Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.09164.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:49:43.172105Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:56:28.653882Z
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 85b03608-9b39-44db-a34c-aa8640cc6806 · inbound
Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population cites this paper.
Calibrating the Instrument: Controllability of an LLM-Driven Synthetic Population Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:56:28.657172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 984c5c43-103c-4a78-bc86-e72fdb09af77 · inbound
A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population cites this paper.
A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:49:43.172105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.