Paper Citation Record · LEDGER

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.12503.

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

pith.paper-citation-record.v1
2403.12503 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:23:05.685950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:20.684047Z

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 1f1d28e6-5439-4257-98d4-b0970eb689c9 · inbound

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models cites this paper.

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T18:23:05.685950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6490be7d-41d4-47ae-adc0-6c4050d28471 · inbound

A Byzantine Fault Tolerance Approach towards AI Safety cites this paper.

A Byzantine Fault Tolerance Approach towards AI Safety Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:16:58.761112Z

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.

Observation 5d90c981-39c5-4f78-8778-f460e9c022ad · inbound

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem cites this paper.

Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:49.761576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f03677-1337-4149-808e-22d3de271ec2 · inbound

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:54:43.037974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075391b3-1e02-4f61-8461-efaa4094e5cf · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:11.329574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41ce24d-c652-4fb6-9257-ca7f208a029a · inbound

A First Look at the Security Issues in the Model Context Protocol Ecosystem cites this paper.

A First Look at the Security Issues in the Model Context Protocol Ecosystem Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:12:26.325498Z

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.

Observation ec1c7a04-3e2e-4b8d-a00a-579ff950915a · inbound

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities cites this paper.

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:20.685524Z

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.

Observation 48ab9af9-a1af-4b86-b4b7-8acda2639b5b · inbound

Adversarial Prompting Framework for AI Safety Assessment cites this paper.

Adversarial Prompting Framework for AI Safety Assessment Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T05:10:09.277660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.