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Paper Citation Record · LEDGER

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2405.17238.

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

pith.paper-citation-record.v1
2405.17238 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:29:43.678023Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c637f54-ec47-48c1-9cb4-043ac9ce025e · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 160

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arxiv_id, observed 2026-05-22T13:46:37.139902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:4bd6ff235fca581cb3b3070dbd88b0e5747fa1d73a46d4deabc72ac3b9b39c3e

Observation 0d4e0507-9701-4113-981f-5e258f24a2de · inbound

Locus: Agentic Predicate Synthesis for Directed Fuzzing cites this paper.

Locus: Agentic Predicate Synthesis for Directed Fuzzing IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 48

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unresolved
no resolver link, observed 2026-08-05T14:29:43.678023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:29:43.678023Z digest=sha256:a8c14e225725cc5380312eeecaf1e8a5660f7be14dab9c5fc90a1b2e068384fa

Observation f3e8c82a-c0c6-4fed-a0c3-4874493eb9d8 · inbound

KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis cites this paper.

KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 54

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unresolved
no resolver link, observed 2026-08-05T10:21:47.028384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:21:47.028384Z digest=sha256:9b8dd153424c2a262fa8b65b653d2a5a2a6079ef31b0f85e8df0904b7b64bb96

Observation ab28611e-28f2-4799-833a-893c076fdfd7 · inbound

CodeCureAgent: Automatic Classification and Repair of Static Analysis Warnings cites this paper.

CodeCureAgent: Automatic Classification and Repair of Static Analysis Warnings IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 34

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arxiv_id, observed 2026-05-18T16:36:36.957367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T16:34:17.957843Z digest=sha256:3e3de862d9c76ed854cc97dc78186ec94cacb1a50ad667821b7056c6565df439

Observation 1ce3e631-66f9-4d59-a01f-8261e8a9750c · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 25

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verified exact
arxiv_id, observed 2026-05-22T11:41:30.189897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T11:38:16.149523Z digest=sha256:25ce4bace460ab2091f07b8014c32dd0e5a1c5730b35675893a7e3c550b9d927

Observation 1625ac76-b30e-43a8-a7b3-074ea3f9f77b · inbound

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports cites this paper.

AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 27

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unresolved
no resolver link, observed 2026-08-02T23:18:01.195363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:18:01.195363Z digest=sha256:80663a42b1ada42fdd3c4ae8d65c0f2ff20b5fc4c7c1bc040d517f7e92512b7e

Observation b10634bc-78ba-4126-b118-43894496e160 · inbound

Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis cites this paper.

Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 40

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arxiv_id, observed 2026-05-14T22:38:11.364931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T22:34:25.909169Z digest=sha256:4bee3c1245b2a71274c60f0ef110207a7ee58f25437514a918a8de7aacaeeebc

Observation ce7e9e32-c186-41c7-a719-a49688ffe11f · inbound

Interpretable models for forecasting high-dimensional functional time series cites this paper.

Interpretable models for forecasting high-dimensional functional time series IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 30

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unresolved
no resolver link, observed 2026-07-14T20:03:45.984919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:03:45.984919Z digest=sha256:a59624473a533abfa8472d966f1eb5aef12fcf2d29c1cb07633f0c581dc50f6d

Observation 02e43534-1793-4e17-b2b0-1ff4b0af923d · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 24

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arxiv_id, observed 2026-05-11T10:21:04.235293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:31:34.651052Z digest=sha256:64ae881249534958b6b2911c988a24873f5da007c599a4b206ed85d8684b080f

Observation 7d2ad770-1e31-42f2-8ec8-bbbb72575e6c · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 22

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unresolved
no resolver link, observed 2026-08-02T16:30:05.815631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:30:05.815631Z digest=sha256:f6fbb9efc40895249aabe7e312cf19a5125e5036554745d9dd8ad5311d58b517

Observation 9421076c-ed7e-4931-899a-2b6802a1f4dd · inbound

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection cites this paper.

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 32

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arxiv_id, observed 2026-05-11T09:31:01.977443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:00:10.503364Z digest=sha256:0bbd7526fb4c3b73fc50c56cad3cab2291936bcc1fad64e8433e016feb6319fe

Observation 7d1d1cf7-e6a9-474d-8d03-ed5d78abed3a · inbound

Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction cites this paper.

Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 69

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arxiv_id, observed 2026-05-11T11:11:05.049938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:06:56.616089Z digest=sha256:11bc015b0c783e1c6d38b2f468c0daa8c75fa526068b34e0c534e5355309dbdd

Observation 9793672d-02bd-4570-9a12-348fd5a9cb27 · inbound

Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery cites this paper.

Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 17

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arxiv_id, observed 2026-05-10T03:14:08.003075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:11:26.513954Z digest=sha256:003ffba5ddd3ccb61c42e7bce57bec1da137a47ee2247638c1b448007914cf8b

Observation 3c167dfb-2a70-4499-bc05-f314a884ccd0 · inbound

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches cites this paper.

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 22

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verified exact
arxiv_id, observed 2026-05-12T08:56:24.961821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T13:31:54.564719Z digest=sha256:25e16e503a4830e557bb9bb115bb6f9ffe4a482f96454867990e9f9a05c4fc83

Observation 956205b2-54ec-4ba2-b6bf-84d726af55f0 · inbound

Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis cites this paper.

Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 21

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verified exact
arxiv_id, observed 2026-05-11T15:26:11.585419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T19:58:28.584941Z digest=sha256:d0b1cc85991ff10cf45413703c4562e025679d9e77c25c063ce8801096a96466

Observation 379f626a-13b7-40ee-8fc2-ed282fe9fdb8 · inbound

CyberAId: AI-Driven Cybersecurity for Financial Service Providers cites this paper.

CyberAId: AI-Driven Cybersecurity for Financial Service Providers IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T16:21:06.890404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T17:28:03.091189Z digest=sha256:5e10470b3f86c4332544b3991d04a5e560c9521536a93bbc58b812daa3427b2f

Observation 1b694e79-3484-4fad-9e60-25200be4d4cc · inbound

Evaluating the Reliability of Multiple Large Language Models in Risk Assessment: A CIS Controls Based Approach cites this paper.

Evaluating the Reliability of Multiple Large Language Models in Risk Assessment: A CIS Controls Based Approach IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-11T18:16:11.525355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:21:18.483029Z digest=sha256:a2824198a57e947eec99d15c9961278221fc270210400879067a088cc3abd194

Observation ae710097-020c-4154-b57d-86bcc7834746 · inbound

Longitudinal Analyses of SAST Tools: A CodeQL Case Study cites this paper.

Longitudinal Analyses of SAST Tools: A CodeQL Case Study IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 41

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arxiv_id, observed 2026-05-11T03:35:55.153186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T03:34:46.864668Z digest=sha256:459093df3678e77a514c101f654e893f06f790f6bd6b4e997122ca6576aa009f

Observation ed2164c5-310a-441c-9f21-636d58587227 · inbound

Generating Complex Code Analyzers from Natural Language Questions cites this paper.

Generating Complex Code Analyzers from Natural Language Questions IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 26

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arxiv_id, observed 2026-05-12T05:41:26.768863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T05:02:19.519786Z digest=sha256:54047c7755159bd296eac2ec33615f8f3c2deea42fb9dc4e27d7748653395f70

Observation f625c838-8a3d-486e-8c4b-140937959f6a · inbound

Do Coding Agents Understand Least-Privilege Authorization? cites this paper.

Do Coding Agents Understand Least-Privilege Authorization? IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 35

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arxiv_id, observed 2026-05-19T16:37:40.065771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T16:34:14.379419Z digest=sha256:486c64c6a2544213f644dd24de980c7d1ea2b40b444132e6026ffa5e0ee235c0

Observation 7fb17476-1010-48ef-9aeb-419f2bdf4209 · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 28

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arxiv_id, observed 2026-05-15T14:05:54.725239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T14:04:16.443346Z digest=sha256:4d0399ae534dae8880d5f1ded7be8c1845b3b5f05676320f6adeabe6549b0c11

Observation cd704187-e71d-4b24-8418-d591fe2c20fc · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 28

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unresolved
no resolver link, observed 2026-07-12T16:46:36.842198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:46:36.842198Z digest=sha256:f86e5f0efb9b090fc2d50d077bd9cbe2ac32899fb6c02ccb254ace65155017bf

Observation 32ada646-5123-4d50-a976-b3b0847f6fb2 · inbound

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries cites this paper.

Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 26

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unresolved
no resolver link, observed 2026-08-02T14:03:36.572657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:03:36.572657Z digest=sha256:5b8328bb7a0bfd6200779d000c0a41b45f31dd06a987221b1b797376109c579b

Observation 372a2561-62e1-43b1-b391-b055c51a39d6 · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 27

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arxiv_id, observed 2026-05-20T09:18:10.118396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T09:16:56.388348Z digest=sha256:5d8997e0d0f4c54d4052e1511d8ba3c42ef08746b8eb9ff997521022c543b5d4

Observation ea258e76-6498-43ca-b9f7-fa39d38762ed · inbound

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction cites this paper.

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 5

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arxiv_id, observed 2026-05-22T08:44:46.402536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T08:42:42.290493Z digest=sha256:6051fed9e81b2aed51ae857faaf36ca755f0bb9a2849e8d83ef68aaadeb23a2c

Observation 5585fcf8-f1dc-4204-943b-035cf85560e2 · inbound

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations cites this paper.

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 17

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arxiv_id, observed 2026-06-29T14:33:31.714458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T06:24:58.968035Z digest=sha256:cefc7a6dab5ad1832222227bdda8b2dd5a56fa5756168b7665306c2c986bbf3f

Observation 8d22ccb9-f1d1-459f-8a10-b1ed93dc43f5 · inbound

NeuroLog: Reasoning You Can Audit -- Neuro-Symbolic Vulnerability Discovery via LLM Facts, Datalog, and SMT cites this paper.

NeuroLog: Reasoning You Can Audit -- Neuro-Symbolic Vulnerability Discovery via LLM Facts, Datalog, and SMT IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 27

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arxiv_id, observed 2026-06-28T18:42:29.623484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T18:38:42.922884Z digest=sha256:4717c0cbcfb51b6e461e2bff6ec32fbc4e494ef60a797c3902db2fb130918ee8

Observation b360434a-64f9-4030-8404-47a85b1434e0 · inbound

Code-Augur: Agentic Vulnerability Detection via Specification Inference cites this paper.

Code-Augur: Agentic Vulnerability Detection via Specification Inference IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 50

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arxiv_id, observed 2026-07-04T00:49:19.594264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T20:53:08.283414Z digest=sha256:3a7cdf0fa73633ca26348ee0f03fbe0c874ebe1eda4e9c13679aa3a7e0348a5e

Observation d658acc3-cfb1-43de-a9b9-a913c9bf3a10 · inbound

MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale cites this paper.

MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 18

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verified exact
arxiv_id, observed 2026-07-01T11:35:43.210432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T04:18:45.773306Z digest=sha256:9f69828fdb08d0925c101e1d52e884ef0d72b699c8dc2b6d8206c7b42fb5c966

Observation c9c6c2b0-179f-4399-8f12-5f99e6fcab55 · inbound

JavaVulBench: A Java Vulnerability Benchmark with Realistic Splits, a Unified Multi-Backend Harness, and a Leakage-Aware Evaluation Mode cites this paper.

JavaVulBench: A Java Vulnerability Benchmark with Realistic Splits, a Unified Multi-Backend Harness, and a Leakage-Aware Evaluation Mode IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 21

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unresolved
no resolver link, observed 2026-07-12T06:49:02.530498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:49:02.530498Z digest=sha256:86124f5e3db6c2382c73c11b943b82ec37c41a684503f8f032e0485626b5cb24

Observation c4ca06de-4d01-4587-af61-1a41d2b59d65 · inbound

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing cites this paper.

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 31

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unresolved
no resolver link, observed 2026-07-13T05:34:48.774019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:34:48.774019Z digest=sha256:cb506507780d6ba0f171f690a3e86b670b007bf6a00356cfbe67a84b3331886c

Observation fb9f1b10-9170-4496-aa34-80b775c5e7e5 · inbound

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing cites this paper.

SeedSmith: LLM-Driven Seed Synthesis for Directed Fuzzing IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 29

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unresolved
no resolver link, observed 2026-08-02T07:50:02.518466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:50:02.518466Z digest=sha256:c8a94a40c1ed8bc217b6932cb714996f7908e6c4370e289fdc68a9967660b1c2

Observation 8fce2182-3477-4774-8ea9-091eba846627 · 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 IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 32

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

Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T01:18:31.914413Z digest=sha256:835d39e4732d3913448cd63f60e96c37fd190e7c299ddcb5148cf535c06e8446

Observation 4766774e-3c70-4e53-ab6d-4db5845622bb · inbound

Mystra: Declarative Dynamic Taint Analysis via Shadow Virtual Machine cites this paper.

Mystra: Declarative Dynamic Taint Analysis via Shadow Virtual Machine IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T06:39:58.169808Z

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source=pdf_text observed=2026-08-02T06:39:58.169808Z digest=sha256:e70cc3f568eb3ca7cf4699e5ef1521b6baf60fe5e2ff703a7a67426e62f5593c

Observation 9746730b-718b-4191-bc73-4a8518f11db9 · inbound

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments cites this paper.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T04:54:36.085008Z

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source=pdf_text observed=2026-07-31T04:54:36.085008Z digest=sha256:aea46a33b1406202ef7360044c5628a69d61bc577fc49ffb24b4d7dfc413f8c7