Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:36.083734Z
Paper Citation Record · LEDGER
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2506.17621.
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 2026-05-13T06:56:46.429371Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:57:27.299408Z
Reference resolution
7 of 7 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6e79a6f1-f120-466c-9633-755a14cc24b8 · outbound
This paper cites an unresolved cited work.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:35:36.978866Z
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 0af7e3b7-2496-4178-a183-7e6eca644d03 · outbound
This paper cites an unresolved cited work.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:35:36.871342Z
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 f90e1b7e-cd89-4bfe-aaff-18869827b35d · outbound
This paper cites an unresolved cited work.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:35:36.735001Z
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 b921deab-9e33-477a-86a7-b14acaab9d4b · outbound
This paper cites Efficiency Robustness of Dynamic Deep Learning Systems.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Efficiency Robustness of Dynamic Deep Learning Systems
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:35:36.355087Z
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 ee98d712-1642-42af-addf-98e2655e604e · outbound
This paper cites A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:36.065493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd0ac1a8-a3ae-4344-8d90-f8780b56be2e · outbound
This paper cites an unresolved cited work.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:35:36.589557Z
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 b65cb674-f83a-458f-979c-2c1673189894 · outbound
This paper cites an unresolved cited work.
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T23:35:36.459611Z
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.
Pith citing papers
Observation 349ed095-cfd8-4f4d-b1d4-ef2ae59a8b51 · inbound
AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines cites this paper.
AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:27.302644Z
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.