Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.17058.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T09:16:25.745868Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:33:31.707538Z
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 d661ffc0-bbca-40df-9c21-9b322a2e4dd6 · inbound
Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation cites this paper.
Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T09:16:25.745868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd75a666-4389-480b-9f71-55706c1aadb2 · inbound
From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems cites this paper.
From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:35:51.372166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ccb55eb8-71d8-4e32-9f06-863e883c77c1 · inbound
CyberAId: AI-Driven Cybersecurity for Financial Service Providers cites this paper.
CyberAId: AI-Driven Cybersecurity for Financial Service Providers ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:21:06.903241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1fa4e68a-1040-4bff-a0ba-7b3b8d9b6dfa · inbound
An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations cites this paper.
An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T14:33:31.709183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 44be9660-4639-4627-ae45-482db1e22bcf · inbound
Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions cites this paper.
Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T03:57:47.560737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.