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Paper Citation Record · LEDGER

Towards Effective Complementary Security Analysis using Large Language Models

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:45.544501Z digest=sha256:17202adb6eab57479d70695427a74ad2d5c667b560c41eed7f000ac2a554b13e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:45.636321Z digest=sha256:692241b137f796fefdbc06a312ecc7e4f62179402a87094c6ec74e71d0a47db3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:45.792039Z digest=sha256:9107200be81cefd30a366633932e245dd797c56295bb65cf28b3025f8c951ee1

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=sha256:14a376365d8d25604a2663cb1a301bbfc332398e8ad71df70fe9c153d2b50933

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.054099Z digest=sha256:a1866fa41b42ea14b3d41debe6fa6dc0799ff9337facd2962973a449efe61ffe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.151068Z digest=sha256:c8d47103cc0535ba83e4e1b7f63c1448f03e341658c400607e4ddecbc049cb9d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.156497Z digest=sha256:106e7259dbcb0ebe6c18413f46e2f32b3eb3b9f7cfad380698a568ea567d5dbd

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=sha256:7b64b2c39cb4b3c527ed1a95a0425aa1e8f1ec9598e3d364000d5468fec7c4cd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.169877Z digest=sha256:a422d1ab5040d1093db34f9acf4aae4a8d66f3dc54c97cb443c25d780e98cbbc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.291933Z digest=sha256:e302d94c9eaa0a1ca59908cb7fc73db4932f6476d5127c97c6fec0af3d26110c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.452695Z digest=sha256:a00438eaae3172227b07cf0871d9828963c18af7d1d27bdb20eb6ee9f1458eaa

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=sha256:0db496aade9b28b27617bb4e2103f9c479e8ce9cfa5f322cc92482f2f7cfdaf1

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=sha256:9357257e0617cab7d331d0a8cfac751713e9375db826f8da21a336b80b951001

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:e4b177b9e0f36384e46dff678673aa954051aa10b39c458f2273ff9415d0f32d

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=sha256:2beeae54560ff1b1a7ca3fea2eb0a23a2ec9a317f269cf8d2a8e4cba8ebbe2d4

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:fb007924aed63f9af0d77d802c6ff4b8ec6551ea729ca7327281de55c0bb20d2

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=sha256:3c848eb10a533e51eb87e495ee508e29e80aeb5dcf295f7033770f8ff60e84c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:41:46.635693Z digest=sha256:517500945d339ad4f3f80c6bdd51df16c383abeede7ae7ee8d3f616587477ef6

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:e055d54da287e38d98b6ed14563426627e9f99238975f777edab9a48aa869422

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:ec31d61d95ac13b84c89092a3a9adbef209c6b432e09b0404453bfbcaa1df0f4

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:c76c7a52c7b890eb7ea0f022f5b23b63914774f3a27988ec6e6eaeb0c03aedfe

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=sha256:96c3d9085f73523212faddc4e9ef259ccc8d3a24f0cb8c04d43d51c29a4cc35c

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:daa892f5e76c43cda6721edc8c4d935c51a03b0a894be0a9642eed96e34e028f

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=sha256:9bbd79ec49d5f3ec50b36b3c094af4dcea1aa3f244bada79efcab527289bb8fe

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:d96464bfce6df63c913135961413e9085df5cc9e0664eabe01e4dfdafe924a1e

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:f61ca95bfd83ccd663f4f7566c86bcabff8d1d9f03ad97a525e197ac31b6df1a

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:cf863094ede656fbce0ee5722f0696670b473fa9b706188573a7c1ec742f4aa8

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:ddb345ff634164576538b85373b6a8dfbb4cc42e3dc739d9b46ad2f8aa5fa7e7

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:ac5434379eb3ba64c1249c8a59c442f1ed34e0f215d2883968382e7597f8e027

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=sha256:34202067f0cb721d8a01bccb0db147d661dbc4b24e86b15093fd2a7584943de5