Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.05599.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:07:25.186334Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T17:10:24.895434Z
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 c853da98-0f1a-4364-b8fe-df3bc71d3fb0 · inbound
Dynamic Reinforcement Learning for Actors cites this paper.
Dynamic Reinforcement Learning for Actors Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:07:25.186334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34090394-2d46-4382-9781-f7854a53334a · inbound
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T17:53:11.548844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a649f594-00f2-4a61-b0a2-683f23aed08a · inbound
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:10:24.898372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6b832404-ed6b-4c00-b7e2-b0a848726d40 · inbound
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:00:24.244059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09044338-d523-4e3e-9e74-8ca0dbb6ef01 · inbound
Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability cites this paper.
Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability Active Divergence with Generative Deep Learning -- A Survey and Taxonomy
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:49:05.916299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.