Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PRADA: Protecting against DNN Model Stealing Attacks
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.02628.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T09:59:39.961782Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T03:26:29.826670Z
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 125fb25f-fd3f-429d-87e6-649f5d89a575 · inbound
Stateful Detection of Black-Box Adversarial Attacks cites this paper.
Stateful Detection of Black-Box Adversarial Attacks PRADA: Protecting against DNN Model Stealing Attacks
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T22:50:03.090897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3a0d8656-0df6-4f1c-aa7b-c9268e1455a0 · inbound
Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.
Benchmarking Misuse Mitigation Against Covert Adversaries PRADA: Protecting against DNN Model Stealing Attacks
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T10:32:14.712140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e10ec173-98a0-4b53-89a3-3654d642f2a3 · inbound
AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses cites this paper.
AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses PRADA: Protecting against DNN Model Stealing Attacks
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T03:26:29.828381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.