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Paper Citation Record · LEDGER

Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.02396.

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

pith.paper-citation-record.v1
2404.02396 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:31:59.886000Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 121fdc10-94b4-493d-8d0e-05b145444921 · inbound

Incorporating Inductive Biases to Energy-based Generative Models cites this paper.

Incorporating Inductive Biases to Energy-based Generative Models Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint

Reference 2006

Resolution
unresolved
no resolver link, observed 2026-08-16T04:31:59.886000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:31:59.886000Z digest=sha256:e73ebd13521443a5e218e162a31ebe7208d3fffdaa7699985d25dd17f2cb4dcf

Observation feacee99-de69-4434-9e41-d695ca445222 · inbound

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding cites this paper.

A New Paradigm for 3D Turbomachinery Design: Generative Diffusion Model Based Framework with Direct Geometry Encoding Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-30T11:26:41.111930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-30T11:23:47.724511Z digest=sha256:37c84afaa0a900da6dafec3155c1c58fb2a9de299544d906bc50964e9eaa2812