Paper Citation Record · LEDGER

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.15937.

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

pith.paper-citation-record.v1
2606.15937 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:29:04.409304Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact2
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27a03c4b-bbaa-4d58-bf4b-d0d741d2d664 · outbound

This paper cites Masked- attention mask transformer for universal image segmentation,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Masked- attention mask transformer for universal image segmentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d14c5c-2618-4d31-9326-7b2a77db1c9b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6859ab8d-0430-4c39-b121-350f1c7a08e1 · outbound

This paper cites End-to-end object detection with transformers,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain End-to-end object detection with transformers,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99eb2f0-d70a-40b0-aaec-898847a9858f · outbound

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

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Deformable DETR: Deformable transformers for end-to-end object detection,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d053672-2a46-444c-b021-7d0879257317 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:58:47.480851Z

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 7a6adb12-0c13-4aab-8d84-875787db0de9 · outbound

This paper cites CBAM: Convolutional block attention module,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain CBAM: Convolutional block attention module,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863bb49e-221a-4a54-85ad-34e1fc1ebd1c · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Fully convolutional networks for semantic segmentation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9db498-a8db-4482-8be6-1fe81427c73d · outbound

This paper cites SegFormer: Simple and efficient design for semantic segmentation with transformers,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain SegFormer: Simple and efficient design for semantic segmentation with transformers,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98f47bd7-59be-4d00-a99c-6139e1f540cb · outbound

This paper cites The Cityscapes dataset for semantic urban scene understanding,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain The Cityscapes dataset for semantic urban scene understanding,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95adf80b-45af-418a-840d-e51b96e18283 · outbound

This paper cites Scene parsing through ADE20K dataset,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Scene parsing through ADE20K dataset,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345c7a11-078f-4233-a1ee-ae54c72187fa · outbound

This paper cites Distribution-balanced loss for multi-label classification in long-tailed datasets,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Distribution-balanced loss for multi-label classification in long-tailed datasets,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb41f930-9e60-4034-9ffd-b40c59e6525d · outbound

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

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain LVIS: A dataset for large vocabulary instance segmentation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30baa369-79f1-4e9e-b710-ca48bc1798c5 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Simple copy-paste is a strong data augmentation method for instance segmentation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e332d126-c43a-4947-b9e9-d7df58587030 · outbound

This paper cites Decoupled weight decay regularization,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Decoupled weight decay regularization,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1455a575-19cd-42a0-90ea-98d3ae846490 · outbound

This paper cites The GOOSE dataset for perception in unstructured environments,.

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain The GOOSE dataset for perception in unstructured environments,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T03:29:04.409304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bee5128-e268-44db-84b2-a0282dba96f5 · outbound

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

GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain Excavating in the wild: The goose-ex dataset for semantic segmentation,

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:47.483531Z

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.

Pith citing papers

No inbound Pith citation observations are available.