Paper Citation Record · LEDGER

Efficient Object Detection of Marine Debris using Pruned YOLO Model

As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2501.16571.

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

pith.paper-citation-record.v1
2501.16571 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T12:17:32.356796Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

51 of 51 outbound references displayed

verified exact18
verified fuzzy6
unresolved22
parse uncertain0
malformed identifier4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c97c49b0-7622-4817-8c1d-8167b4de945b · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.667258Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0faea451-673d-47d0-b83f-102201c0a2de · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T12:17:34.270829Z

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Observation dc68c60e-5c80-4b84-af1f-ad00a39fe5c3 · outbound

This paper cites Oceanic, A.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Oceanic, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.253087Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f776f0cf-312d-42fc-b719-53b8b8f05132 · outbound

This paper cites Cherson, The marine debris research, prevention and reduction act: A policy analysis (2005).

Efficient Object Detection of Marine Debris using Pruned YOLO Model Cherson, The marine debris research, prevention and reduction act: A policy analysis (2005)

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-10T12:17:34.043736Z

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Observation c5d491ef-1aa9-4f8e-8eb6-0211a754bf5d · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 5

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Observation 8b5b2c79-85aa-4c8e-b891-50fc1460db2f · outbound

This paper cites Hyakudome, Design of autonomous underwater vehicle (2011).

Efficient Object Detection of Marine Debris using Pruned YOLO Model Hyakudome, Design of autonomous underwater vehicle (2011)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.204667Z

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Observation 570c6e6f-c505-42ec-a657-d02a5d7b6544 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 7

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Observation 9133a329-c38c-4f8e-a1a7-b0fc6e1b0ef1 · outbound

This paper cites Wiley, T.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Wiley, T

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.650674Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6fa3714f-04db-43bc-9ae7-9e7ad3209f98 · outbound

This paper cites Cosido, A.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Cosido, A

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.632910Z

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Observation a2cf21d6-7bfd-47d3-a800-d468c8788d63 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation fcfc8427-97a1-4052-9643-40cd5c698acd · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.616647Z

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Observation 51605cf8-321a-4536-bb9e-9bea5cf6b80e · outbound

This paper cites Carranza-Garc´ıa, J.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Carranza-Garc´ıa, J

Reference 12

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.600260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d94a2b0-4094-4d58-a8be-118b46c075dc · outbound

This paper cites Janakiramaiah, G.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Janakiramaiah, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.179918Z

Source-reported events for the cited work

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Observation fe11fc6d-2b8d-437b-ac23-032db8449fad · outbound

This paper cites Aralikatti, J.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Aralikatti, J

Reference 14

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Source-reported events for the cited work

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Observation 6497f9a4-fb04-4efc-aeec-9e4e0e8607c6 · outbound

This paper cites Balasubramaniam, S.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Balasubramaniam, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.155993Z

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Observation c6476bb8-8175-4315-8549-df9582861ad0 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.570345Z

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Observation c3127e94-728c-411e-9c9a-149bfbdc6194 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 17

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Observation 1683bd7f-59c3-46a3-96e2-788244f68d81 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 18

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Observation 6112295f-326a-48b1-af40-5f7c6c283af0 · outbound

This paper cites Srivastava, A.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Srivastava, A

Reference 19

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Source-reported events for the cited work

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Observation 99ce40c9-4e77-4734-8757-96fb96b1f682 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 20

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.536307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 618875b2-a667-403f-a54f-760b2667f9ec · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.520528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76eb88b7-f12f-41df-bac8-aaa2b9551e92 · outbound

This paper cites A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models.

Efficient Object Detection of Marine Debris using Pruned YOLO Model A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models

Reference 22

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Observation 35903fed-478a-413d-abc0-adcff9556184 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T12:17:32.220045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea47f9d3-cf54-4bfa-a331-5f204e935ed1 · outbound

This paper cites Algorry, A.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Algorry, A

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.503738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 49595f7e-a055-4494-9c35-76cebcc0ab4a · outbound

This paper cites Benjdira, T.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Benjdira, T

Reference 25

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Observation 61d0b618-cbd0-495f-9d59-b01adf7e813d · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 5189667e-aa5b-4ef2-89d2-622ee2cbeef6 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.487032Z

Source-reported events for the cited work

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Observation abc4a893-6b1e-44bc-9e20-2d16d51a0f65 · outbound

This paper cites Fulton, J.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Fulton, J

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24dac4e8-4e23-47ba-a31e-2982e93c8866 · outbound

This paper cites Majchrowska, A.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Majchrowska, A

Reference 29

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Observation b8dc189e-95bf-40e5-a46d-6fae18a6c9a3 · outbound

This paper cites S´anchez-Ferrer, J.

Efficient Object Detection of Marine Debris using Pruned YOLO Model S´anchez-Ferrer, J

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.460555Z

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Observation b8779302-7186-4b0c-a202-2cfffcf68b1d · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 31

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Observation d00fd2e8-d673-4984-8da0-74e21edce54e · outbound

This paper cites Tajbakhsh, J.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Tajbakhsh, J

Reference 32

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Source-reported events for the cited work

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Observation e1730a8f-65f6-4710-8a7e-c5ad73edeba1 · outbound

This paper cites Diwan, G.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Diwan, G

Reference 33

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Observation c24c0eb1-7f7d-496a-8551-ee04df504a80 · outbound

This paper cites Hosang, R.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Hosang, R

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.435363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a3194bd-0143-4adf-94c0-72f09bf7e36d · outbound

This paper cites Mahasin, I.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Mahasin, I

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T12:17:32.419639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84d5d54b-8bf8-4bc2-b91a-5fb3ffbe4818 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Efficient Object Detection of Marine Debris using Pruned YOLO Model YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 36

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Observation e0a9b085-0ae7-4909-a104-c4c2058a1dd2 · outbound

This paper cites Misra, Mish: A self regularized non-monotonic activation function, in: British Machine Vision Conference, 2020.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Misra, Mish: A self regularized non-monotonic activation function, in: British Machine Vision Conference, 2020

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.116004Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be0a7584-cd82-4299-8587-d8cb3fa458e0 · outbound

This paper cites Qiang, W.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Qiang, W

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-10T12:17:33.064828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ea909c5-ff28-40cd-b969-1fe9981fcf54 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d9b6f3-1828-48c9-a16d-25d76d2451f4 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Efficient Object Detection of Marine Debris using Pruned YOLO Model YOLOv3: An Incremental Improvement

Reference 40

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Unavailable: canonical work link unavailable.

Observation f7b30128-0f6f-488d-b9bc-0fc0a7d980d0 · outbound

This paper cites Zheng, P.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Zheng, P

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fac717e-c00e-4f4c-a66f-851b8b645aff · outbound

This paper cites Krizhevsky, I.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Krizhevsky, I

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T12:17:34.088920Z

Source-reported events for the cited work

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Observation eb0e98cd-d1d5-4cf9-b57c-cbdacc373772 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830b327d-f3a3-45ab-b1ad-7b21f1c4f6ed · outbound

This paper cites Going Deeper with Convolutions.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Going Deeper with Convolutions

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ae8bca-cff1-434d-97d9-b920cee6242a · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Efficient Object Detection of Marine Debris using Pruned YOLO Model U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T12:17:32.328106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fa05c5-3fe1-49d8-baea-98ec5ecba77b · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd53059-9ddd-46f1-82bd-28c7ecec10f3 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d10d365a-50b6-4749-bf40-8bc012b74a61 · outbound

This paper cites an unresolved cited work.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Unresolved cited work

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-10T12:17:32.834998Z

Source-reported events for the cited work

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Observation c6b09eae-1885-44a8-8cb5-00f9d021bc27 · outbound

This paper cites Learning Efficient Convolutional Networks through Network Slimming.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Learning Efficient Convolutional Networks through Network Slimming

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T12:17:32.347011Z

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Observation 646cda9c-310e-4db1-8cef-8dd4790264fc · outbound

This paper cites Deep Residual Learning for Image Recognition.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Deep Residual Learning for Image Recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T12:17:32.351693Z

Source-reported events for the cited work

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Observation 5e4cadbf-fac9-4378-a50e-7b256a853224 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Efficient Object Detection of Marine Debris using Pruned YOLO Model Microsoft COCO: Common Objects in Context

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T12:17:32.356796Z

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Pith citing papers

No inbound Pith citation observations are available.