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Paper Citation Record · LEDGER

Learning to Generate Realistic LiDAR Point Clouds

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.03954.

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

pith.paper-citation-record.v1
2209.03954 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:12:26.431130Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.690547Z

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 d873b565-0aeb-42d6-b555-45e37db95f62 · inbound

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation cites this paper.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Learning to Generate Realistic LiDAR Point Clouds

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T11:12:26.431130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:12:26.431130Z digest=sha256:ebe56fe52a5884733063bd0a74709129799c331476fd4c575eac2cdceabdc18e

Observation cb4786ce-5b5c-410b-8d23-bb34b47406ce · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications Learning to Generate Realistic LiDAR Point Clouds

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.691955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:36:23.776293Z digest=sha256:d33ae0d2476f3bc4e554f10e832b31b2cc1c878ad1336a8de579dc6289c47f5e