Paper Citation Record · LEDGER

Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.11007.

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

pith.paper-citation-record.v1
2406.11007 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:12.456490Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:38:36.249182Z

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 fdcf7902-4e76-457c-ba98-f3bbea9fdd5a · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:12.456490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5865faec-621c-47b6-944c-88a11d3466a7 · inbound

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System cites this paper.

Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI System Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:38:36.391046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0dcc554b-138e-4606-a16b-a4375683d189 · 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 Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications

Reference 287

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.717894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fbbdc13-741c-4a2e-80bf-9fbe7f74088f · inbound

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions cites this paper.

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-15T13:15:31.225992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.