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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:7ad72fd5e3084465b57e7b5e23cccfc9b217e9169c99657267c99fef272b7439

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:15.699936Z digest=sha256:5fe3954c748f178b7a2177fcac17b69938a5d10537d2556492999bf1d535b2a6

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=sha256:9581b1b1a4ecd7535fcdb682785c2b1287b9020a7745af4610acfcbd27774a3f

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=sha256:6a49adc099738c4890ed09d8b92153b9d59c41998f6b4472393ea8bb39357149

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=sha256:58a39b0ceff208ebbcbb60c7a1fd39c5702494919177c9dd1ef15780ddeb78cc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.019150Z digest=sha256:c1be9609f10cc6bb59d26b889f9b70175e078740ecad6e4ee982bace87e1c975

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.058162Z digest=sha256:23f42d915c4153635ed577b9baea49d20b074f49def9abac6db803403c38134b

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=sha256:2aa6426e1b9b7fafcba39963c834fb6ac8a267407c5f5b2558076c7c9093372f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:16.271254Z digest=sha256:897eb4dd7bc510a28805f42e2ccb46d103a547b523ab473c28a46e39aad55ac3

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:c6ef196987311c70696a4a4858f267dcfe09dd80a346054156489510a6d6c17f

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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unresolved
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:a6df323ec879fdabed9ccb4c7664b3ac021f3d31a3f75af991955d1d0b67718e

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=sha256:645007aecba4ae4d8849cb94969002b031bf01a667257ebb1cbf61b07c56cae5

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=sha256:8ce0c5e1ad52170a85b68361caf7d9263591c41826c7d086b2db127c29bbabaa

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=sha256:9da3b61fd626263d0e61724ecf9a7b30b6b0e606096450155236d920b94c2511

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:e2845fa056d54a09c331cbfe61f4952a27232462e4128a8edfa9a20e3954f2b3

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=sha256:9bcfd0121aba1cac71c8a68918939e8d41435ecfdce60cde597fbc4a036d69a4

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:d27d3c171cdb4f032a4387c1ccc8cea715a9ccecb68476bc8deaee73ac69d3dd

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=sha256:324f6b2c1a02c7436d74e764529bb341d41e5e1fa0153446a4e0f772d881d239

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.268725Z digest=sha256:9b7df300fa68127ec8988dd0cf7661994283dafc9956d38b6112815040820c82

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=sha256:265fff6d01237c4a9aa4e4a8e2f3c45a2d888aad419504ebfc5bad2ec9a0fd62

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.424186Z digest=sha256:41ab7b43a1599203e0d991476ad53deb333621f9dfe22085df54d3c980b908b0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.504179Z digest=sha256:d231520af225e1f1b75d94e230f7b61a226a1ac9e01af3a99241cc92aadac57d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.583940Z digest=sha256:e8cc9ee96a951228b1d43c1146d90e2abcab928abb4339897738051aeae3c8ca

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.650839Z digest=sha256:3cdc328a4af19c26dfaaeafd37b1d462f2ffd517314842f1a28d87a8ee202070

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.757745Z digest=sha256:d95a800d1de1b8f828bec7c8f4eb50f80f5aae0ebb3ec2c99f6b6ed2cbd3a490

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=sha256:14e56c5b8a985f476d0f0bfcb9e581985b3ebb88f4824f0ba98bd4836226b043

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:17.958546Z digest=sha256:7eeda74454ab73b5a799b030eb6715947bfd97be4883fcccb6e4c66b62626ff8

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:e3228cd4bc6fa8ec36f097c9cd4fc05d2cc586960ca391359090c6c17d180238

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=sha256:1db7ebd579e999ca4499491e83a430e7fa2d6c8c530cae2dcb1f790775db9c31

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:dcf61e270e8f74bb276e87ecce0f0fd83d46409d48106ddcce0182092d4116e1

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=sha256:10712ec328a519ebeb6dfaf50d22872ce533d0bd646fcd7a0874bb4c9693e93b

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:d609771e53b51c81b4b4b6ea8486da5c713c32875cccd2aa7f5dea38fa2d286e

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:c0b0c0ef32a2ecd0500f515628d193cf05dc7ab0477683f628080c5f210a1555

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=sha256:4b4ef5ed6d0732376de713ab372d51a52ba45d8dca3779b45041a6cca2e5b474

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:b350e4e3266bca7927932a5f60fbc3514c637badf977b4ce41b2024e520204d4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:18.710971Z digest=sha256:983ca62d8bff0b9f9e6df42b3faefac94e191fbdcc29939635c7d973530c8bd5

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=sha256:47af1e0b6f846ae503de94bcd6192fef36795e13cf0019feacb687d9551283e0

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:bd8c0f5fd853fabecdca848ab2fd59fa6b00cd561f156834db23cb1ead93b4e9

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=sha256:6112b2206b2eeecfc12628b415dd83019c2d63afe2ed25aebb95f552baf00e52

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=sha256:7989ce73b86b6a6444c1955086329626b66728c3191827d42f93c2c1e7d3bb15

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.065101Z digest=sha256:b7113d2faaa5c494823d666cd514e182aa1dd6754531e16dffe86354827d711a

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=sha256:639855e0f63b67cfc780c2b94399b83467acff9188f3926001184c8e36a12fa7

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=sha256:4d1e90d3166c7f6ab634a84000a638d2ae0a20d939a15413fa0ad1b995150865

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.359882Z digest=sha256:258551766f8d7f81339b0d8643a6a42a67b66f80ca4be954101f0daf39250691

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.421019Z digest=sha256:b6081d30a04b171cdfb2195e11e1ca517e4d4dfdaa3dcc43222c7b931e53edd1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:48:19.477699Z digest=sha256:8bd951534daad3171e02a9f4c989b20877a019819df99cb47cc75a4a90f188dd

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:b664ac9c04ff9eab0684c9bcb749bd676a93790ec6b0c926fa4458a5ec9dc26a

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=sha256:0954ffa3e2f7669767885773afece5815167ed5b9325f3af164da9457059e882

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:e5d0e3e18dbb7b3f6c87f054af0629581ad22382425da022d7d697dc1e911776

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:b082091d0311fd7436b6687c3d5587424ca7763fc8e2ad95d6b0afcffae3a39e

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=sha256:364370dd555d2b2422e074124e15e149b131c032806da6fb18af9ff546c335ed

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T15:19:46.920899Z digest=sha256:7865e976315292d3d31a8c26b03a36d72843dbcf9574696cbc4bb7c9baab715c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T09:21:57.373862Z digest=sha256:d49380ce1f63019eb6b7148d1ef3886293e80c66e40269b4a1bf37c0be803cf3