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Paper Citation Record · LEDGER

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.01279.

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

pith.paper-citation-record.v1
2309.01279 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:02:56.307409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:21.380024Z

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 51cf4638-17a4-401e-8cb8-67ef1d457ce8 · inbound

SelvaBox: A high-resolution dataset for tropical tree crown detection cites this paper.

SelvaBox: A high-resolution dataset for tropical tree crown detection FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:47:07.124660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T06:46:30.488456Z digest=sha256:4168b09664022457cde2b18377ebd2c10376f426f9b844b6a07a165fff961811

Observation 41cc7c65-2632-4331-9824-639c6377ce52 · inbound

Scaling Up Forest Vision with Synthetic Data cites this paper.

Scaling Up Forest Vision with Synthetic Data FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T17:02:56.307409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:02:56.307409Z digest=sha256:6e2b66c73dd50a4f63188bc5033cd40ecdc0fde7ea462c001a850e18855f75d2

Observation 249535ea-f64d-46c1-97b8-9c66955af208 · inbound

Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification cites this paper.

Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T23:21:21.284965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:21:21.284965Z digest=sha256:9f9a1ecbc282072f42c73802a679ba50f800ce5722dd286d4a9c01a02796ec09

Observation 0a888961-7a10-47ca-bb3b-2d4b15d1443c · inbound

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests cites this paper.

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:55:28.468147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T13:55:11.406067Z digest=sha256:44281b5c856bd3aa8b3348ad4065fb2333acef7d3ecab3aa2ef237dc0585790c

Observation 1cc91c9f-606f-4541-a0ae-485893b40039 · inbound

Viking Hill Dataset: A Lidar-Radar-Camera Dataset for Detection and Segmentation in Forest Scenes cites this paper.

Viking Hill Dataset: A Lidar-Radar-Camera Dataset for Detection and Segmentation in Forest Scenes FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:59:21.382793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T20:43:57.064084Z digest=sha256:ca32cb4d5378bdfbac64ea9300a5548ab22a8131bff7e9cd0daf060fb1ed78d9