Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty Quantification with Generative Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.10046.
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 2026-08-07T15:24:04.942371Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:45:39.876781Z
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 4cecec20-bb22-4bd6-8502-743ea7bec534 · inbound
Generative AI for Autonomous Driving: A Review cites this paper.
Generative AI for Autonomous Driving: A Review Uncertainty Quantification with Generative Models
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:24:04.942371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d8e1ecb-f769-49ce-b6cc-7bd1193cca6c · inbound
GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.
GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Uncertainty Quantification with Generative Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:57:08.200394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efe0edc0-6a75-40b8-b2ab-b2aaac2f54ff · inbound
Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification cites this paper.
Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Uncertainty Quantification with Generative Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:45:39.878263Z
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.