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Paper Citation Record · LEDGER

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.01952.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.01952 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:19.954644Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T06:32:27.438778Z

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 1b001968-0fd9-4685-b9f9-222e0f62c27f · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:19.954644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:39:19.954644Z digest=sha256:c28e169964667169da26df5ef824548a3df5c7fde65682414919ef588780a907

Observation d1263514-38f9-4def-b6f3-2fbdb9d52d02 · inbound

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron cites this paper.

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:32:27.440720Z

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.

source=pdf_text observed=2026-05-16T06:31:04.036790Z digest=sha256:9a771e04a3d28fadcc211b1ed4197cdef5c2c672f1c4edb8a7e3449c7de85f52