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Paper Citation Record · LEDGER

InfoFlood: Jailbreaking Large Language Models with Information Overload

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.12274.

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

pith.paper-citation-record.v1
2506.12274 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:31.476445Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T17:49:42.112564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:51:41.877221Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4599e56b-8c40-45b2-b42c-c3dafba462cb · outbound

This paper cites write newline.

InfoFlood: Jailbreaking Large Language Models with Information Overload write newline

Reference 1

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no resolver link, observed 2026-08-07T01:02:27.992361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:27.992361Z digest=sha256:e058d07b8720698b90be5df525620b6ab55522254cbb16bff41cc4e215331dcd

Observation b590bac7-7219-4e38-9bad-ab644bc47292 · outbound

This paper cites Llama 3 model card.

InfoFlood: Jailbreaking Large Language Models with Information Overload Llama 3 model card

Reference 3

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no resolver link, observed 2026-08-07T01:02:28.089322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.089322Z digest=sha256:5c630f6fb25c7a0826369ba8c75f129678f633dbd82c7dd78f440c571619379b

Observation fb56c737-8c7e-4b8b-a525-fc7ba42f9a2f · outbound

This paper cites Does Refusal Training in LLMs Generalize to the Past Tense?.

InfoFlood: Jailbreaking Large Language Models with Information Overload Does Refusal Training in LLMs Generalize to the Past Tense?

Reference 4

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no resolver link, observed 2026-08-07T01:02:28.139129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.139129Z digest=sha256:ee0837af94f84708bfe53e777688844cd7f3b3566bd370df93f592b8244e23d4

Observation 45f4c9b1-61f6-4c56-ac0e-972d3aa5399b · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 5

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no resolver link, observed 2026-08-07T01:02:28.219255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.219255Z digest=sha256:78124c377d2316cba44fef064a7390fa8f11b7ad7e49849b29edd7c1606e744e

Observation 9955a0d8-e12a-4bdc-96fc-35040173a9e6 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

InfoFlood: Jailbreaking Large Language Models with Information Overload Constitutional AI: Harmlessness from AI Feedback

Reference 6

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no resolver link, observed 2026-08-07T01:02:28.245895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.245895Z digest=sha256:f7ff72cdf7182c1ed1f6ce1925d5974d2b200dde42d4f859e8cb364108278aa2

Observation 73515443-fb14-4a2c-a2b8-88982c43a6ba · outbound

This paper cites JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

InfoFlood: Jailbreaking Large Language Models with Information Overload JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Reference 7

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no resolver link, observed 2026-08-07T01:02:28.336517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.336517Z digest=sha256:246854cbce40d31a29e1728203baa2c9561adf2bc4d90bf2c75fbf9862b4d7a4

Observation a2e4e2fe-c1aa-4c48-88da-f4468050bfcd · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 8

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no resolver link, observed 2026-08-07T01:02:28.376924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.376924Z digest=sha256:b7375553ccd7549ec64d159059dfde180f6444f4cfdb31e614c16641c8f20633

Observation 92da5a23-91f1-46d2-80c5-233ed4293158 · outbound

This paper cites JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs.

InfoFlood: Jailbreaking Large Language Models with Information Overload JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.442955Z digest=sha256:25626c1361c00c6e1c30f5bf831d0b72b1332097c542499e072a2cddafa76783

Observation 574d3678-30ed-4795-905f-b9ba33de1454 · outbound

This paper cites Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack.

InfoFlood: Jailbreaking Large Language Models with Information Overload Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 10

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no resolver link, observed 2026-08-07T01:02:28.494126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.494126Z digest=sha256:3b37336cc07de57e04dad193fc873b27249a065a4e66d8833769b34e0e93e483

Observation 473d0749-0446-4e7d-975c-e4f8cee67e56 · outbound

This paper cites Google gemini flash, February 2025.

InfoFlood: Jailbreaking Large Language Models with Information Overload Google gemini flash, February 2025

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T01:02:32.804000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:02:28.542208Z digest=sha256:a71fe79c7403b56548a2a779ca5b749a0595316278ad4c621e71878ffe737fa9

Observation a952a564-86e3-4215-84b1-0e5002fc8b9b · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

InfoFlood: Jailbreaking Large Language Models with Information Overload Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 12

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T01:02:28.553458Z digest=sha256:e32b3b2d78d4827c4e7e22103a8c384772a47d7c3159f52115df2b585e0851bd

Observation 883e1bf8-fe66-41cd-a0e0-11ef0faf44fc · outbound

This paper cites Endless Jailbreaks with Bijection Learning.

InfoFlood: Jailbreaking Large Language Models with Information Overload Endless Jailbreaks with Bijection Learning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.608823Z digest=sha256:0d88e3674e1a4d155c6e193260762ac3ca175fe4b72cdcbc540bf6450f50f4ad

Observation 4a6827c6-57e4-4c4f-b82b-4a02dbd4b8be · outbound

This paper cites Perspective api, 2024.

InfoFlood: Jailbreaking Large Language Models with Information Overload Perspective api, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:02:32.614286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:02:28.647062Z digest=sha256:9f867392c340ac08230f9afe684fdab1d0bf11e4260ed4f2a195d865adc3a9f2

Observation 9feef088-88b1-411c-a5e0-edf3e581e8f5 · outbound

This paper cites Guard: Role-playing to generate natural-language jailbreakings to test guideline adherence of large language models.

InfoFlood: Jailbreaking Large Language Models with Information Overload Guard: Role-playing to generate natural-language jailbreakings to test guideline adherence of large language models

Reference 15

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no resolver link, observed 2026-08-07T01:02:28.827911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.827911Z digest=sha256:42325ebde7bc615ace1f322dcdb17af32be98c3e7c19162644b52ac73708db5c

Observation 0aaacc26-e9ae-46e3-b432-fb1b3be88750 · outbound

This paper cites Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.

InfoFlood: Jailbreaking Large Language Models with Information Overload Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.929877Z digest=sha256:95131fcecb9a5d941fba02aac0c7520c3ccb46486e0f78205f774a91a86b5f09

Observation f29a9c8c-1f44-4a57-a31a-e16b4f2438e7 · outbound

This paper cites Automatically Auditing Large Language Models via Discrete Optimization.

InfoFlood: Jailbreaking Large Language Models with Information Overload Automatically Auditing Large Language Models via Discrete Optimization

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.019773Z digest=sha256:0e5620637df5bb7809071cef7058d707e5062620ab0e2ec1fd4d4101963ce93e

Observation 65c9f057-029c-4115-b33d-15030852ea12 · outbound

This paper cites DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.

InfoFlood: Jailbreaking Large Language Models with Information Overload DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 18

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no resolver link, observed 2026-08-07T01:02:29.162442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.162442Z digest=sha256:01956619557bb920866af1ca31ab9db9828549fc13448f470a8c35156d33f143

Observation 4a430d69-8ffb-4eb8-99a2-165fd2e62582 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

InfoFlood: Jailbreaking Large Language Models with Information Overload AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.259137Z digest=sha256:5804bfdc55b3f083c4f257c206ec99b7b921e84c707e7b6a5f05fc00d89c08ff

Observation 541aa07d-fcb4-422d-9be6-2c74fe02c0ea · outbound

This paper cites Latent space cartography: Visual analysis of vector space embeddings.

InfoFlood: Jailbreaking Large Language Models with Information Overload Latent space cartography: Visual analysis of vector space embeddings

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T01:02:32.406428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:02:29.359293Z digest=sha256:cbc866592dccef849dcc8010f970acf6f35e011799ba772946bc4733bbef958e

Observation 6efa3274-449a-4025-b20e-ff89ea5efc74 · outbound

This paper cites Black Box Adversarial Prompting for Foundation Models.

InfoFlood: Jailbreaking Large Language Models with Information Overload Black Box Adversarial Prompting for Foundation Models

Reference 21

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no resolver link, observed 2026-08-07T01:02:29.510173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.510173Z digest=sha256:cdbea9204d8cfef2dae388680d5e532654a4962a1d8e927637a77942cb25aaf3

Observation a809df2a-ab18-47f9-853a-35b55696cd33 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

InfoFlood: Jailbreaking Large Language Models with Information Overload HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.635233Z digest=sha256:73b0d4b81a12aa964499886bd746f7d8bd16e988e0d48a12404b335d0d3b427a

Observation 24cad203-093f-4e9c-bf12-42058fd26783 · outbound

This paper cites Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

InfoFlood: Jailbreaking Large Language Models with Information Overload Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 23

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no resolver link, observed 2026-08-07T01:02:29.718383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.718383Z digest=sha256:2f8fde340dd7596a143bf8c5e6de176db202964bdeddf61a32894fac322a81d8

Observation 10e19b5b-e007-47c4-bf0a-f615dafda644 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

InfoFlood: Jailbreaking Large Language Models with Information Overload SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.757780Z digest=sha256:69c448d35a23734063688bd2cfb993f8019149c45536f5127b8ea33737485e8f

Observation 6200ca5a-b30b-4867-b0b9-f8011ce157a4 · outbound

This paper cites Openai moderation api, 2024.

InfoFlood: Jailbreaking Large Language Models with Information Overload Openai moderation api, 2024

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T01:02:32.219003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T01:02:29.845731Z digest=sha256:9aa3828a3b236fff2787013c485aaf6ca9babf0cc80f78f0d42a661ce514e182

Observation b38239c3-6085-4789-8206-326b6f1e0291 · outbound

This paper cites GPT-4 Technical Report.

InfoFlood: Jailbreaking Large Language Models with Information Overload GPT-4 Technical Report

Reference 26

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source=arxiv_source observed=2026-08-07T01:02:29.913107Z digest=sha256:0e8f3229cbe9fbac5525f15e88826ef5888938b16dffac2b4e57be65b74ca0b3

Observation 6b8825c2-d16d-4378-bea6-e14046117ef8 · outbound

This paper cites Training language models to follow instructions with human feedback.

InfoFlood: Jailbreaking Large Language Models with Information Overload Training language models to follow instructions with human feedback

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.027097Z digest=sha256:8c6169bcaa71401c09046b014d49b709d77d883bc35f4f95cf30651080fc4012

Observation 80fcbd30-de18-44ae-81ce-192f881e457b · outbound

This paper cites AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

InfoFlood: Jailbreaking Large Language Models with Information Overload AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 28

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no resolver link, observed 2026-08-07T01:02:30.091792Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.091792Z digest=sha256:c93f3c5fe42be264bbcf7365db136476ad9417e23ed3192d1976e1cce62d096a

Observation b793d7b8-c6d6-4b08-b920-345c2a849c87 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

InfoFlood: Jailbreaking Large Language Models with Information Overload Direct preference optimization: Your language model is secretly a reward model

Reference 29

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no resolver link, observed 2026-08-07T01:02:30.174966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.174966Z digest=sha256:f725210c4c60e489a0de6bd6ddf238c739764b8223126cff2e34cf90b478752b

Observation c0c2182a-f26f-4c40-bf7f-b3bcf6a1a0da · outbound

This paper cites CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.

InfoFlood: Jailbreaking Large Language Models with Information Overload CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 31

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no resolver link, observed 2026-08-07T01:02:30.366652Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.366652Z digest=sha256:a0858dddbf144cfa51853a24486b4265d166d4e0c9bd1d00868173c361dade2e

Observation 314bd4fa-9e4f-4c90-8d5a-5b5c89129320 · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 32

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no resolver link, observed 2026-08-07T01:02:30.422551Z

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source=arxiv_source observed=2026-08-07T01:02:30.422551Z digest=sha256:0caf8435efdea2cc23834618eb3fcbbc8bcf95e28710d5dc616b38162c3826ed

Observation 5ab4b317-26e8-41fe-b82d-e552fd642400 · outbound

This paper cites do anything now.

InfoFlood: Jailbreaking Large Language Models with Information Overload do anything now

Reference 33

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no resolver link, observed 2026-08-07T01:02:30.513966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.513966Z digest=sha256:51e10dfa6e06242dee2b0ff01c05aa1151ca96ad6512d583231042c7d5662efa

Observation 7c95f0d9-0902-46fa-9095-085198e0c53e · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

InfoFlood: Jailbreaking Large Language Models with Information Overload Recursive deep models for semantic compositionality over a sentiment treebank

Reference 34

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source=arxiv_source observed=2026-08-07T01:02:30.587700Z digest=sha256:918a0435f4893e8fb0224e37091eb27f006a811631b3a4e03af4d7e495522552

Observation dbd642cc-ed8a-4ba2-8d62-f8a6c359e9da · outbound

This paper cites Large language models in medicine.

InfoFlood: Jailbreaking Large Language Models with Information Overload Large language models in medicine

Reference 35

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no resolver link, observed 2026-08-07T01:02:30.712250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.712250Z digest=sha256:1f2504f86740271066b33010431410cd649d4f547be56e33b9d75d13788154fa

Observation fcdfa2ab-2f5c-43c9-ab85-01f48fa5160e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

InfoFlood: Jailbreaking Large Language Models with Information Overload Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.756720Z digest=sha256:daeb94bfc2447d7b2c6f7a5e7be61ceb58da5fa6a07cf7b0e1e00491ee09883f

Observation 8ab6afcf-d67c-4ad8-a10a-563b24ebe579 · outbound

This paper cites Visualizing data using t-sne.

InfoFlood: Jailbreaking Large Language Models with Information Overload Visualizing data using t-sne

Reference 37

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source=arxiv_source observed=2026-08-07T01:02:30.856232Z digest=sha256:c01793daecd438336bbd720571a3daf4e0e0ac392fb60ab8d08299b941883dfd

Observation c709599e-1314-44af-9e8d-3c787a4fce59 · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2024.

InfoFlood: Jailbreaking Large Language Models with Information Overload Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2024

Reference 38

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source=arxiv_source observed=2026-08-07T01:02:30.934742Z digest=sha256:c0c7dec554fd06eac520aa28d81bbfeeb1772d9699d012be42e9dc61e77d7c24

Observation 55f36b96-93fa-4d92-8919-e1cc47c74088 · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

InfoFlood: Jailbreaking Large Language Models with Information Overload Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 39

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no resolver link, observed 2026-08-07T01:02:31.037588Z

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source=arxiv_source observed=2026-08-07T01:02:31.037588Z digest=sha256:a99aa1830050d5c88ee5854ce60df64417ce483b32643ef4ce81a84824bf344a

Observation 73cea915-73c7-46c1-b2e3-ef246887c76b · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

InfoFlood: Jailbreaking Large Language Models with Information Overload BloombergGPT: A Large Language Model for Finance

Reference 40

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no resolver link, observed 2026-08-07T01:02:31.124015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:31.124015Z digest=sha256:bb47b27d5d1fade4eb730bcaa7bb3f4675d2190b2e053cbb4f1b246451aa8eee

Observation dce94c35-f6d7-4b5d-a23d-c2fc8e2b52e1 · outbound

This paper cites Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.

InfoFlood: Jailbreaking Large Language Models with Information Overload Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:31.192664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:31.192664Z digest=sha256:7ca37a02ddd078fe3bd0c03f448e80d6c8ef6323769db3c3301d9ec784eab113

Observation 94e37423-7f20-4f0d-a15e-2c7c1724b829 · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:31.303381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:31.303381Z digest=sha256:c1c4784142dd4bfaace75bd54b9826742e2b8f28e62c5240de99e530d74e27f3

Observation 9b10db3e-a698-4987-a2eb-a75b8bdc3bc4 · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:31.370445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:31.370445Z digest=sha256:16c9f16ed5ecda5d433ef3b09a64645dc65c3bfdb98b41a2b3be3b349edbc70e

Observation 73804334-59f5-4743-8987-c8ad397573d2 · outbound

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

InfoFlood: Jailbreaking Large Language Models with Information Overload Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:31.476445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:31.476445Z digest=sha256:2a8a803c537765c098a6b35dd4061576baccfee835887d5589c0b5d1f1fab161

Pith citing papers

Observation 37cb36f4-60e7-476b-856c-01c913c0bbe7 · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain InfoFlood: Jailbreaking Large Language Models with Information Overload

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:51:41.879269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:a7e7771f9cf77c499032f3ae3d0e64ec2f76f28423b1db6d6a4cfa771f8ec0be