Pith. sign in

Paper Citation Record · LEDGER

Diffusion Probabilistic Models for 3D Point Cloud Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2103.01458.

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

pith.paper-citation-record.v1
2103.01458 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:41.812494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T15:32:06.808959Z

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 241d89a0-3354-4253-8ef5-4c63e5af6abc · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:32:06.811222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T15:32:06.563955Z digest=sha256:acca0a8ec63c2c685014de5f7583624ac7b3fefc0fe41487d4eebde2c97c03c6

Observation cf7691ce-9839-4bad-ab82-ca10bdd92521 · inbound

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements cites this paper.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:07.736099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:54:07.736099Z digest=sha256:08b0663f7684920544075839496105c3180fa8ccabb26c0b8043e7126d87c078

Observation f62c9d04-2257-4f2c-977a-d02c4f00253f · inbound

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes cites this paper.

Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-10T21:17:56.787787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:17:56.787787Z digest=sha256:2dc789532b37721e4616185e7030b13733a3c48b3a43a0211ec1ed050fed6036

Observation d40eec48-35ba-4b86-812b-d8d68427872f · inbound

Diffusion Based Robust LiDAR Place Recognition cites this paper.

Diffusion Based Robust LiDAR Place Recognition Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T12:38:41.812494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:38:41.812494Z digest=sha256:bbdc8fd55ccf4c68ec681ca01b051cb8a2a6e6531accf972b9e0479b27683cde

Observation c6e1d28e-b8cf-4268-8f1e-ec029eec7031 · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:24.843030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:24.843030Z digest=sha256:65bd1d5f039d08c5a2feb1b5fd695831cb28c49e583927f01f260ef9b231b888