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Paper Citation Record · LEDGER

AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.20965.

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

pith.paper-citation-record.v1
2504.20965 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:32.294610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:43:49.895170Z

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 67fd02ed-a4bf-4d53-a634-a0ad047660a0 · inbound

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas cites this paper.

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:32.294610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:32.294610Z digest=sha256:051f7c7594ac1cfa63c8cdd1018bf418176dda015477356a0fb56667430e2fa3

Observation 6b67c13f-068c-45d6-aeb5-999906c88811 · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

Reference 171

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:45.260762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:45.260762Z digest=sha256:946568eb9862344c22a812574bf3e019fc1dc27e95b75346121344ea5c49619a

Observation e78c59b7-4194-4955-bbbb-d5b4e002dda8 · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T22:24:23.453331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:24:23.453331Z digest=sha256:1fe1089b980b063568415860e97fa75431cba9fbe6adfe727a0032a9fc8679ea

Observation 5daff069-7682-4f3a-b6be-e71e910324ae · inbound

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum cites this paper.

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:43:49.897710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:08:54.560648Z digest=sha256:77dccec7760fe50034c4a29bec7eedd6e270edb2e1042f773fb1f53dccbe1008

Observation d748325b-4b90-4ad3-a6e2-69d717db0aac · inbound

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems cites this paper.

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T03:01:01.020484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:01:01.020484Z digest=sha256:992787467f0d43e4b13187f6d0df8bf5ea1847b4e4407d0650eeceb21d3c4164