Paper Citation Record · LEDGER

Using LLMs for Security Advisory Investigations: How Far Are We?

As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2506.13161.

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

pith.paper-citation-record.v1
2506.13161 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:45.670216Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T10:00:19.465944Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:07:01.013997Z

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy20
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1374935d-295f-4058-b2fa-dd3578cb2153 · outbound

This paper cites Software vulnerabilities overview: A descriptive study,.

Using LLMs for Security Advisory Investigations: How Far Are We? Software vulnerabilities overview: A descriptive study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:47.027651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3f0ff45-2ef0-4c18-8a15-b197fa22aa7a · outbound

This paper cites Systematic mapping of the literature on secure software development,.

Using LLMs for Security Advisory Investigations: How Far Are We? Systematic mapping of the literature on secure software development,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:47.014892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 571dcffa-66c0-4b94-a4ff-49f26489446f · outbound

This paper cites Impact of security standards and policies on the credibility of e-government,.

Using LLMs for Security Advisory Investigations: How Far Are We? Impact of security standards and policies on the credibility of e-government,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.935742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6444ebb5-1295-4439-a085-a401404b0811 · outbound

This paper cites An innovative approach for treating chronic vaginitis based on AI-driven drug repurposing,.

Using LLMs for Security Advisory Investigations: How Far Are We? An innovative approach for treating chronic vaginitis based on AI-driven drug repurposing,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:44.839854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fd3a55-c232-4aab-bb04-30750cecead2 · outbound

This paper cites Revolutionizing education with AI: Exploring the transformative potential of ChatGPT.

Using LLMs for Security Advisory Investigations: How Far Are We? Revolutionizing education with AI: Exploring the transformative potential of ChatGPT

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.913070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6413917-046a-45d2-8991-02713ac52859 · outbound

This paper cites Refining chatgpt-generated code: Characterizing and mitigating code quality issues,.

Using LLMs for Security Advisory Investigations: How Far Are We? Refining chatgpt-generated code: Characterizing and mitigating code quality issues,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.830486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5998ea67-dd7d-4da0-a40a-a17285a82915 · outbound

This paper cites From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,.

Using LLMs for Security Advisory Investigations: How Far Are We? From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.817412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8067c634-0e6b-412a-8c97-8f0430e04fb5 · outbound

This paper cites Why Google’s AI overview gets things wrong,.

Using LLMs for Security Advisory Investigations: How Far Are We? Why Google’s AI overview gets things wrong,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.779104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93bd8452-fe39-435e-ac39-9bc036555e3c · outbound

This paper cites Can Large Language Models Find And Fix Vulnerable Software?.

Using LLMs for Security Advisory Investigations: How Far Are We? Can Large Language Models Find And Fix Vulnerable Software?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:45.044236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e129ee6-6755-4337-847f-b6020b034ba9 · outbound

This paper cites Examining zero-shot vulnerability repair with large language models,.

Using LLMs for Security Advisory Investigations: How Far Are We? Examining zero-shot vulnerability repair with large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:45.079259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a42caa52-7649-4a87-8536-72234fd879fc · outbound

This paper cites Survey of hallucination in natural language generation,.

Using LLMs for Security Advisory Investigations: How Far Are We? Survey of hallucination in natural language generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.685608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd1f3cf8-3e4b-4232-8954-c3719fe38a3c · outbound

This paper cites Evaluating a large language model on searching for gui layouts,.

Using LLMs for Security Advisory Investigations: How Far Are We? Evaluating a large language model on searching for gui layouts,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.517151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52808aca-6388-4b80-b4ee-86554ef21a96 · outbound

This paper cites Generative AI for software practitioners,.

Using LLMs for Security Advisory Investigations: How Far Are We? Generative AI for software practitioners,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:45.261896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c7e687-9d78-45d5-a4ea-fc94a91d0744 · outbound

This paper cites Harnessing predictive modeling and software analytics in the age of LLM-Powered software development (invited talk),.

Using LLMs for Security Advisory Investigations: How Far Are We? Harnessing predictive modeling and software analytics in the age of LLM-Powered software development (invited talk),

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.470046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38355e4d-74e8-4027-b480-89486d85965d · outbound

This paper cites The programmer’s assistant: Conversational interaction with a large language model for software development,.

Using LLMs for Security Advisory Investigations: How Far Are We? The programmer’s assistant: Conversational interaction with a large language model for software development,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.428940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f8fafac-93c9-4759-8dc2-db8bd512751a · outbound

This paper cites LLM for test script generation and migration: Challenges, capabilities, and opportunities,.

Using LLMs for Security Advisory Investigations: How Far Are We? LLM for test script generation and migration: Challenges, capabilities, and opportunities,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.403347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c2d1f6e-8d2f-40d1-8863-ed19be9969aa · outbound

This paper cites Software vulnerability detection using large language models,.

Using LLMs for Security Advisory Investigations: How Far Are We? Software vulnerability detection using large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.312311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 813db508-969f-4c99-bc74-b5c39858bb20 · outbound

This paper cites Characterizing attacker behavior in a cybersecurity penetration testing competition,.

Using LLMs for Security Advisory Investigations: How Far Are We? Characterizing attacker behavior in a cybersecurity penetration testing competition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.301415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51bb8111-9af1-40aa-a8e7-e18184e59fb7 · outbound

This paper cites Software security: Vulnerabilities and countermeasures for two attacker models,.

Using LLMs for Security Advisory Investigations: How Far Are We? Software security: Vulnerabilities and countermeasures for two attacker models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.218754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc203c26-d2f0-44b6-94bf-80535b16c204 · outbound

This paper cites A study of vulnerability identifiers in code comments: Source, purpose, and severity,.

Using LLMs for Security Advisory Investigations: How Far Are We? A study of vulnerability identifiers in code comments: Source, purpose, and severity,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.206402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85a8ac05-8553-4bb3-b0c3-d0877e0fe09c · outbound

This paper cites V-SZZ: Automatic identification of version ranges affected by CVE vulnerabilities,.

Using LLMs for Security Advisory Investigations: How Far Are We? V-SZZ: Automatic identification of version ranges affected by CVE vulnerabilities,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.046997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6a6f3ec-a95f-4a17-b774-813ae3e9d587 · outbound

This paper cites Tracing capec attack patterns from CVE vulnerability information using natural language processing technique,.

Using LLMs for Security Advisory Investigations: How Far Are We? Tracing capec attack patterns from CVE vulnerability information using natural language processing technique,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:46.034167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8cd986a-5051-4099-a6d0-26b245eabd3a · outbound

This paper cites Multi-label positive and unlabeled learning and its application to common vulnerabilities and exposure categorization,.

Using LLMs for Security Advisory Investigations: How Far Are We? Multi-label positive and unlabeled learning and its application to common vulnerabilities and exposure categorization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:45.964037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28a23b9e-7122-48cd-b9ab-6190361d0003 · outbound

This paper cites Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization.

Using LLMs for Security Advisory Investigations: How Far Are We? Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:08:45.779084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ea1dd89-421c-485a-8af6-60c277df5fc7 · outbound

This paper cites Enriching vulnerability reports through automated and augmented description summarization,.

Using LLMs for Security Advisory Investigations: How Far Are We? Enriching vulnerability reports through automated and augmented description summarization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:08:45.873329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 9ca6bb2c-5381-4667-8b8c-836317303042 · inbound

From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure cites this paper.

From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure Using LLMs for Security Advisory Investigations: How Far Are We?

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-10T10:07:01.015449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.