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Paper Citation Record · LEDGER

InfoFlood: Jailbreaking Large Language Models with Information Overload

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:2e5cc968fb7b0f3f9c8871b1fad1beccfaeb1007e87b38f7c03e82ca4f7c15d5

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=sha256:81ad87644ccd75b2b6c81913dafa20c6a2a757edd3731e190c90f156b7b1aed7

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=sha256:546cd4bc11ad5f47ca8668b4df298d7bd0e15fa591dc4d95d013830eeb20270b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.219255Z digest=sha256:492bc7cb68d7b72fd25c001111c7d12e678d61faac9cb8cf5475b13c103b8914

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=sha256:32e348d8d2347774147ad7fe72d7a58e540d5ae6776943d6b60013f5794b7c17

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=sha256:74e2f8ea59967c5244e77a25a33b2099618343549b23226676fd6bb07ab7efdb

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.376924Z digest=sha256:d477b6ced271c31d97eea5f47d091fcde1ff926aafdcb8d669b4b4e6839e5aef

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=sha256:4839e051007d9caa09c8c326a48b59d8962e3cb3700d51598e8ada3a5cfb1c74

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T01:02:28.494126Z digest=sha256:3eb9c134409dcde649863ba2e568a0c76897870571971601559817d778c77ee2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T01:02:28.542208Z digest=sha256:02ba840dc0fe3dac78daad468581e653200dfa82a3fee258e85c95589b4c6c9f

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=arxiv_source observed=2026-08-07T01:02:28.553458Z digest=sha256:041a1bf790114c770a645d314a2c772ae9b1aa0f1c0cc1d7983d7a06a188f01c

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=arxiv_source observed=2026-08-07T01:02:28.608823Z digest=sha256:9c24648737050c09a79ef00edcd2f771df7a1f327ea5c7fa2447f5002e2383b0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T01:02:28.647062Z digest=sha256:23d207201599d5cab783d399df6b85ff8c624de362478524f5916f2f619c66ef

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:28.827911Z digest=sha256:8bd202800b816cc8db04176e13e651122401da9af243a9bc06880b72df5b460b

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

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source=arxiv_source observed=2026-08-07T01:02:28.929877Z digest=sha256:997aee4cc002f404fbcf4a9aeae736cac44c8fe807011ef3c82798a8d031107e

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:e961789b8c7d38b020cac036b1b935b1fb41bc74ec4d33d1014073a1778e32ae

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.162442Z digest=sha256:769d4ddd39b102ac6b7acfb31acfb05c40f9330498909f4a81f8373281e9d7ee

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=arxiv_source observed=2026-08-07T01:02:29.259137Z digest=sha256:ad22898678a2fbca26cd8a25fcceacb01c671a86ccb2815930a9ad94489c3997

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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T01:02:29.359293Z digest=sha256:c451b5fac7910e289a2579f2af3f427d73090ed1c907e50702ad77f2762fa950

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.510173Z digest=sha256:f0c771353f100761052defcbfd3e043b26245177ea9a0715042b032d33033737

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=arxiv_source observed=2026-08-07T01:02:29.635233Z digest=sha256:af4c8807565b50b4f4b52bab5fd8789b134faa9985753def5f972733abdd0aa2

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=sha256:55fb44e84e732b6887b58a638110282f3cd911512f1abd24141025966b808c5f

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:29.757780Z digest=sha256:3e6c6c6a19da190f35687f43124c1da0e9e31c026c524ed1fbfe2556fe4032ad

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T01:02:29.845731Z digest=sha256:97b1d49b53b5e3d7eeb5e0e450dd87a9471e2f47d71917e0fb52e4acadf61fe5

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=sha256:6ebd8a3fe2a42b061d57642537b81a3896f7a61a121fb0df80e2dd8216ee81f7

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=sha256:219c70978438c7383990abdea6de5e573cdab4133e14383e472292b37278bc12

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.091792Z digest=sha256:3dbca5a88b3c8d23e2bc83f42e8cd7d65c543fcbf8753efd3cbac5683e43107c

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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source=arxiv_source observed=2026-08-07T01:02:30.174966Z digest=sha256:04ad01fd55b6d0bbb03d4717c202110bfc48433515e840bda3b8f0cea8345e3d

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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source=arxiv_source observed=2026-08-07T01:02:30.366652Z digest=sha256:3f558e1fe798376b593632e681c645c2f3fc7e50148e5144333b12a83360eda5

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.422551Z digest=sha256:d36f77557fd441bcce8e1f41e0089dae3bc745c505f5070d96ec854dcd0c045a

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

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source=arxiv_source observed=2026-08-07T01:02:30.513966Z digest=sha256:1b008a89a17a1e2acee5cc7beb121c6403b75a6991cffc6d964119697b8d1be6

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:fd63eb21a8f16d4c4556da362314087a70a64be0b18d8c737c5b13fcf2e48c04

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=sha256:7d8af2f51745aafdc613b9a1f95726aa2074df4a64c3e1024cd60737db4f5da5

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:adb1bac31cf7c4198c50e65594964b33049057c2fddbebf2c174f203422d7983

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=sha256:68bd081b0530627733fd5b500d5d583c54167ac85233363ebaa670b7f0737d6e

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:d56dcf529b98643b3e55bf1330a6ffed2ac47681162233bf4c28f29fd80bb2ff

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=sha256:5df32941ccd58f97db57c4501187f16b8377ec0559dabca2e3f76f09c6976937

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=sha256:65c2ac2fe96aff782ce7b74d2e3fdb82df90502b7e3e7ecd550ebb68a7035fbc

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=sha256:2064f4fad2e28bbea570403eba4df6b82b2cbf23f36c8570aff99b59377807ac

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:fed6e560e97a7ac98151e971f815c8ad9d3c90085c30d3d14b15b0bcf00376fb

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:e4bf6c3bbf04b67e1ea767551ef6024ffb9728ec0b40dc3da58b423aca1123e3

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=sha256:263a614b914dbb2f325b17d1ca5cd9fa3ac09c5fdd7002f6adbb9771870d4477

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:6c2abb9719be7ef49bd143640321e946aab5fd502cf88316c838adedf979d434