Pith. sign in

Paper Citation Record · LEDGER

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.12786.

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

pith.paper-citation-record.v1
2405.12786 v3

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:06:35.441037Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 4fffbd05-87d3-47ad-bb1a-dee3e540f011 · inbound

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks cites this paper.

Decision-Level Hijacking: Injecting Cognitive Bias into Large Language Models via Bit-Flip Attacks Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T03:06:35.441037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:06:35.441037Z digest=sha256:bfba6adad3978248b37ff02149ea5474b90e6c6eacc89c087472406f200a689e

Observation 79afdd6c-477e-4a2e-aa28-0085e2dbe57b · inbound

Lilith: Backdoor Generalization under Training-Inference Trigger Shift cites this paper.

Lilith: Backdoor Generalization under Training-Inference Trigger Shift Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T02:49:21.056515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:49:21.056515Z digest=sha256:8f284e02b7ea597bd7ee4b19a9b67683e43fc3d2dbf60f81e275ba1c45fe6272