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Paper Citation Record · LEDGER

MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.12073.

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

pith.paper-citation-record.v1
2206.12073 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 2026-08-11T11:55:22.891643Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:11:08.126560Z

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 c812db06-f70b-4c24-88c1-553fda4282b7 · inbound

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation cites this paper.

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T11:55:22.891643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:55:22.891643Z digest=sha256:0fc5f8bec57c00e39c10b0cde564a38ee73eab5e6480ef47c2ded048166cf5c9

Observation feb238d8-0401-4aa1-8a89-773edd8c8528 · 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 MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:32.853914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:32.853914Z digest=sha256:4137f798bea555e170db41fa55ef67f7c08cd35c001a7d037dc9a4a2ce18a6b4

Observation 71e21244-a1be-4eec-b7f8-9955778ff987 · inbound

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning cites this paper.

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:06.846528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:06.846528Z digest=sha256:a48d31f5ec48570736832884cdba5134637c5bd14f29a23700a6c23f407b7aef

Observation 0b7d866e-270e-474e-9bd8-7c212779bbeb · inbound

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation cites this paper.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T21:44:07.670502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:44:07.670502Z digest=sha256:1f7e503997bed78c19ef7a759cf696cd9a5b2456725e324abd1a77cd5f65e1d3

Observation 460fed77-54c8-4d99-ae6a-e9658c0a7ad6 · inbound

PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving cites this paper.

PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:08.205818Z

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=2026-05-10T02:13:24.767617Z digest=sha256:2e91caccd4e85a6ba1b2c1ab93b775fffe8fe0ffd3bb56ec79082bb709903cf7