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Paper Citation Record · LEDGER

3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.11445.

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

pith.paper-citation-record.v1
2301.11445 v3

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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:45.072084Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.726008Z

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 452b7438-6628-4756-8698-84aad6b4f5e6 · inbound

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation cites this paper.

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:18:06.431428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T10:18:06.232980Z digest=sha256:977bb0ab1f3961883a7bd1746cac2ebd796b2fb4af96b7ddf04aea59aeb53e1b

Observation 351e7e6e-29a3-45c3-a8b7-59381a9f2955 · 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 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T21:17:56.763435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:17:56.763435Z digest=sha256:fa33f88ab8e6d3729b8404495532cfc6f3193b88c0295b73946b78d43dba67e0

Observation eea81d25-f465-4d1c-a6c5-960b7dd74e18 · inbound

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation cites this paper.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:45.072084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:45.072084Z digest=sha256:6b03d573d04fd02e03fdc9d8e0ce31ea3a3680d0d4b7d7a8ce95209b36a21207

Observation dd8521cb-b53c-446c-aba4-d7d5ff9f420a · inbound

Efficient Part-level 3D Object Generation via Dual Volume Packing cites this paper.

Efficient Part-level 3D Object Generation via Dual Volume Packing 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T04:40:19.581102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:40:19.581102Z digest=sha256:79ed84e93b4d41ffb34326187c9cb28ce46eef710dc0a51dcf6d92fbd43eea93

Observation 28480047-db64-49ed-9059-a309db319b00 · inbound

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment cites this paper.

Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:09.727582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T22:17:37.135761Z digest=sha256:cda6ccaed2472698367e13e43bc5f73d289938e9a0aa14a7f4b12f29ffbce9c6