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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:06:58.349652Z

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.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:89b936f8abd3dee65f11933a917f0810fb429bd1bb43ee274d91915372c0ce1f

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.

source=arxiv_source observed=2026-08-08T20:06:58.349652Z digest=sha256:b26bbd8bf3d85383fbef7b35abf19e70c6dea80db35088ea8014aef152b3fff5

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.

source=pdf_text observed=2026-08-08T14:02:15.761686Z digest=sha256:3df7e62c7dc208ce496d4bbb23d554023cd8a40935881fb1e6acf291ecc97907

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.

source=pdf_text observed=2026-05-22T21:09:51.782808Z digest=sha256:ddf5b75545deb065393a0e54b82e8fa7d78bc8147eabf6aa4c0bcdfaf0ba464c

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.

source=pdf_text observed=2026-08-07T10:19:35.285497Z digest=sha256:af19b20e97527d29a057b89748ec8e22d44e0fa97f0a55d8a822d17120f3860f

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.

source=arxiv_source observed=2026-08-07T05:36:34.165591Z digest=sha256:c5b837191a1c80b02245f10567a67d4af944ae88097f481623b7dd0a8f01a29d

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.

source=pdf_text observed=2026-08-06T22:23:13.812550Z digest=sha256:0f18594a2d6ed76fdd86c50a188db13eae8fbe09ea10084e8dd70f1da18c2d07

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.

source=pdf_text observed=2026-08-06T14:45:42.907822Z digest=sha256:5f6b58985627c8e2f3e899289003a6b41491e1e3f3a510d3e8b9332fecbbc0a3

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.

source=pdf_text observed=2026-08-05T16:50:29.805387Z digest=sha256:1864488ec7f35df95761423e601a4658d33422add1f8ffb474ebe49b07ba788e

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.

source=arxiv_source observed=2026-08-05T14:57:12.945857Z digest=sha256:612dba18750b1753f2a19165777e3758a1cda960cd551636213ab394bad5cca3

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.

source=pdf_text observed=2026-05-18T05:12:23.542793Z digest=sha256:3deeb60e4b2940afb37710e1b34446ac15e136892d6ab93b11d52c11d7e46925

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.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:a6cd11ad698e28e68f9d7b7ff6d0043cfb0709791fde3e0334f96a2b5d285a11

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.

source=pdf_text observed=2026-05-10T19:29:30.436621Z digest=sha256:7d36022fd55714a9fa336d55c825593bad2079a9b4051b7dc846b32f731b649f

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.

source=pdf_text observed=2026-05-10T02:54:35.336251Z digest=sha256:5e0b791410fc1ad52fadfaece03e100eef9561a5eeb61810c8b8d315cf18c3ce

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.

source=pdf_text observed=2026-05-12T01:20:55.221345Z digest=sha256:c626cdbcbc888b356c6fb242eaf9afa4ce0db1b40ee0b574a7de00fb9e50025b

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.

source=arxiv_source observed=2026-06-26T11:42:58.442012Z digest=sha256:de4d9d69b8f1be7fccf73917064e7c68b2d2a0e4f39576ff018f8efc83b0568a

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.

source=pdf_text observed=2026-08-01T20:20:08.453334Z digest=sha256:c9e057f31e4d21c891aa2348436c15130d50c3b833d1c88d4fcd83d21d865b65