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Paper Citation Record · LEDGER

Towards Effective Complementary Security Analysis using Large Language Models

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:45.544501Z digest=sha256:8564483554bce9d4a674c9332ddac267e22b3694b311986bd3e3f0e6bd1865b0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:45.636321Z digest=sha256:54f10721afa98c049ad884fd83078de9924f14d7578223f70ed938217d1d97e5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:45.792039Z digest=sha256:607a732d86a99c9521410094ea1812b95071cae8106708bde9f54a6e92f395fc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.054099Z digest=sha256:1c0b75cd5210af2f7c895120672de8a66eb9789316a5d0df45949eec9c53ee8c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.151068Z digest=sha256:8a193fc10583bd25219427386301221df7900604ca7b16d5050204e3b40c3eea

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.156497Z digest=sha256:edc51e4b7691f26c348bfd33647a94ea237d2e808434441e8db05f180a73e9cc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.169877Z digest=sha256:ab00c344f78777250fbe455022cd9431a28a65312e2850d891a7819ed2161f84

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.291933Z digest=sha256:5f653c66ef26d1ccfe39e80ba385a210f25310aef942d66ddd68daa9bc01e446

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.452695Z digest=sha256:6a857bf543cd3614e434a5468e36d2fa24c84d44fb677637e0f78110501c717b

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=sha256:596f1dc7dad5ce229594413f3d3a9c9cf0e862f0f98711dec142d3998763efd0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:41:46.635693Z digest=sha256:00575839d3a406e7970abe731b03f418c3110b665c5710f300204daf9f209416

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:c6d473fdc8b1e33c595422205ee0b8e98a72c39e80572697a0dce5cabe64401d

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:e749c63167d6008e2ab6fe296bb0b0b8770e9e5d57dd9a6e1b3690fdadd4a60e

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:d4396ea0fff8c1c11946c61329cebc886f288c53ea5c9921a4863da761c3fdf0

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