Paper Citation Record · LEDGER

Large Language Model Sentinel: LLM Agent for Adversarial Purification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.20770.

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

pith.paper-citation-record.v1
2405.20770 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:08:18.108402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:34.283742Z

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 7efeb31e-7bff-4957-8481-f28db877b75b · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 182

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.280392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 285deb91-086f-478f-8887-e9f98a2f5516 · inbound

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification cites this paper.

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:18.108402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0094331-3899-479a-bc5a-a18d2316f2c3 · inbound

Redefining Elderly Care with Agentic AI: Challenges and Opportunities cites this paper.

Redefining Elderly Care with Agentic AI: Challenges and Opportunities Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-06T15:46:31.573242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa368ad-e476-43c9-b984-a12615031e07 · inbound

EvoEmo: Towards Evolved Emotional Policies for Adversarial LLM Agents in Multi-Turn Price Negotiation cites this paper.

EvoEmo: Towards Evolved Emotional Policies for Adversarial LLM Agents in Multi-Turn Price Negotiation Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:39.820206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001ddf16-5ffe-4701-a08c-112f33edbab4 · inbound

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation cites this paper.

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:44:56.479588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb866180-c125-4ea5-ae01-5e7061676897 · inbound

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience cites this paper.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:59:34.285436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.