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Paper Citation Record · LEDGER

Query-Efficient Black-Box Red Teaming via Bayesian Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:14:42.167235Z

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.

source=pdf_text observed=2026-08-07T10:55:20.011756Z digest=sha256:efb2978b6a4df56f552ebf017d1ce75e12ff80c81334252a512bf344ca6cd7bc

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.

source=pdf_text observed=2026-08-07T05:47:06.339321Z digest=sha256:03e3868489a8b0fc7ccb6d532d23383bd7ceea9d3fa81de7940c0fda9cef2149

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.

source=pdf_text observed=2026-08-05T20:31:42.328780Z digest=sha256:ff82dc4328e03a115e36746de5714f0a4d670efe167ebd752306e313e989c686

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-07T16:09:27.944432Z digest=sha256:1ada5eac8f89d9f420b5679b035abb8baa90480f9931037e703ff2dc4354a52a

Observation 876a6e06-1a26-4baa-9489-a474ffcde87e · inbound

Generating Attacks for LLMs with GFlowNets cites this paper.

Generating Attacks for LLMs with GFlowNets Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T04:14:42.167235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:14:42.167235Z digest=sha256:0efecbc51c4ce20b09c247b49a82afce8799b1cad78b5cdaed9e5de3c3c500f2