection

Reference 44

Resolution: verified exact; doi, observed 2026-05-13T05:22:18.947071Z

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Observation 2571e0da-c795-4886-88f8-afc45f61a3fd · outbound

This paper cites Department of Energy.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Department of Energy

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.320296Z

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Observation 30530823-64d3-434e-8c6f-bc0a82584b13 · outbound

This paper cites Juniewicz.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Juniewicz

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.301279Z

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Observation 33fcbdba-9968-4a3b-9ca4-83579d06d6b6 · outbound

This paper cites Combined Alphabet, Amazon, Meta, Microsoft, and Oracle capex extracted from SEC EDGAR 10-Q/10-K filings.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Combined Alphabet, Amazon, Meta, Microsoft, and Oracle capex extracted from SEC EDGAR 10-Q/10-K filings

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.304987Z

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Observation 84ffc216-3f1d-4350-880c-c91fa5fab685 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 48

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Source-reported events for the cited work

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Observation 549c7c84-6409-4fcc-94b8-e72a251695aa · outbound

This paper cites Doubao surpasses 120 trillion daily tokens as usage doubles in three months.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Doubao surpasses 120 trillion daily tokens as usage doubles in three months

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.293780Z

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Observation bcc33e17-4d56-4a2e-b0a2-a3b3c07011bd · outbound

This paper cites Wulf and Sally A.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Wulf and Sally A

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:22:18.944786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3c6545e-a9d3-46d8-8c8f-78df0d022980 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:46:30.294205Z

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Observation 71187678-6832-414d-baf3-55c3763a22ad · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Deepseek-v4: Towards highly efficient million-token context intelligence

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.289661Z

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Observation eae5b671-f73b-47f5-a380-eab60f7249a2 · outbound

This paper cites Chunkkv: Semantic-preserving KV cache compression for efficient long-context LLM inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Chunkkv: Semantic-preserving KV cache compression for efficient long-context LLM inference

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.417404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8da5e788-22d0-48ef-a47e-460901d27162 · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:00:50.699870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82cc6781-1167-4e40-b11c-4477ac3a65d7 · outbound

This paper cites FlowKV: Enhancing multi-turn conversational coherence in LLMs via isolated key-value cache management.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production FlowKV: Enhancing multi-turn conversational coherence in LLMs via isolated key-value cache management

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.402283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 144f0371-1b6e-452a-9c2e-22af451bcb4b · outbound

This paper cites Semantic integrity matters: Benchmarking and preserving high-density reasoning in KV cache compression.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Semantic integrity matters: Benchmarking and preserving high-density reasoning in KV cache compression

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.327931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e96c7aaf-e00f-42ae-aac4-f8733be98775 · outbound

This paper cites Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.414579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4a0c4d9-93e4-47e7-bd0b-efabd9260bc0 · outbound

This paper cites SONIC: Segmented optimized nexus for information compression in key-value caching.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production SONIC: Segmented optimized nexus for information compression in key-value caching

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.411568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4b9d3f2-7d38-4e1d-a234-191f236f2afb · outbound

This paper cites AnTKV: Anchor token-aware sub-bit vector quantization for KV cache in large language models.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production AnTKV: Anchor token-aware sub-bit vector quantization for KV cache in large language models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.382778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4966c3c-fa63-459c-920f-018492c9da66 · outbound

This paper cites Ora- cleKV: Oracle guidance for question-independent KV cache eviction.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Ora- cleKV: Oracle guidance for question-independent KV cache eviction

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.286144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7da1e05c-8151-459e-b767-4162b988f6b2 · outbound

This paper cites FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.393998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f588b8c9-2806-4213-be57-769b4169f552 · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:26:38.921226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dda5657e-3b70-4bed-80c1-a5d67aae9bfb · outbound

This paper cites DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:27:19.396706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a22711f-598c-4884-8ed0-da478d025ca1 · outbound

This paper cites Reasoning language model inference serving unveiled: An empirical study.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Reasoning language model inference serving unveiled: An empirical study

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.452420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1569d95-b7d3-46cd-a1f4-4c604567c0b5 · outbound

This paper cites Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:27:19.388471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f675fd1b-1e3a-492e-b43d-f020615ca2fd · outbound

This paper cites The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.449599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ea6e8d6-eb6d-4ad0-aed5-d423ab23e1a9 · outbound

This paper cites National energy administration releases 2024 national electric power industry statistics.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production National energy administration releases 2024 national electric power industry statistics

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.446585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 825fa77b-7f25-41f0-9330-dcdc7a6a920e · outbound

This paper cites Interpretation of the work plan for stabilizing growth in the power equipment industry (2025–2026).

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Interpretation of the work plan for stabilizing growth in the power equipment industry (2025–2026)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.287945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81faf1a9-83b0-47b2-8e8b-48b59fb2958b · outbound

This paper cites Launch of second data centre – call for application.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Launch of second data centre – call for application

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.295654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e899b80-7d62-45b7-8e4c-b2c713540033 · outbound

This paper cites State of ai: token-usage rankings, q1 2026.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production State of ai: token-usage rankings, q1 2026

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.297414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 036b269c-7875-4501-8d4a-595be0548bff · outbound

This paper cites 2025 ai index report: Ai model performance gaps narrowing, compute costs plummeting.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production 2025 ai index report: Ai model performance gaps narrowing, compute costs plummeting

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.303034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2441701d-2c7f-4d98-aa6a-46c32420ff9f · outbound

This paper cites The Computational Limits of Deep Learning.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production The Computational Limits of Deep Learning

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.408590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c92b5f69-69d9-45d5-a68b-90612a8f6dc0 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.281654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1574f00-b03b-4bea-83b9-52e8b12f229f · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 74

Resolution: verified exact; doi, observed 2026-05-13T05:22:18.948887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45d5564e-0640-4913-88ed-e0f3fe9f68d1 · outbound

This paper cites Appenzeller.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Appenzeller

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.279994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b62728c-52c2-4fb1-bab5-b8800a554e29 · outbound

This paper cites Demirer, A.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Demirer, A

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.274692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a91901e4-55e7-4dd5-b0ea-fc2878c00f4d · outbound

This paper cites NBER Working Paper No.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production NBER Working Paper No

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.278276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9b728c0-b2d7-4a30-a405-19788b75a303 · outbound

This paper cites High cost of energy: industrial electricity prices in the eu vs the us and china.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production High cost of energy: industrial electricity prices in the eu vs the us and china

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.271272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b25e718-7e18-489b-8736-f06b0272f5ca · outbound

This paper cites Shapiro and H.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Shapiro and H

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.269493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e92250a-11c9-4675-af0c-0d2b6e083be8 · outbound

This paper cites Energy Information Administration.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Energy Information Administration

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.329812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7af78cb9-78c5-4bc4-9f5e-3e1fc3bce3b1 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.272931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d814c45a-47fa-4772-96d6-058b6c4d1100 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:27:19.456297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05cba738-48f0-475c-a26a-2ce8ea5c1a3f · outbound

This paper cites Xiaomi mimo api open platform.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Xiaomi mimo api open platform

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.276397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c766683-cab9-4fb3-8f3e-daa4f1a2e932 · outbound

This paper cites Z.ai developer documentation: pricing overview.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Z.ai developer documentation: pricing overview

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.284278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06226aa9-3c97-43a9-ad4b-257d88340173 · outbound

This paper cites Kimi api platform: model inference pricing.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Kimi api platform: model inference pricing

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.324370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ef06c40-6fd2-4cc1-a3f1-cb4dcbbf4e2d · outbound

This paper cites how cheaply can we generate tokens?.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production how cheaply can we generate tokens?

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T10:42:38.313488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b2a94ca-a9fa-48fb-a1b4-4ae46ae886c2 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.299124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a04bb42-8e1e-4c0b-a289-17aa1b982c89 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.322063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d290c00-853b-4560-98a3-75d85a14933f · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.336780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c383df8-8411-4b3a-bb17-48d9154860b4 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.333218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1958883-a74c-4df5-960d-938f8af83ef7 · outbound

This paper cites an unresolved cited work.

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-05-13T10:42:38.331595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers