Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.05038.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:36:19.812607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:09:44.605124Z
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 ba58d81e-e823-49d6-888a-9aeb852f7ceb · inbound
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation cites this paper.
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:19.812607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b8dd71-ae0f-402e-a89a-d8802077a29e · inbound
Efficient Diffusion Models: A Survey cites this paper.
Efficient Diffusion Models: A Survey Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:13:36.775053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bac23b11-e782-41f5-aaec-990be9930117 · inbound
VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting cites this paper.
VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation Nowcasting Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:09:44.608626Z
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.