Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation
As of 13 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.06948.
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 2026-08-13T06:32:02.005865+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
9 of 9 outbound references displayed
- verified exact3
- verified fuzzy2
- unresolved1
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1edc6db2-fcc0-4d47-9dd4-c3370e45f718 · outbound
This paper cites an unresolved cited work.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T22:36:36.225097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 351ac8b6-cf5e-4025-a647-1d5549190064 · outbound
This paper cites Data Scale Dataset Size Source Purpose - ShapeNet-55 57,448 objects Chang et al.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Data Scale Dataset Size Source Purpose - ShapeNet-55 57,448 objects Chang et al
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T22:36:36.220961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5391ba03-f957-43b6-a737-11006c2c38bc · outbound
This paper cites Buttresses were modelled as triangular plates with V = 1 2 𝐿 ∙ 𝑊 ∙ 𝐻 from the recorded length, width, and height.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Buttresses were modelled as triangular plates with V = 1 2 𝐿 ∙ 𝑊 ∙ 𝐻 from the recorded length, width, and height
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T22:36:36.223168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3053c4f1-134c-4cef-9fe4-11d6984c69c7 · outbound
This paper cites an unresolved cited work.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Unresolved cited work
Reference 4
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-09T22:36:36.218819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fedef77d-2843-4d72-bcbb-e11d509fa485 · outbound
This paper cites an unresolved cited work.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Unresolved cited work
Reference 5
- Resolution
- verified exact
- doi, observed 2026-07-09T22:36:35.866717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8df91a74-114c-4e46-8a3f-580f77da798b · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation ShapeNet: An Information-Rich 3D Model Repository
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:36:35.877544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 325c6c11-80a5-490c-84b2-0217b5d0a274 · outbound
This paper cites URL https://doi.org/10.1080/ 17538947.2023.2278895.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation URL https://doi.org/10.1080/ 17538947.2023.2278895
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T22:36:35.873259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 20d27f95-33ba-4993-b2b6-a966de054e03 · outbound
This paper cites an unresolved cited work.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation Unresolved cited work
Reference 8
- Resolution
- verified exact
- doi, observed 2026-07-09T22:36:35.868959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 57c86b37-ac81-48f5-9490-81842dea073d · outbound
This paper cites https://doi.org/10.1109/TGRS.2022.3218603 Van den Broeck, W.
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation https://doi.org/10.1109/TGRS.2022.3218603 Van den Broeck, W
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T22:36:35.875113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.