Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.08803.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:44.065746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:31:01.092601Z
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 d12f446e-6c97-4192-adc2-204a1ced061a · inbound
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis cites this paper.
SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:44.065746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fb4107f-cf0c-4bc3-b020-6a281999e315 · inbound
BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training cites this paper.
BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:31:01.102097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1c15bd44-2f90-48f9-8295-5a39043ccb18 · inbound
Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.
Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
Reference 96
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T02:30:54.362790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.