Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Threat Model-Agnostic Adversarial Defense using Diffusion Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.08089.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:48:57.459111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:19:53.736092Z
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 578b60d3-52e2-4774-9de7-25b2820b3bf6 · inbound
VideoPure: Diffusion-based Adversarial Purification for Video Recognition cites this paper.
VideoPure: Diffusion-based Adversarial Purification for Video Recognition Threat Model-Agnostic Adversarial Defense using Diffusion Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:48:57.459111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc49bd2e-6d62-4d79-88cc-6d574c31f887 · inbound
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations cites this paper.
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Threat Model-Agnostic Adversarial Defense using Diffusion Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:01:18.274624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2b0a5463-f67d-49a8-8d45-1859ff3aaf5d · inbound
DanceDuo: Bridging Human Movement and AI Choreography cites this paper.
DanceDuo: Bridging Human Movement and AI Choreography Threat Model-Agnostic Adversarial Defense using Diffusion Models
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T14:19:53.737892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.