Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.13321.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:12:36.532173Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T16:58:41.198048Z
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 40670c1c-329b-4802-9b1f-d11379400cad · inbound
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:12:36.532173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4457e9af-7ef7-4b42-b2d7-d82a589a2e43 · inbound
LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks cites this paper.
LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T16:58:41.200533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.