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Paper Citation Record · LEDGER

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning

As of 13 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.11049.

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

pith.paper-citation-record.v1
2506.11049 v4

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:32.331780Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

52 of 52 outbound references displayed

  • verified exact6
  • verified fuzzy19
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73ac67ad-8aac-4952-8970-df7b1265a8ed · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:11:36.550914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:27.899221Z digest=sha256:7058d87864eab33566024ba795842a4eca5d282505125903298f317b2cddb605

Observation 3c53d17c-5ba1-4fb1-8210-11961758a0be · outbound

This paper cites Zaman, M.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Zaman, M

Reference 2

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no resolver link, observed 2026-08-07T15:11:27.944442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:27.944442Z digest=sha256:3395a8e50801d8e926c66ca8d5684ee83ae10c9a4321777036bf875ee0fcfcac

Observation 665e2ff2-4e29-4042-821d-f4ed74121ea2 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 3

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verified exact
doi, observed 2026-08-07T15:11:32.729569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 69b276da-f3e9-41ed-8bb2-72ca67b41ee7 · outbound

This paper cites Berg, *UA V Classification* [Computer software], Available: https: //github.com/AndrewPBerg/UA VClassification.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Berg, *UA V Classification* [Computer software], Available: https: //github.com/AndrewPBerg/UA VClassification

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.537448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.128463Z digest=sha256:dc5582f56963b32d62264cdac3941d1676e063ff64dffbc5802d9ad67661b156

Observation 1d65ea73-1954-40b2-8339-be86c9e74a6a · outbound

This paper cites Berg, Weights & Biases Project Logs [Online] Available: https:// wandb.ai/andberg9-self/projects.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Berg, Weights & Biases Project Logs [Online] Available: https:// wandb.ai/andberg9-self/projects

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.250189Z digest=sha256:d61ebc9ac95ff02f2016aff8b61218ef17e9168027c8a478c3942aaa7112b7fd

Observation 36320402-e147-47a8-b937-62abbc761fe4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 6

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no resolver link, observed 2026-08-07T15:11:28.292285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:28.292285Z digest=sha256:7bc45153e991a6ab0ec01544d375cd56987e5e0d24eeb5e59716a5ec982143d2

Observation c2ef6de0-085d-4478-ac57-e8122b0dac8f · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.514034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.348931Z digest=sha256:11d614d8fd7b99a0ff204d87a048d4539b82c118f4925215c8fee2c517491f23

Observation 38698d65-e576-466b-a334-b09c53d4abe6 · outbound

This paper cites Available: https://huggingface.co/docs/transformers/en/index.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Available: https://huggingface.co/docs/transformers/en/index

Reference 8

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raw_fallback, observed 2026-08-07T15:11:36.500939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.394332Z digest=sha256:9cf60489c91cc3d6d17499dabc95bfc508e9ce76db6e69355430110c9fc41894

Observation b04afb35-a80c-46f2-b047-6b85201f3f51 · outbound

This paper cites Available: https: //huggingface.co/docs/peft/en/index.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Available: https: //huggingface.co/docs/peft/en/index

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.488507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.452722Z digest=sha256:e4b7823d3b1970b78e96e048e6324e5ae47c40fe57cfb5c042466b10ca6b8b13

Observation 5ab76e26-690a-4e97-9898-85482d6d6079 · outbound

This paper cites Avail- able: https://lightning.ai/docs/pytorch/stable/.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Avail- able: https://lightning.ai/docs/pytorch/stable/

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.475415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.517596Z digest=sha256:73643881a82f1a7403deac54e05320b4bc0ee22a64927823961ea763c674d2e5

Observation 4b6bcb69-db65-4484-b134-dd4430b814ce · outbound

This paper cites Weights & Biases Documentation, 2025 [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Weights & Biases Documentation, 2025 [Online]

Reference 11

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raw_fallback, observed 2026-08-07T15:11:36.463092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.584623Z digest=sha256:e0e7b13511c1111ee522d4946151f9f964cbda222e4c0d4bf6023a77101f63dc

Observation 08b9291e-6c1a-44ae-82a8-3b8d3a9c2331 · outbound

This paper cites Docker Documentation, 2025 [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Docker Documentation, 2025 [Online]

Reference 12

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raw_fallback, observed 2026-08-07T15:11:36.452437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.647635Z digest=sha256:f3acf41557f7d9ab0fddd377c14ce180cdd7d366db8f237ce2a884ae8a87566a

Observation 3bfe4a76-b24c-45ce-b0bf-932081e6e4e4 · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.439065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.698986Z digest=sha256:0514f64d4c043ea9f3ddfa7b0f01f7033e632025843fb73d8f9685c1151cc4b8

Observation 0b599acb-d815-4f85-81d5-2c0b764dcabf · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.424323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.752233Z digest=sha256:2b70ffe670b632d9b2719c3e4061ea371cf73a6060917afa938909d9e55cab83

Observation 8dfad9b0-42b3-4dc2-a28e-6097ceb12241 · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.412348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b7dc58e7-3135-400c-8167-8f7777322f7e · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.399157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2019d36e-26f8-4874-bd09-e13ff8e3da20 · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.195869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:28.942959Z digest=sha256:f014f911a96f19b9a682e1be055d763fbf91d0ff9b688d9f2b542efc9465d4c3

Observation 59bcd2ab-aff4-4348-bed8-ce53cfa2d562 · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:36.020772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6380e5e7-e267-45c9-b19a-ea7d83e1b4c7 · outbound

This paper cites [Online].

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning [Online]

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:11:35.835210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3e5bf2c5-9bf9-49c3-b034-594e30cf6b8e · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-07T15:11:35.544238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6d8cb0b7-c4be-435a-b1ec-022559dde24a · outbound

This paper cites Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks

Reference 21

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e55c7773-ac88-4b77-a2a9-9e24262026e6 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-07T15:11:29.277136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.277136Z digest=sha256:fc530680527e2c47f08c6d6274f3fbf323809c8b60c333171092e970b33148c5

Observation 17dd0014-5c09-43f1-8da2-fdc57def08f2 · outbound

This paper cites K ¨ummritz, ”The sound of surveillance: Enhancing machine learning- driven drone detection with advanced acoustic augmentation,” *Drones*, vol.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning K ¨ummritz, ”The sound of surveillance: Enhancing machine learning- driven drone detection with advanced acoustic augmentation,” *Drones*, vol

Reference 23

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raw_fallback, observed 2026-08-07T15:11:35.381373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ce5d1cf1-8502-48cd-97b2-1bf56b0053e7 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-07T15:11:35.174976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4a8fd075-57cb-42f9-9fe7-d3e62dc160ea · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5d3b5fd9-2f53-40fb-9ee8-2ea26aeb203c · outbound

This paper cites Cross-Entropy Loss Functions: Theoretical Analysis and Applications.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Reference 26

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no resolver link, observed 2026-08-07T15:11:29.602768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.602768Z digest=sha256:e79a0bb5db3a8a2345b7fe4c2bc03b1b1b674796a8f0cca27c109dcb2b36dd83

Observation f5755cf1-c53e-4b75-b7cb-fd4df25b4926 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Adam: A Method for Stochastic Optimization

Reference 27

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no resolver link, observed 2026-08-07T15:11:29.670106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.670106Z digest=sha256:f4b1f6893fad861409edccbb1f16301480231b2ed7b091dfb52e6184c7575fad

Observation bbd8d9ff-4a84-44f2-9a77-d21c68a8e9f2 · outbound

This paper cites Decoupled Weight Decay Regularization.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Decoupled Weight Decay Regularization

Reference 28

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unresolved
no resolver link, observed 2026-08-07T15:11:29.722692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.722692Z digest=sha256:a41b3ff4e4e1e2b7eae9442971ccddbfd3f75a66107623cd764262ac9504a624

Observation 19d21acc-d8df-4775-bd28-51742fbb8140 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Understanding intermediate layers using linear classifier probes

Reference 29

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unresolved
no resolver link, observed 2026-08-07T15:11:29.812575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.812575Z digest=sha256:577dd18506bed728abc0f7fcd6c31fc86a1e5cb86428300761923922e17cb988

Observation ec5dffbf-b22d-4ac4-a8d9-05827326293d · outbound

This paper cites Controlling Text-to-Image Diffusion by Orthogonal Finetuning.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Reference 30

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no resolver link, observed 2026-08-07T15:11:29.872807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.872807Z digest=sha256:e415709781d1da959fd4ea2f58f92a95ae7308ae961f5a4f114bdd91df07b870

Observation 1fd94bda-3dc6-41a6-8efe-f443d0c10139 · outbound

This paper cites Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Reference 31

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no resolver link, observed 2026-08-07T15:11:29.961290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:29.961290Z digest=sha256:2642c16e3e329771d4c2095c1ae54c68ef00bf39812c0d70d9821c627dc075db

Observation 1926b55e-9936-44c8-ae77-d66cd0869197 · outbound

This paper cites Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning

Reference 32

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no resolver link, observed 2026-08-07T15:11:30.030324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:30.030324Z digest=sha256:7311b105dc784e39072db6778c6242e6a93a8d3b473c10a1c4e1a1afdd3cd57c

Observation 76be3050-5c8d-4d45-9346-375ad68e605a · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-07T15:11:34.690524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:30.142646Z digest=sha256:6182094b1732b8c6193ee4316702f4dbe1debfed5621449414e581f65a1b5ec7

Observation e6dbd324-2154-495d-8a5f-e29076fdcf7b · outbound

This paper cites Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 34

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no resolver link, observed 2026-08-07T15:11:30.222662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:30.222662Z digest=sha256:95c568b040f68c108f69c6ff56d8d360d0196c08343c475d078b6db63f70f4b0

Observation ba4b7444-69cb-4830-b93b-ef560406aadb · outbound

This paper cites Rethinking CNN Models for Audio Classification.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Rethinking CNN Models for Audio Classification

Reference 36

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unresolved
no resolver link, observed 2026-08-07T15:11:30.466495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b9c80ef-eee0-4785-8783-162fa92a9b07 · outbound

This paper cites AST: Audio Spectrogram Transformer.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning AST: Audio Spectrogram Transformer

Reference 37

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Observation 6a2d59a5-5a3c-4485-9e59-fca031e5f83e · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning ImageNet Large Scale Visual Recognition Challenge

Reference 38

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Observation 00fb7b92-0b8a-460b-8e02-699a0aad4a49 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 39

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Observation e02288a1-9e93-413d-84bd-46844286d28a · outbound

This paper cites Deep Residual Learning for Image Recognition.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Deep Residual Learning for Image Recognition

Reference 40

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Observation 7df23017-94ce-4a33-8ebd-480b06a75e14 · outbound

This paper cites Available: https://pytorch.org/vision/main/models/resnet.html.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Available: https://pytorch.org/vision/main/models/resnet.html

Reference 41

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 19147893-5245-47fe-a705-90a642a9a61d · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 42

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Observation a3b91a24-7c80-4333-80a8-f0c779975e3e · outbound

This paper cites Searching for MobileNetV3.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Searching for MobileNetV3

Reference 43

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Observation 249d4555-e0ec-40b0-869c-007e1a4f6a20 · outbound

This paper cites Available: https://pytorch.org/vision/main/models/mobilenetv3.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Available: https://pytorch.org/vision/main/models/mobilenetv3

Reference 44

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4b686d94-fd38-48b4-907c-8b3d10fc21ee · outbound

This paper cites Available: https://pytorch.org/vision/main/models/efficientnet.html.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Available: https://pytorch.org/vision/main/models/efficientnet.html

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T15:11:34.244018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:31.675642Z digest=sha256:d12444cf2858b86648519b3f06aba9806ba9596ad9924c44bf7385a97885f377

Observation 36c61954-bb73-482f-af9a-9be5e62d26da · outbound

This paper cites Advance and Refinement: The Evolution of UAV Detection and Classification Technologies.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Advance and Refinement: The Evolution of UAV Detection and Classification Technologies

Reference 47

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verified exact
local_arxiv, observed 2026-08-07T15:11:33.584656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:31.821184Z digest=sha256:8ba719861992379f7b0581f697d7f1d66b73ad294bd7c48c5da6e95102cfa935

Observation 90f99af8-d574-4e45-a207-6520ff6f992a · outbound

This paper cites UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking

Reference 48

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verified exact
local_arxiv, observed 2026-08-07T15:11:33.328311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:31.950847Z digest=sha256:cc3b1b18d9bba0b224d4ca8af9f42df2d3e5172014e5110a1b3a99447a0fcb6b

Observation aab46512-2e68-40ea-864c-85365a198a3f · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 49

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source=pdf_text observed=2026-08-07T15:11:32.064975Z digest=sha256:76b3f98bf23d890d365be4157b2f9c14c36398be8331c9a9f345c3de0dd5e016

Observation 948b1485-ac05-4321-a118-69cfe5010621 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 50

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verified exact
raw_fallback, observed 2026-08-07T15:11:33.028778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:32.208464Z digest=sha256:37f8cadf49f390148179a559c2426032cac5c82138dab343ff9908faebe9cfd1

Observation fd405fdd-f516-4fe1-815b-24588f4c74bb · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 51

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verified exact
doi, observed 2026-08-07T15:11:32.524873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:32.331780Z digest=sha256:397d07f89f5d95075af780b4c65293f868b516ca9640e38b6623d720522f4e0b

Observation aefd748f-8d3b-4dc9-a9a7-e0abe26f562a · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 2019

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Observation 5a13a61f-0d34-46d7-b6b8-198a3c1e1792 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

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source=pdf_text observed=2026-08-07T15:11:30.393444Z digest=sha256:4176e1d575f60ccdac390800bd613a150909921d7a6600eda0c4828523889918

Observation d404314f-ec84-453d-b0fd-d5e276eb1684 · outbound

This paper cites an unresolved cited work.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Unresolved cited work

Reference 2025

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raw_fallback, observed 2026-08-07T15:11:35.011210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:11:29.468036Z digest=sha256:c3be98450b404dd43c18cad7c22f94d294468f5eac50637f192ddecba80a1ca6

Pith citing papers

No inbound Pith citation observations are available.