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Paper Citation Record · LEDGER

PUPS: Point Cloud Unified Panoptic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.06185.

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

pith.paper-citation-record.v1
2302.06185 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:34.902428Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:15:51.544576Z

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 e98bcf5e-f268-4dab-b429-093c90887a47 · inbound

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation cites this paper.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation PUPS: Point Cloud Unified Panoptic Segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:34.902428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:34.902428Z digest=sha256:c496a24e3dd0378a2b74e2244b51937f8092d6a35507e22e0378f9b704162080

Observation 8073c2f7-bb1c-4a33-b18d-8da9ea1acd8a · inbound

Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds cites this paper.

Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds PUPS: Point Cloud Unified Panoptic Segmentation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:15:51.549206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:15:51.377075Z digest=sha256:2081f58f23dcc60d4be157ec82a96b88a08ed62987d56afbbc3844e72efbae8a