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Paper Citation Record · LEDGER

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.20824.

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

pith.paper-citation-record.v1
2505.20824 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:26:33.801708Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:57.639137Z

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 ebbe82a9-274c-4a83-ba97-33044b471194 · 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 MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.801708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.801708Z digest=sha256:fd64d523a2240bf5434716f89e56c6bf2047c693be32941db223c6819ed331b9

Observation 5b825444-ae42-4d97-902c-341da6fe349f · inbound

DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation cites this paper.

DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.640420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T10:09:03.846676Z digest=sha256:1ea9c12d6400559724ba54fbd2090ff3934c90d6ca7fa2e82498971a4689ef3e

Observation 20369b53-899e-4534-85d2-7e24f8300108 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:4c3cc13959129c4897e91fa52a3f4cf94e96b3a3392a05917c6b6a140ea95a2d

Observation efab2776-c7f1-42ec-8ff1-713611d531c2 · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-30T19:40:11.493417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T19:40:11.493417Z digest=sha256:53509113b8c34802f5ef9578fab284c3de43427c06b8c3665cb8a9be3ea7e67b