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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=sha256:5d602b4bf79d8af1a57b24d560480897783f059f695bb20927d9ea1e877180d2

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:e9f656f2efbb24bff095580e81ac36ca076bb17c274ba96e869d672bce06d3a6

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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unresolved
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=sha256:324d81a2972d83ac51831503f82f4f3d3b189d8b51c1609181a126e07a8a5f66

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=sha256:27984c09dbc9e4a39fc1828c675acb000c8bc518a89d87b69a5af2da77157f46

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:ff64cdc6383e5c69351935b93aa0d9f3bc720507ac6e745d06ca9e68a67c51bc

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=sha256:4a2783c7891b06db20700abb17671c4f3838ded99f7463afd464977a188a71b1

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

Resolution
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=sha256:5b62e88fb6ea6749ff2f725a29be3492a571673beaee000a45c52860a8228031

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=sha256:105be668e83cd422975996ccc60ca50fa96182356e0e9955f52bdf04aa738932

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=sha256:579c3be801baba7ca47ee67c4923ffa0b8dad9704428cc7d35dbf86953bddcb6

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=sha256:680065821bd309eb592e6eb70832861f6b7aebcb6d42e724f044ad5b64287d3f

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=sha256:89c3f9227aab8c3067b0e14d9bd0a92317486e0b52fb2657d699f45da7d63f95

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:c868121ce44cb5a249b06a0d18ce750b665f17254618652a62493922d4a182e7

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:c82bfbba4246e3d03eafe7077d5dac5b705889b18a028de8ce949352620a754a

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=sha256:0e1e3f2ab166f6140b3fbbc4e4c14c47f48579d2033e28000953a24405eed780

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

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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=sha256:02025a12a244b0eff29849c4327dc0b34248c0e75182578ca33ac199f28aff04

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=sha256:05b4545f0900b979911b01691a3afaa7c2d74a61a03ae0edf811cc8f3cee5b21

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:cd089fc23b190f262916c2a76cd500a3f1c59ac80f1065b2857f77c7157f2b6c

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=sha256:3e137cbd03c4d8b04e9c51bc5ee399836c0044a17eeb686f9a11a8ea9cd85bc8

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=sha256:6d56388447e7b11893617702434cd3b0f0bfbbd6fb1bcd108aa866100612a42a

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=sha256:0e41302a636c0ec979c88ba802e722a3712d6728dbc43c7facef68093e119169

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:f1ea794463327a27e03b63de63a587dd2392c6e2c751f47879c2ee700b4dd1b4

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:a5599c05c73a41e16b4973d3d78a4ff887bce62cc43a92f249c0d149720e7b18

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:a072ddc3cbe89131aae1ace5e766b38eaff27da7775b3ed2917491d4f7bf5cac

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:a0420871ad9f0424d2257ff5ef3afdadd33e1a80365588ebd3d65d51f5416b1a

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=sha256:35af4d3b2d28011c648d15e37063307c5aafb7779a1332cf74e517e166101b1c

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=sha256:9e239c9e6daf5b80327d18d86beb291a49a5f394d2b0bef53f8eb770678c8161

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=sha256:8bfaa438f01cd89bbe07bc77cc811c322e863628e240694882d9aa2a4ed705de

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

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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:bf57682f454574d2d6d65b30423103a8232a12125763c1f527820327bd990989

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=sha256:2fe494d1a9083b28df209a7d9c190571b92c9b947727ed9adbfd4b57f294240e

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:be646b8c057ef00f98a2ee0bfb9277f5644e8c6fdfb0cfb4c2c501676d546a38

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=sha256:8b0692e94c51554d60687bcba9a1a350263a81bc433f48fae0a0075fd365b31e

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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unresolved
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:f7861a5c74b2575e6995f2d04848ab24aeea1d558a4af1f4ddc672dfe57058b8

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

Resolution
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=sha256:990f5b07288e727787c736926a4dc932ab56e17cdc0a7bf05724e2df328454f7

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

Resolution
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:b9a093a4cf69fbb93d77b5714294582770a3ccc285ee2efb8f3c9edb564fb436

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

Resolution
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=sha256:47fa88531e0fdc7c45332ba4e48d3e3d181686304404bb829013b65d1b2a0dab

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=sha256:8f856f97e2bca8984fbd7247853474aa28c6b37a5ec00065af86878ed5ea870e

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:f8e4a21d53422626c2970379496844856895e72040945a34eb1b1d41c02ae9cd

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:ccc97b3dad835cda5f17c3f27e23ab76ced47a0354b84265a20ee23b744025aa

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=sha256:18ce8a11baac76ca281d3348c4729bf6302c843354415ce9333064189865e4d4

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=sha256:547b66b45457e308cd07ca136406e7e41935c7796032547baae726edcc41b7dc

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=sha256:1e493ba6b76f06e3a06e419e62d3a16eff422daaeaad76b83705a0f439176ece

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:f1db29b0aac4e49bc9468cdad89a6bb1b049c347b53c9be7210029d8eb86ef5f

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:a66fbc67ea30ff62bcc17bfaf9fe14eb72f7c986267488d3d86ed1a24167e3a4

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:b6a09900d3efbc13738d5b8b157e4813deb227761871448ca77143fa107a5f68

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=sha256:6f04d858451ccaf2253bfcdfaa029f5ca47babb1a88766314bb7efd0e269863e

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=sha256:6a1d986ba9bcd09a7c544aea5b27cac74d96c0fd1140986e7ed2a68593b8b694

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:e45bcd349d61a669bf62705960fe5faf196d204941fc1573219f53f6da9d0e28

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=sha256:871b8172011d63fd2c0ab595aea6a26419a1f9b7c1e31d023685097974b100dc

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=sha256:6da1deac3edd4235eedb82aae996eb9ec95b8e6aad5112bc9a51e8bc5dc88910

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=sha256:0f279b79691b06c171af6afbc757211971fb9bd3c5d648f7c9e61f5db53be71c

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:e38a174f5e12b850817fd3e2d34bbb5e2194f14ffce56dcbe7a99c36ee9198ed

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=sha256:6759d6c398dc9f3015a110b615da5e8465a5f4d4d8cd1068d911b4b0e3569c24

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:d0dcb1720bbf2f70d9de05e640f6ed98a567ccdc0264d10970e5b860447d9974