Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.13450.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:00:07.035269Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:18:54.647721Z
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 1ef16e62-7052-4ce4-9220-e401925f8880 · inbound
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization cites this paper.
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T06:04:10.913043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b8d5e4a-cd91-4190-b435-1a2cbef273cc · inbound
DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation cites this paper.
DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:18:54.736185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51ad63c8-9189-42b1-a74a-fd42e7076c89 · inbound
SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis cites this paper.
SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:00:07.035269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.