Paper Citation Record · LEDGER

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.18582.

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

pith.paper-citation-record.v1
2606.18582 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:20:36.257961Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

12 of 12 outbound references displayed

verified exact2
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02800e12-db31-4785-b268-87b5b3a3f8b4 · outbound

This paper cites The GOOSE Dataset for Perception in Unstructured Environments,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics The GOOSE Dataset for Perception in Unstructured Environments,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f620330-4335-4fdd-8b87-29f0398d8dbb · outbound

This paper cites Excavating in the wild: The goose-ex dataset for semantic segmentation,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Excavating in the wild: The goose-ex dataset for semantic segmentation,

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.225610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa5c9116-6b80-4934-a19f-31fb22311f3d · outbound

This paper cites DINOv3.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics DINOv3

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:19:13.225843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b96a63c-c556-4ecc-93a6-0a1d12e4ad9c · outbound

This paper cites Masked-Attention Mask Transformer for Universal Image Segmen- tation,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Masked-Attention Mask Transformer for Universal Image Segmen- tation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a25ae8-81bc-48f3-a704-cbd4dc5e1673 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d283a4-097f-4cac-9a4f-e710d21f93de · outbound

This paper cites Scene Parsing through ADE20K Dataset,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Scene Parsing through ADE20K Dataset,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b123ea8-8e65-4063-8bc1-63dad6fcf834 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Vision Transformer Adapter for Dense Predictions,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca55c15a-5187-455d-991c-674df6b60b32 · outbound

This paper cites Deformable DETR: Deformable transformers for end-to-end object detection,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Deformable DETR: Deformable transformers for end-to-end object detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433e6fbd-5c90-49e1-8610-d4b85ad9d923 · outbound

This paper cites V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics V-Net: Fully Convolutional Neural Networks for V olumetric Medical Image Segmentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81357bc-0a02-40b8-9d3f-d06fb99da883 · outbound

This paper cites Decoupled Weight Decay Regular- ization,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics Decoupled Weight Decay Regular- ization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62dd3e19-010e-417f-9daf-8e2662bba8dc · outbound

This paper cites DeepLab: Semantic image segmentation with deep convo- lutional nets, atrous convolution, and fully connected CRFs,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics DeepLab: Semantic image segmentation with deep convo- lutional nets, atrous convolution, and fully connected CRFs,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf5066c-f419-47e6-922d-0b23040857e5 · outbound

This paper cites A ConvNet for the 2020s,.

Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics A ConvNet for the 2020s,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T21:20:36.257961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.