Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.13802.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:32.112182Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T19:22:50.737531Z
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 1ebb0e38-5623-49d7-97d8-e7584dece332 · inbound
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising cites this paper.
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:57:32.112182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c986b3e-6c20-4542-9a46-0df83cda5847 · inbound
Deep Learning For Point Cloud Denoising: A Survey cites this paper.
Deep Learning For Point Cloud Denoising: A Survey TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:44:35.931754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85dbac24-db4a-4f1a-bfcb-d21e62601755 · inbound
OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation cites this paper.
OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:22:50.740812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.