Paper Citation Record · LEDGER

VERA: Variational Inference Framework for Jailbreaking Large Language Models

As of 24 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2506.22666.

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

pith.paper-citation-record.v1
2506.22666 v3

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:07:05.950247Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:02:38.279815Z

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

51 of 51 outbound references displayed

verified exact0
verified fuzzy16
unresolved34
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

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

Outbound references

Observation 676e7084-78ed-4584-a381-53603cdc4122 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Detecting Language Model Attacks with Perplexity

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.078798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6bd6401-67b4-43a5-abdd-e01326bad9b3 · outbound

This paper cites EBGCG: Effective white-box jailbreak attack against large language model.

VERA: Variational Inference Framework for Jailbreaking Large Language Models EBGCG: Effective white-box jailbreak attack against large language model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:09.183393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c61c9f2-af87-4c16-8047-064c919c0a9c · outbound

This paper cites Defending against alignment-breaking attacks via robustly aligned LLM.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Defending against alignment-breaking attacks via robustly aligned LLM

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.212683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 977d1c23-e786-4c0c-84e0-d98c291d8918 · outbound

This paper cites Pappas, and Eric Wong.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Pappas, and Eric Wong

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.299573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d484145-67b1-4bd1-b864-0859030bb037 · outbound

This paper cites When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search.

VERA: Variational Inference Framework for Jailbreaking Large Language Models When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.370312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caad69f5-a76e-4469-a3b6-353167723adf · outbound

This paper cites When LLM meets DRL: Advancing jailbreaking efficiency via DRL-guided search.

VERA: Variational Inference Framework for Jailbreaking Large Language Models When LLM meets DRL: Advancing jailbreaking efficiency via DRL-guided search

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.997640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 98a71be8-0944-4049-92ef-4250b9fb730f · outbound

This paper cites RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs.

VERA: Variational Inference Framework for Jailbreaking Large Language Models RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.583100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d2f61be-29ca-48ab-b415-e44f3cb04c83 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gonzalez, Ion Stoica, and Eric P

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.843374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf79e1f4-7f72-48be-b330-b8639ade7976 · outbound

This paper cites Gradient-based ad- versarial attacks against text transformers.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gradient-based ad- versarial attacks against text transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.689727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d96cd72-a7d0-43b6-a1d7-c47a8e75fc9f · outbound

This paper cites Gradient-based Adversarial Attacks against Text Transformers.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gradient-based Adversarial Attacks against Text Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:02.869101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200da9ed-4310-45f5-abf8-fb969f913bd7 · outbound

This paper cites Cold-attack: Jailbreaking llms with stealthiness and controllability, 2024.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Cold-attack: Jailbreaking llms with stealthiness and controllability, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.485513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a9675dc-d2f9-473d-be36-b20a782f84a2 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.109822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47456cfa-c3cc-4b83-a3f7-3921fdbc22c4 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.267607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e0255f-be9e-4d96-8fbc-2cb987a76be0 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.471458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4fb46f3-1669-4f5f-91d5-94099fa07580 · outbound

This paper cites Improved techniques for optimization-based jailbreaking on large language models,.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Improved techniques for optimization-based jailbreaking on large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.322062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd629e92-463b-4d93-bd3f-e286209cb7df · outbound

This paper cites Open Sesame! Universal Black Box Jailbreaking of Large Language Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.747430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57730b1f-8ed8-4967-8021-eb8db081b744 · outbound

This paper cites Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.831536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6eff8a6-30ba-4341-9ce7-7aeea4b8911d · outbound

This paper cites AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.

VERA: Variational Inference Framework for Jailbreaking Large Language Models AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.921548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15316cbc-44b2-454f-9daf-1d072f2ee5c1 · outbound

This paper cites Autodan: Generating stealthy jailbreak prompts on aligned large language models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Autodan: Generating stealthy jailbreak prompts on aligned large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:08.139900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50a045eb-dbfe-41dc-83b5-e4bbf0419167 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

VERA: Variational Inference Framework for Jailbreaking Large Language Models HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.103976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19c0e2d-0404-4601-8558-7be78d8b2d22 · outbound

This paper cites Tree of attacks: Jailbreaking black-box llms automatically, 2024.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Tree of attacks: Jailbreaking black-box llms automatically, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.194194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f687af6-eeb1-4dad-a268-d6ede408ced9 · outbound

This paper cites Orca 2: Teaching Small Language Models How to Reason.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Orca 2: Teaching Small Language Models How to Reason

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.286535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b4c652-4003-4c0f-be54-06cf1d4bcbc2 · outbound

This paper cites GPT-4 Technical Report.

VERA: Variational Inference Framework for Jailbreaking Large Language Models GPT-4 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.351388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ff1a9c-0f26-414b-8c7f-7ce26110fed1 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.439286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7df08d-fec2-49b5-a126-9b4891c0bc74 · outbound

This paper cites Red Teaming Language Models with Language Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Red Teaming Language Models with Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.509519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68eb7ea0-2c22-4638-a633-ff53fc11e035 · outbound

This paper cites Jailbreaking llms: A comprehensive guide (with examples).

VERA: Variational Inference Framework for Jailbreaking Large Language Models Jailbreaking llms: A comprehensive guide (with examples)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.996623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e27eb23-6477-46ff-af2a-cdc75330faf5 · outbound

This paper cites an unresolved cited work.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:07:07.841740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5942f2a1-cda5-4fab-8a27-6ec6c3c2b392 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.720473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3674c9-b893-4b93-be7e-0cea63676176 · outbound

This paper cites do anything now.

VERA: Variational Inference Framework for Jailbreaking Large Language Models do anything now

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.695282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7df06ede-3ae4-478e-9406-02e3da061c3c · outbound

This paper cites do anything now.

VERA: Variational Inference Framework for Jailbreaking Large Language Models do anything now

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.822496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b02e57-c5a9-4b9f-b230-3e8358415cc2 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

VERA: Variational Inference Framework for Jailbreaking Large Language Models AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.892028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae23309d-a854-43b7-afda-d061c12a5f1d · outbound

This paper cites A strongreject for empty jailbreaks.Advances in Neural Information Processing Systems, 37:125416–125440, 2024.

VERA: Variational Inference Framework for Jailbreaking Large Language Models A strongreject for empty jailbreaks.Advances in Neural Information Processing Systems, 37:125416–125440, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:04.940673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e208020b-6299-4be2-a713-8930e44d8839 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.052978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b604d8-ab7f-4006-919d-6abddfe65d3f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.118079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21fefe7-81e8-44ce-ab97-11c9a52e5cd9 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Zephyr: Direct Distillation of LM Alignment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.167574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe778975-189e-476a-bb14-fed6caf8342c · outbound

This paper cites Universal adversarial triggers for attacking and analyzing NLP.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Universal adversarial triggers for attacking and analyzing NLP

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.558998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29f60ec0-f4e9-486d-9abe-6d832cf5d7bb · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.264755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cd779b-630e-43bb-aa27-cbac0ed6e276 · outbound

This paper cites Reinforcement learning- driven LLM agent for automated attacks on LLMs.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Reinforcement learning- driven LLM agent for automated attacks on LLMs

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.419763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 788aa16d-065c-4a0e-9193-11e7aae4a8a2 · outbound

This paper cites Jailbroken: How does llm safety training fail?Advances in Neural Information Processing Systems, 36:80079–80110, 2023.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Jailbroken: How does llm safety training fail?Advances in Neural Information Processing Systems, 36:80079–80110, 2023

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.371039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a38ec1-340c-4d62-bd76-bf3c5de0213f · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.443644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db21f901-be51-41b8-b760-72b6f19d1d7d · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8:229–256, 1992

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.494499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6830ba36-aa7d-4970-a9d7-10822267d26f · outbound

This paper cites Baichuan 2: Open large-scale language models,.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Baichuan 2: Open large-scale language models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.242249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5e79d73-da34-4400-b676-f25852bc0d5b · outbound

This paper cites Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts, 2023.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts, 2023

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.677247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1adb8fc8-39c2-41c6-bcb8-a25e1522d6aa · outbound

This paper cites Gpt-4 is too smart to be safe: Stealthy chat with llms via cipher, 2024.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gpt-4 is too smart to be safe: Stealthy chat with llms via cipher, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:07.113302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf38eaad-b6f2-4ddb-be19-b202d410b575 · outbound

This paper cites How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms.

VERA: Variational Inference Framework for Jailbreaking Large Language Models How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:06.919789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5207b50a-a26a-413a-b9c8-ed83191af9b2 · outbound

This paper cites Autodan: Interpretable gradient-based adversarial attacks on large language models, 2023.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Autodan: Interpretable gradient-based adversarial attacks on large language models, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:06.786861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d807e754-646a-4d45-9d6d-e0c3d733368e · outbound

This paper cites Zico Kolter, and Matt Fredrikson.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Zico Kolter, and Matt Fredrikson

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.822304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f04c24-2b6c-468c-ba56-035d1cfbed16 · outbound

This paper cites A hacker once used a method to.

VERA: Variational Inference Framework for Jailbreaking Large Language Models A hacker once used a method to

Reference 50

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T22:07:06.612843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10319a60-86fe-404e-b161-f702a74d964a · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:07:06.442490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6126766f-69e0-4b9e-9aca-6659cfef3d70 · outbound

This paper cites Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Improved Techniques for Optimization-Based Jailbreaking on Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:03.636792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59caa545-1aaa-4f7b-89f4-9fc1b72a9df0 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.617785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 81994794-73d5-4737-902b-fadf39160117 · inbound

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models cites this paper.

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models VERA: Variational Inference Framework for Jailbreaking Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T09:02:38.279815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39620d19-2d53-4108-889e-d787eab65447 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations VERA: Variational Inference Framework for Jailbreaking Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:03:32.460855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.