Paper Citation Record · LEDGER

TACO: Trash Annotations in Context for Litter Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2003.06975.

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

pith.paper-citation-record.v1
2003.06975 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:18:43.249933Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T15:58:37.365140Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb8e7805-4351-4ee6-b80e-112859706764 · inbound

Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting cites this paper.

Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting TACO: Trash Annotations in Context for Litter Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T15:18:43.249933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db9946b-ea74-41c0-ad1c-6a7262d9fee1 · inbound

A Roadmap for Climate-Relevant Robotics Research cites this paper.

A Roadmap for Climate-Relevant Robotics Research TACO: Trash Annotations in Context for Litter Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:56.649851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Robust and Label-Efficient Deep Waste Detection cites this paper.

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.

Observation 6fca63fd-18a4-47e5-865c-6908ec54cb8c · inbound

WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting cites this paper.

WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting TACO: Trash Annotations in Context for Litter Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:21.195060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c69c99-10f2-45cf-983a-bec268ba38f1 · inbound

YOLO-SAT: A Data-based and Model-based Enhanced YOLOv12 Model for Desert Waste Detection and Classification cites this paper.

YOLO-SAT: A Data-based and Model-based Enhanced YOLOv12 Model for Desert Waste Detection and Classification TACO: Trash Annotations in Context for Litter Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:51:48.948366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99af21e8-fbec-415a-855c-33d773e7d680 · inbound

SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation cites this paper.

SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation TACO: Trash Annotations in Context for Litter Detection

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.545567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bbf15354-b3f1-4495-87d7-ed01421ef685 · inbound

Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background cites this paper.

Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background TACO: Trash Annotations in Context for Litter Detection

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:31.427672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8949b8d7-227c-468f-9adb-cba76ded6682 · inbound

Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting cites this paper.

Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting TACO: Trash Annotations in Context for Litter Detection

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:58:37.366812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30a4c9f0-8367-4bac-b34a-a050642c592d · inbound

Synthetic and Derived Training Images for Campus Waste Detection: A Multi-Seed Evaluation with YOLOv8n cites this paper.

Synthetic and Derived Training Images for Campus Waste Detection: A Multi-Seed Evaluation with YOLOv8n TACO: Trash Annotations in Context for Litter Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T12:30:53.707042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.