Paper Citation Record · LEDGER

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.00010.

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

pith.paper-citation-record.v1
2505.00010 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:06.076571Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy9
unresolved25
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aca56f2a-63f5-4fa9-8dee-7e29e1ed1235 · outbound

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

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.959157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924cbc20-b39c-48b8-9e50-87e6a2d912e9 · outbound

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

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.963888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdcc855-90e1-469b-925f-a8ce60ec3938 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.967752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20d42c4-07c8-4bfb-9e08-55bd51ca902f · outbound

This paper cites Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.971739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dbddb2b-3dfe-485b-826c-678e3dae5b59 · outbound

This paper cites Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.975360Z

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Unavailable: canonical work link unavailable.

Observation db0ddc5d-1090-43bb-bb9e-969b1f89a74c · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.979215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4cf211-10a3-4eec-9740-2449eac11b1d · outbound

This paper cites Unsolved Problems in ML Safety.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Unsolved Problems in ML Safety

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.983456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1353cb4f-3c75-4ac0-9e60-7e3f08ddcbf8 · outbound

This paper cites An Early Categorization of Prompt Injection Attacks on Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models An Early Categorization of Prompt Injection Attacks on Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.987267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0768a78-8f61-48a5-96e8-71df50420631 · outbound

This paper cites LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.990799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bdb830-3ef2-4a41-afce-e0c81a7073dd · outbound

This paper cites SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.994261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4529d57-b99a-47fe-aea4-6f9e329d0434 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Ethical and social risks of harm from Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:05.997750Z

Source-reported events for the cited work

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Observation 043939cf-7e57-43de-9de2-fa9d1e454835 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.001792Z

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Observation a89b8ca8-ddcb-42ef-81fd-c64365bd755e · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Large Language Models are Zero-Shot Reasoners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.005038Z

Source-reported events for the cited work

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Observation b458719b-5979-439b-9d15-df5bb921859b · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.008645Z

Source-reported events for the cited work

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Observation f184ed7a-1af8-48fd-88fd-611feb04a5a1 · outbound

This paper cites Generated Knowledge Prompting for Commonsense Reasoning.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Generated Knowledge Prompting for Commonsense Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.012569Z

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Observation 147e97f7-1b46-413f-9bb4-a3e04607d164 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.016121Z

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Unavailable: canonical work link unavailable.

Observation 2ef29112-7d1a-451a-87e6-bdb41366de1a · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.019948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aaec499-8e99-47e8-ad7b-c420497d6bc5 · outbound

This paper cites XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.023607Z

Source-reported events for the cited work

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Observation 86bbfa5c-aa1c-4a04-a9b7-b367ef146309 · outbound

This paper cites -S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., Gašević, D.: Explainable Artificial Intelligence in Edu- cation.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models -S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., Gašević, D.: Explainable Artificial Intelligence in Edu- cation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.027945Z

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Unavailable: canonical work link unavailable.

Observation 3ef1cc80-c4fb-48b6-abb1-b3b1b172424a · outbound

This paper cites Computers and Education: Artificial Intelligence, 5, 100152 (2023).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Computers and Education: Artificial Intelligence, 5, 100152 (2023)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.031612Z

Source-reported events for the cited work

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Observation 01662f7c-7f71-44c1-940f-cdc0ae3d16a7 · outbound

This paper cites Electronics, 14(7), 1294 (2025).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Electronics, 14(7), 1294 (2025)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.542980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4779acdf-bca6-4b01-9b4c-94baf8fb1eb6 · outbound

This paper cites Journal of Machine Learning Research, 12, 2825–2830 (2011).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Journal of Machine Learning Research, 12, 2825–2830 (2011)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.535639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94e59f99-b8c9-49d1-b2d6-c7f4279c99c3 · outbound

This paper cites https://ba- lins.github.io/fuzzytree/index.html (accessed April 6, 2025).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models https://ba- lins.github.io/fuzzytree/index.html (accessed April 6, 2025)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.526858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdf9d375-67f5-4f19-bf02-30cf67aa8e98 · outbound

This paper cites an unresolved cited work.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:34:06.518134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0573adad-5390-48b8-ab85-60cd6f4fa33c · outbound

This paper cites -Y.: LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models -Y.: LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.507807Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b9cc49ef-8f09-486d-af25-40d7719429d0 · outbound

This paper cites Random Forests.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Random Forests

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.051039Z

Source-reported events for the cited work

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Observation eb6874ed-51d6-48b6-b37d-167de0e726e9 · outbound

This paper cites In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–794 (2016).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–794 (2016)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.054282Z

Source-reported events for the cited work

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Observation d7959a6b-bd04-4131-82d1-90ad2a5123ab · outbound

This paper cites https://github.com/dmlc/xgboost (ac- cessed April 6, 2025).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models https://github.com/dmlc/xgboost (ac- cessed April 6, 2025)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.496666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e58eb298-e0bb-43c6-8577-89c6f91ffa37 · outbound

This paper cites -Y.: LightGBM GitHub Repository.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models -Y.: LightGBM GitHub Repository

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.486296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbce3418-32e9-432f-a238-a9972f861b23 · outbound

This paper cites Integrated Computer -Aided Engineering, 32(1), 25 –38 (2025).

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Integrated Computer -Aided Engineering, 32(1), 25 –38 (2025)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.476446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e10a109-80d2-49f3-a88b-44b981394b74 · outbound

This paper cites A.: Fuzzy Sets.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models A.: Fuzzy Sets

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.466027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7aa6b4ab-8812-48c8-9579-dbc0947fe4e1 · outbound

This paper cites an unresolved cited work.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:34:06.456685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09079ead-7dee-432c-814d-9423afc57438 · outbound

This paper cites an unresolved cited work.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:06.073577Z

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Unavailable: canonical work link unavailable.

Observation 8ec94d38-048d-4589-9d6e-9fcbc3340733 · outbound

This paper cites E., Hinton, G.

Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models E., Hinton, G

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:06.439802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.