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Paper Citation Record · LEDGER

Emerging Security Challenges of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.17614.

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

pith.paper-citation-record.v1
2412.17614 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:03.449834Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:40:32.299759Z

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 4b6a04d7-0ff7-43f8-9b06-3d0a76b46036 · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey Emerging Security Challenges of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:03.449834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:03.449834Z digest=sha256:14f209c0b996fb96b61a1c45151efa90e808cddb186e08605c3a0ebb9c6880a5

Observation 1c72dfc9-a4ff-4f58-8f74-e4b4b70d49f7 · inbound

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It cites this paper.

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It Emerging Security Challenges of Large Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:40:32.429547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:40:16.669749Z digest=sha256:73332c50dac0ce8b2654e1faaeb497523fa80d590f15982d8b6894b0b93d3c79