Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.12903.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:48.145267Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5f1e14f7-a77a-4e3e-af38-d40ce50294c2 · inbound
Ownership Verification of DNN Models Using White-Box Adversarial Attacks with Specified Probability Manipulation cites this paper.
Ownership Verification of DNN Models Using White-Box Adversarial Attacks with Specified Probability Manipulation IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:48.145267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e13126fa-e1f9-424c-b833-021bfe3b4ff1 · inbound
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:46:52.591232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d5187d00-1009-47c0-8223-dbaa96bc2dac · inbound
Landseer: Exploring the Machine Learning Defense Landscape cites this paper.
Landseer: Exploring the Machine Learning Defense Landscape IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:33:45.391704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.