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Paper Citation Record · LEDGER

Universal and Context-Independent Triggers for Precise Control of LLM Outputs

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 4 inbound Pith citation observations for arXiv:2411.14738.

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

pith.paper-citation-record.v1
2411.14738 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:00:14.332766Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:17:42.668642Z

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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation ea46f740-3083-412f-babf-c4ac407ec7a5 · outbound

This paper cites GPT-4 Technical Report.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-12T15:00:13.973036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:13.973036Z digest=sha256:a2245a09f99be28d91edbc1d9e255ca49ac50f39325e8e1205e8bb82d9be3138

Observation ceaf84e8-4f81-4754-aa31-12397168f81b · outbound

This paper cites an unresolved cited work.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Unresolved cited work

Reference 2

Resolution
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raw_fallback, observed 2026-08-12T15:00:15.694425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:13.980720Z digest=sha256:1fa052975344918ef34b0655b75c3f2a3514a2f091b595ac2d1b32b02fe7b984

Observation 93f1d166-17e3-4b23-9cfb-9c3017462153 · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 3

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no resolver link, observed 2026-08-12T15:00:13.988070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:13.988070Z digest=sha256:77780faf9439bba322fb87565b966f820494c321eb4ceb416cbae52038e1fd85

Observation 8f789eb0-bac2-4151-831c-c9939897a796 · outbound

This paper cites The Llama 3 Herd of Models.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs The Llama 3 Herd of Models

Reference 4

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no resolver link, observed 2026-08-12T15:00:14.000149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.000149Z digest=sha256:1b88cf4fe73a5b6d31ed470f7ddf71827ecd5a71d8e653f660df3dfec490cffc

Observation ac5ea2b2-afda-4d9a-934e-c1ffc6cc8dee · outbound

This paper cites HotFlip: White-Box Adversarial Examples for Text Classification.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs HotFlip: White-Box Adversarial Examples for Text Classification

Reference 5

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no resolver link, observed 2026-08-12T15:00:14.007423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.007423Z digest=sha256:24428fc648964898d9489d4f66ff23f14c9e7a3f46da78845af387b4872b9661

Observation 7c7e1f4b-cc74-465c-a073-47852cc6e5dd · outbound

This paper cites Imprompter: Tricking LLM Agents into Improper Tool Use.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Imprompter: Tricking LLM Agents into Improper Tool Use

Reference 6

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no resolver link, observed 2026-08-12T15:00:14.020558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.020558Z digest=sha256:81446fdd84469e76b7591e831a6b9bbd6acb84e096d393e6be179245425ebd37

Observation 0e8044f5-fea4-4d2b-86c2-effa2ae9a732 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 7

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source=pdf_text observed=2026-08-12T15:00:14.030455Z digest=sha256:f4131d28c32bda439ebe9ccbd1fd52cbc441453fcbff76181874baa69bec6d51

Observation c42c014b-6220-4ea6-8a3c-29afe667ebba · outbound

This paper cites Coercing LLMs to do and reveal (almost) anything.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Coercing LLMs to do and reveal (almost) anything

Reference 8

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no resolver link, observed 2026-08-12T15:00:14.039657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.039657Z digest=sha256:bf6ad7ffeb6f5848b29dcaf9042a36c1e7350a98a0c5f2f91641aa14aadfe250

Observation d1c591a9-437f-4d01-875d-2987e13891a2 · outbound

This paper cites Gradient-based Adversarial Attacks against Text Transformers.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Gradient-based Adversarial Attacks against Text Transformers

Reference 9

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no resolver link, observed 2026-08-12T15:00:14.048194Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T15:00:14.048194Z digest=sha256:918244403db666113ee5d0e1f14ad11033f2a9c7ad46bd253ab73de97125584e

Observation 50d75404-4507-4061-9aeb-1358ca09aded · outbound

This paper cites Query-Based Adversarial Prompt Generation.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Query-Based Adversarial Prompt Generation

Reference 10

Resolution
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no resolver link, observed 2026-08-12T15:00:14.056445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.056445Z digest=sha256:94fbb4288e6062174cdb2808a46fab627dafb52456be36278ed2e10fdc7b234d

Observation fd1a8d26-fe0a-43e5-ae38-709c77b35240 · outbound

This paper cites PLeak: Prompt Leaking Attacks against Large Language Model Applications.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 11

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no resolver link, observed 2026-08-12T15:00:14.064152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.064152Z digest=sha256:1eca1728fecaa5ca6ccb33627de1bdcac9be77a99a65992d1cccbbc869383f2a

Observation e3136544-5010-4aaf-ac09-43d14797c9be · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs A Survey on Large Language Models for Code Generation

Reference 12

Resolution
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no resolver link, observed 2026-08-12T15:00:14.070391Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.070391Z digest=sha256:70ce4b3e1822f6e8ee7fa49a30b4879e307a88e5706c6c0526526ba0d5a0e2fe

Observation e8c40798-619b-48bd-a0eb-861b8d6af3c8 · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Automatically Auditing Large Language Models via Discrete Optimization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.675230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.076604Z digest=sha256:f33188599d4c6190136cf5d7b85be9877f541eeeb4bd3873b295ff1f48b808af

Observation 9650219b-7a56-420b-bc35-7fbeef02ad85 · outbound

This paper cites Making a SOTA Adversarial Attack on LLMs 38x Faster.https://blog.haizelabs.com/posts/ acg/, 2024.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Making a SOTA Adversarial Attack on LLMs 38x Faster.https://blog.haizelabs.com/posts/ acg/, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.642248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.085181Z digest=sha256:2085e29bb158f7672b71453f2c649a0c7d4d9001c1bb06c20b240bc479b32ab3

Observation 35a2ce37-5816-48e3-8c12-d0a416f6b4c9 · outbound

This paper cites Rouge: A Package for Automatic Evaluation of Summaries.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Rouge: A Package for Automatic Evaluation of Summaries

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.604392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.097970Z digest=sha256:4588f430276aebe6c8ea13c318ca96e1813919c969e2d8f9ae724dbba5f6b510

Observation 0da94260-2103-466c-9de0-ad1843abbbcf · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Lost in the Middle: How Language Models Use Long Contexts

Reference 16

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no resolver link, observed 2026-08-12T15:00:14.104333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.104333Z digest=sha256:a0397fecc8f6464787aa7ac411c51c26d2397b3c58c6e47c6724ce8c132936c0

Observation 44f4d0ea-5a36-4aad-b621-1140d5bbc435 · outbound

This paper cites AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Reference 17

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no resolver link, observed 2026-08-12T15:00:14.113322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.113322Z digest=sha256:aaf574c2b827eba13f3526f3ca951aae9e8eb0cb4b99360fa5a993cfcdeb0b42

Observation b36030cd-e2ac-45e4-9103-a8e1508ccd9c · outbound

This paper cites Biases in Large Language Models: Origins, Inventory, and Discussion.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Biases in Large Language Models: Origins, Inventory, and Discussion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.569269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.123303Z digest=sha256:f1139351bd87c948ef9b420f9f2d1400d456fc4e2ba49a175fc6248aec580770

Observation 2f021887-f716-4b52-b8a0-9c8a5b2557d7 · outbound

This paper cites The OIG Dataset.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs The OIG Dataset

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.531326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.131309Z digest=sha256:1cf86a872855bca7a09803f1792e9cfd9ddde6cf7e6f8630f6b0dddd681ed59a

Observation 73afde9b-95ea-439a-97dc-beba9c605eed · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 20

Resolution
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no resolver link, observed 2026-08-12T15:00:14.139010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.139010Z digest=sha256:1fc37367170dd518cd0a520ab2f65409fcc36250ba94393f438b871e4665f6e1

Observation 1641d366-5424-425a-b596-247017ceb30e · outbound

This paper cites Instruction Tuning with GPT-4.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Instruction Tuning with GPT-4

Reference 21

Resolution
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no resolver link, observed 2026-08-12T15:00:14.145795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.145795Z digest=sha256:fcc156045bf85adf7f099bd04c966f09232219150568d9e6c5c64aad1d0f4b65

Observation b9b53e8c-ff55-4d6e-980c-a278b2e148c5 · outbound

This paper cites an unresolved cited work.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:00:15.501982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.156216Z digest=sha256:036a9fea78e5c3bdbb8360258808eebe104823e854bd1edd4efeca5b477067cd

Observation 99bce508-91f5-40f1-99c7-6c8fd6fdc591 · outbound

This paper cites Jailbreaking LLM-Controlled Robots.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Jailbreaking LLM-Controlled Robots

Reference 23

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no resolver link, observed 2026-08-12T15:00:14.165257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.165257Z digest=sha256:447ea43c51d7fc5888cbfbabea8cf76dc84ec2e45c3c3cdd0f3b06d15d1fef6f

Observation be6e0687-5986-41c9-922f-daf465d9d945 · outbound

This paper cites Mathematical discoveries from program search with large language models.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Mathematical discoveries from program search with large language models

Reference 24

Resolution
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no resolver link, observed 2026-08-12T15:00:14.172140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.172140Z digest=sha256:2ceb68827cf9029f18b9aa94cb2b0dc0d9c623bc3899f288c09b287bf047bb22

Observation a8a1d384-00f6-415e-8c86-8681e629eba9 · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 25

Resolution
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no resolver link, observed 2026-08-12T15:00:14.178227Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.178227Z digest=sha256:4187dc611501af0f87652275bc5927885c84f1179c0fd19bbde9897f96fcc90f

Observation 9babf24f-e280-46eb-bc8c-e74a7f9aa013 · outbound

This paper cites The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts

Reference 26

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no resolver link, observed 2026-08-12T15:00:14.185048Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.185048Z digest=sha256:27a0ebd72e90804d7622db54b5800e7df8328605db20e43af7522503517ff637

Observation a06352ee-5b22-4263-ac22-f10169f04f99 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 27

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unresolved
no resolver link, observed 2026-08-12T15:00:14.194243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.194243Z digest=sha256:21b789b3a10af059137e41d96104803ce4479c52b3162591680f4db42cd68ec9

Observation 35d336ff-8071-459b-b569-e865e999d667 · outbound

This paper cites StructuredRAG: JSON Response Formatting with Large Language Models.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs StructuredRAG: JSON Response Formatting with Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.206962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.206962Z digest=sha256:9b24d7c5a82c9b6651fdb130a5b27895a1172547b146db505e9316f7fff978da

Observation 9aae8774-f23e-4715-8eb6-12e93613f29b · outbound

This paper cites Ben Thompson, and Michael Sklar.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Ben Thompson, and Michael Sklar

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.436668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.217798Z digest=sha256:a738e358d6e386780cd28666bab495200d94c0984db55988d067679718b04896

Observation 3440e775-aa96-4ab7-b1bc-49295f27df8e · outbound

This paper cites RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.245049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.245049Z digest=sha256:2f911f03045290d0ff20c0a243bec90d6f03bbd8ef26592da0fcf877778a0396

Observation 880f8d3f-0b18-40fa-b814-168825894c7b · outbound

This paper cites Solving olympiad geometry without human demonstrations.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Solving olympiad geometry without human demonstrations

Reference 31

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unresolved
no resolver link, observed 2026-08-12T15:00:14.253313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.253313Z digest=sha256:12d4da9836efe6efb429956156c4fd19b245c883d38ccdeb88b0d161fd582072

Observation bcfaaa0f-e955-4027-ba10-bed91477e0a7 · outbound

This paper cites Adversarial Attacks on LLMs.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Adversarial Attacks on LLMs

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.390488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.264368Z digest=sha256:884d408e756299376c8129298ed3ea1b279d8923293331ea319c1b9921a38b07

Observation 47db38c8-c849-4f94-91ca-32700e316a31 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 33

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unresolved
no resolver link, observed 2026-08-12T15:00:14.274767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.274767Z digest=sha256:ca0e9d275bd34441c6b377f68e3ccb10939ebeed98924fd0e66b156c398c8087

Observation 00058a13-17ea-4734-9ec7-4842e9bc1e2c · outbound

This paper cites An LLM can Fool Itself: A Prompt-Based Adversarial Attack.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs An LLM can Fool Itself: A Prompt-Based Adversarial Attack

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.365741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.281840Z digest=sha256:fc7bcf0da80039524dabd416f5ce6f7a9948802689cf966bb1fc7d1ba5ee81b0

Observation ebe69a69-653b-4705-a527-d71a1e0f9431 · outbound

This paper cites Qwen2 Technical Report.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Qwen2 Technical Report

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.289286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.289286Z digest=sha256:d65be99f29ae75bda07991e85d67fae731f02f73b029181cde9eb7c97599856a

Observation 294f2f07-f0a7-4ec7-b3a7-b18ef7f01364 · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.294392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.294392Z digest=sha256:48f35934fadaf7631f2bec648a32328886a72f196d7eee606dc3cc994f83ecf0

Observation f0a69176-74bc-4f57-b198-95dca1856bb1 · outbound

This paper cites Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.302708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.302708Z digest=sha256:5cdb84fe72d0272d27397a9790b7514a9426489eb6b7c2eea7e1bd051c32769e

Observation c56295b2-3f01-4aa6-98dc-105c15639e45 · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.315201Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.315201Z digest=sha256:805feb1ab169adf24fc5314293a42283b4fdd4b2cb42db6c39c1dcdabca22148

Observation b3cd7789-069a-4114-8888-f1db13ebdd5e · outbound

This paper cites AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:00:15.320828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:00:14.323516Z digest=sha256:58aa1592673aa18515103a183e60be2973434eeabe07990233c5ba45011164fd

Observation 3d8d0a79-36f7-4dbe-b31e-bc3839c438ed · outbound

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

Universal and Context-Independent Triggers for Precise Control of LLM Outputs Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.332766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.332766Z digest=sha256:8f33d256651138d0e36df0325b1936ac30734ab68489bca1b2f7491a82580263

Pith citing papers

Observation b48413b9-c263-4357-9b4b-423464317c1b · inbound

Evaluating Language Models as Synthetic Data Generators cites this paper.

Evaluating Language Models as Synthetic Data Generators Universal and Context-Independent Triggers for Precise Control of LLM Outputs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T22:17:42.668642Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:17:42.668642Z digest=sha256:8de888a1ae9abb2fba4bea61f878dfc20b5b2d1819f980aee16731b2f2d8aefb

Observation e76b5078-6df0-4a1a-bdee-4d8595648c8d · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Universal and Context-Independent Triggers for Precise Control of LLM Outputs

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:11:58.021520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T19:10:55.009810Z digest=sha256:caf85fd0c997fd0ea21b8e894b1bddeb7f75bf48d213a7feef6171401fc495d1

Observation ede7cbed-c01c-4a23-a8b9-479048fe8d54 · inbound

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

Prompt Governance? On Governing Technologies Governed by Natural Language Universal and Context-Independent Triggers for Precise Control of LLM Outputs

Reference 202

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:32.852835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:88b5640295d8140052459eb22cd0ce6f81f44ff3af5b97d114f2c9b2304cdad0

Observation 617e5efd-51f7-4608-ba58-8137230741e6 · inbound

Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents cites this paper.

Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents Universal and Context-Independent Triggers for Precise Control of LLM Outputs

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T11:38:20.754753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:38:20.754753Z digest=sha256:8c3d1d376bddd568d804880c431a1ab48772b4d7628fb4df9736f34eb8744a94