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Paper Citation Record · LEDGER

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2501.14073.

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

pith.paper-citation-record.v1
2501.14073 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:26:45.002665Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:33:07.497989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:44:55.118959Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e79deb81-c4d4-425e-a182-03c3e41122b1 · outbound

This paper cites GPT-4 Technical Report.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.705756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.705756Z digest=sha256:851c1aff6c3f0fa019cccd99bac585a2f9a3e997786865f07aaac0338652014e

Observation edaad7cd-25b1-4988-90f7-d09c9d5fd1ea · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.968861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.711596Z digest=sha256:ec4f1333ae1a9075960a46dd2b2009af35dd2105ffb692a5f5e70b58548bbf95

Observation 29f940cf-ea5b-4eb5-9ff6-035bbce956f8 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.951126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.716639Z digest=sha256:08383c1325cc4137a4e530a6306ce8c9fd705fe5a1272530f99b7451fd36a12b

Observation ba54841a-cfcf-4f80-92d0-ac92bdffa60a · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.721946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.721946Z digest=sha256:103196b867cf4b294f6d3783532bcc0d96c89f3541e8a5eec4a16334b45b09b0

Observation 4650de60-f2e4-44ff-ba58-45a2523ecb6b · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.934660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.727357Z digest=sha256:fc3c7dabfdd1a41e9cd3d22a179cf5b5554511030b03eee8d674b411ece56d92

Observation 3dd11cb7-2770-420e-bc5c-8fa45bb116b7 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.917476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.732581Z digest=sha256:a629320b1d7d3775c9302f849993624565e195a091c991450ea6a38045a91d61

Observation e98bdbc8-e101-4a3f-b04d-0fc83a2a3989 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.902049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.738329Z digest=sha256:ad9529f8a9af2113b62d639f0aeeb30c3ee0e1a185198a970f1ae5ec9d36c888

Observation 0a954d69-e687-461f-a019-5acf8a5c1f3a · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.885944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.743906Z digest=sha256:c55c3cbcc70908aae986416c02e8208259ff7ad09d3a8f040d6a489b0d65ea29

Observation 462ba362-ceb9-462c-9aef-af311e3e0027 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.749673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.749673Z digest=sha256:974c8cde978674a0b00dd26bbb9d9f35ec37ef2335bc5407cf10fccb4c2d2b9d

Observation 9d903e46-d407-4eb3-b567-7302638bb2fa · outbound

This paper cites Multilingual Jailbreak Challenges in Large Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Multilingual Jailbreak Challenges in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.755746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.755746Z digest=sha256:192abccabeec612a7018fdeab4f540f6c2c01a8088b8208409cc1157fe7a466a

Observation 2afd8d45-dd9e-4c55-bc1e-b3f9c6c1be48 · outbound

This paper cites Toxicity in ChatGPT: Analyzing Persona-assigned Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.761325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.761325Z digest=sha256:6c552c88009a0a97800bf92a0873ae8b7445c4cdae6705ca3bd572416463bee7

Observation 539772e5-607e-4778-9bf8-8538fe4a525c · outbound

This paper cites The Llama 3 Herd of Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.766553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.766553Z digest=sha256:26f3d16872f37e25d03917eb8c3b7333d15e233ba0250c432e254ca8313986c5

Observation 94480272-e09c-44b0-b7da-9fe6022ce3e7 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.859327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.775601Z digest=sha256:4653db20af4324fd2593b89b43d314b2cd69dce29c3bf3de936b32fe52c97a72

Observation 449b55f9-84ad-4c13-9e78-eb5288c72385 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.843843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.781100Z digest=sha256:2cf56307229222c62767adc3ed6af0b25ecdbcd886a504191e6b9ce1881d7131

Observation 7a0d586c-f8b1-4921-8ab3-218ac8518900 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.827044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.786153Z digest=sha256:06543501ff0512f4088bed59099b774accc12935b1a8ade2700cc4a6d6358f56

Observation 191faf10-1bf4-42ed-add2-00d336cfce0b · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.791246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.791246Z digest=sha256:798739a68f97b78db2e05108c2cd1e36362a4dca819ff98b3e2e2ace4ae981a9

Observation 0c6074d2-5891-4be2-8b49-4fc6a59d6c8d · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.795996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.795996Z digest=sha256:f2d197fda63c6bc50e56fc3c843e626ebe158e9baa22e9c4c5b0d261590ebd3a

Observation 378d74ba-fbfc-44cc-a81e-aff3704550fe · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.797994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.801113Z digest=sha256:ce54d30f407997051228218e5ff4a0076e0177680c65da1b6ad7cef23c807757

Observation 4a0845f2-baa3-4b2c-9eeb-9907478e090e · outbound

This paper cites Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.806667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.806667Z digest=sha256:158607cc2f192bed247e61a0277dc261fb96cd2511bf153be87248878c341003

Observation c58a4fe0-9b4c-4478-91a6-d1638a2d460a · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.779701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.811843Z digest=sha256:17c8367b60a85114c76eba3d46eae296236938d6d5ea2f2d3a7e7384aa132b12

Observation 3c133b49-b33b-4b15-8d70-cfa1f086f38f · outbound

This paper cites GPT-4o System Card.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language GPT-4o System Card

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.816636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.816636Z digest=sha256:2427919d1d25f080d08273863de901c2c6546d1169f459f2d3b9517b2120a569

Observation 65e8feaa-6cb8-4bcd-845f-1d0f24ecc1ee · outbound

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

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.821622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.821622Z digest=sha256:2d5f802f7f03d4fb6d23940a5e5474cd021ec0ad83bf5995f831a01a47b4e8d7

Observation 0fb3976d-72b8-442e-a8bc-4c4750727bfb · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.761663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.826436Z digest=sha256:e2cddc77a3033528bc61d1ad210bd0daa2f0b96d4118a9748d24051b227c6388

Observation b36e5c73-a319-4c6b-a7af-90fc3d8cbad5 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.745082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.832071Z digest=sha256:db69db24bfb59898657df483268ae3e0578380f1329a461b073f5f428e87e608

Observation 222aaf8b-dc86-4da7-b2db-035aa71a7aec · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.837089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.837089Z digest=sha256:ea562bc612d1c21dd7f459fb750a292f3c99dfc4d82c85381a2295eb6aca3f3b

Observation 54e296c0-deae-42ec-9dd4-476a3b175d00 · outbound

This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.842059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.842059Z digest=sha256:d12588ebf4c515792acdf0a4d05f260dd59c7f60debab4a48f88015b704d8f31

Observation 607fd7a0-ed71-425d-90c1-346096314bd6 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.847720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.847720Z digest=sha256:cc7161f9b5cbbd7b1546784d2c36e0066a9ba7be1124455c4cc94f416a66e293

Observation c3ea4937-6540-475b-872e-d78bccc94feb · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.715828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.852796Z digest=sha256:08399c5aa41824312d7c880d98ae37818a33707628d979e556ec0313be9048cc

Observation 80e3d4d2-36cb-4865-bd51-6b2d4323419a · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.699383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.857742Z digest=sha256:882a368af9c69b223e46724c8545c2026a059f61c0b749bc8887cefd18959585

Observation 7cfaba5e-40ae-4134-a4b7-9a071d9e7699 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.862309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.862309Z digest=sha256:9cbeca5a63f67c451e7875ecdceb5688aba0ff3a2741180c7d8bf07ce4e2c3b8

Observation e6afe979-2142-4d1f-89b2-f9cab9be124e · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.681891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.867267Z digest=sha256:0a4db58bfe2f6ca5a3f4f64c148bd8892bd2adfd294c85690f18008670326b91

Observation 8b184632-d3b3-4e19-b9d6-42a97bec443e · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language StereoSet: Measuring stereotypical bias in pretrained language models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.872643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.872643Z digest=sha256:e7869241f6dea70b44c136481c797beec867fa3c4ed04ee07e71877eb8e65ebe

Observation 74af5dd0-b8ec-44b1-a527-7e05865cbb59 · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.877975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.877975Z digest=sha256:d4976296f6359c92e730fafd130e9e41043d6f66406578ab1c2f656c1c9eeb50

Observation 60096014-cf00-4bea-9a4a-e62085e6d5be · outbound

This paper cites Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.884070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.884070Z digest=sha256:c8efb1fc60d0d0a65d288257275a1bc8e181c8b1f57f65e4abf96f12abf0fc64

Observation 48da9f4f-fb8f-4711-a158-8bc611d31050 · outbound

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

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.889820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.889820Z digest=sha256:d49ac0d1bbca465db6ccc6edd526933837ca608b979a126725ff89d48a9310bd

Observation 5ad5612f-5f2b-46dc-bac7-3e9bdc78fd2d · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.663777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.895484Z digest=sha256:3e3fa3560657478d342d49160eab1f4c77eccb1bf7f512c797b25f1d8acf5e74

Observation 38e32446-eb6b-4852-a28a-a68f2f087e26 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.644083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.900789Z digest=sha256:bde2c31a7d82c4e086b0e1ee7f3d86ccb72e5707c7672d3f8ee4765f65bce9de

Observation 028f838a-3bdb-40a4-89db-a8c365983619 · outbound

This paper cites Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.905639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.905639Z digest=sha256:e4723ff9bd949a1f44972aadef9ca3ca5519e61d45f679e8e757a42a85d57906

Observation 5d9e8f4f-fe7c-40c1-b8b1-ccf457588de6 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.622993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.911078Z digest=sha256:48e564a6e262c8bf9e9a745e4be9aa2c92cd3f860dd4422b0f685234509766f2

Observation 1d565364-63d5-489e-a877-a6bf50a03be8 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.604322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.916097Z digest=sha256:d0b2e5ec6a0b7356a359c29a6e3b3863eef41a375bc0fb4062c27431f3437553

Observation d58e5258-7d76-4722-bec2-7c184161535a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Gemini: A Family of Highly Capable Multimodal Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.920901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.920901Z digest=sha256:daab1aeb202ade1fe120a811d03374df20e408c2f47923867089881614645b70

Observation 34bd16ff-426e-4dc2-9ca3-bcca31d08e55 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.585497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.926115Z digest=sha256:659589b02ef71256c706e482600b48aa7c3276290e10595a22350cae308f6c24

Observation 40097a49-5464-4fe3-b99f-25c91ae9998d · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.935866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.935866Z digest=sha256:05d0a2f762ce2e43b289ec6219dbfe25d960a7e0df10caba52d5ed70fd53932d

Observation 06dc8f2c-63d4-41b7-afe6-c844e67114d7 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.557778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.941147Z digest=sha256:9c0165bdfdf932d08074dd7a2f25ea149823c43312ec1ddab515d7b31dc27059

Observation 76b44438-9997-4a01-bcf7-8315e95f5337 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.946131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.946131Z digest=sha256:dd6113ad7dfb3607e13142545e8d02e6fe54da98292a1c2614063fc6f3c18639

Observation 61fc65f2-2fe9-40b7-a9c3-0bd9406ef35f · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.530317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.954086Z digest=sha256:f376257caca58e2455cdb2b98d4cde55428a706110e75cf35cec3a1ec051f748

Observation 1c9b9164-c843-43ed-a9d9-bee30eb3b6b6 · outbound

This paper cites Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.959754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.959754Z digest=sha256:1105276737b7f1f23c487a838f60a75460351312f61802e20214a7a540d69a2b

Observation 34195a89-002c-4de1-8b08-2cfc602de11c · outbound

This paper cites Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.965317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.965317Z digest=sha256:a1b5afd26baa5df68aa8ca09ae362ebd49a53bfe56a28e7188168f24e16a21f5

Observation ab0e4c58-72b3-43b6-b007-7493783cc313 · outbound

This paper cites Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.970756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.970756Z digest=sha256:df04da312e3e9f7baa5698081037103fe60c78fdacffe3f6fbf4177ae6fb45a5

Observation a4b6d9ad-6eca-4bae-8153-9593de4dbab4 · outbound

This paper cites an unresolved cited work.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:26:45.512316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T15:26:44.976213Z digest=sha256:9ed92df017343787d49a188f08810ce13b0c3dc5af0955e24926964fbc44d85b

Observation d1729677-0533-44d4-922b-4874f4d38f52 · outbound

This paper cites GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.981699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.981699Z digest=sha256:70319e1acf86d03a9f30ac97fd4d9802a44a1403d9885cfa1661b96af8180d7a

Observation 5411edb4-b80f-47d5-bd06-6375f5e47221 · outbound

This paper cites How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.986606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.986606Z digest=sha256:c9c527dafbf8a51ee23c6fa17c8f9e4f06762c5410f8f063fec7fc66204d5a4b

Observation 43be8259-9eda-41c8-9c75-b4f0b336f598 · outbound

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

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.991669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.991669Z digest=sha256:b6e929a136b860f2bf2e97378b7a27e04855163be8cc9baebc15bcc8d1026758

Observation a4771f75-aa83-4274-895f-325f5aadaf71 · outbound

This paper cites online" 'onlinestring :=.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language online" 'onlinestring :=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:44.996754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:44.996754Z digest=sha256:4ce161ff7f3a6f6dfa73a5c4815f083d3cdb41b80c22bffb227db9ea442d9a25

Observation a791645c-4542-4031-9eb7-6294651316de · outbound

This paper cites write newline.

LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language write newline

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T15:26:45.002665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:26:45.002665Z digest=sha256:2f41110cb340181e3277e29b04c992460a6ebe9d401a8faac624668391a1b3ca

Pith citing papers

Observation 5d77059b-ab7a-4eaf-bb90-026755e62fa9 · inbound

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:44:55.121514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T14:43:19.221814Z digest=sha256:f024b4b10b478840ff36c2837bd0573dbd52c61b79d19f371aa5bee49f305e40

Observation 192fa0f6-a9e8-493e-972d-abd875d5b724 · inbound

Bullying the Machine: How Personas Increase LLM Vulnerability cites this paper.

Bullying the Machine: How Personas Increase LLM Vulnerability LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:33:07.497989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:33:07.497989Z digest=sha256:345057d7a1770fd53e7e38b5b6518b011ba9f9166c9f93bf90d9b45a6ab968bc

Observation 262679ca-0a82-4d45-8ee3-5f6e6e274c4c · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:27.404814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:27.404814Z digest=sha256:d4eb33160fbf43074a6df35de0ae2b60d485a7b385ae078fa4ec09963ec70285