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Paper Citation Record · LEDGER

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 6 inbound Pith citation observations for arXiv:2506.12707.

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

pith.paper-citation-record.v1
2506.12707 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:17.376587Z

measured 64 of 64 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:26:33.740006Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation baaf0953-9590-45a4-816d-5129397a306b · outbound

This paper cites write newline.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression write newline

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:12.192495Z digest=sha256:bdfb6e08f8c701f0abdc87321441bc9fd38830686fa9e635afcde83c0d12e74d

Observation f489e1d1-31f8-452d-a2f0-4778dede5cb4 · outbound

This paper cites Jailbreak chat.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbreak chat

Reference 2

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source=arxiv_source observed=2026-08-07T00:51:12.259708Z digest=sha256:1cd994deaf36fe6065be984949fd332af4d3441427839d8ff40ed7485269e00d

Observation 26314066-b5e4-49cd-bfae-18d455d64231 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Detecting Language Model Attacks with Perplexity

Reference 3

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source=arxiv_source observed=2026-08-07T00:51:12.372566Z digest=sha256:59938edb51c624a5d42dcfc70b75dfc428d045496a2e8fb4958fae5aa0ac8209

Observation 147ea0d0-fa22-4d2a-84e9-cf90cc15e8a6 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 4

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no resolver link, observed 2026-08-07T00:51:12.452064Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:51:12.452064Z digest=sha256:f9144f5aef28a0becc50e2e577c980bd434b1f045e7e5ab829b136257ea40196

Observation cb845684-1e0a-4c48-8ad9-bf9e2db8eb0f · outbound

This paper cites Man ends his life after an ai chatbot ‘encouraged’ him to sacrifice himself to stop climate change, 2023.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Man ends his life after an ai chatbot ‘encouraged’ him to sacrifice himself to stop climate change, 2023

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:21.101319Z

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=2026-08-07T00:51:12.537027Z digest=sha256:9b257c1dc64669770a4abcfd9743f7afbda3c4e6ebd7bc395566f26e93d19558

Observation 1b213cf9-6f47-4671-b912-e3ca114fdcd4 · outbound

This paper cites Self-Evaluation as a Defense Against Adversarial Attacks on LLMs.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Self-Evaluation as a Defense Against Adversarial Attacks on LLMs

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:12.623444Z digest=sha256:f81abaddcfda21b89671d889f44d6b0c868e62877a19140a2e05cce21a0761a0

Observation 69243559-1075-4b96-844a-4b9ad1f446fc · outbound

This paper cites Defending against alignment-breaking attacks via robustly aligned LLM.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Defending against alignment-breaking attacks via robustly aligned LLM

Reference 7

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no resolver link, observed 2026-08-07T00:51:12.713377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:12.713377Z digest=sha256:9fc1092518c4d67be4dd89b9de398c4da863f124bd862b51e71757cc27d3ece1

Observation 25a57ed3-c10d-40b1-acd4-43c05457a424 · outbound

This paper cites Defending Against Unforeseen Failure Modes with Latent Adversarial Training.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Defending Against Unforeseen Failure Modes with Latent Adversarial Training

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:12.803278Z digest=sha256:2d910467333c441a421729356df09221fedfe3a3a3c8efb692b0cb851b27e2ce

Observation f6fa1b9b-6103-4470-899c-91d1e6760f53 · outbound

This paper cites Jailbreakbench: An open robustness benchmark for jailbreaking large language models.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbreakbench: An open robustness benchmark for jailbreaking large language models

Reference 9

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raw_fallback, observed 2026-08-07T00:51:21.080126Z

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=2026-08-07T00:51:12.896077Z digest=sha256:28bf354e6c9a9b8c4e2cd84369436aaa83ae35282afccda51b017230e4588845

Observation 03224b36-991f-4abe-a018-ec65c0c01ad0 · outbound

This paper cites Jailbreaking black box large language models in twenty queries.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbreaking black box large language models in twenty queries

Reference 10

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no resolver link, observed 2026-08-07T00:51:12.987949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:12.987949Z digest=sha256:a1be8c8c766f4f3f82eb77dc8613e6b49e10bfdd2d61b9f2c0f9cea72ea6aa0c

Observation 35d23faf-546e-4325-80f3-e34d7dbfa577 · outbound

This paper cites Secalign: Defending against prompt injection with preference optimization.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Secalign: Defending against prompt injection with preference optimization

Reference 11

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raw_fallback, observed 2026-08-07T00:51:21.048887Z

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=2026-08-07T00:51:13.068197Z digest=sha256:c47f87626d095c17c6b592488ad83aeac751b8d69248a2a5aa9f2fa2f364381b

Observation 2f5e76b7-4496-4f3a-bdaa-b1f58f3101e9 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 12

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no resolver link, observed 2026-08-07T00:51:13.135722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.135722Z digest=sha256:4d874531f8ab8b685dff4c6a221f18c3a9a303f8a7945e30f898be0a555ac0c8

Observation 3f9f90cb-37a9-41cb-a017-4e726dced87c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Training Verifiers to Solve Math Word Problems

Reference 13

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no resolver link, observed 2026-08-07T00:51:13.219044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.219044Z digest=sha256:a6a7c7101ea6d235c3c033a14224d7f5c405797970226c4b89f057470c2381c2

Observation 97b40237-dc9d-4493-8ffa-4d4640870fb4 · outbound

This paper cites Unsupervised cross-lingual representation learning at scale.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Unsupervised cross-lingual representation learning at scale

Reference 14

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no resolver link, observed 2026-08-07T00:51:13.285840Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.285840Z digest=sha256:169bd18073ef57634b8fe7ba838f52080212a503e4d13ae0bdfadbe7eddf87c2

Observation 326ab2c2-cc5e-4c24-a545-a7234f74447e · outbound

This paper cites an unresolved cited work.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-07T00:51:21.033341Z

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=2026-08-07T00:51:13.375533Z digest=sha256:5bf493cfd79a8016054a952e2ff7d00d98882df9fbdc6d595819924f14d1721e

Observation b604ea45-9d0f-4d8b-872c-dc0f7479c980 · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Attacking Large Language Models with Projected Gradient Descent

Reference 16

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no resolver link, observed 2026-08-07T00:51:13.446894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.446894Z digest=sha256:8a5e6e7d61cc503162ed2e1a1d7d53a4beb28f18b100bc634fcb47408de37e98

Observation 895e0d50-d167-4d18-8560-ca8da4537bb3 · outbound

This paper cites Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning

Reference 17

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source=arxiv_source observed=2026-08-07T00:51:13.486563Z digest=sha256:0b5e565da56997b3735d8f071290464cbeedd6ea71b2fe346c1d59ffb5cf1321

Observation 0e306f66-3262-43ed-bffb-08144fea8576 · outbound

This paper cites Measuring massive multitask language understanding.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Measuring massive multitask language understanding

Reference 18

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no resolver link, observed 2026-08-07T00:51:13.554155Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:51:13.554155Z digest=sha256:4a42b7308a49d1a9524fc237c18601a1a5c8a7fe430af67e9c3cee7b88ec2ba8

Observation 248e56c6-3f70-48fd-a41c-9c01037a539c · outbound

This paper cites Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey

Reference 19

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no resolver link, observed 2026-08-07T00:51:13.637419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.637419Z digest=sha256:7b9a93ed754a9e1000e418c874a9f8ce293bbc4ff576b22c48f2be42a7b6697e

Observation 827b136a-77a5-438e-86cd-fc160fb6551a · outbound

This paper cites Disaster-tweet-jailbreaking.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Disaster-tweet-jailbreaking

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T00:51:21.004464Z

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=2026-08-07T00:51:13.705555Z digest=sha256:abd41435d1283362ca8b6f64dcfc205ab597ec9ff5558dab1101a0abb2d4f0d4

Observation 5c6a32ac-e799-43ad-bf00-a6efd8502210 · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 21

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no resolver link, observed 2026-08-07T00:51:13.818052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.818052Z digest=sha256:753be3bdc872667e68f184d1e7d06eda445a52c0ae9c5c9fb03861912d3e2bd5

Observation 377b48aa-47e9-4eee-be41-0e4328e2ad8d · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 22

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no resolver link, observed 2026-08-07T00:51:13.884686Z

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source=arxiv_source observed=2026-08-07T00:51:13.884686Z digest=sha256:a2e94c21c21d0c1e1fbb0c1dd4bacc89b05bf391ad33e32eb99546f72d8d7643

Observation e4fac2f2-b8a9-4f4c-a379-ba321fd7a8a7 · outbound

This paper cites LLML ingua: Compressing prompts for accelerated inference of large language models.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression LLML ingua: Compressing prompts for accelerated inference of large language models

Reference 23

Resolution
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no resolver link, observed 2026-08-07T00:51:13.956196Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:51:13.956196Z digest=sha256:ef6dd5160f1597aff22bea40e197fdd09a15bdc27b3eff15495bbfb7d8484c9f

Observation 5c675a59-edbc-4d8d-b4c2-38d5b4883d33 · outbound

This paper cites L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.985875Z

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=2026-08-07T00:51:14.030696Z digest=sha256:532120a2ded104c62f944cb35d22efb0e7f914e27555dee6c71d8b26022c1175

Observation 06f31ebc-dc8a-4328-ab4b-fad372c5bbd7 · outbound

This paper cites Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Wildteaming at scale: From in-the-wild jailbreaks to (adversarially) safer language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.967339Z

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=2026-08-07T00:51:14.095271Z digest=sha256:331bd3935ffe9cdbf434af96d8326ffe0630753e1f2998ce7fadf9bcbb711c24

Observation 9414708c-1bcc-4d8c-a4f5-0045fe104b16 · outbound

This paper cites RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction

Reference 26

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unresolved
no resolver link, observed 2026-08-07T00:51:14.208331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:14.208331Z digest=sha256:08658a65ea0f359147e286b48b09d555c02d65a73956390607655731d119dc92

Observation 38f1b166-92c3-4cfd-acb3-0c09c8e37ae9 · outbound

This paper cites Certifying llm safety against adversarial prompting.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Certifying llm safety against adversarial prompting

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.864427Z

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=2026-08-07T00:51:14.278136Z digest=sha256:d13956c6d4b0c0877e4963ed21bd3d869665c2e49cda9d45fac8443e1e1a2b09

Observation d455e029-ca7f-4c7b-b35d-5e8919c35bbf · outbound

This paper cites Uncensor any llm with abliteration.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Uncensor any llm with abliteration

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.781505Z

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=2026-08-07T00:51:14.369745Z digest=sha256:020af8934014f1ed31bd5d8df2d95906352c5e6fe3b58157f0c3a98a1b1dee74

Observation b96be9cb-eafe-43eb-900a-0210cb5a6c74 · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Reference 29

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unresolved
no resolver link, observed 2026-08-07T00:51:14.442961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:14.442961Z digest=sha256:220997750cd65164fb813814252e501c7c604446461b90aadc7c49d40b8cf018

Observation 84b889f3-af8b-4806-a2fa-36cdd139cc3b · outbound

This paper cites Compressing context to enhance inference efficiency of large language models.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Compressing context to enhance inference efficiency of large language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.619602Z

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=2026-08-07T00:51:14.519678Z digest=sha256:cf3036f9a80e1b3aca7ce7dbfc5b7ab1497fc82cd579fb0964832bad8a71084d

Observation e2e7ee43-43d4-4af9-9969-29efd5d04e05 · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Autodan: Generating stealthy jailbreak prompts on aligned large language models

Reference 31

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unresolved
no resolver link, observed 2026-08-07T00:51:14.630658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:14.630658Z digest=sha256:c8ec51de2174382f2f6febf99f874132feddc8bb5699cac0dc634a6f4c9aae58

Observation 16bef299-4bc9-4fd5-870e-fa210052aa89 · outbound

This paper cites Jailbreakv-28k: A benchmark for assessing the robustness of multimodal large language models against jailbreak attacks.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbreakv-28k: A benchmark for assessing the robustness of multimodal large language models against jailbreak attacks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.439743Z

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=2026-08-07T00:51:14.730775Z digest=sha256:6725f40b964482073865c8d24f79a2a5342ad4e88994eee7d722009e435af99f

Observation 18e830a5-1c9e-49c5-830e-f548d61b9f1b · outbound

This paper cites Whoops, samsung workers accidentally leaked trade secrets via chatgpt, 2023.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Whoops, samsung workers accidentally leaked trade secrets via chatgpt, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:20.202986Z

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=2026-08-07T00:51:14.876349Z digest=sha256:a0031a6c9ffb67fcd56ecc0de92010824865cf34392dcabc4f22340ab9f653da

Observation 4c1be3ea-459e-4f2b-b03b-57f739af2809 · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Tree of attacks: Jailbreaking black-box llms automatically

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:19.894291Z

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=2026-08-07T00:51:14.957413Z digest=sha256:37bb2d4074fad874ca95c687148782845fd9fe4727fc0423c8586304063b3899

Observation 764837be-d5f6-4ddb-87ac-cbc9ea754d0c · outbound

This paper cites Vicky Zhao, Lili Qiu, and Dongmei Zhang.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Vicky Zhao, Lili Qiu, and Dongmei Zhang

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:19.523449Z

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=2026-08-07T00:51:15.060377Z digest=sha256:50f4505dddeb77079582ba18f146db02c7c6501c8e9c416cb221fdb2c0fbd788

Observation f13318f7-9d9b-43a9-85a7-4a8ca417ab61 · outbound

This paper cites Llm self defense: By self examination, llms know they are being tricked.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Llm self defense: By self examination, llms know they are being tricked

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:19.310019Z

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=2026-08-07T00:51:15.103996Z digest=sha256:a53b9849306efd02e0de9badd2641d7fb59ae13d998bb92b144299d3fc26747a

Observation 0cc4225b-3b8b-4530-a3c1-a9337ad483f5 · outbound

This paper cites Visual adversarial examples jailbreak aligned large language models.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Visual adversarial examples jailbreak aligned large language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:19.063474Z

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=2026-08-07T00:51:15.209649Z digest=sha256:3ad841b1b52d029c09e4b0b126cd17836e47efa7932f12045b6406903db7d778

Observation 48d788cd-28d7-474d-bf47-f2b11d731344 · outbound

This paper cites Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI

Reference 38

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no resolver link, observed 2026-08-07T00:51:15.291406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.291406Z digest=sha256:69ce78fb399845b8bb9563c19a1a11cdae0b00f3632f63397df78cdb204df1fc

Observation da9f398d-fc48-4c1c-9fc2-75f43959fecc · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Gpqa: A graduate-level google-proof q&a benchmark

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.423377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.423377Z digest=sha256:dfd676cb7dec6ea575de5ac84d2ab3c36dde589a7100cff47b4bf6dc5178338e

Observation 87cace88-da85-435a-be2c-8c912a16319c · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.538793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.538793Z digest=sha256:f09c58cc96a252218dc04a511126386a4369f015ad290172697e2af7198746a1

Observation 4caf03b7-64e8-467e-aa4e-56422e420bb6 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.645320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.645320Z digest=sha256:b3644762129e939dc19aa5ec2cd86c14fe689fd97a5beed88455d13bc87c26e8

Observation 6dd622fd-0bb5-4274-94fb-a181352e29ee · outbound

This paper cites Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.725633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.725633Z digest=sha256:e020a0a5c77e337ed907b28204b7c4c1de0c66eb908f9a445e8a68385ea3f330

Observation ebd2e3a8-424b-4c80-bd39-4c7fc7cb5cf5 · outbound

This paper cites do anything now.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression do anything now

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.830933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.830933Z digest=sha256:2ebc1525f94d4fe1ea32bd3a6dd2cfe2c0a9fd5a8fa17c333e6991e8372e1818

Observation a47cef48-d024-4d6f-b0d9-0a874c8b7f6f · outbound

This paper cites Hashimoto.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Hashimoto

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:15.922905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:15.922905Z digest=sha256:aeb433eb65d44d926c42e9103fc637bd27073b6567c24346c540afbd2ef9b02a

Observation aab340f4-45dd-49f3-90fb-fabd62f572e1 · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.023673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.023673Z digest=sha256:84e48386639698ffac926e3e5e8e98757c8d247258781cce9958bb874e9148aa

Observation d7f9f0db-eb93-48dd-a65b-b4b551a8985f · outbound

This paper cites Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, D.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, D

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:18.794631Z

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=2026-08-07T00:51:16.132721Z digest=sha256:1aecb42a31bc697a2e1fa59db7d34d3a7446e0d01f3ecd2c2e896bbed2f3d0c0

Observation 11f9dcbc-aef6-4846-97cc-a344d846d212 · outbound

This paper cites The art of defending: A systematic evaluation and analysis of LLM defense strategies on safety and over-defensiveness.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression The art of defending: A systematic evaluation and analysis of LLM defense strategies on safety and over-defensiveness

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.249173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.249173Z digest=sha256:b8c30868942c67b4f254494c003d52407f66f67c9f23aaf37e27632d3a9f15ad

Observation c9161acc-3971-45be-b16c-cf948c7ac867 · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36: 0 80079--80110, 2023.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36: 0 80079--80110, 2023

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.359520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.359520Z digest=sha256:454cd89db0469ea6e01abc04b9bc3792abf5e83a25ea266a60f69fcd5ce81be2

Observation 413a4647-048e-4441-9371-c7cafcb571e2 · outbound

This paper cites S afe D ecoding: Defending against jailbreak attacks via safety-aware decoding.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression S afe D ecoding: Defending against jailbreak attacks via safety-aware decoding

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.432787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.432787Z digest=sha256:de74e00d46a8cd90f4a754425d771815d2b211277610e84a959d826c33563b90

Observation 18e9970a-9821-4ea5-8785-6a6c1e4b9e9a · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.537098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.537098Z digest=sha256:0aea129223a7944c486727e8e0b8766fef97171bcce0d79b35f9c13759667abf

Observation cb7886b4-1e26-4aca-862a-fd139d5c1143 · outbound

This paper cites Rigorllm: Resilient guardrails for large language models against undesired content.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Rigorllm: Resilient guardrails for large language models against undesired content

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:18.572531Z

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=2026-08-07T00:51:16.647332Z digest=sha256:14308da9077a69002cdf513f4445894400ea3e69607f3ef2af9a5d4ed6326367

Observation 0f3f3c27-474a-4b3b-b61b-6f317dc50678 · outbound

This paper cites How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:18.361528Z

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=2026-08-07T00:51:16.733150Z digest=sha256:7b464b78202ba8475ab643d8338708a1b4777fa86288260c092417562227cfd0

Observation 96fd0665-3084-4a7e-82af-daa38dcc1b51 · outbound

This paper cites AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:16.836659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:16.836659Z digest=sha256:0ec7b2943bce13850be7dd777a604c39de94e4c01b4e8bf3ec9e9d124270ba38

Observation b12714fd-2706-4a8f-8621-ab7bfaef5d1d · outbound

This paper cites Intention analysis makes LLM s a good jailbreak defender.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Intention analysis makes LLM s a good jailbreak defender

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:51:18.152088Z

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=2026-08-07T00:51:16.932458Z digest=sha256:7ee7830928225838f95a5948ed97c309a51119907b16163ac537674676d13e63

Observation 6dbf2248-967e-4e18-bcec-1529caef66fb · outbound

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

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:17.027160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.027160Z digest=sha256:9b0cde4fb7d238fcb61edb7f519d0b40ae833d0febe5a03d4518eff2cd9fb95a

Observation 61b06e34-8908-4d18-9a28-976c6ff296cb · outbound

This paper cites @esa (Ref.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression @esa (Ref

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:17.136097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.136097Z digest=sha256:0e63d41dfd3d3dda71f2d9af9dc2a4984030f95f4150b816e6b3de855d9029a4

Observation ebc5b558-5d05-48db-bd47-dc84be8b9f28 · outbound

This paper cites an unresolved cited work.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Unresolved cited work

Reference 57

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unresolved
no resolver link, observed 2026-08-07T00:51:17.232839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.232839Z digest=sha256:e4dc17e78fc033eb00a22aff95ea35a9a48b264c4e35738e69a855d6ebd632d9

Observation 8143df8a-b0ce-49dd-bf9e-26453b94e2a9 · outbound

This paper cites Ambiguity.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Ambiguity

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:17.376587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.376587Z digest=sha256:5894b16d3e0d533a5ae8747632b7cbbc3fdaa953be18e746b89964aa252b5952

Pith citing papers

Observation 78eea0d0-1fe4-4800-b901-e33be6914de4 · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.740006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.740006Z digest=sha256:58318b0762b9abd3a6e5e4cd131aa71c887727cf89d8acca6610c5f3abf68085

Observation df1974b8-814b-4282-b00b-bfa6a7344c55 · inbound

Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation cites this paper.

Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:51:33.363099Z

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=2026-05-22T12:46:44.819224Z digest=sha256:c85e63e4449591a320db3c91ab1e4f7e7223bdba3208444463e511f90034862b

Observation 4a95b1bd-351a-49d4-9c69-64c0710fefc5 · inbound

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks cites this paper.

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:00.786991Z

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=2026-05-13T17:06:46.917177Z digest=sha256:2de82ae06af92b38218f68fc562512b702bec34ab1938e6295fbf1d57ae70dc8

Observation 611ce5a7-5f92-40cc-ab62-57dc1a310da4 · inbound

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs cites this paper.

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:35:57.317171Z

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=2026-05-10T18:04:05.157103Z digest=sha256:def88d5b995d93c37148a07e6dcfa6b86be6b8298f83e33b1e1b87a3b0ac8c45

Observation 1784d372-d12a-44cc-a282-e3e6a6cd1943 · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 193

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:25:32.933322Z

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=2026-07-01T08:17:10.481202Z digest=sha256:e57ed59aa885f74d3b7febd891f387ba1e719df06b823d95ad711006f9c95c4d

Observation e49c6208-7c87-4509-8609-7c19ad7b1c60 · inbound

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T01:16:14.920942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:16:14.920942Z digest=sha256:5163bf7caa753b4d059af07c395a6ac99dcbf923225c71fd4c23cfac244f2101