Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00866.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:56:39.332098Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:34.200608Z
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 83c1d89b-3bb1-4cfc-ac20-f16c94044042 · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:34.203936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f736c54b-f341-460a-a66a-506de3fc2c39 · inbound
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models cites this paper.
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T18:33:37.923153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8070cd40-f0a1-474c-a9a2-ea16b569b4a9 · inbound
Universal Concept Disruption for SAM3 Image Segmentation cites this paper.
Universal Concept Disruption for SAM3 Image Segmentation Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:56:39.332098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.