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Paper Citation Record · LEDGER

Unveiling Safety Vulnerabilities of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.04124.

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

pith.paper-citation-record.v1
2311.04124 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:53:00.087055Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:26:48.795593Z

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 f5341333-0a93-4b6e-8922-8e479e1d2ef9 · inbound

Developing a Risk Identification Framework for Foundation Model Uses cites this paper.

Developing a Risk Identification Framework for Foundation Model Uses Unveiling Safety Vulnerabilities of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:53:00.087055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:53:00.087055Z digest=sha256:2bf83b8ae82204009e59e28d1cb1e675cb1dfbd3e13dafce66034940c5ac313b

Observation 7ceccfad-f25e-486e-adc7-2455580e1072 · inbound

Effective Red-Teaming of Policy-Adherent Agents cites this paper.

Effective Red-Teaming of Policy-Adherent Agents Unveiling Safety Vulnerabilities of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:00.161709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:50:00.161709Z digest=sha256:29c634b5738a173101dd8e06a6ab7012c3cfd74e628cea27487a80d55a4110c5

Observation 310532ee-2c97-4b8b-af17-a07f09c7015f · inbound

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis cites this paper.

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis Unveiling Safety Vulnerabilities of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:28:56.310852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:28:56.310852Z digest=sha256:754dc2622e91176b87856484e4e56cfc6230dba90ee5288829d06689c5db344e

Observation 371efc05-5f9f-4be3-81ba-7574d8eae6a2 · inbound

SATORI: Static Test Oracle Generation for REST APIs cites this paper.

SATORI: Static Test Oracle Generation for REST APIs Unveiling Safety Vulnerabilities of Large Language Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:26:48.800273Z

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=2026-08-05T17:26:48.628515Z digest=sha256:f313510ff06e407d3d31057e23dbd8bbe9ac0ce344664f3dab459d802e646e4c