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Paper Citation Record · LEDGER

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.07186.

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

pith.paper-citation-record.v1
2203.07186 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:07.374861Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:15:51.564402Z

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 31d48762-d147-40a9-9641-775ea774f7d6 · inbound

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies cites this paper.

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:57:03.548247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:57:03.548247Z digest=sha256:282c79879c34b57d4681a92638aaa0ed906881c2fbd1149b03940e29248e45ec

Observation 42870e53-4091-4256-9bfb-8e1f3cb6fbb6 · inbound

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM cites this paper.

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T22:58:07.374861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:07.374861Z digest=sha256:a77fc388022f3b2aa4a74b54a93ab981e131857fa868a10e7b328bfc53d241db

Observation be7de531-8b4f-4d80-bbec-d2a59b5ca3a0 · inbound

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation cites this paper.

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T13:52:44.425034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:52:44.425034Z digest=sha256:7cf7b144f0450b4bb8ecaed6c3bfc8fdef112d2fdf04530e654b8b19e88e2c8c

Observation 180db817-9fd5-4f50-8a5b-2da889f885e4 · 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 LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:15:51.570098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:15:50.211218Z digest=sha256:d4f340a21940f324fc5b6e57f996f6a7524b55742be76f4e94253adf49536024