Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intriguing properties of generative classifiers
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.16779.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:52:07.490679Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 a40b7695-9883-420e-bea1-31ce17c58315 · inbound
Leveraging Prior Knowledge of Diffusion Model for Person Search cites this paper.
Leveraging Prior Knowledge of Diffusion Model for Person Search Intriguing properties of generative classifiers
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:52:07.490679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c43937b5-7a78-4597-b0e1-4504fcfabb77 · inbound
Revisiting Autoregressive Models for Generative Image Classification cites this paper.
Revisiting Autoregressive Models for Generative Image Classification Intriguing properties of generative classifiers
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T22:10:29.821610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0591156f-052a-4ef8-ba15-9b74ec50aef1 · inbound
Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures cites this paper.
Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures Intriguing properties of generative classifiers
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:58:30.406039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.