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Paper Citation Record · LEDGER

Robust and Label-Efficient Deep Waste Detection

As of 8 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2508.18799.

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

pith.paper-citation-record.v1
2508.18799 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:15:07.234614Z

measured 74 of 74 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

74 of 74 outbound references displayed

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  • verified fuzzy39
  • unresolved22
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7dcd715-a240-4f72-8b56-b523be3f6536 · outbound

This paper cites AMP Robotics.https://www.amprobotics.com/.

Robust and Label-Efficient Deep Waste Detection AMP Robotics.https://www.amprobotics.com/

Reference 1

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Observation 3e978860-9913-4cbb-a2cd-0a1f60391b80 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 2

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Observation 096a3471-cec0-4f8f-8c2c-98061556ef25 · outbound

This paper cites Bircanoglu, M.

Robust and Label-Efficient Deep Waste Detection Bircanoglu, M

Reference 3

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Observation e9b59d5d-e61b-4b93-9e9c-eb87f4596fab · outbound

This paper cites Materials recovery facility.

Robust and Label-Efficient Deep Waste Detection Materials recovery facility

Reference 4

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

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Observation 81ad2e22-7e79-4fde-ae5b-7faeea400121 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 5

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Observation 60a7d38e-4f71-4b67-84c0-1b6067ee9a8d · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 6

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Observation a1b9de14-e6e6-4a11-81e1-92c875bd0b3c · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Robust and Label-Efficient Deep Waste Detection MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 7

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Observation 4c6d39b4-597b-4032-a755-f454e637415f · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

Robust and Label-Efficient Deep Waste Detection Yolo-world: Real-time open-vocabulary object detection

Reference 8

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Observation b0843ef5-78b0-4352-87b7-bf299ea5b566 · outbound

This paper cites Domestic trash dataset.https://github.com/dataclust er-labs/Domestic-Trash-Dataset, 2021.

Robust and Label-Efficient Deep Waste Detection Domestic trash dataset.https://github.com/dataclust er-labs/Domestic-Trash-Dataset, 2021

Reference 9

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Observation 7b7be8f2-49bf-43bc-af16-0b3ecdaeb2d1 · outbound

This paper cites Advancing sustainable materials manage- ment: 2018 fact sheet, 2020.

Robust and Label-Efficient Deep Waste Detection Advancing sustainable materials manage- ment: 2018 fact sheet, 2020

Reference 10

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Observation b821bb7d-ee14-44c0-aca6-06a2fb57c73d · outbound

This paper cites Everingham, L.

Robust and Label-Efficient Deep Waste Detection Everingham, L

Reference 11

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Observation 8cfaaca5-3902-4051-88eb-3b5ff1e20ab8 · outbound

This paper cites An intel- ligent waste-sorting and recycling device based on improved efficientnet.Interna- tional Journal of Environmental Research and Public Health, 19(23):15987, 2022.

Robust and Label-Efficient Deep Waste Detection An intel- ligent waste-sorting and recycling device based on improved efficientnet.Interna- tional Journal of Environmental Research and Public Health, 19(23):15987, 2022

Reference 12

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Observation bd3dcb7c-7a43-4652-832f-0d29b3af3578 · outbound

This paper cites A review on automated sorting of source-separated municipal solid waste for recycling.Waste Management, 60:56–74, 2017.

Robust and Label-Efficient Deep Waste Detection A review on automated sorting of source-separated municipal solid waste for recycling.Waste Management, 60:56–74, 2017

Reference 13

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Observation 65b5640b-6e15-4b68-837f-a2fdee0d0642 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Robust and Label-Efficient Deep Waste Detection Lvis: A dataset for large vocabulary instance segmentation

Reference 14

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Observation 3ab625c2-741f-4f1f-95ed-7c894f59e1a0 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 15

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Observation 2560e013-35d4-40e0-b5f8-1d89560c1b62 · outbound

This paper cites Mask r-cnn.

Robust and Label-Efficient Deep Waste Detection Mask r-cnn

Reference 16

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Observation ffdf76d7-091f-48a6-9712-2f377771decb · outbound

This paper cites Yolo evolution: A comprehensive benchmark and architectural review of yolov12, yolo11, and their previous versions, 2025.

Robust and Label-Efficient Deep Waste Detection Yolo evolution: A comprehensive benchmark and architectural review of yolov12, yolo11, and their previous versions, 2025

Reference 17

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Observation b07fa155-e0df-4e0b-9d51-b6569f4a917e · outbound

This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

Robust and Label-Efficient Deep Waste Detection Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 18

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Observation d498ec5b-2f96-4e9b-bd06-c0b5bbeb52fb · outbound

This paper cites World Bank, 2018.

Robust and Label-Efficient Deep Waste Detection World Bank, 2018

Reference 19

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Observation 13e5a6aa-3241-46fe-b03f-fb4caf24fbf4 · outbound

This paper cites The role of the waste sector in the sustainable development goals and the ipcc assessment reports.Österreichische Wasser- und Abfallwirtschaft, 76:300–307, 2024.

Robust and Label-Efficient Deep Waste Detection The role of the waste sector in the sustainable development goals and the ipcc assessment reports.Österreichische Wasser- und Abfallwirtschaft, 76:300–307, 2024

Reference 20

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Observation 098ce48c-6f0a-484a-9323-63c726945ff6 · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 21

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Observation db5fb035-ae48-4b22-8ee9-802df495fc40 · outbound

This paper cites Scale-aware trident networks for object detection.

Robust and Label-Efficient Deep Waste Detection Scale-aware trident networks for object detection

Reference 22

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Observation e2f08c1b-30a6-4f6e-80b8-f26b714e2f2c · outbound

This paper cites Microsoft coco: Common objects in context.European Conference on Computer Vision (ECCV), 2014.

Robust and Label-Efficient Deep Waste Detection Microsoft coco: Common objects in context.European Conference on Computer Vision (ECCV), 2014

Reference 23

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Observation 0a186f45-ce90-4dd1-b2b9-6167a036a5d3 · outbound

This paper cites Focal loss for dense object detection.

Robust and Label-Efficient Deep Waste Detection Focal loss for dense object detection

Reference 24

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Observation fa7fd6f0-0afe-402a-83be-ca37e2dea225 · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

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Observation 91fa05e7-f585-434e-89ad-9a9c4f3882c8 · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 26

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This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Robust and Label-Efficient Deep Waste Detection Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 27

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 28

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Observation d2ae77ba-2b9c-4e1d-8789-5cbf8d1a27f8 · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 29

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Observation dfab1586-5d6d-4bcc-8486-ef84344c04ff · outbound

This paper cites Unbiased teacher for semi-supervised object detection.

Robust and Label-Efficient Deep Waste Detection Unbiased teacher for semi-supervised object detection

Reference 30

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Observation b4dd69a9-77c9-48b7-950a-923ab2a159db · outbound

This paper cites Dense teacher: Dense pseudo-labels for semi- supervised object detection.

Robust and Label-Efficient Deep Waste Detection Dense teacher: Dense pseudo-labels for semi- supervised object detection

Reference 31

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

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Observation a242408d-0329-4aab-8553-bb4b8ba479ae · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 32

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Observation 39462946-1742-4790-bba8-92098a7db3d6 · outbound

This paper cites Recycling image classification.

Robust and Label-Efficient Deep Waste Detection Recycling image classification

Reference 33

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Observation b2e6a3c7-eaae-49f4-beda-c65472fc4722 · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 34

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Observation abc88485-d290-4a66-88fd-b943dae6679f · outbound

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Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 35

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Observation 23846e52-844c-4d1c-a6ed-039e7d8d0ebb · outbound

This paper cites Scaling open-vocabulary ob- ject detection.Advances in Neural Information Processing Systems, 36:72983–73007, 2023.

Robust and Label-Efficient Deep Waste Detection Scaling open-vocabulary ob- ject detection.Advances in Neural Information Processing Systems, 36:72983–73007, 2023

Reference 36

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raw_fallback, observed 2026-08-05T16:15:08.683700Z

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=2026-08-05T16:15:07.061064Z digest=sha256:f106861b1b8e2ceb88487d75d2bbde1889907f0fb733b63707e6092420135d63

Observation 1302e824-290a-48a2-b1bd-285e4977b782 · outbound

This paper cites Mittal, K.

Robust and Label-Efficient Deep Waste Detection Mittal, K

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.670268Z

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=2026-08-05T16:15:07.066246Z digest=sha256:b004853bfeac120c532d5fca498e32777e7218c7535ce7e5a4533ce5256d6276

Observation 9a46a8d8-cb2b-4ad8-b751-abfd87eb0712 · outbound

This paper cites Simple open-vocabulary object detection.

Robust and Label-Efficient Deep Waste Detection Simple open-vocabulary object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.697841Z

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=2026-08-05T16:15:07.056838Z digest=sha256:5ac3b388195b6950ab4e1ecbbf3b770a9478acac51ba93d264cab9a801fbbb57

Observation e2975811-e1ca-4030-93b9-316329685eec · outbound

This paper cites NMS Strikes Back.

Robust and Label-Efficient Deep Waste Detection NMS Strikes Back

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.074567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.074567Z digest=sha256:f998fa25bf2e38b25befb016e805d6282298bbad702535a96e08672bbba57da6

Observation 72e836b3-c0e8-478f-abe2-4940ff91d7de · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:15:08.642327Z

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=2026-08-05T16:15:07.079396Z digest=sha256:e8005585a226ab88f2528477c504c0d24ac9d94842de19db0a1199b9b20f8e98

Observation 6f406d3d-f5b9-4a0e-8659-5bb7a15093b9 · outbound

This paper cites Sustainable development goal 12: Responsible consumption and pro- duction.

Robust and Label-Efficient Deep Waste Detection Sustainable development goal 12: Responsible consumption and pro- duction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.656766Z

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=2026-08-05T16:15:07.070375Z digest=sha256:5c7fb08786a42285b3d8638d7f25506ee8424c8b8cbc61eec6f82fba4f4b0a86

Observation 75d4cb3a-5853-4d35-b815-2690e60abbd3 · outbound

This paper cites You only look once: Unified, real-time object detection, 2016.

Robust and Label-Efficient Deep Waste Detection You only look once: Unified, real-time object detection, 2016

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.613466Z

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=2026-08-05T16:15:07.093812Z digest=sha256:419bddc3a096952ff4cf4624e8a4da75fdfef5246994785594540ff55661c9fb

Observation 57e3d536-382a-438f-adfd-d46de7efdf1a · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Robust and Label-Efficient Deep Waste Detection Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.099419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.099419Z digest=sha256:6b06179c5aba78d7338f3f5bd35f46e2ceb56b6d87a2c2e9b3d3740f1a5a52ec

Observation d40f466d-db63-4822-a1bb-d289fc4677e2 · outbound

This paper cites Ai-powered robotics for recycling.Recycling News, 2022.

Robust and Label-Efficient Deep Waste Detection Ai-powered robotics for recycling.Recycling News, 2022

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.599931Z

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=2026-08-05T16:15:07.104631Z digest=sha256:564f0c6dfff2e0c6b15eaa4b66068bd9179307bf469307b62d2ab63caeed7075

Observation e317b283-e90d-4606-b947-93f7755b568f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Robust and Label-Efficient Deep Waste Detection Learning transferable visual models from natural language supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.627397Z

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=2026-08-05T16:15:07.089427Z digest=sha256:171844113593ae179fea50e5608227f72d9daed70450444972597f64865c4b8b

Observation ef6f14f4-ef86-43d7-8f9b-5bb04b21ac2c · outbound

This paper cites Serezhkin.

Robust and Label-Efficient Deep Waste Detection Serezhkin

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.569479Z

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=2026-08-05T16:15:07.114483Z digest=sha256:8931a62e8f92f2c29363785a156fbaf09f892c107df32c8e1e7d7365ceb8fa19

Observation d5bb9c18-de58-4ded-8267-e87f60f72e05 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.Proceedings of the IEEE/CVF International Conference on Com- puter Vision (ICCV), 2019.

Robust and Label-Efficient Deep Waste Detection Objects365: A large-scale, high-quality dataset for object detection.Proceedings of the IEEE/CVF International Conference on Com- puter Vision (ICCV), 2019

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.553792Z

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=2026-08-05T16:15:07.118921Z digest=sha256:baf85eff368dfa48df99cbdab6de2235c2a6dbf3def7d4a61706819f85101fc5

Observation c5e74b00-96d2-40d2-9ab8-9c1137a5888d · outbound

This paper cites A Simple Semi-Supervised Learning Framework for Object Detection.

Robust and Label-Efficient Deep Waste Detection A Simple Semi-Supervised Learning Framework for Object Detection

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.123968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.123968Z digest=sha256:1e523bc6ab8aa377dfeec9e34d7dece9f0f3677e76bdb2985c44cce672444929

Observation cd32bdd7-fcb2-4a65-9ac6-aa007b809f44 · outbound

This paper cites Automated waste sorting: object detection using convolutional neural networks.IOP Conference Series: Earth and Environmental Science, 337(1): 012048, 2019.

Robust and Label-Efficient Deep Waste Detection Automated waste sorting: object detection using convolutional neural networks.IOP Conference Series: Earth and Environmental Science, 337(1): 012048, 2019

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.585083Z

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=2026-08-05T16:15:07.109759Z digest=sha256:c9c1704490366828546ba713c7399bf1be237dac19af86f2b4ba901e6a5acba5

Observation 76c113df-2f10-44af-b5e5-1facf6864566 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:15:08.539311Z

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=2026-08-05T16:15:07.133099Z digest=sha256:223cbf6f868a4344fb1ddb4a2d4d9abce8af833586fda8aafb620e9ee9396415

Observation deeb698d-dddb-4e68-a982-0d159bcf3f0c · outbound

This paper cites Sun and H.

Robust and Label-Efficient Deep Waste Detection Sun and H

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.137357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.137357Z digest=sha256:c5189e0b8b9458a88bb2d7f78bb34c1cab4430ac0fb0b6824880ceb21aaa7e53

Observation 31568464-a470-4ca7-abcf-f05403f2fb2f · outbound

This paper cites Garbage classification algorithm based on improved mobilenetv3.IEEE Access, 2023.

Robust and Label-Efficient Deep Waste Detection Garbage classification algorithm based on improved mobilenetv3.IEEE Access, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.523916Z

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=2026-08-05T16:15:07.143063Z digest=sha256:54395ffeb7d3c03e96b2e828a1c1ad9f4e90f36e2a3e091c05ab6d6fddfb21e9

Observation b437f5e8-bd3f-4e13-af4c-a689190bcc4e · outbound

This paper cites Weighted boxes fusion: En- sembling boxes from different object detection models.Image and Vision Computing, 107:104117, March 2021.

Robust and Label-Efficient Deep Waste Detection Weighted boxes fusion: En- sembling boxes from different object detection models.Image and Vision Computing, 107:104117, March 2021

Reference 53

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T16:15:07.794604Z

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=2026-08-05T16:15:07.128734Z digest=sha256:2ee2df2c071578719502dbb06edcb30e67b644f644101c628fdaa22f7256f142

Observation 33e5039d-c7ab-4636-a775-c920921b8fcd · outbound

This paper cites Models supported by ultralytics yolo.https://docs.ultralytics .com/models/, 2025.

Robust and Label-Efficient Deep Waste Detection Models supported by ultralytics yolo.https://docs.ultralytics .com/models/, 2025

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.509685Z

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=2026-08-05T16:15:07.154757Z digest=sha256:0ecfe0733b0edf5e16bde6249dade16624ec5bcd9ca42638d8b6a616def5fca9

Observation ba12f73a-a5ff-479f-b60d-e56198081b6b · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 55

Resolution
malformed identifier
no resolver link, observed 2026-08-05T16:15:07.160418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.160418Z digest=sha256:cbf23729cc0231fe684e57b4037e792efcefc9f124075aa44d209ef2b40d4b0b

Observation d27623d4-2b30-46bf-9b97-565fa5b591f5 · outbound

This paper cites Waste-Robotics.https://wasterobotic.com/.

Robust and Label-Efficient Deep Waste Detection Waste-Robotics.https://wasterobotic.com/

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.494997Z

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=2026-08-05T16:15:07.165975Z digest=sha256:8ec16645730436c9de5e6f89ae1faf3fb4149bdd93c6ed4742f4cc32db8f68ec

Observation a3af3563-58bf-4d37-bd6a-b7b31b152959 · outbound

This paper cites triangle of death.

Robust and Label-Efficient Deep Waste Detection triangle of death

Reference 57

Resolution
verified exact
doi, observed 2026-08-05T16:15:07.295522Z

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=2026-08-05T16:15:07.148714Z digest=sha256:abdc1beea85b8e4a93b9d0292ec486f2ff8e0b50909bf3dbd5ff0ca8fdd92f6e

Observation 539fb9eb-c467-4b7b-9f5a-6bd35d3e9170 · outbound

This paper cites End-to-end semi-supervised object detection with soft teacher.

Robust and Label-Efficient Deep Waste Detection End-to-end semi-supervised object detection with soft teacher

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.480170Z

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=2026-08-05T16:15:07.177167Z digest=sha256:769e13837bc0daf0f23767f245f2fc4e2e680bd3b29071b7fcb206547448cb46

Observation b0a97f27-4ab4-47b4-9ae8-7951f85f0f47 · outbound

This paper cites Yang and G.

Robust and Label-Efficient Deep Waste Detection Yang and G

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.465173Z

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=2026-08-05T16:15:07.181607Z digest=sha256:f423758a0b950d223cacd00dd8513e1c1d0bf7eaaf2e590c627ce65420654551

Observation f1d61103-3806-442f-a9d4-7c5eb7544c69 · outbound

This paper cites Hierarchical waste detection with weakly supervised segmentation in images from recycling plants.Engineering Applications of Artificial Intelligence, 128: 107542, 2024.

Robust and Label-Efficient Deep Waste Detection Hierarchical waste detection with weakly supervised segmentation in images from recycling plants.Engineering Applications of Artificial Intelligence, 128: 107542, 2024

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.448519Z

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=2026-08-05T16:15:07.186449Z digest=sha256:75b335c13bf8d6eb83bf3a202d1fa677870e57f47f2e62ef4709c3b44d869370

Observation 9849e938-c64d-43fe-a057-b08f991c5d84 · outbound

This paper cites YOLO-MTG: A lightweight YOLO model for multi-target garbage detection.

Robust and Label-Efficient Deep Waste Detection YOLO-MTG: A lightweight YOLO model for multi-target garbage detection

Reference 61

Resolution
verified exact
doi, observed 2026-08-05T16:15:07.278760Z

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=2026-08-05T16:15:07.171279Z digest=sha256:700d5b270fb5437a8df6b1a1b3264febd826348f3a0afce2bce85c4242b713e3

Observation 5746d4e5-2bce-4fcc-b15a-afc95d96aceb · outbound

This paper cites Zen Robotics.https://zenrobotics.com/.

Robust and Label-Efficient Deep Waste Detection Zen Robotics.https://zenrobotics.com/

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.418560Z

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=2026-08-05T16:15:07.195902Z digest=sha256:094539827e2ab6f2c4dfaafacb4b7b6c14f432fd33e14a3ed92179309b0f0fdd

Observation 76a67ffd-fda4-4bb1-b2ba-7f9e9f082e9a · outbound

This paper cites DINO: DETR with improved denoising anchor boxes for end-to-end ob- ject detection.

Robust and Label-Efficient Deep Waste Detection DINO: DETR with improved denoising anchor boxes for end-to-end ob- ject detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.402643Z

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=2026-08-05T16:15:07.200434Z digest=sha256:2536e6e3cf8edb3c0c89e7504fbd29c9e81d281ef1a32fd616bb89262e40e057

Observation c240164e-8df1-4913-9dba-c35f6480c573 · outbound

This paper cites Detrs beat yolos on real-time object detection.

Robust and Label-Efficient Deep Waste Detection Detrs beat yolos on real-time object detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.371772Z

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=2026-08-05T16:15:07.210179Z digest=sha256:be99398a6e9d501aec4b1a317bb48bffbb7a40eedbb18ec085b795f640a9dad4

Observation 7f58ae80-ff47-4e3d-968c-6ef9f6f1d902 · outbound

This paper cites Open- vocabulary object detection using captions.

Robust and Label-Efficient Deep Waste Detection Open- vocabulary object detection using captions

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.433768Z

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=2026-08-05T16:15:07.191167Z digest=sha256:717d46bc587b593cf18c4156424ba22c357b07f69882813ca75711549a8ee880

Observation 8ab103eb-b674-47b7-b0db-2316b48fdd12 · outbound

This paper cites Instant-teaching: An end-to-end semi-supervised object detection framework.

Robust and Label-Efficient Deep Waste Detection Instant-teaching: An end-to-end semi-supervised object detection framework

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.356287Z

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=2026-08-05T16:15:07.219573Z digest=sha256:b78763f4fb21b633aeb6c732c628be2b863c7f92936725c1afb70e42445f4213

Observation 9e11174b-5d81-4023-9ac9-76364b5adb2c · outbound

This paper cites Detecting Twenty-thousand Classes using Image-level Supervision.

Robust and Label-Efficient Deep Waste Detection Detecting Twenty-thousand Classes using Image-level Supervision

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.223915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.223915Z digest=sha256:648f782f27a68ff8686be899ecfc275a2f833341ffef72f4bdbac09e4c00bc44

Observation abaac850-608c-4f86-bd50-132b0d402579 · outbound

This paper cites Construction waste object detec- tion based on improved yolov5 algorithm.Sensors, 23(4):1987, 2023.

Robust and Label-Efficient Deep Waste Detection Construction waste object detec- tion based on improved yolov5 algorithm.Sensors, 23(4):1987, 2023

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:15:08.339611Z

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=2026-08-05T16:15:07.229087Z digest=sha256:822c646c33ce2f49cdfa5ab2a083693002412b6f47dced985fb9e2bd9ab79550

Observation f1df7852-de5b-4ff8-9e85-385163ee0a15 · outbound

This paper cites rigid plastic container.

Robust and Label-Efficient Deep Waste Detection rigid plastic container

Reference 69

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T16:15:08.322382Z

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=2026-08-05T16:15:07.234614Z digest=sha256:e665fdc26b78b910557dce05931e0a516fb35ec17c1b72ea1c25437395e2bfac

Observation 5d842059-4fe6-4a39-9037-764ffb1f0913 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 70

Resolution
verified exact
raw_fallback, observed 2026-08-05T16:15:07.548853Z

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=2026-08-05T16:15:07.214899Z digest=sha256:aa6035880dc99c7be2e9eaec3b4b835a6d813269fefb82fbc5c4c018f86f819d

Observation bed4b9f2-7eb6-4041-a791-599287391a2a · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 2018

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T16:15:08.305968Z

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=2026-08-05T16:15:06.899128Z digest=sha256:00847daa0cf6d847f0f46672a7a4f8d22a3d05d60953a89c77295940e071f9b7

Observation f9658f0c-dd5d-4da4-9044-43a74dfb29f6 · outbound

This paper cites TACO: Trash Annotations in Context for Litter Detection.

Robust and Label-Efficient Deep Waste Detection TACO: Trash Annotations in Context for Litter Detection

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T16:15:07.084746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:07.084746Z digest=sha256:1eabef3b9faf5958ba31cec09d417ceb74081532e93bb0967068cfe90b5205b1

Observation fbe05834-e82a-4a0d-b40c-8c66c86d13e2 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:15:09.019729Z

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=2026-08-05T16:15:06.889879Z digest=sha256:91a88d388a849e60d534952c0fb8ab5eb052164818b820933438e178780f6a49

Observation 39fab39b-063d-49d7-ad51-f762ce29e8e7 · outbound

This paper cites an unresolved cited work.

Robust and Label-Efficient Deep Waste Detection Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:15:08.387412Z

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=2026-08-05T16:15:07.204984Z digest=sha256:8ac8652740cf3d4d867132e73507d890af09d8fcc73cefa59f9f95a1900b338a

Pith citing papers

No inbound Pith citation observations are available.