Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Examples on Segmentation Models Can be Easy to Transfer
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.11368.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:01:26.947135Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T14:51:10.070247Z
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 72a71ebe-0441-43b4-8008-ad8add7dc3a5 · inbound
A Generative Victim Model for Segmentation cites this paper.
A Generative Victim Model for Segmentation Adversarial Examples on Segmentation Models Can be Easy to Transfer
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:01:26.947135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f5a878d-8f57-427b-9003-9e37e311ce98 · inbound
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation cites this paper.
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Adversarial Examples on Segmentation Models Can be Easy to Transfer
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T14:51:10.074335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 02f252b0-c42d-4f59-b89e-5fdd0d1037b8 · inbound
IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks cites this paper.
IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks Adversarial Examples on Segmentation Models Can be Easy to Transfer
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:33:56.840526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.