Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:24:43.817737Z
Paper Citation Record · LEDGER
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis
As of 23 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2508.13240.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 69ac3315-4a76-4781-9ce6-dd59c86dafb7 · outbound
This paper cites an unresolved cited work.
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T17:24:43.892982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9b0ecaae-9552-4bd9-a3e0-38a9e0f31c52 · outbound
This paper cites Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?.
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:24:43.817737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10759664-17ee-4e68-aea0-67b0487f4ed1 · outbound
This paper cites SoK: The MITRE ATT&CK Framework in Research and Practice.
Quantifying Loss Aversion in Cyber Adversaries via LLM Analysis SoK: The MITRE ATT&CK Framework in Research and Practice
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:24:43.813062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.