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Paper Citation Record · LEDGER

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2508.13101.

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

pith.paper-citation-record.v1
2508.13101 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:12:09.471634Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eac3d54-d9c2-4812-ad70-1e5846796576 · outbound

This paper cites Plastic waste inputs from land into the ocean,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Plastic waste inputs from land into the ocean,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:11.438597Z

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=arxiv_source observed=2026-08-05T19:12:07.884026Z digest=sha256:d9df81c9e08a8e77154ebd2f805d57d2443ee26dcd2d6a55bebb6304ed53aa19

Observation 355cb48d-b211-4490-8775-9031c8bb347d · outbound

This paper cites an unresolved cited work.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T19:12:11.248790Z

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=arxiv_source observed=2026-08-05T19:12:07.965772Z digest=sha256:c056e70d6cf662692d8c7a7da8c63651e62778370b66b02f8ee0c6e758d688e2

Observation 0f474ec5-093d-4e11-a349-5c191f86c0e4 · outbound

This paper cites Efficient Multi-scale Feature Fusion for Object Detection,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Efficient Multi-scale Feature Fusion for Object Detection,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:11.060544Z

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=arxiv_source observed=2026-08-05T19:12:08.078031Z digest=sha256:10ec5d157f7f7d494c142e7738c80b345afa7143017ba37f7c43b9b88e9f0dc0

Observation 912c0abb-d41a-461e-ab81-b44bf50842b0 · outbound

This paper cites Waste management in coastal areas: Challenges and solutions,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Waste management in coastal areas: Challenges and solutions,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.887081Z

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=arxiv_source observed=2026-08-05T19:12:08.171979Z digest=sha256:6570227896506bb1ab4cb3ac32d635612fa2a85566099b44a2269de428658c7c

Observation cf13255f-cdff-4431-89b6-9bd9f63a5bbd · outbound

This paper cites End-to-End Object Detection with Transformers,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants End-to-End Object Detection with Transformers,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.674757Z

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=arxiv_source observed=2026-08-05T19:12:08.280286Z digest=sha256:abe9371fff3cf61a1d57f17f9be15ce1aa9e47dc97f1f39e4bab928c19295e95

Observation be1547ab-9f72-4128-b072-2b8e30d32bbe · outbound

This paper cites Sparse R-CNN: End-to-End Object Detection with Learnable Proposals,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Sparse R-CNN: End-to-End Object Detection with Learnable Proposals,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.514511Z

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=arxiv_source observed=2026-08-05T19:12:08.355776Z digest=sha256:dcc1ec138be0e5894d32ebeebc71e779313c2bf170d92d1ca9428715c3cda835

Observation f78ce492-9ca0-4553-87a8-0433cdc71e4c · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants DETRs Beat YOLOs on Real-time Object Detection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T19:12:08.442663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:08.442663Z digest=sha256:58f016a7e38dd0f0053122feac5e58d22aadb3a6b6461cdf459c8b8bb1591d82

Observation cba69ac9-4669-4801-b7bd-22fa258c10b9 · outbound

This paper cites Beach Waste Dataset,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Beach Waste Dataset,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.366962Z

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=arxiv_source observed=2026-08-05T19:12:08.522358Z digest=sha256:e10e50646781c8b344079d478db9509e090c779d5d407d6c028c314bff17fc9c

Observation fc20107c-4b64-4607-9c90-5c79770b876b · outbound

This paper cites Attribution 4.0 International (CC BY 4.0) License,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Attribution 4.0 International (CC BY 4.0) License,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.232818Z

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=arxiv_source observed=2026-08-05T19:12:08.629748Z digest=sha256:56345dcb4f3b4ce13595806b71c3f3613193afd9681dc0b9e77ce5007dcc792d

Observation 76f0687e-220a-44b5-8a30-c27c520b5e06 · outbound

This paper cites Ultralytics Neural Network Modules,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Ultralytics Neural Network Modules,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:10.084392Z

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=arxiv_source observed=2026-08-05T19:12:08.744625Z digest=sha256:aab2695b908e70e45eb359f07a800c8f773a4876f97e64b5ea03f6e34b587b12

Observation 5002e152-d4ab-4213-b5a4-b01bd9b2221d · outbound

This paper cites Xception: Deep Learning with Depthwise Separable Convolutions.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Xception: Deep Learning with Depthwise Separable Convolutions

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T19:12:08.916978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:08.916978Z digest=sha256:627377860aaa5f598f717506f8b91daf2610afba8bd06cfd559504d62f5026f7

Observation dd96239b-a94e-4ead-90aa-225651406513 · outbound

This paper cites Focal Loss for Dense Object Detection.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Focal Loss for Dense Object Detection

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T19:12:09.058006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:09.058006Z digest=sha256:97d2cdfc6afde471a25be875e5c88e5afedffee14934791f81e47028460e5b28

Observation 660fc0e9-3c25-4af1-bc38-f5038511e8ca · outbound

This paper cites Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T19:12:09.229048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:09.229048Z digest=sha256:54da03feaa986e88b66c07b94cfd1637ea7dc39d1508cbb5eb52c5ba7df2bbf4

Observation 6235ac5b-35e9-4830-b71c-bd36a59bcbcf · outbound

This paper cites VarifocalNet: An IoU-aware Dense Object Detector.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants VarifocalNet: An IoU-aware Dense Object Detector

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T19:12:09.757631Z

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=arxiv_source observed=2026-08-05T19:12:09.300789Z digest=sha256:e5bf103eb24cf5e74eec336e11bb409d89036777ab809cbce1cc4d718e3ae230

Observation 4e7efd0d-a523-49e9-a918-90df0dd1a46b · outbound

This paper cites Decoupled Weight Decay Regularization.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Decoupled Weight Decay Regularization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T19:12:09.383652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:09.383652Z digest=sha256:f1bbb0f65567e63bef294ef43e9e73e2e2b7bd123469a5adeeb7682f62d5fb7a

Observation 96753215-0d9a-4ab3-b4ed-0df1db44d545 · outbound

This paper cites Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,.

Real-Time Beach Litter Detection and Counting: A Comparative Analysis of RT-DETR Model Variants Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:12:09.922174Z

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=arxiv_source observed=2026-08-05T19:12:09.471634Z digest=sha256:c3a11ae4c78ca32424779269cb2fc70f8b96fde717614e0fcf149243f6906490

Pith citing papers

No inbound Pith citation observations are available.