Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Classification Accuracy Score for Conditional Generative Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1905.10887.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T16:19:07.559228Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T22:23:48.013248Z
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 bef0d659-e705-43c2-920c-45cde97ffae9 · inbound
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark cites this paper.
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Classification Accuracy Score for Conditional Generative Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:12:05.809185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b61239fe-3fb5-462a-b67b-393418f861bd · inbound
Improved Denoising Diffusion Probabilistic Models cites this paper.
Improved Denoising Diffusion Probabilistic Models Classification Accuracy Score for Conditional Generative Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T19:19:14.980290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24b824a8-373c-473b-bb3d-9f0bdc991535 · inbound
Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.
Concordia: Self-Improving Synthetic Tables for Federated LLMs Classification Accuracy Score for Conditional Generative Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:16:27.530011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cc95c3f0-75dd-44ae-a325-0dafc0ba7890 · inbound
Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.
Concordia: Self-Improving Synthetic Tables for Federated LLMs Classification Accuracy Score for Conditional Generative Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:23:48.016355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 459c54f7-354d-4741-b688-693eca2c5291 · inbound
SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift cites this paper.
SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift Classification Accuracy Score for Conditional Generative Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:19:07.559228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.