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Paper Citation Record · LEDGER

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence

As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2506.01869.

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

pith.paper-citation-record.v1
2506.01869 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:24.436497Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:35:18.293348Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact26
  • verified fuzzy2
  • unresolved43
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45745340-0984-46be-91e0-8fd93701ae56 · outbound

This paper cites Bimpas, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Bimpas, J

Reference 1

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Observation 1c8581af-c273-4526-89c2-2af8919022d6 · outbound

This paper cites Kinnas, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Kinnas, J

Reference 2

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Observation bf34ef5f-d7af-4897-8558-d77664a6e42f · outbound

This paper cites Llisterri Gim´ enez, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Llisterri Gim´ enez, M

Reference 3

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doi, observed 2026-08-07T11:35:29.116189Z

Source-reported events for the cited work

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Observation ea49b402-9c8f-48a1-9884-91a28f733931 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 39c97b8b-bd46-44ec-876e-49a4a2f41a5a · outbound

This paper cites Violos, S.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Violos, S

Reference 5

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Observation 0723d4df-fc04-46c0-be92-1d347c53d747 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 6

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Observation bf093433-fc97-4869-a322-b9076ee9c2da · outbound

This paper cites Capra, B.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Capra, B

Reference 7

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source=pdf_text observed=2026-08-07T11:35:17.242746Z digest=sha256:013ef17433d89811ce8556b4ec905b9fafb14bc0de468a99f8c61ad0a4ede321

Observation 644a4c39-e171-47e4-a93c-f140ef5058e7 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 8

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Observation 4c160712-57a9-4b51-a654-dd149dca5340 · outbound

This paper cites Cheng, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Cheng, M

Reference 9

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Observation ea0fe0f6-746c-4d55-8a52-e2c321a53718 · outbound

This paper cites Cherniuk, S.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Cherniuk, S

Reference 10

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Observation 9d21d4b8-84a3-4a02-aaf8-d96c4deb8da9 · outbound

This paper cites Knowledge Distillation: A Survey.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Knowledge Distillation: A Survey

Reference 11

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Observation aa0c4a81-1a9a-4978-81b7-c3fc93850ee1 · outbound

This paper cites Pandey, P.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Pandey, P

Reference 12

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Observation 25038a55-ce86-4c55-b473-8f62a76085b1 · outbound

This paper cites Cancela, V.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Cancela, V

Reference 13

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Observation 5e0f8c2f-373e-4269-9ce6-d09d9eb72d7f · outbound

This paper cites Kinnas, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Kinnas, J

Reference 14

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Observation bf241704-3e98-4495-b72e-d4fd57a70c76 · outbound

This paper cites A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection

Reference 15

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Observation 436d5120-b2f7-45e7-85e8-1ede0fc17909 · outbound

This paper cites Salmani Pour Avval, N.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Salmani Pour Avval, N

Reference 16

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Observation c83e8a60-0f41-4b53-b0a0-a126737ce5de · outbound

This paper cites Curry, F.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Curry, F

Reference 17

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Observation f6e0b508-186c-4e44-a9fa-8987ada75385 · outbound

This paper cites Karathanasis, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Karathanasis, J

Reference 18

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Observation b349607e-5425-4838-8d95-986022b1b460 · outbound

This paper cites Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

Reference 19

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Observation 90cec635-8931-49c8-9da3-b75f5ec6a4db · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 20

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Observation 943a77a6-8ce5-4e22-9425-22d16a111e07 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 21

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Observation 571e4c8e-03ee-41c9-bce8-cb8291fd2c91 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Pruning Filters for Efficient ConvNets

Reference 22

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Observation 9fbe30a0-a303-4b08-b2c3-1674490e13ad · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 23

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Observation fba9ccf3-901c-4db6-b746-3d3951293f24 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 24

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Observation d5029b4f-5d36-4347-9f56-7e103ee0605c · outbound

This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 25

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Observation 7811b052-ed78-4c32-93fe-105dbd1427b9 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

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Observation c25119aa-121f-4963-982c-3d5326ef42d6 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

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Observation f37ef916-b561-4b46-84f6-d25f0fbd5df7 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 28

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Observation 8cfb08b2-eb4f-4759-a1aa-7dcef0187e08 · outbound

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Observation a2f2cde4-bedc-4bf9-90da-3e12c6364fc3 · outbound

This paper cites Tsanakas, A.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Tsanakas, A

Reference 30

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Observation af96473c-77e4-42a6-8842-0a1efb92bcb5 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 31

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Observation 91573a75-3fdd-47b8-880f-0249eb3d9647 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

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Observation 6d3a638e-bc23-4e36-9aec-62a86cafed26 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 33

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Observation 86e836d5-5d62-4d0b-a89c-4f2d3486fcfe · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 34

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Observation 441e766c-4a29-4ec4-a093-9abbc336ddae · outbound

This paper cites CURing Large Models: Compression via CUR Decomposition.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence CURing Large Models: Compression via CUR Decomposition

Reference 35

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Observation b69aceb3-7c64-4fed-8da1-7ac8abe28faf · outbound

This paper cites Nalepa, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Nalepa, M

Reference 36

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Observation 3060f9e1-2f93-44da-8e5a-37f36ca7e6bb · outbound

This paper cites Menghani, Efficient deep learning: A survey on making deep learning models smaller, faster, and better 55 (12) 1–37.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Menghani, Efficient deep learning: A survey on making deep learning models smaller, faster, and better 55 (12) 1–37

Reference 37

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Observation 2a286a04-cc05-499d-a8c6-1a9297f7076b · outbound

This paper cites Improving the Efficiency of Transformers for Resource-Constrained Devices.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Improving the Efficiency of Transformers for Resource-Constrained Devices

Reference 38

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Observation b828d58a-4ee2-411d-a218-b691b6367c71 · outbound

This paper cites Model compression via distillation and quantization.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Model compression via distillation and quantization

Reference 39

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Observation 6d5e34b7-bb56-4b4d-b215-3b9bfe07a8bb · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 40

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Observation 90ba7063-cd6b-4f6b-b704-66228d792bd9 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 41

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Observation 92e3e8e7-5a60-4c08-8fe3-2121b9b14138 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 42

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Observation 322cae50-a894-4ec4-b61d-fa0ef86f894c · outbound

This paper cites Verelst, T.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Verelst, T

Reference 43

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Observation 4c69f59f-8d14-4a63-a20c-bb1f89eb7332 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 44

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Observation 18d2eeb4-fada-46ea-bfcf-d6e2d9319796 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-07T11:35:20.599893Z digest=sha256:2a8814df28b428fe98664f4974420e4527d37c5fc0a5c51895c322052e23dfb7

Observation 1021899d-b5b4-451c-aa7e-d14c57ed1a40 · outbound

This paper cites Elkerdawy, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Elkerdawy, M

Reference 46

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source=pdf_text observed=2026-08-07T11:35:20.691995Z digest=sha256:c5e36072897d2cfecfecdcc6d804627ed719eb7c645bad748b60aa2bbbd522ac

Observation 635ac8df-6e67-4c03-b7cb-5b51baa3e1cf · outbound

This paper cites Slimmable Neural Networks.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Slimmable Neural Networks

Reference 47

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Observation 6470bc73-0249-4872-8a77-b17cdad5fd1d · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 48

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Observation aa048d41-8552-4b4b-8dbc-0974e036ca8c · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-07T11:35:21.045102Z digest=sha256:b96e8c0e6a459930f778d2577c8a182d66f46bc5d015839f0028ddbc93358962

Observation 1f04b7a2-91e7-4b1b-a934-6bc0ba2dadd9 · outbound

This paper cites Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey

Reference 50

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source=pdf_text observed=2026-08-07T11:35:21.146815Z digest=sha256:ba1db5d6739ad82404c5d075ed1d4cd40e4d34bdff08624db79a7314285b7f8f

Observation 35304f8e-60d4-4d4d-9317-3e5b63abf25d · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-07T11:35:21.285303Z digest=sha256:9f0fbb612092432f471d47cc74aafb78a969888136ace683a722d1ac509b2f28

Observation a4a5d0bb-1506-4a7f-aea8-a201a8316104 · outbound

This paper cites Apicharttrisorn, X.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Apicharttrisorn, X

Reference 52

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source=pdf_text observed=2026-08-07T11:35:21.416506Z digest=sha256:dd8d205e5501c28489996353a977f011df91fd13afed28c9dbbacc66031cb215

Observation 0c8ba0a8-422a-490d-a5a5-a1ee94282d78 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T11:35:21.490232Z digest=sha256:2b56ac0a3ab437717c11c564f91b20fc2db26bb9ee997cb79024e3e7fb2fb9fa

Observation fd55303d-fc5d-45da-a4bd-a55c4a244cff · outbound

This paper cites Wojcik, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Wojcik, M

Reference 54

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source=pdf_text observed=2026-08-07T11:35:21.580503Z digest=sha256:aeccc20869fe45f55a34b5a0ccda2f2f1f4fdc1acf55a44910c84fa1dfd0c5ff

Observation 329c807b-91d9-4f77-8511-2358c88596ed · outbound

This paper cites Rahmath P, https://orcid.org/0000-0003-1128-5964, View Profile, V.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Rahmath P, https://orcid.org/0000-0003-1128-5964, View Profile, V

Reference 55

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Observation 5d5b1a58-7f92-4260-917a-07ec89812fe3 · outbound

This paper cites Cholet, E.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Cholet, E

Reference 56

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Observation 6a9b9aa5-b6ad-4058-bbc5-b5972a37dc85 · outbound

This paper cites Kawewong, S.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Kawewong, S

Reference 57

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source=pdf_text observed=2026-08-07T11:35:21.879601Z digest=sha256:b478bd775f936ebd32967219e064c0d15869e5bca932f6b4f8b50f63e90ca459

Observation 8daedaa3-65fe-4993-89b9-3cf4590c0142 · outbound

This paper cites Grossberg, Nonlinear neural networks: Principles, mechanisms, and architec- tures 1 (1) 17–61.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Grossberg, Nonlinear neural networks: Principles, mechanisms, and architec- tures 1 (1) 17–61

Reference 58

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Observation 4edcd282-e159-42a6-bb5b-d6728a606af4 · outbound

This paper cites Adadi, A survey on data-efficient algorithms in big data era, Journal of Big Data 8 (1) (2021) 24.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Adadi, A survey on data-efficient algorithms in big data era, Journal of Big Data 8 (1) (2021) 24

Reference 59

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source=pdf_text observed=2026-08-07T11:35:22.077852Z digest=sha256:03cfc0e68343fe0818b1004182c127283e42fa582710a16df271db3edf709f73

Observation 64a4f3ea-9489-4e59-8a6e-b16910ee574f · outbound

This paper cites Sarantos, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Sarantos, J

Reference 60

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Observation 9489874a-550d-45d3-9039-794554a469c3 · outbound

This paper cites an unresolved cited work.

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Reference 61

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source=pdf_text observed=2026-08-07T11:35:22.290306Z digest=sha256:f6ea2ac0e7c93cee19e5aa0d3aad6972c796ee4be4a44691ad105f0595a14484

Observation 1ec7e4ea-8fdc-4f9e-8b2d-b4889fbcf8c6 · outbound

This paper cites Senthamarai Kannan, N.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Senthamarai Kannan, N

Reference 62

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Observation 567e20e4-2028-4000-8750-a57c3aec1fd0 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T11:35:22.476859Z digest=sha256:09dc3431263e09a76eb102c86a932f0290e87eaeb0e75fbe088b8d789452a383

Observation 7162e02d-5e5a-4bda-90ce-77a75100e0e8 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-07T11:35:22.553617Z digest=sha256:a71ff0fe9cf4e99811fe29857368b51400df2e7fc4490ee001b831a785152ed1

Observation d5e70849-1495-4de5-afd7-0c50ddd6df77 · outbound

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Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 65

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Observation 43e3e46c-f810-442a-9645-48825d52b0a4 · outbound

This paper cites Jim´ enez-Cordero, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Jim´ enez-Cordero, J

Reference 66

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Observation e09a35d3-c06d-41b0-8245-5e4114a31ced · outbound

This paper cites Seijo-Pardo, I.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Seijo-Pardo, I

Reference 67

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Observation 8739ee2e-517e-4f1c-b3b8-7aed12d3cb0a · outbound

This paper cites Mohammed, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Mohammed, J

Reference 68

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Observation 359e8867-6283-440f-95f3-27019fe90c6e · outbound

This paper cites Werner de Vargas, J.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Werner de Vargas, J

Reference 69

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source=pdf_text observed=2026-08-07T11:35:22.891627Z digest=sha256:98ec4a447f0ce41f3ffb0d660be8d7ca0659cb33376708fb63566bb39d2dd835

Observation e4274c0a-5400-4f0f-b7b7-722e94b3e8b1 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-07T11:35:22.969818Z digest=sha256:1705501f0b81c3fc713c6c6c11f3ba8a8d8d6f1197c29b3956084bc83373f281

Observation 8c4e1d5a-0b6e-497e-a10e-cfe4cbac871c · outbound

This paper cites Dataset Distillation.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Dataset Distillation

Reference 71

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source=pdf_text observed=2026-08-07T11:35:23.023628Z digest=sha256:3755178d7721263fbcd861426cbb02350a741518528d3c4f83788bcb95f7ad47

Observation 058d4420-dc52-4f7a-bd7a-bae659d5a729 · outbound

This paper cites Dataset Distillation: A Comprehensive Review.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Dataset Distillation: A Comprehensive Review

Reference 72

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source=pdf_text observed=2026-08-07T11:35:23.116065Z digest=sha256:3e79174d6d26305ea2b7e6ed66a7d1ab2d702a2b2d74b8ee86e14c1496794746

Observation e3960777-fe08-44ff-ba47-5888c9f4e4e8 · outbound

This paper cites URL https://doi.org/10.1007/s10462-024-11058-w.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence URL https://doi.org/10.1007/s10462-024-11058-w

Reference 73

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source=pdf_text observed=2026-08-07T11:35:18.093621Z digest=sha256:b068e801049d59915978e0e78cea1a4e072de8668bd2dc1a3645f85ecbee4214

Observation 785719e1-b305-44f2-a961-19396ccea447 · outbound

This paper cites Tsanakas, A.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Tsanakas, A

Reference 74

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Observation 91515021-530c-4522-a615-a7ce26fd5b03 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-07T11:35:23.272866Z digest=sha256:4ef091c4ecbafef39b1e2bac2ec467097227668a8f5b19d8db0070cb9f9c05d9

Observation 20978503-b845-4fa1-b3fa-e6eabc0189e3 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 76

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Observation d52f3d5f-bc02-4b4e-b0d5-fcbc74793abb · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fa7929de-f3e6-4aa3-b3e1-22a82cea4e88 · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 78

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3a441ae4-8f62-4c8c-90e0-c2d86fab773c · outbound

This paper cites Bischl, M.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Bischl, M

Reference 79

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no resolver link, observed 2026-08-07T11:35:23.833098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 91ca94d5-04e8-43b9-82f8-9eb10f74f4f2 · outbound

This paper cites Bergstra, Y.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Bergstra, Y

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bc16ad82-9219-4cd8-ac53-e783e63cdf9b · outbound

This paper cites A survey on FPGA-based accelerator for ML models.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence A survey on FPGA-based accelerator for ML models

Reference 81

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Observation 877f1e0b-c13e-4d7a-981e-d9030b29176b · outbound

This paper cites Parnell, C.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Parnell, C

Reference 82

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 34f42a2d-af76-416e-8e05-e064c7bfb999 · outbound

This paper cites A Survey of Neuromorphic Computing and Neural Networks in Hardware.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence A Survey of Neuromorphic Computing and Neural Networks in Hardware

Reference 83

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no resolver link, observed 2026-08-07T11:35:24.197064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:24.197064Z digest=sha256:bfc35a0b05a45febd64f4b4568de58b6d29cd86c1d23a96fcc0a7307980cea3e

Observation f9b0b59c-202c-4a24-b5ea-ecc4814462bf · outbound

This paper cites Balaji, A.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Balaji, A

Reference 84

Resolution
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raw_fallback, observed 2026-08-07T11:35:29.532373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fb0dcbd9-5916-424f-95a3-82d6f648f1f8 · outbound

This paper cites Once-for-All: Train One Network and Specialize it for Efficient Deployment.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Once-for-All: Train One Network and Specialize it for Efficient Deployment

Reference 85

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source=pdf_text observed=2026-08-07T11:35:24.361118Z digest=sha256:d145e0db322c9caa1b775b6ae976ff95c8e213fe7b1c321e98ce982915bfb2da

Observation 9ea6cad4-af73-44cd-b131-2414f1a1e2af · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 86

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unresolved
no resolver link, observed 2026-08-07T11:35:24.291924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:24.291924Z digest=sha256:f8400eff31ea6011ae6547f7523d9a2aea21c2adba1030f2a648f5d3768aebb8

Observation 541ee927-433d-4063-bf48-edd1fd732220 · outbound

This paper cites Kuhrt, N.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Kuhrt, N

Reference 88

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 25a235d7-ec90-4fc9-8ed0-27ee797b2c7c · outbound

This paper cites an unresolved cited work.

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence Unresolved cited work

Reference 474

Resolution
verified exact
doi, observed 2026-08-07T11:35:24.914544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:35:23.656650Z digest=sha256:b7b9b11836766e793ab0108ce639ad2e0c8332c6cc20e89d7f5a91a933467e2f

Pith citing papers

Observation 72c15d5a-371f-497a-bd4a-d46801fea9da · inbound

Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI cites this paper.

Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence

Reference 2018

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:35:18.293348Z digest=sha256:1e51d965af72ef278784400f61210f725ec75eacff4c290349d093e0b0986d8d