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Paper Citation Record · LEDGER

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.16783.

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

pith.paper-citation-record.v1
2409.16783 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:16.802912Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:00:44.932791Z

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 6bd88959-2a42-4211-9da3-316e90d52851 · inbound

LLM Agents Should Employ Security Principles cites this paper.

LLM Agents Should Employ Security Principles Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:16.802912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:16.802912Z digest=sha256:0e508d704e6bcc65b070eca2826af67a512318e51f406de500609e042e2d0cd9

Observation 1fb7f78e-f23a-4fdc-9762-b54507dbda32 · inbound

Adversarial Preference Learning for Robust LLM Alignment cites this paper.

Adversarial Preference Learning for Robust LLM Alignment Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:23.486266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:23.486266Z digest=sha256:55aa413a42025e846b11dcaa8a269b3bd761231cdd75ff6e475480c0b30d9eb6

Observation 17cbc16c-eeed-46ef-bfc2-f2a6fe5e7a4d · inbound

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs cites this paper.

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:00:44.938423Z

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=arxiv_source observed=2026-08-06T23:00:44.839335Z digest=sha256:e81b91a394ff34e9a16651d9b64966e702e7c9199a1ceeb69e67128ecec06a46