Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.11796.
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 2026-08-04T19:43:59.346325Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:37:37.268017Z
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 23cc0bc8-b105-491e-8761-5e589404d8b0 · inbound
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning cites this paper.
Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:43:59.346325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8410538-4492-4576-99b9-cbb630b10456 · inbound
Quality Degradation Attack in Synthetic Data cites this paper.
Quality Degradation Attack in Synthetic Data Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:10:38.529698Z
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.
Observation 032ac974-357b-4e98-9e26-06665296b39e · inbound
If It's Good Enough for You, It's Good Enough for Me: Transferability of Audio Sufficiencies across Models cites this paper.
If It's Good Enough for You, It's Good Enough for Me: Transferability of Audio Sufficiencies across Models Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T18:58:08.972692Z
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.
Observation 1900e504-7a6a-4091-b822-18175ca185ab · inbound
Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction cites this paper.
Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:37:37.269550Z
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.
Observation b908ed42-d923-40e7-a8d3-cd7895079cb1 · inbound
Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures cites this paper.
Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T22:00:06.085598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.