Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.10127.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:33:24.076417Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T17:26:21.970615Z
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 f02442d6-525c-4502-b46e-6d78e22b22aa · inbound
Numerical Study of Oblique Detonation Initiation Assisted by Local Energy Deposition cites this paper.
Numerical Study of Oblique Detonation Initiation Assisted by Local Energy Deposition PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:32:39.914202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2276d7c8-5825-4683-b471-4da4732d8072 · inbound
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation cites this paper.
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:33:24.076417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69913206-272b-4d87-b911-1956fc763c9a · inbound
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images cites this paper.
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:26:21.974134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.