Paper Citation Record · LEDGER

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.00842.

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

pith.paper-citation-record.v1
2212.00842 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:10.128678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:40:46.422149Z

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 15eb8edf-7035-4869-8f47-df8059eb6db8 · inbound

GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space cites this paper.

GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T10:25:22.736237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55115178-a383-4345-919c-e068772eda8e · inbound

Towards Learning to Complete Anything in Lidar cites this paper.

Towards Learning to Complete Anything in Lidar 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.128678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ed2705-84bd-4f86-b2cd-0a895da071e0 · inbound

From Air to Wear: Personalized 3D Digital Fashion with AR/VR Immersive 3D Sketching cites this paper.

From Air to Wear: Personalized 3D Digital Fashion with AR/VR Immersive 3D Sketching 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:35.212698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74de90c7-eaa9-44a1-afaf-f727564d6787 · inbound

Collaborative Multi-Modal Coding for High-Quality 3D Generation cites this paper.

Collaborative Multi-Modal Coding for High-Quality 3D Generation 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T18:07:12.814590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df28d3b-47b1-4abc-ad42-9e4ff854c19c · inbound

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework cites this paper.

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T11:40:25.617621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3394c61-6c26-436d-9a5f-af44a945227b · inbound

Learn2Fold: Structured Origami Generation with World Model Planning cites this paper.

Learn2Fold: Structured Origami Generation with World Model Planning 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:40:46.424006Z

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.