Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T08:43:55.706739Z
Paper Citation Record · LEDGER
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding
As of 24 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.23113.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d2ad93a6-c859-432f-8805-f80acad54341 · outbound
This paper cites Masked-attention mask transformer for universal image segmenta- tion,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Masked-attention mask transformer for universal image segmenta- tion,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e759ee6c-6a03-4c2f-8b4a-af71dab7e1ec · outbound
This paper cites DINOv3.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding DINOv3
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T10:39:44.644809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2225bbcc-51c8-4ef9-a7dc-cada16bdd382 · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T10:39:44.649840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 031c86a4-0a6a-4cb0-8afc-3c02fbd46b24 · outbound
This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Internimage: Exploring large-scale vision foundation models with deformable convolutions,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 448f36d6-8213-4168-8595-683f644bdf15 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb79375d-0e7a-456e-ad35-c6c2b0cc3377 · outbound
This paper cites A convnet for the 2020s,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding A convnet for the 2020s,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfcd86a0-e942-4629-a5c3-10ab43252384 · outbound
This paper cites Convnext v2: Co-designing and scaling convnets with masked au- toencoders,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Convnext v2: Co-designing and scaling convnets with masked au- toencoders,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9abc6dc7-0be6-4ff4-a871-cb37adbf4249 · outbound
This paper cites Modality adaptation via feature difference learning for depth human parsing,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Modality adaptation via feature difference learning for depth human parsing,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5110895-01b0-4123-ae05-d1c39a245abf · outbound
This paper cites Transferring clip’s knowledge into zero-shot point cloud semantic segmentation,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Transferring clip’s knowledge into zero-shot point cloud semantic segmentation,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ef035de-b45d-44be-b03d-de7a2d7e3978 · outbound
This paper cites Fully convolutional networks for semantic segmentation,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Fully convolutional networks for semantic segmentation,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a27c0bbb-1c95-47e2-a515-25098e2979de · outbound
This paper cites Ordnet: Capturing omni-range dependencies for scene parsing,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Ordnet: Capturing omni-range dependencies for scene parsing,
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ced355c5-ba32-470b-8dfd-05b4295dab26 · outbound
This paper cites Unified perceptual parsing for scene understanding,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Unified perceptual parsing for scene understanding,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58ba8274-b04e-4f90-ad7f-11b124097d04 · outbound
This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Segformer: Simple and efficient design for semantic segmentation with transformers,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee21f4f6-5482-43c5-a0c0-968ef70d82c7 · outbound
This paper cites Revisiting audio-visual segmentation with vision-centric transformer,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Revisiting audio-visual segmentation with vision-centric transformer,
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee2eb58b-49b6-4583-ba7e-72b0728b7bec · outbound
This paper cites Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:39:44.650158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d3d80342-9c42-40c9-95bf-8020bc646d35 · outbound
This paper cites Mmsegmentation: Openmmlab se- mantic segmentation toolbox and benchmark,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Mmsegmentation: Openmmlab se- mantic segmentation toolbox and benchmark,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f858133d-9ed3-4f57-863d-b03d740fe306 · outbound
This paper cites Multimodal autoregressive pre-training of large vision encoders,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Multimodal autoregressive pre-training of large vision encoders,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b164535-7236-4701-92fa-aaa9dd4265a7 · outbound
This paper cites Demystifying clip data,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Demystifying clip data,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf0ea1cc-c3bb-4f58-b499-653c4b1f19c3 · outbound
This paper cites Eva-02: A visual representation for neon genesis,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Eva-02: A visual representation for neon genesis,
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c0d03d0-9e72-4cf0-8387-f9aaea09ff74 · outbound
This paper cites Swin transformer v2: Scaling up capacity and resolution,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding Swin transformer v2: Scaling up capacity and resolution,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e54dbcd3-1a76-4799-8376-319b88fdb61a · outbound
This paper cites The goose dataset for perception in unstructured environments,.
Technical Report for the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Pretraining-Diverse Ensemble of Foundation Vision Encoders for Robust Outdoor Scene Understanding The goose dataset for perception in unstructured environments,
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-06-26T08:43:55.706739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.