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Paper Citation Record · LEDGER

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.15290.

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

pith.paper-citation-record.v1
2411.15290 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:37:13.833236Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

41 of 41 outbound references displayed

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  • verified fuzzy31
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f048627-ef00-40f3-a16e-ee020f5f2a55 · outbound

This paper cites Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, and Nicholas Donald Lane.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, and Nicholas Donald Lane

Reference 1

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Observation 0b5a7ea2-d378-4764-bf31-94434c90126d · outbound

This paper cites EZNAS: evolving zero-cost proxies for neural ar- chitecture scoring.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS EZNAS: evolving zero-cost proxies for neural ar- chitecture scoring

Reference 2

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Observation 1079715a-3b94-4f5b-8a49-7ebd9f0e8627 · outbound

This paper cites Plant disease detection using ai based vgg-16 model.Interna- tional Journal of Advanced Computer Science and Applica- tions, 2022.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Plant disease detection using ai based vgg-16 model.Interna- tional Journal of Advanced Computer Science and Applica- tions, 2022

Reference 3

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Observation c7c8fb5b-37cb-4c27-961e-ccf707c280b8 · outbound

This paper cites an unresolved cited work.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a3cb2f1b-746f-48bd-addb-c03314820481 · outbound

This paper cites Low-Cost Recurrent Neural Network Expected Performance Evaluation.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Low-Cost Recurrent Neural Network Expected Performance Evaluation

Reference 5

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dd2abed5-ab95-42ea-b6bb-59a2db54f928 · outbound

This paper cites Neural architecture search on imagenet in four GPU hours: A theoretically inspired perspective.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Neural architecture search on imagenet in four GPU hours: A theoretically inspired perspective

Reference 6

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Source-reported events for the cited work

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Observation 99dcc5a2-a336-45b0-a707-0011d2eaeb29 · outbound

This paper cites Towards physical plausibility in neu- roevolution systems.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Towards physical plausibility in neu- roevolution systems

Reference 7

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Observation 79f895de-04f3-4278-8f79-c92c05bd47fd · outbound

This paper cites Threats and opportunities with ai-based cyber security intrusion detection: A review.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Threats and opportunities with ai-based cyber security intrusion detection: A review

Reference 8

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Observation 1b47de0d-e9ea-4f41-a75e-efbd754585f5 · outbound

This paper cites The growing energy footprint of artificial intelligence.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS The growing energy footprint of artificial intelligence

Reference 9

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Observation 060dc7fa-1c9d-4b20-a49c-4d4f3b1443ea · outbound

This paper cites ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS ParZC: Parametric Zero-Cost Proxies for Efficient NAS

Reference 10

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Source-reported events for the cited work

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Observation fc322730-1be9-4a03-b4a7-5123919429fd · outbound

This paper cites NAS-Bench-201: Extending the scope of reproducible neural architecture search.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS NAS-Bench-201: Extending the scope of reproducible neural architecture search

Reference 11

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Observation aaa9219f-a2c7-4ea8-ac29-f20f8e190645 · outbound

This paper cites NATS-Bench: Benchmarking NAS algorithms for architecture topology and size.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS NATS-Bench: Benchmarking NAS algorithms for architecture topology and size

Reference 12

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8a59bd32-d681-433a-b852-53a23a40a158 · outbound

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GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unresolved cited work

Reference 13

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Observation a01edb65-d2b1-4dd2-a450-e2f9b7ef7d47 · outbound

This paper cites DEAP: evolutionary algorithms made easy.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS DEAP: evolutionary algorithms made easy

Reference 14

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Observation 63638966-230f-40b6-b62c-120333fd5d3c · outbound

This paper cites Ai and the econ- omy.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Ai and the econ- omy

Reference 15

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Observation 6b4378af-90b7-49d3-a241-e11d153448ca · outbound

This paper cites I, robot: the three laws of robotics and the ethics of the peopleless economy.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS I, robot: the three laws of robotics and the ethics of the peopleless economy

Reference 16

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Observation 02ce0d48-df43-44d1-a7e9-b98fec1eb369 · outbound

This paper cites 2024 Environmental Report.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS 2024 Environmental Report

Reference 17

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Observation 360533e1-cf1c-4016-81f4-12333987fa01 · outbound

This paper cites Deivalaskhmi, G.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Deivalaskhmi, G

Reference 18

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Observation ea8a4a6f-eb0a-47ba-b830-b3b26694bf46 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Deep Learning Scaling is Predictable, Empirically

Reference 19

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Source-reported events for the cited work

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Observation d5177e13-392c-425d-bd74-0cf8e07662ae · outbound

This paper cites Bias in AI-Based Decision-Making , pages 275–.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Bias in AI-Based Decision-Making , pages 275–

Reference 20

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Observation 1fe120ba-6353-45f2-8222-c7a586d8f89d · outbound

This paper cites AZ-NAS: assem- bling zero-cost proxies for network architecture search.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS AZ-NAS: assem- bling zero-cost proxies for network architecture search

Reference 21

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Observation 42b02efd-2ab2-4b04-88aa-543be5a45393 · outbound

This paper cites Zico: Zero-shot NAS via inverse co- efficient of variation on gradients.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Zico: Zero-shot NAS via inverse co- efficient of variation on gradients

Reference 22

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Observation 529ee537-578c-4f33-a60c-19f825cc0cfb · outbound

This paper cites Zen-nas: A zero-shot NAS for high-performance image recogni- tion.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Zen-nas: A zero-shot NAS for high-performance image recogni- tion

Reference 23

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Observation 1159a04a-35cc-48af-9517-2f933c7223de · outbound

This paper cites Pereira, and Ernesto Costa.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Pereira, and Ernesto Costa

Reference 24

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Observation 0adbf394-f2ad-4ebb-b0c5-edf6609cf89d · outbound

This paper cites Pereira, Ernesto Costa, and Penousal Machado.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Pereira, Ernesto Costa, and Penousal Machado

Reference 25

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Observation bf7e2fe4-f88f-4ef2-b658-e444d3f247a5 · outbound

This paper cites Networks of spiking neurons: The third generation of neural network models.Neural Net- works, 10(9):1659–1671, 1997.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Networks of spiking neurons: The third generation of neural network models.Neural Net- works, 10(9):1659–1671, 1997

Reference 26

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This paper cites Neural architecture search without training.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Neural architecture search without training

Reference 27

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Observation 3e2cf9eb-5cbe-424b-b40d-907e4bd76489 · outbound

This paper cites Patterson, Joseph Gonzalez, Urs H ¨olzle, Quoc V.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Patterson, Joseph Gonzalez, Urs H ¨olzle, Quoc V

Reference 28

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Source-reported events for the cited work

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Observation e517f9a8-341e-4f10-b5fd-9764afff8a2f · outbound

This paper cites Poisoning Attacks and Defenses on Artificial Intelligence: A Survey.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Poisoning Attacks and Defenses on Artificial Intelligence: A Survey

Reference 29

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Source-reported events for the cited work

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Observation 2b8133cc-a0d9-4a29-8cbf-b1e1250b3149 · outbound

This paper cites Microsoft’s carbon emissions up nearly 30 https://www.msn.com/en-us/money/other/ microsofts - carbon - emissions - up - nearly - 30-thanks-to-ai/ar-BB1mvgao , 2024.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Microsoft’s carbon emissions up nearly 30 https://www.msn.com/en-us/money/other/ microsofts - carbon - emissions - up - nearly - 30-thanks-to-ai/ar-BB1mvgao , 2024

Reference 30

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This paper cites A comprehensive survey on model quantiza- tion for deep neural networks in image classification.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS A comprehensive survey on model quantiza- tion for deep neural networks in image classification

Reference 31

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Observation 20907f8b-c699-49d6-94ee-d41aa0841533 · outbound

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GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unresolved cited work

Reference 32

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Observation c1e5f33b-63b8-47af-bd90-cec536633815 · outbound

This paper cites Assessment of problem modality by differ- ential performance of lexicase selection in genetic pro- gramming: a preliminary report.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Assessment of problem modality by differ- ential performance of lexicase selection in genetic pro- gramming: a preliminary report

Reference 33

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Source-reported events for the cited work

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Observation 41e57c43-b621-4d6a-b5b4-811b06d58ff7 · outbound

This paper cites Unemployment in the AI age.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unemployment in the AI age

Reference 34

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verified fuzzy
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8bff6ce9-04d0-44c1-98f5-f4a27f17efe1 · outbound

This paper cites an unresolved cited work.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unresolved cited work

Reference 35

Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c47cb20a-966e-4769-91b3-ae7bcfe45289 · outbound

This paper cites AI and ML for Transportation Route Op- timization.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS AI and ML for Transportation Route Op- timization

Reference 36

Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Sustainable AI: AI for sus- tainability and the sustainability of AI.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Sustainable AI: AI for sus- tainability and the sustainability of AI

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Willis, H.G.

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Willis, H.G

Reference 38

Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Training-free neu- ral architecture search: A review.

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Reference 39

Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bd33d71b-569c-40a2-92f3-b2bf96e3d562 · outbound

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GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 40

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d4017e0-2a6f-4011-8d35-531b250462b2 · outbound

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GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS Unresolved cited work

Reference 285

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.