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Paper Citation Record · LEDGER

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2505.17598.

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

pith.paper-citation-record.v1
2505.17598 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:19.918679Z

measured 53 of 53 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:21:57.373862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:16:34.678418Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9be110d1-22af-492c-9931-f8253c1d3990 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:15.617814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:15.617814Z digest=sha256:a08fc5607a469414224e2609ac7ed91a91d54f2630da8e38942040bcfd7a0fc2

Observation e1a85fe0-6a60-411b-86a9-285e8ad8e8df · outbound

This paper cites Safety-tuned LL a MA s: Lessons from improving the safety of large language models that follow instructions.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Safety-tuned LL a MA s: Lessons from improving the safety of large language models that follow instructions

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.788715Z

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.

source=arxiv_source observed=2026-08-07T14:48:15.699936Z digest=sha256:71ef53e15b03a5740cf3c33bba1432a9892405c10b7ad9a99dba857b90e0ef8d

Observation f15deae1-c7e5-4e8b-abe8-1c4010af6d98 · outbound

This paper cites Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024

Reference 3

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no resolver link, observed 2026-08-07T14:48:15.759195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:15.759195Z digest=sha256:f527ef063726bce7f16c1c29e9aad593699a1874913f5ab15903ef739e97b992

Observation e91f13cf-5392-4bdb-b221-f3273a0e1237 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:48:15.829373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:15.829373Z digest=sha256:77632a504b56b984a8f71d7fbe1e1de6895924f92792dafaf9f9b1598f8bbdb2

Observation 5826d2a9-04e2-4dee-8cdc-cea0af0cf480 · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:48:15.972755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:15.972755Z digest=sha256:876342e8425c02c46176a9865caa93b2ab897c350c005f266ca83d04c4ace19a

Observation b5458565-1d25-4f62-82d3-52d3ca8d7aff · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.623182Z

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.

source=arxiv_source observed=2026-08-07T14:48:16.019150Z digest=sha256:73369a2d71afacdf42bce11cc6952694aa822751869888be82b85a9c8478b88a

Observation 3f756724-bf09-463c-9e32-b9ffd3f91a58 · outbound

This paper cites Selection-inference: Exploiting large language models for interpretable logical reasoning.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Selection-inference: Exploiting large language models for interpretable logical reasoning

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.494668Z

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.

source=arxiv_source observed=2026-08-07T14:48:16.058162Z digest=sha256:073f7e29a1ce74b89f7b0d479ffa8c5c36631293ad4086c7ae634316d5c07fb6

Observation 38d415ed-b90a-4dce-8725-81d90569c186 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Qlora: Efficient finetuning of quantized llms

Reference 8

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no resolver link, observed 2026-08-07T14:48:16.173397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.173397Z digest=sha256:d54661c376dadb49951da8150d59c419ddca0e58cb553e63ad7cdf7598a8ddcb

Observation 0b915e4e-f657-4a4d-a734-da761997e85e · outbound

This paper cites A wolf in sheep ' s clothing: Generalized nested jailbreak prompts can fool large language models easily.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs A wolf in sheep ' s clothing: Generalized nested jailbreak prompts can fool large language models easily

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.330055Z

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.

source=arxiv_source observed=2026-08-07T14:48:16.271254Z digest=sha256:e915acea0b3d3d281d048aac6730935794a91757ec16cf6da19081e933b79186

Observation 408ace67-dd89-4f62-ab08-1832acbcf9f0 · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 10

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no resolver link, observed 2026-08-07T14:48:16.356727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.356727Z digest=sha256:ef93f4fff4d5f0c9d91a65b52d18ab45dc47c3711c0a9dd2347e10562847edf5

Observation cd90a318-fbaa-4d84-af95-b6006dfb8448 · outbound

This paper cites Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 11

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no resolver link, observed 2026-08-07T14:48:16.431715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.431715Z digest=sha256:a0750ef98c3c9fa2d101710e4eb6292e97a5d659dfd1087983ccc8f410d29dec

Observation 918cc513-33f3-4b45-aa54-b057d3f459f3 · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Improved Techniques for Optimization-Based Jailbreaking on Large Language Models

Reference 12

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unresolved
no resolver link, observed 2026-08-07T14:48:16.511497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.511497Z digest=sha256:fe7e2993fbbae0b90a264f0c7490342aa93fc940797f5e306b45a124753216fc

Observation 73ac51c4-1e90-43ab-99d7-f2ef63c98c63 · outbound

This paper cites ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:48:16.637249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.637249Z digest=sha256:3aa6c2160f7183859e8852aacaca2c9707da22c0c57d22570980216c6d43d24e

Observation 5936518c-8597-4575-b8f6-130a68ae89a7 · outbound

This paper cites Pretraining language models with human preferences.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Pretraining language models with human preferences

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:48:16.715057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.715057Z digest=sha256:f4de2968de8ed7926713b8514c92e55be99d90a7639804c10072d806060464a1

Observation e4abee56-3d46-4a49-9a63-5ced7a6e294e · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:16.796826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.796826Z digest=sha256:0c159163a858c33d96b7ae63fc54c44910591490e8b8fb5da700a9b0a2352391

Observation 9ed957d2-2887-409b-bdcb-8842dc65627e · outbound

This paper cites DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:16.908261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.908261Z digest=sha256:6126e58b6365a2f2dd387888d0b17ad1f1c0454cf8bdddeba454daacc926a2cf

Observation ddd664fb-f6f8-4189-b45d-15adea217f73 · outbound

This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Reference 17

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unresolved
no resolver link, observed 2026-08-07T14:48:17.045904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:17.045904Z digest=sha256:c96f01b2284c0b5e882069dfd248835e07f5247a0367e0c4c690f2f4c8baf9b0

Observation aeaa5a8a-e36d-4082-b248-a403c076f259 · outbound

This paper cites AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs

Reference 18

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unresolved
no resolver link, observed 2026-08-07T14:48:17.137451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:17.137451Z digest=sha256:02adbcb736274c5cd2080dd3a247c315d3f2647071f41efc9ed4c9f54ce3bd4a

Observation b8cc7319-4458-4b15-b79e-2996f06399bd · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Auto DAN : Generating stealthy jailbreak prompts on aligned large language models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.202201Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.268725Z digest=sha256:a465dc14f1995b1348b8e6063b0d0bcdd59388e656f5e07d1f96e587fdef4a8d

Observation bf238e03-c2f9-492c-ae66-27c1804f362a · outbound

This paper cites CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-07T14:48:17.350033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:17.350033Z digest=sha256:c969e888abc5f6c0f6f2772f715300b252bfd64e9dd55335ad9bbf7de78d1fb3

Observation 2304a90e-8258-4faa-9238-a1127b9121ab · outbound

This paper cites Harmbench: A standardized evaluation framework for automated red teaming and robust refusal.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Harmbench: A standardized evaluation framework for automated red teaming and robust refusal

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:22.050501Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.424186Z digest=sha256:e85d5b43c61807a810b861580dc3f6edb0c1943d3a6f23dc07d279791e8198ab

Observation 02d8d6aa-cf37-4c38-8d34-4e8c8197181c · outbound

This paper cites Tree of attacks: Jailbreaking black-box LLM s automatically.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Tree of attacks: Jailbreaking black-box LLM s automatically

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.862525Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.504179Z digest=sha256:a0401187acea5af0c2952532edabd492256e9b484c90c41397b51ec17c555c2a

Observation 17228427-d4b0-4f0b-8a23-f9a79b307f2e · outbound

This paper cites Fight back against jailbreaking via prompt adversarial tuning.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Fight back against jailbreaking via prompt adversarial tuning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.765165Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.583940Z digest=sha256:c5c03fca7d9dcf4260f365d700116cd3b1a39e040b2a9feeff14f081161e121e

Observation 2e4ed94e-d0a7-412e-9bbc-189c10aee2c6 · outbound

This paper cites Snapshot of gpt-3.5-turbo from march 1st 2023.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Snapshot of gpt-3.5-turbo from march 1st 2023

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.612033Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.650839Z digest=sha256:7c93ac4608f66cd052b8eaa1de5d04a794016b25373609e54d72fe7a9195e6f4

Observation acabc645-673f-4d89-9202-2fdc53bb488c · outbound

This paper cites Gpt-4 technical report, 2023 b.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Gpt-4 technical report, 2023 b

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.479567Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.757745Z digest=sha256:0a90eae44e45923cc496dc6ba4bdb6d72c0f6f897cc7374a18c299932807576d

Observation 68efa101-8578-4541-ac48-7954ff509fd3 · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Training language models to follow instructions with human feedback

Reference 26

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unresolved
no resolver link, observed 2026-08-07T14:48:17.865297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:17.865297Z digest=sha256:36ee160edf0413eb428e58e134ce9cf2dac4a55383e5131dbcd29c669bf06a2a

Observation a1b439b1-373a-4894-9d43-570f3fc5a749 · outbound

This paper cites Red teaming language models with language models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Red teaming language models with language models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.255103Z

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.

source=arxiv_source observed=2026-08-07T14:48:17.958546Z digest=sha256:42e8a815a0558734b3f2d6859f48a00d7f8655add92995ebd01407c6ff0c03b6

Observation d23f52bd-4ca5-436e-8c3e-fdb6e77fd748 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Direct preference optimization: Your language model is secretly a reward model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.023530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.023530Z digest=sha256:b190909d96bce3ca057383d4d1160106009cce5bb09ad756bbaaa717bfdea183

Observation 7e846e3d-3986-4b22-8b9d-2d3536159e8e · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.126499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.126499Z digest=sha256:5908b5feee9b2a4ba1df6371a30096c65de3634da03b8b9c6d9c67cf299ea74f

Observation 528b4f7c-efa5-4ffe-8670-963e8e0dc931 · outbound

This paper cites All in how you ask for it: Simple black-box method for jailbreak attacks.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs All in how you ask for it: Simple black-box method for jailbreak attacks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.206720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.206720Z digest=sha256:3b0eb10fa20484b073e59e80d0d5eeff227b1d1fa4ca304c5b174d715c16138b

Observation c4d9d5f7-4adc-4145-b18d-77eaef25c03c · outbound

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

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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unresolved
no resolver link, observed 2026-08-07T14:48:18.262919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.262919Z digest=sha256:162f61e563809dcb4eebfad31cb06df8ec81ca4ac1f486a7b8982a457a219e6f

Observation 609374de-bfb4-44d8-8669-6b56623f2efb · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Aligning Large Language Models with Human: A Survey

Reference 32

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no resolver link, observed 2026-08-07T14:48:18.341107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.341107Z digest=sha256:03ce3fadf354ff41ccb04c7f08dbf19ee0e428b7d73cebd098d8a35ade49a2da

Observation c36690dc-aa9e-4741-acf3-4065a55dbbf1 · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2024.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2024

Reference 33

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unresolved
no resolver link, observed 2026-08-07T14:48:18.427408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.427408Z digest=sha256:e28014f9b4688d2e6584d8c74ce5b072eb2b2d201686de84926a897cf646c4ab

Observation 77d3c26e-d3d3-4b02-ba96-47104965f923 · outbound

This paper cites Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts

Reference 34

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unresolved
no resolver link, observed 2026-08-07T14:48:18.483319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.483319Z digest=sha256:c94e3192aed3001fd3aad0eae522ffa26c9d85839a6331b8388bbde58c01adcc

Observation a5dde6f0-a376-49b4-8038-159cbddccc4f · outbound

This paper cites Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks

Reference 35

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unresolved
no resolver link, observed 2026-08-07T14:48:18.627766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.627766Z digest=sha256:d1647ea4bf36b4a7c8c0c683ddfe6d4e958f741375402df41ff47f80eea291d6

Observation 04a3ae29-f7e2-4cdd-95a4-35d10a75d655 · outbound

This paper cites Safedecoding: Defending against jailbreak attacks via safety-aware decoding.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Safedecoding: Defending against jailbreak attacks via safety-aware decoding

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:21.088976Z

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.

source=arxiv_source observed=2026-08-07T14:48:18.710971Z digest=sha256:7c31cbd55549c6f1079134f9d52eb10512f2be01ee68c2a6e69f0f320446fb28

Observation 17efba1d-e493-4593-9413-d13bedbf7dbd · outbound

This paper cites Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.758264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.758264Z digest=sha256:e094fedc600cf78205d3548eab398919be8ea410b318476edeb58988cdfc768f

Observation 22469730-0548-4f43-9834-ff7767665d82 · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.798279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.798279Z digest=sha256:cff7d850fcfd270bd411595921d6896e0843bd9cd5185d431757a345b528cd7f

Observation 69334d55-1a3f-464a-9983-23534f772871 · outbound

This paper cites JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.912188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.912188Z digest=sha256:0b56d5401cd7e530c355bc17c90e06ef1b7942cad677926684f0c88c3e76639a

Observation d81e1812-e9bd-491f-b1c1-38c5021983f9 · outbound

This paper cites Instruction tuning for large language models: A survey.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Instruction tuning for large language models: A survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:18.994663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:18.994663Z digest=sha256:da8fdf7111c28bbf751ff38f9761cf1f6490cc857ba2ec596689833e5b4bab5b

Observation e12c41e2-6819-4e02-910f-74c7d0eb0f50 · outbound

This paper cites Boosting jailbreak attack with momentum.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Boosting jailbreak attack with momentum

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:20.944684Z

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.

source=arxiv_source observed=2026-08-07T14:48:19.065101Z digest=sha256:e013fbba9e73bdb8de9d164df671a55f4d81365bf717bd4b21b1ad8edd725a03

Observation 81ad2ebf-cefc-41f9-9e41-35f614470b81 · outbound

This paper cites Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.161847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.161847Z digest=sha256:c5b84495026468a537ee6c9a41984127eded1317e0e4866a88833392efc0eb40

Observation 19be7a68-208f-49fa-9f69-19f6108d4d59 · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.249678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.249678Z digest=sha256:17d208e822ce74c62d11c96b5fd74cf009146092fa8e933a2fb4b3cfc51432b6

Observation 161fdb6c-d5b6-4790-9aa6-510d377279ce · outbound

This paper cites Robust prompt optimization for defending language models against jailbreaking attacks.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Robust prompt optimization for defending language models against jailbreaking attacks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:20.834533Z

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.

source=arxiv_source observed=2026-08-07T14:48:19.359882Z digest=sha256:0847e2cff91134ca7e9e9ae0574389cc90453f4c64212be8c58dae1cbf8a35ce

Observation 6cc63926-d7fa-499c-9d4c-e5013cc51127 · outbound

This paper cites Auto DAN : Interpretable gradient-based adversarial attacks on large language models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Auto DAN : Interpretable gradient-based adversarial attacks on large language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:20.651337Z

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.

source=arxiv_source observed=2026-08-07T14:48:19.421019Z digest=sha256:7f8c925561b4c094bf795cd4af2c79843a40aff6a50c0ba1b029ea046f713ca4

Observation 49a229ff-004e-4c39-928d-e2216b637aff · outbound

This paper cites Toolqa: A dataset for llm question answering with external tools.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Toolqa: A dataset for llm question answering with external tools

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:48:20.549914Z

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.

source=arxiv_source observed=2026-08-07T14:48:19.477699Z digest=sha256:74dd231d9a444be0c9c8ee936153fbe7f6dd9500b49e36fc20da007c5dfaae6c

Observation 333d6902-87b6-4470-85e4-59b3582d147d · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.585178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.585178Z digest=sha256:9c6a421b06f05ccf8d0176b4c35ca69b480557be337d2d834afe3f60d7b190da

Observation 38ebce12-0746-4952-998c-0d87a844b871 · outbound

This paper cites write newline.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs write newline

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.695447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.695447Z digest=sha256:841b04a3d33d39ddb2a9a7d401cf3adc04174687110344dd7dd579a71a8cd2ed

Observation 1749b9e1-2346-4049-bc1c-48a9f287426b · outbound

This paper cites @esa (Ref.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs @esa (Ref

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.755580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.755580Z digest=sha256:bbb7d2e60d278ff2eaeee1c391b5452010ced01b4a0f12bc795f57c49912ea0c

Observation d21e31e3-1391-41f2-b9a5-1688a76abfea · outbound

This paper cites an unresolved cited work.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.815959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.815959Z digest=sha256:3da868ab611bbfbc0888abcabf42ab4892df65eed3e9526b5e4b94f10a413760

Observation 78124580-7b17-4804-a32f-f3dac5904765 · outbound

This paper cites 1zMx:sy;[c݅ EƐ uqmqpN <Q jL . yTWVU+ MϫQ= U>s:4K I )?,˖?. ٨S/M G+2 -.Zy X ʛ Cc.M @/HB 60Hqv _A ` 㵸YCZ 6pQnm 9yI.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs 1zMx:sy;[c݅ EƐ uqmqpN <Q jL . yTWVU+ MϫQ= U>s:4K I )?,˖?. ٨S/M G+2 -.Zy X ʛ Cc.M @/HB 60Hqv _A ` 㵸YCZ 6pQnm 9yI

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.918679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.918679Z digest=sha256:6004d022b58a38a179c28b199db66ea405eba1c899c9cc2d306867d90ba7cd31

Pith citing papers

Observation 46d50d66-226e-4c0b-8b8c-1180341e32c7 · inbound

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion cites this paper.

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:04.279470Z

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.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:c7919820fdd4b6a0dea683a95274c0a0f17bfd475420a92452e1a96b442924e4

Observation aa48eac5-0c31-4905-8582-1f303c47d7bb · inbound

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:16:34.680474Z

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.

source=pdf_text observed=2026-06-28T09:21:57.373862Z digest=sha256:f1e1300c6260cf69a8fd9623d9a077520ff43e52fe70af7822e62de81f61a870