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Paper Citation Record · LEDGER

Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05038.

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

pith.paper-citation-record.v1
2406.05038 v1

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 2026-08-09T16:13:36.775053Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-09T16:13:36.775053Z digest=sha256:211831cc6f20fd48fb9ef241236d2ff01a63d78fcfbcc408fe289bc13469995c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T05:09:06.254532Z digest=sha256:32085c7139f57fd213c0b0590e35dc8b6009ed957b2df9397c99ab12b0f027b0