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Paper Citation Record · LEDGER

Towards Effective Complementary Security Analysis using Large Language Models

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.16899.

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

pith.paper-citation-record.v1
2506.16899 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:46.690422Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T01:18:31.914413Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cb41de0-a8bc-47cb-be04-c05899dcb733 · outbound

This paper cites Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities,.

Towards Effective Complementary Security Analysis using Large Language Models Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.453602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:45.544501Z digest=sha256:21797e791e98eadda578a683bf34598b00f00ec7278993ce00905c83ddd7eab0

Observation 83a0363d-fc13-4c8c-9230-d41e2b32548e · outbound

This paper cites “False negative - that one is going to kill you.

Towards Effective Complementary Security Analysis using Large Language Models “False negative - that one is going to kill you

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.438322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:45.636321Z digest=sha256:5c204218b538a6aaa9c0424ffceec40be4c7c0d1dcab9e51f35d83177ed8a3d4

Observation 3ada2d50-30c2-479e-9034-90202153ba50 · outbound

This paper cites Static program analysis,.

Towards Effective Complementary Security Analysis using Large Language Models Static program analysis,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.422290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:45.792039Z digest=sha256:47491fa71fb91ab4e8d26fafbfd952b2760f3dca2ac6fcdf23b26d8846e58ace

Observation 87338e61-cf0a-4d8b-ab7e-b10dbbadf28b · outbound

This paper cites OW ASP Benchmark Project,.

Towards Effective Complementary Security Analysis using Large Language Models OW ASP Benchmark Project,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:45.947914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:45.947914Z digest=sha256:e416092442b11101cf281481241c05c30e20605b800c2e49f5a483fd50f47599

Observation 076fa0a3-59e9-4bd9-ba29-92cf9662cb08 · outbound

This paper cites Learning a classifier for false positive error reports emitted by static code analysis tools,.

Towards Effective Complementary Security Analysis using Large Language Models Learning a classifier for false positive error reports emitted by static code analysis tools,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.405562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.054099Z digest=sha256:c3769994da43dbe6bb75476ec2565adbb08abe08cb6778a4ed1dfbb4f31303b8

Observation 08922e7a-55bf-41ea-8c79-e64c9a721be1 · outbound

This paper cites An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool,.

Towards Effective Complementary Security Analysis using Large Language Models An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.390041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.151068Z digest=sha256:4344c94f074a4fa1cf8be14d94723282b93786c9d7b6b3721c5d91e11a74c45b

Observation 84594f92-3806-41d5-a625-140ff8f0df8e · outbound

This paper cites Transformer-Based Language Models for Software Vul- nerability Detection,.

Towards Effective Complementary Security Analysis using Large Language Models Transformer-Based Language Models for Software Vul- nerability Detection,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.374626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.156497Z digest=sha256:4ec4d9b34f1ab6f59144ed175d05508dee8e86938ee4c247c6936cbf3119f15c

Observation 27774452-47e4-4691-b26a-408517296aa1 · outbound

This paper cites Using ChatGPT as a Static Application Security Testing Tool.

Towards Effective Complementary Security Analysis using Large Language Models Using ChatGPT as a Static Application Security Testing Tool

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.160882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.160882Z digest=sha256:f6db577e8e11a2b39e6ad49102d26445f258210ea47cf443a811cea5a3b8c392

Observation 1d425d4d-cb16-475b-aedb-48e4558ce4ab · outbound

This paper cites Software Vulnerability and Functionality Assessment using LLMs.

Towards Effective Complementary Security Analysis using Large Language Models Software Vulnerability and Functionality Assessment using LLMs

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:41:47.190514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.169877Z digest=sha256:ea66c398f5a7a28652a18c2e5b9a1aa18377f945875f758144112406aff568e0

Observation 0bbd5b5d-4d2d-4431-a8c5-132f3d110d2a · outbound

This paper cites Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?.

Towards Effective Complementary Security Analysis using Large Language Models Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.358496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.291933Z digest=sha256:e9f761163770337eeab6ff1b5587bb0e74cd42ee148e02feeb119454079251fb

Observation fbfedb1d-6974-4b63-b87f-0f7964c37ce2 · outbound

This paper cites Assisting Static Analysis with Large Language Models: A ChatGPT Experiment,.

Towards Effective Complementary Security Analysis using Large Language Models Assisting Static Analysis with Large Language Models: A ChatGPT Experiment,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:41:47.340764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.452695Z digest=sha256:349699ab6a60b59c7a789872573489de362403dc108522c227b6ce547aa001c4

Observation cb8f4a6b-24bc-4464-9a2b-d51be20eff7a · outbound

This paper cites Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Towards Effective Complementary Security Analysis using Large Language Models Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.598131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.598131Z digest=sha256:2a7b73b5b01a0b6beb038ba253dbc93f42e3787b9b27869dd1f083134a783125

Observation 8b998abd-7367-4d69-a07a-79415f5c721c · outbound

This paper cites Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study.

Towards Effective Complementary Security Analysis using Large Language Models Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.609494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.609494Z digest=sha256:61a411200c0017cb1e89a335f7190ae19ac7543b01021296c05a51731fa7a235

Observation d5bf19ba-eb2d-412d-a731-3b80054b4a6a · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Towards Effective Complementary Security Analysis using Large Language Models Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.615026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.615026Z digest=sha256:ebf9ae2b8c2aa01981b348d0440a2f8c91cbbfa11494f9fac8486847069128ee

Observation d2b4b2a2-79e8-48d5-a403-818b50b76495 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Towards Effective Complementary Security Analysis using Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.619957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.619957Z digest=sha256:d3cb499e7dc5c8f8507b7bf3f422a8027626863bde24b5c9c7ceb41effc05811

Observation 8024e4a0-f5b8-4844-ad6d-2af7da4dd1bb · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Towards Effective Complementary Security Analysis using Large Language Models Large Language Models are Zero-Shot Reasoners

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.625292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.625292Z digest=sha256:6927665071d6b289dae40c3f0b02ce83ed9fcc5cf4429ff70d6e7d4821f6a555

Observation 94638329-1b7c-4d34-843c-0fae1fc56fd5 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Towards Effective Complementary Security Analysis using Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.630960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.630960Z digest=sha256:5a043850bb18d52b36a2c895ab990a7833c59471093cfd077c1192c2a1b9f309

Observation 96f97f14-28f4-4d71-8c73-9ea9b1283cb3 · outbound

This paper cites Towards efficient complementary security analysis using large language models,.

Towards Effective Complementary Security Analysis using Large Language Models Towards efficient complementary security analysis using large language models,

Reference 18

Resolution
verified exact
doi, observed 2026-08-06T23:41:46.739588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:41:46.635693Z digest=sha256:81a30935b9546c22ecaa79c2f8812def550e6e8a5595a97c471168446ba66714

Observation fae75a2d-1e6b-4e7c-b77d-519998a2c8e9 · outbound

This paper cites A review of the f-measure: Its history, properties, criticism, and alternatives,.

Towards Effective Complementary Security Analysis using Large Language Models A review of the f-measure: Its history, properties, criticism, and alternatives,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.641132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.641132Z digest=sha256:08bef3e0f0e50a6435f831a04912a4a8b645c2f24a8541ff077e05e4119e03d2

Observation 0e0348c8-85aa-4385-9156-d123df51355c · outbound

This paper cites GPT-4 Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models GPT-4 Technical Report

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.646060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.646060Z digest=sha256:4b3c1ba9c9b7030141632ce32bdd18a2e8073c0c344edd194a258ac2467e5477

Observation 8b4aa529-3f3d-4114-a444-d1cdd1258a45 · outbound

This paper cites Hello GPT-4o,.

Towards Effective Complementary Security Analysis using Large Language Models Hello GPT-4o,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.650668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.650668Z digest=sha256:b508accddbdf5a565337cf0d4c35bcf261df8efbd36f16abdd02fcaaacacc8d9

Observation 5b1ae577-43f4-4186-82a3-698e2c458983 · outbound

This paper cites The Llama 3 Herd of Models.

Towards Effective Complementary Security Analysis using Large Language Models The Llama 3 Herd of Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.655346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.655346Z digest=sha256:e5754b308f09ef70ad45c543a85bf09cca82c6257a35344fd89ce1404695c526

Observation 259092a0-9785-47ca-9efe-28475ef1c733 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Towards Effective Complementary Security Analysis using Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.660513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.660513Z digest=sha256:3710872b8a7fb8c18da4cb1d2c92f580d654431bca312070e16817cdca271c1c

Observation 047ed3cf-b404-46ab-af9a-4ecb6a668334 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Towards Effective Complementary Security Analysis using Large Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.665453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.665453Z digest=sha256:f3e9254d7bb5120378298ccb7d427fe98b6326007586cab5458e0c84923a046d

Observation 382cc959-016b-4019-b3a8-f4b3f9368a2f · outbound

This paper cites Phi-4 Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models Phi-4 Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.670542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.670542Z digest=sha256:179b236fa0e0b74adca54288db796c1f991ee5b620f20fe1713a07fd1dbb2427

Observation 07dd786d-090a-4c91-b077-ac407090fa56 · outbound

This paper cites Qwen Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models Qwen Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.674888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.674888Z digest=sha256:0ee34444364b061f20ac46288a39e49daddc718352fd37cc1841e1224cf04c12

Observation 924e3c9e-e70e-45f5-8a74-1fd68c9a246b · outbound

This paper cites Qwen2 Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models Qwen2 Technical Report

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.679521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.679521Z digest=sha256:3d67308441eef76467c3765a5b2d6f40dfdaf1ee03909cfbe9d20791cced302f

Observation 0e8d1dfc-baea-4805-a29e-b9b498df0dea · outbound

This paper cites Qwen2.5 Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models Qwen2.5 Technical Report

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.685164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.685164Z digest=sha256:3d9d7f4938fd0ba2ec7ede217895ba083c2437250eae9542ff8da067157365a7

Observation 232b07dd-efe2-454f-93bf-693d6b5d6ae1 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Towards Effective Complementary Security Analysis using Large Language Models Qwen2.5-Coder Technical Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:46.690422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:46.690422Z digest=sha256:8fbfb5bba95910e9d8bf098ba057736353cab00667fa2b70be42f9d35867842a

Pith citing papers

Observation 80e54d5b-d432-4bb8-890c-09fe48f818ff · inbound

Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques cites this paper.

Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques Towards Effective Complementary Security Analysis using Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-14T01:18:31.914413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:18:31.914413Z digest=sha256:b5ba17f4895e6c61c35cc1c1d11fd8128771d77bc7584cc57e07200b607fbd15