Paper Citation Record · LEDGER

A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2402.18649.

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

pith.paper-citation-record.v1
2402.18649 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:12:04.944877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:41.300616Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a7cc5e31-d8ab-44dd-9ad4-67eae172a8f1 · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:25.912861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df57ed7e-81d5-4336-a629-bf6bd43bfcee · inbound

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models cites this paper.

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T00:12:04.944877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d187030-68c4-41d5-8272-38aaf24193f0 · inbound

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents cites this paper.

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:58.349652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c0392d-66fc-4250-9027-b2b21b6a4a71 · inbound

Automated Consistency Analysis of LLMs cites this paper.

Automated Consistency Analysis of LLMs A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T14:02:15.761686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dde291e-1b36-4b0b-a4f3-174d35fb60d5 · inbound

Progent: Securing AI Agents with Privilege Control cites this paper.

Progent: Securing AI Agents with Privilege Control A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:12:08.499599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8688fd6e-c713-4618-8bef-ff6bcb32303a · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:35.285497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36414a03-35c5-4a86-a167-64044d85995c · inbound

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems cites this paper.

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:34.165591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c31459-26ba-4ccc-b81b-38289a286e9f · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:13.812550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a94714-65be-4576-ba57-7918469c847a · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:42.907822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed72736-4654-47a2-8294-25c22ec8fd0e · inbound

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior cites this paper.

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:29.805387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d8626b-c077-46ae-b78c-1ecdbeb34004 · inbound

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection cites this paper.

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T14:57:12.945857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d44e16-15a8-4721-90a7-ced579650d26 · inbound

AgentBound: Securing Execution Boundaries of AI Agents cites this paper.

AgentBound: Securing Execution Boundaries of AI Agents A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:15:54.510960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4667967-0768-4dd2-918f-996ecdde8df0 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.057538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3144196-0953-437f-b15b-d614347c9294 · inbound

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains cites this paper.

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:49.242222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f66cdd2-7aac-4ead-8680-430f6e2f7587 · inbound

If you're waiting for a sign... that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems cites this paper.

If you're waiting for a sign... that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:02.621593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 820988f0-8ae3-453e-9c22-3882c32a2873 · inbound

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks cites this paper.

When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:33.180826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b08f3fd9-84d6-4ad5-a97f-a9e0253e7f12 · inbound

$\pi$-RAG: Oblivious Retrieval via Semantic Quantization and Transcendental Addressing for Large Language Models cites this paper.

$\pi$-RAG: Oblivious Retrieval via Semantic Quantization and Transcendental Addressing for Large Language Models A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:29:41.302116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bd1a248-d855-40ae-9b1c-9f0b1fcec988 · inbound

How Do You Choose Your AI Component? An Interview Study of Secure AI Integration in Practice cites this paper.

How Do You Choose Your AI Component? An Interview Study of Secure AI Integration in Practice A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-01T20:20:08.453334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.