Paper Citation Record · LEDGER

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.00257.

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

pith.paper-citation-record.v1
2608.00257 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:56:20.897656Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c891a143-ce4a-466e-b1b9-0e92e6c92856 · outbound

This paper cites Exploring big data applications in sustainable urban infrastructure: A review,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Exploring big data applications in sustainable urban infrastructure: A review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:19.823427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cce67a-78d9-4b99-b56f-d054f116a024 · outbound

This paper cites Augmenting urban planning with computer vision: A review of the state-of-the-art,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Augmenting urban planning with computer vision: A review of the state-of-the-art,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:19.891346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9f1ebd-1424-46d9-8af4-b36b7f583e74 · outbound

This paper cites Municipal waste statistics,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Municipal waste statistics,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:19.966057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92464ee2-2f54-4bf5-86a3-7706489c7d9b · outbound

This paper cites Municipal solid waste management and its impact: a review,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Municipal solid waste management and its impact: a review,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.007033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad064b3-063e-4a06-a215-a62e543f04e1 · outbound

This paper cites Performance analysis of yolo, faster r-cnn, and detr for automated personal protective equipment detection,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Performance analysis of yolo, faster r-cnn, and detr for automated personal protective equipment detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.017251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93ee921-ff8d-4a2f-8a7d-9a8c29a22bd7 · outbound

This paper cites Garbage vulnerable point monitoring using iot and computer vision,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Garbage vulnerable point monitoring using iot and computer vision,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.069640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedef13d-3c93-4f9b-9f85-07556973610a · outbound

This paper cites Soda: A dataset for small object detection in uav captured imagery,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Soda: A dataset for small object detection in uav captured imagery,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.123194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae90f27b-7926-42be-83aa-053669701576 · outbound

This paper cites Litter detection from aerial imagery: A review of uav-based approaches and deep learning techniques,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Litter detection from aerial imagery: A review of uav-based approaches and deep learning techniques,

Reference 8

Resolution: verified exact; doi, observed 2026-08-04T00:58:30.683923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66eac6fa-4a2e-4b69-bc08-8ca69fa2829c · outbound

This paper cites A dataset for detection and segmentation of underwater marine debris in shallow waters,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments A dataset for detection and segmentation of underwater marine debris in shallow waters,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.210617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42dfd64-5513-45a2-8f8c-6ba72aff4a1a · outbound

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

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments TACO: Trash Annotations in Context for Litter Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.241334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d18909-c3ca-41d7-a6b1-e17e165428ff · outbound

This paper cites A multi-level approach to waste object segmentation,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments A multi-level approach to waste object segmentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.297207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a4f28a-c794-4bfb-bd51-ff8ae05d3317 · outbound

This paper cites Classification of trash for recyclability status,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Classification of trash for recyclability status,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.331748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28e6016-f60a-4f1f-a462-eaa7accacab5 · outbound

This paper cites Bottle detection in the wild using low-altitude unmanned aerial vehicles,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Bottle detection in the wild using low-altitude unmanned aerial vehicles,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.373409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e8cf86-a07e-4af9-bff4-8a5e3621e3d1 · outbound

This paper cites Gigo, garbage in, garbage out: An urban garbage classification dataset,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Gigo, garbage in, garbage out: An urban garbage classification dataset,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.400692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2e1481-bb4d-4e10-a318-7ff0343fd33f · outbound

This paper cites Intelligent computer vision applications for automated urban infrastructure monitoring,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Intelligent computer vision applications for automated urban infrastructure monitoring,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.437413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3959fc-16ae-4c94-afc7-949f4b0dda11 · outbound

This paper cites Towards general urban monitoring with vision-language models: A review, evaluation, and a research agenda,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Towards general urban monitoring with vision-language models: A review, evaluation, and a research agenda,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.444169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6b7d71f-191b-45f6-b3eb-c48ad1ecd95c · outbound

This paper cites A multimodal vision: Language framework for intelligent detection and semantic interpretation of urban waste,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments A multimodal vision: Language framework for intelligent detection and semantic interpretation of urban waste,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.475982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4575021c-c16f-4079-8df2-75ab23df6017 · outbound

This paper cites Harnessing deep learning for sustainable waste classification: An innovative approach using mobilenetv2 on a diverse bag dataset,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Harnessing deep learning for sustainable waste classification: An innovative approach using mobilenetv2 on a diverse bag dataset,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.495378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4c6843-f434-4e80-adf5-212b16e0e161 · outbound

This paper cites Enhancing waste management with automated garbage bag classification with resnet50v2,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Enhancing waste management with automated garbage bag classification with resnet50v2,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.531368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9810d0-98fa-49de-a38a-d9833f45ba2c · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments YOLOv11: An Overview of the Key Architectural Enhancements

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.569460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87b196e-fd77-48bc-b744-451fa0f72781 · outbound

This paper cites Yolov12: Attention-centric real-time object detectors,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Yolov12: Attention-centric real-time object detectors,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.603816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74eca31-d7e3-4bbf-b22b-a58770453202 · outbound

This paper cites Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.672559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e42ed1c1-5bce-4657-b364-e6dd02362ce3 · outbound

This paper cites Rf- detr: Neural architecture search for real-time detection transformers,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Rf- detr: Neural architecture search for real-time detection transformers,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.710886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c578f06e-dc7a-42ee-a3a2-74759e1899a7 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments SAM 3: Segment Anything with Concepts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.787370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2965e8fb-c494-4e6f-bd82-18c47301d636 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.844695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8def8ca-8055-4f9e-84ff-7cf63b28f07c · outbound

This paper cites Ranking regions of visual saliency in rgb-d content,.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Ranking regions of visual saliency in rgb-d content,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.897656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe1a5d0-a96a-4949-9a60-b06a714c6b6d · outbound

This paper cites Available: https://arxiv.org/abs/2511.09554.

MDWD: A Street-Level Dataset for Municipal Solid Waste Detection in Dense Urban Environments Available: https://arxiv.org/abs/2511.09554

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-04T00:56:20.739525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.