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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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:a1786e9c7635a019c46d6ac2dd2912f5ba9dc63a11d00ec20dc0fd26eb5de304

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:15.699936Z digest=sha256:e7ea320f6d092d2090eeb09a9c4353505ab4ee3399b8a1eb37cfece879e7fcd0

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:b6a40580c86b4ca02bda063bd5a0dcb6290d98c3ac139514e5847bdeab666537

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=sha256:6da7e625e4059de0c834a39ce2065d0c13d4e2aed988d0c91fe72e6d5c4c7d70

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=sha256:78fa2b8cad21ffb8ce3ec444b7823e2a38bcc0fbc58233b71562c45764489432

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.019150Z digest=sha256:0641c0e34dda326aedb9893ca1269c10eb5ad5fa252eff2f7ab4317f81b181bc

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.058162Z digest=sha256:68489707a9086e0f146ef88ae871a223cc38875d2dfdf00e69d66e5ad8c62755

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=sha256:3cdee18c1693e64d7c94d15c7cc12173adb8dd45d214e6b1e6e56efeee8abcc3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.271254Z digest=sha256:9ec6a81ed01ba6affd551e415f67e59849990666377df915e6174fb2b7e75f78

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=sha256:76804de7e9b328291e590f40d8994429c85789ac62fbd2cd763ed40f893a1c4d

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=sha256:237760020868f2d750bb4af354fc62bcc072af43c27690ee70736927819ee0e0

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:b8b448debcc766fc44b2e5e32fcdb5ca9da3be6c1d21e86ef34900df36c27312

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:aa002b603db6bb57ae73112bf3c9fae6299b0630370de714d000efdd1d985484

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:feed40e8ba4da849da017431d0b8e49641b8d66f1d71289b3e53db55794896b7

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:ae93f59f5e6d6681902f4b1c9aea05ae71f0cfe2a683885ca6c3f9bbf6c934db

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=sha256:234634ab6a0104e7a4bde7b86cb5d4fa45fc517c4f8f435b02b55e2781840304

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=sha256:1a3e361587dec12662382759312afe0b63fa797f801700b29f1799efb9516d6b

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

Resolution
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:ac689f96819e3f103237e33a2a37df68341162cd35af5809cb08efb4e710258e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.268725Z digest=sha256:7468d7e60008c695b9ac2aee7dde433993f4f2c06d2f857807cc544595e725ba

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

Resolution
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=sha256:292c3a3406d4e94f23481598bcfd64f60cf0deeb022ac9c6603afbcbcd789c7d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.424186Z digest=sha256:0567383a60ea301e227e8964fb4e016e6895a324e048908fd674706c993ff850

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.504179Z digest=sha256:a460410d57b92081f45285a3889f00463a5954eea55061044e4c7b2238489db1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.583940Z digest=sha256:96a872ffbc459bcd90ac6ae0de327308f9bc44ad860eeb3de4a1bc4ef3de398c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.650839Z digest=sha256:dcbdb239f0429a46f54c176e898a0a998f675c3e5ee17ef2d9d1767c3f55700c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.757745Z digest=sha256:b6de85aff965426f58e03c1b567b2b623267feaef6cdb872c04f6848346b546e

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

Resolution
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=sha256:9ad193068f33e251a70f232dd8451bc6c8a5ca233ffce01c26215e42eae437b3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.958546Z digest=sha256:f7ffe6fb2f4f6adbe231f8e802164e71858f1839fe2cb5b7a642ffc577e697e6

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=sha256:51d7692c03b19b6c4b994b14ad2c755f7886b3f3e17005f0bd930f42b0342e98

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=sha256:749cfc625f31e9905f413a742d937c8d82626b69f2b0e823636bef6809a3d29c

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:ec434c744423e1f5036bdbd9f8737abea0136e4645d00ed3806d93f3c2877c78

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=sha256:4af557b039e4f3dcc2a6226efcd18b8acee400add6a51a7ce5f159b76fe16b01

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=sha256:477c7377cf7a29beba4cf55f91c39b7e2983fae9428d8fd8f41165f733ecf2bc

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:ca58c75bda3b8c8c8b01458d73cc9905756419c844f270ba8187ea748305777f

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=sha256:8c86de54bfb0c48c52c6c70fda1d3c6f1d5ec3cb71a1a7d5919e4adf96179702

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:dc2a5283e9d2b6bd73b67409b0e4f5aba32aee3c0f3c09b087c2b7dcfd174a4b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:18.710971Z digest=sha256:77af195f9357756a7285e4b0e771598a2845b3d48d318f4b173fe0e608b6cf34

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:b639e50b11b00443bf1a9a1d9ed84171a0cd7a02ce8b4a95e4a51f927fc6f465

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=sha256:647a0c4e76a1ff1fe7e7cef2fe3bdcf132a7bd6c2e07c8baf94a7a08e8eedaaa

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=sha256:5273213c11f361baadb9be367032ba3f1a62469dbd6c0f560c6aac7073da469a

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=sha256:84c33f87aa42a285a3c70a3ca1e5f82951c6f173afef467fbacaefa0ecf91b67

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.065101Z digest=sha256:0be13f324afc6b1aad52196a4677aab1add017164a3c6cc2efaf2a18228966ca

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=sha256:16be3c31289de658ac0c08b9203a6590b11a86b984817099e52f97ba7b9160eb

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:aa68d29248399ee7b37f4483b1fc295051eee0a2a8a3398a31aad6cbf41d94ef

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.359882Z digest=sha256:a22d471222bcececf08169d82aff9590e569655cdb29318b036f8171d7a0870d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.421019Z digest=sha256:ffb921d5ff41e75b20accf327571800af47c4250b26349d5007d9e399e3ed59c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.477699Z digest=sha256:a0c95beb85895128c1aaa9162f89a6acc1b895da2b3aec284f16f1ceded8ef82

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=sha256:07a6dab2fc702a9bf2ce4cb22c724aa4a0ed6546c3f354caa19902b401959412

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:fa2897fd2070561eb4ef6cdb7c015194a3cdd7540edce36dd2b60dc057b4aaf5

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=sha256:8cd2a6a110434fd5513b6e870755a0b9676871549af5ca6938756e034c173936

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=sha256:5f79a5e5e6d8ad432eadde95284af71286f8c315f258f8c9ad80880e4d6715f0

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=sha256:21c0a08dfea5bae7584e2f1f42cd8dd1c09993ed53fd9869e5b155ef11ade0ae

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:6c7cad93462d738e083d69d2819687d32e60dbc48af16c8871409c9bf8f1aec8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T09:21:57.373862Z digest=sha256:e21d4e9305e6b126e57fce83b02d8b5d70d3e25d8eec499d8c35048d81d9d8cd