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Paper Citation Record · LEDGER

DublinCity: Annotated LiDAR Point Cloud and its Applications

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.03613.

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

pith.paper-citation-record.v1
1909.03613 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:22:17.604417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:54:20.937127Z

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 760b1851-58d9-450a-8b2d-997dfd5443a7 · inbound

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment cites this paper.

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T21:22:17.604417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:22:17.604417Z digest=sha256:6803c0084926b80d43be1cd26835e601e8432c6ba4c1b88104376d577742d30a

Observation 10395ffa-fa41-4b4b-ab01-491893b3c250 · inbound

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios cites this paper.

CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarios DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T21:06:14.369573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:06:14.369573Z digest=sha256:3173718bbcca9e514e6eb3d295fa51e0192360f6f27764724df6f1a7ffb229e4

Observation de9f94ca-217f-4580-9f3a-e8f828571d1e · inbound

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis cites this paper.

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:51:17.697819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T21:49:35.263131Z digest=sha256:c3c39b35309faa5b818799b92ccf0774bf11f4d350adc2e83aa1beb4777ed4fe

Observation 9f5f975d-6fa9-4e5f-88ce-ed66bbd0a7b2 · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:54:20.938907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:46:21.941055Z digest=sha256:9d7b43d4c4bde85d9b4bf7ffcd6592bf352deb01b351939dc9aee6d3ebb39593

Observation d514a44a-872c-4af7-8201-849d7491e117 · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World DublinCity: Annotated LiDAR Point Cloud and its Applications

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T09:41:04.159838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:41:04.159838Z digest=sha256:8240c333eb2c19bbe111a3d1cb791f29e048242ac2cd4aceb7ed4dc958131896