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Paper Citation Record · LEDGER

Exploring Vulnerabilities and Protections in Large Language Models: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00240.

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

pith.paper-citation-record.v1
2406.00240 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:40:18.909862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.151827Z

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 c2a56021-0dee-4987-b74e-94a43e5d686a · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Exploring Vulnerabilities and Protections in Large Language Models: A Survey

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.154774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:fe8b923831d7a8cc2ed3aafefcfa30f4d546203c09e4ca52227d605d7860bd15

Observation 2b30b9ad-49f6-420e-9d19-c4dd844e61ab · inbound

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs cites this paper.

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs Exploring Vulnerabilities and Protections in Large Language Models: A Survey

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T23:40:18.909862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:40:18.909862Z digest=sha256:b1ec9bc56945644f4a6c29d4cf6db89bf68d491061c7fa532f26c03e455ac9ba

Observation 2b0c7702-ed59-4dc6-85aa-41f05fed7972 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Exploring Vulnerabilities and Protections in Large Language Models: A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:26.621846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:26.621846Z digest=sha256:bca4b42aa0819489de8bced75ff7730b744f8e9561dd165c03234cf2d24e53bc