Paper Citation Record · LEDGER

Generating Attacks for LLMs with GFlowNets

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.10171.

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

pith.paper-citation-record.v1
2608.10171 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:14:42.335905Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy10
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9f008bf-754d-4d69-93e2-901452fc5423 · outbound

This paper cites expanded.

Generating Attacks for LLMs with GFlowNets expanded

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:43.080275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3cb37e51-b21a-4969-8f2f-d3533f8df5b9 · outbound

This paper cites successful.

Generating Attacks for LLMs with GFlowNets successful

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.994488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 215acd97-9dcc-43b6-8555-d1983068e8fa · outbound

This paper cites It numerically indicates how closely the attacker model approaches the target model’s vulnerability threshold.

Generating Attacks for LLMs with GFlowNets It numerically indicates how closely the attacker model approaches the target model’s vulnerability threshold

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.976257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf37eb44-773d-4388-ae27-42674b9a9629 · outbound

This paper cites The average of the pairwise cosine similarities between these input vectors was then computed.

Generating Attacks for LLMs with GFlowNets The average of the pairwise cosine similarities between these input vectors was then computed

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.940888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16074e01-c34c-46a8-b3a0-eb23df6bd01a · outbound

This paper cites Red Teaming Language Models with Language Models.

Generating Attacks for LLMs with GFlowNets Red Teaming Language Models with Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.161232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 978b9e47-b04c-4e88-ab8c-31e093f8c079 · outbound

This paper cites Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack.

Generating Attacks for LLMs with GFlowNets Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.117529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e9e5ed-beeb-443f-a163-6c8dfdf13a45 · outbound

This paper cites garak: A Framework for Security Probing Large Language Models.

Generating Attacks for LLMs with GFlowNets garak: A Framework for Security Probing Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.128783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b282cf0-8258-47dd-86bc-ef486ea8df2b · outbound

This paper cites GPT-4 Technical Report.

Generating Attacks for LLMs with GFlowNets GPT-4 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.146772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9a8741-b370-47ae-8a9a-58ef71367ba5 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Generating Attacks for LLMs with GFlowNets Constitutional AI: Harmlessness from AI Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.153344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec82b03-004c-4800-bdb4-f6739d25ccbd · outbound

This paper cites Learning diverse attacks on large language models for robust red-teaming and safety tuning,.

Generating Attacks for LLMs with GFlowNets Learning diverse attacks on large language models for robust red-teaming and safety tuning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.853114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites Query-Efficient Black-Box Red Teaming via Bayesian Optimization.

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.

Observation 1c269d13-b23f-41e3-bdad-6dc597674b33 · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Generating Attacks for LLMs with GFlowNets Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.173329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e3f1c3-bea0-475e-a067-1a4625e255d2 · outbound

This paper cites Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming.

Generating Attacks for LLMs with GFlowNets Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.185091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a79e47-269e-4b1d-81cd-ac8729bc1f5e · outbound

This paper cites Curiosity-driven red-teaming for large language models,.

Generating Attacks for LLMs with GFlowNets Curiosity-driven red-teaming for large language models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.892081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 983422ee-c685-4272-b407-4a3474f574d2 · outbound

This paper cites Gemma 3 Technical Report.

Generating Attacks for LLMs with GFlowNets Gemma 3 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.294745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba40c3b4-5933-4c4b-9d26-acdc89c5db15 · outbound

This paper cites The results obtained are shown in Figure 2.

Generating Attacks for LLMs with GFlowNets The results obtained are shown in Figure 2

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.919851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fee17510-a3b5-4a19-91c2-47004f163e43 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Generating Attacks for LLMs with GFlowNets Training language models to follow instructions with human feedback,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.759591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4747bb28-1ba9-418c-bb2c-abbe21ca9b1b · outbound

This paper cites Flow network based generative models for non-iterative diverse candidate generation,.

Generating Attacks for LLMs with GFlowNets Flow network based generative models for non-iterative diverse candidate generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.701740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 930724b8-bc11-4a46-8648-e519aab6093c · outbound

This paper cites Deep reinforcement learning from human preferences,.

Generating Attacks for LLMs with GFlowNets Deep reinforcement learning from human preferences,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:14:42.680276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 203822ad-14c2-4a98-9c3f-f5224c8ccd23 · outbound

This paper cites Qwen3 Technical Report.

Generating Attacks for LLMs with GFlowNets Qwen3 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.280159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1078c8-7ec9-49a0-8f1c-4dfb88780491 · outbound

This paper cites Qwen3Guard Technical Report.

Generating Attacks for LLMs with GFlowNets Qwen3Guard Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.318709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9989010-205d-4ece-86c2-81f979912a98 · outbound

This paper cites The Llama 3 Herd of Models.

Generating Attacks for LLMs with GFlowNets The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T04:14:42.335905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.