Paper Citation Record · LEDGER

Query-Efficient Black-Box Red Teaming via Bayesian Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.17444.

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

pith.paper-citation-record.v1
2305.17444 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:55:20.011756Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0c503a99-6875-4ae6-9011-00c5c4b72415 · inbound

RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming cites this paper.

RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:20.011756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed031ec8-5f5e-4a6c-ae71-2b8dc591856c · inbound

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models cites this paper.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.339321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdf52f4-855e-4da7-b519-afef192658e4 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:42.328780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4512e358-1054-43f6-830a-71799982e1c6 · inbound

Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation cites this paper.

Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-09T02:04:35.329506Z

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.