Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.09256.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:45:50.766475Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T01:45:51.302126Z
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 c373c3d5-ee79-4520-bc3d-346ff8ac6988 · inbound
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving cites this paper.
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:45:50.766475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ec259fb-2e29-4627-a2b3-cf083953ea54 · inbound
LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs cites this paper.
LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:33:55.690677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ccd7718-ca88-4915-a3af-0f1372768cf5 · inbound
GEM: Generating LiDAR World Model via Deformable Mamba cites this paper.
GEM: Generating LiDAR World Model via Deformable Mamba LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:45:51.304428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.