Paper Citation Record · LEDGER

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2503.04392.

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

pith.paper-citation-record.v1
2503.04392 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:24:58.160946Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7b9f233f-ddce-4c8d-9b52-39901c78a083 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:36.613450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7cd5673-188e-43d3-90e7-972bc79d8fb6 · inbound

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T12:52:01.425894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b6122b9-e70f-4842-80a5-256ab1710ce4 · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-05T15:26:33.694658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d6929d-ccd2-42a1-940c-400450e11801 · inbound

Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation cites this paper.

Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:03:55.313248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68c30b84-8fc8-4c22-a00e-7b063560d008 · inbound

Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems cites this paper.

Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:16.835752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4acc79e6-7f24-4cff-b0cb-c582d49f9c58 · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:04.214297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c037a97c-f378-414f-9385-f5d7eb650d0d · inbound

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 267

Resolution: unresolved; no resolver link, observed 2026-07-13T17:08:58.831798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ecd8a7-6b52-489f-b849-010bc5a42d58 · inbound

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation cites this paper.

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:33:48.187563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60320562-5089-4447-845d-56a27aa60b4c · inbound

The Capability Paradox: How Smarter Auditors Make Multi-Agent Systems Less Secure cites this paper.

The Capability Paradox: How Smarter Auditors Make Multi-Agent Systems Less Secure AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.601429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73f86d23-fad5-43c3-940e-30406e8bf28f · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:10:57.017151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98530c8e-0028-407a-97b7-c06aef7814a6 · inbound

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems cites this paper.

When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T20:57:35.010016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5660a39a-6614-4e36-b030-b49e43039106 · inbound

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks cites this paper.

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T14:14:33.547022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d46d291-b6c8-42bf-b939-a8798000dbb8 · inbound

MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems cites this paper.

MAPLE-Guard: Memory-Aware Link Enforcement Against Memory-Link Poisoning in Multi-Agent Systems AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:24:58.160946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.