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Paper Citation Record · LEDGER

Disentangled 3D Scene Generation with Layout Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.16936.

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

pith.paper-citation-record.v1
2402.16936 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:46.607165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:19:56.337322Z

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 af570988-17ae-4dc3-8ca7-045c11a1dfdc · inbound

CAT3D: Create Anything in 3D with Multi-View Diffusion Models cites this paper.

CAT3D: Create Anything in 3D with Multi-View Diffusion Models Disentangled 3D Scene Generation with Layout Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:29:51.128732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T21:29:51.062396Z digest=sha256:88105de1bdce9ee08a56a9a989bc63d5282756279b448f6d38be8001fd71681d

Observation 9a32de57-59a3-4c31-8f44-9f7c9fe1ca85 · inbound

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion cites this paper.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Disentangled 3D Scene Generation with Layout Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.607165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.607165Z digest=sha256:13e5caf0ad2462e8be1ea69547015750f57196565d979c8e41e52bd9d31fe4a6

Observation d4d23b0e-ff5c-4ecd-8eba-2997edfc0767 · inbound

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds cites this paper.

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds Disentangled 3D Scene Generation with Layout Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:09:26.240368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:09:26.240368Z digest=sha256:27ff2b92901e081243fb143b7be6c033b9e3f8d01c1709243e1fd8de7a324954

Observation 61b0a3a6-9b35-4b02-9b84-0ca4a2ffb985 · inbound

HOG-Layout: Hierarchical 3D Scene Generation, Optimization and Editing via Vision-Language Models cites this paper.

HOG-Layout: Hierarchical 3D Scene Generation, Optimization and Editing via Vision-Language Models Disentangled 3D Scene Generation with Layout Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:05.581324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:15:05.413504Z digest=sha256:7a00d1b87ff22347cc552b716b46027a0db5879264fc92bd9b0d0ea9da8c67c0

Observation 11083168-1b80-4d7a-887d-07028b18cb34 · inbound

Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image cites this paper.

Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image Disentangled 3D Scene Generation with Layout Learning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:19:56.339229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:44:30.505560Z digest=sha256:219c02776721bc5ad527010713d26002c0cac6a3fd247711ceba7f16add53d5f