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Paper Citation Record · LEDGER

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.00970.

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

pith.paper-citation-record.v1
2301.00970 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:04.857164Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:03:54.134952Z

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 9cfe3055-92f3-4b07-99b2-56c6fde51f68 · inbound

Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions cites this paper.

Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:04.857164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:04.857164Z digest=sha256:8a8ec2119835fffe76ff624ef16b76c2b21724a16e870f5d81eb9cf27acd3429

Observation d76da2d0-2ee3-49bc-996f-1cc394eb333e · inbound

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving cites this paper.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:03:54.141268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:03:54.047518Z digest=sha256:718a8eee2812022a93cc4cfe46f80cdd1cd445282a6f36c3e61bc65c460ad272