Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:52.662601Z
Paper Citation Record · LEDGER
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
As of 11 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 4 inbound Pith citation observations for arXiv:2501.03446.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:55.726026Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:16:11.629737Z
Reference resolution
100 of 113 outbound references displayed
- verified exact0
- verified fuzzy50
- unresolved49
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ae2925c2-c3e9-49a3-b4a5-96320c6da004 · outbound
This paper cites Fulton, James Parker, Matthew Hou, Michelle L.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Fulton, James Parker, Matthew Hou, Michelle L
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.181352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bbcc187-1b48-4237-bca5-993b447338bd · outbound
This paper cites Trend analysis of the cve for software vulnerability management.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Trend analysis of the cve for software vulnerability management
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.186908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6e52dac-85a0-4f9a-ba6d-e8df91a46d4e · outbound
This paper cites 2023 inter- net crime report.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models 2023 inter- net crime report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.192673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46cd25f6-f7f4-40b7-8011-2256b99136c0 · outbound
This paper cites The law and economics of bug bounties, August 2018.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models The law and economics of bug bounties, August 2018
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.197498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d071d9d5-8a4c-4767-9dd3-5bdf67af8198 · outbound
This paper cites A Large-Scale interview study on informa- tion security in and attacks against small and medium-sized enterprises.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A Large-Scale interview study on informa- tion security in and attacks against small and medium-sized enterprises
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.202298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f14cc867-1690-4d4f-99d2-c52cf5c90494 · outbound
This paper cites Second annual state of ransomware report: Survey results for aus- tralia.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Second annual state of ransomware report: Survey results for aus- tralia
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.207136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbe582df-562e-4b79-8fc4-938716cd28a3 · outbound
This paper cites Collide+Power: Leaking inaccessible data with software-based power side channels.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Collide+Power: Leaking inaccessible data with software-based power side channels
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.212088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf4e6173-4888-4141-8ff3-2b7273a37f98 · outbound
This paper cites 50 ways to leak your data: An exploration of apps’ circumven- tion of the android permissions system.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models 50 ways to leak your data: An exploration of apps’ circumven- tion of the android permissions system
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.217536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b53a1238-e0ec-4814-a0d8-1e67206b0702 · outbound
This paper cites Perspectives on the solarwinds incident.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Perspectives on the solarwinds incident
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.222308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fa7d576-9586-444e-bf4d-1acfc3c7d93e · outbound
This paper cites Al Hawari.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Al Hawari
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.226940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11569745-6dc1-474e-8890-fccba6a34f3c · outbound
This paper cites PASAN: Detecting pe- ripheral access concurrency bugs within Bare-Metal embedded applications.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models PASAN: Detecting pe- ripheral access concurrency bugs within Bare-Metal embedded applications
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.231758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ae825f-2778-49a7-9339-10f3c786dbd7 · outbound
This paper cites Sharing more and checking less: Leveraging common input keywords to detect bugs in em- bedded systems.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Sharing more and checking less: Leveraging common input keywords to detect bugs in em- bedded systems
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.236459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3605835-fb76-42b2-af17-410bf92bcd31 · outbound
This paper cites FIE on firmware: Finding vulnerabilities in embedded systems using symbolic execution.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models FIE on firmware: Finding vulnerabilities in embedded systems using symbolic execution
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.245647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f45351c-80c8-41c5-ac40-c0a3797414cf · outbound
This paper cites Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.250406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 843e1445-4f32-4bc3-a9fa-c2f721eca73d · outbound
This paper cites Vincent Poor.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Vincent Poor
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.255034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b99aa08-4832-4bd9-91d3-11d56f2a11bd · outbound
This paper cites A comprehensive study of autonomous vehicle bugs.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A comprehensive study of autonomous vehicle bugs
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.260448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffd69a0e-5317-4634-8095-3e8ff5cfb08d · outbound
This paper cites Drivefuzz: Discover- ing autonomous driving bugs through driving quality-guided fuzzing.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Drivefuzz: Discover- ing autonomous driving bugs through driving quality-guided fuzzing
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.265125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b86d1898-e02a-4af2-b761-5d88a17457aa · outbound
This paper cites Linux kernel.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Linux kernel
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.270133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a0e314c-ba40-4232-a117-d32439905a62 · outbound
This paper cites an unresolved cited work.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.274899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6574ddd7-43fc-4b1e-a762-c75a13a12a2e · outbound
This paper cites Anal- ysis of common vulnerabilities and exposures to produce security trends.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Anal- ysis of common vulnerabilities and exposures to produce security trends
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.280398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1218a343-4195-4251-a8a1-17b70fb14962 · outbound
This paper cites CVE - MITRE.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models CVE - MITRE
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.284882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab574086-7bc8-4215-abbd-1202ebb9b4bd · outbound
This paper cites A comparative study of automatic pro- gram repair techniques for security vulnerabili- ties.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A comparative study of automatic pro- gram repair techniques for security vulnerabili- ties
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.289725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9254678-d148-4160-a45a-9c9562105b02 · outbound
This paper cites Pre-trained model-based automated software vulnerability repair: How far are we? IEEE Transactions on Dependable and Secure Computing, pages 1–18, 2023.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Pre-trained model-based automated software vulnerability repair: How far are we? IEEE Transactions on Dependable and Secure Computing, pages 1–18, 2023
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.294195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 661d2612-532c-43b8-a084-975fe8af92b3 · outbound
This paper cites Vulrepair: a t5-based automated software vulnerability repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Vulrepair: a t5-based automated software vulnerability repair
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.298900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb24b20d-74ed-42cc-a3f6-55c5f05bb2b0 · outbound
This paper cites History and future of auto- mated vulnerability analysis.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models History and future of auto- mated vulnerability analysis
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.308346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9d24674-7925-4fe0-b294-8d7ece0fbeca · outbound
This paper cites Vision transformer inspired automated vul- nerability repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Vision transformer inspired automated vul- nerability repair
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.312998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cff95ea1-6458-44bd-ad6e-ae2c7a10c5f1 · outbound
This paper cites Learning to repair software vulner- abilities with generative adversarial networks.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Learning to repair software vulner- abilities with generative adversarial networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.317822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 323affac-3e03-4cb2-a075-633218d1ecc6 · outbound
This paper cites Bis- syand´ e.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Bis- syand´ e
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.322261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84d0407e-e027-454a-96b8-1f89dd8ea09b · outbound
This paper cites Quality of au- tomated program repair on real-world defects.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Quality of au- tomated program repair on real-world defects
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.326946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ac3219b-eb12-452d-869e-c569963c7af3 · outbound
This paper cites A survey of learning-based automated program repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A survey of learning-based automated program repair
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.331354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ca8f32d-0366-473b-8568-9cee5d1d4db5 · outbound
This paper cites an unresolved cited work.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Unresolved cited work
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.336022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation febe9bf9-12c5-4220-983a-4ca18e73e477 · outbound
This paper cites How long do vulnerabilities live in the code? a Large-Scale empirical measure- ment study on FOSS vulnerability lifetimes.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models How long do vulnerabilities live in the code? a Large-Scale empirical measure- ment study on FOSS vulnerability lifetimes
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.153749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1886cc35-d29c-4009-8838-523f84c9bc3e · outbound
This paper cites Is your code gener- ated by chatgpt really correct? rigorous eval- uation of large language models for code gen- eration.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Is your code gener- ated by chatgpt really correct? rigorous eval- uation of large language models for code gen- eration
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.136837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e30cdfa6-3423-4397-9935-a222e329f345 · outbound
This paper cites Hello gpt-4o — openai, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Hello gpt-4o — openai, 2024
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.122321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a1e6300-88a5-413c-930b-f1e4da01e9ec · outbound
This paper cites Meta llama 3, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Meta llama 3, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.107859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0116e329-e1c9-487d-be1d-f3af58eb6274 · outbound
This paper cites Code llama: Open foundation models for code, 2023.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Code llama: Open foundation models for code, 2023
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.092582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2eb7c1fd-11a6-4d37-ad78-79f58104b7a8 · outbound
This paper cites Few-shot parameter- efficient fine-tuning is better and cheaper than in-context learning.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Few-shot parameter- efficient fine-tuning is better and cheaper than in-context learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.077721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 490477fa-9ab8-4d72-83c1-acf3957d55f6 · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.370239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 413a00af-7aa0-4e93-a000-0f417e5e3d80 · outbound
This paper cites Few-shot parameter-efficient fine- tuning is better and cheaper than in-context learning, 2022.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Few-shot parameter-efficient fine- tuning is better and cheaper than in-context learning, 2022
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.053144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b165c95f-6624-43c9-ac24-1345a48869fb · outbound
This paper cites Doctorglm: Fine-tuning your chinese doctor is not a herculean task, 2023.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Doctorglm: Fine-tuning your chinese doctor is not a herculean task, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.038115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation faff34c8-6bb3-4b8f-a441-6207415655c2 · outbound
This paper cites an unresolved cited work.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:57:54.022846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2adc7eb2-2afc-4334-92d8-b0226f6edbe5 · outbound
This paper cites Large language models are human-level prompt engineers.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Large language models are human-level prompt engineers
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:54.006938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 889a2317-80c6-49d5-b34c-8574e5438a00 · outbound
This paper cites Interac- tive and visual prompt engineering for ad-hoc task adaptation with large language models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Interac- tive and visual prompt engineering for ad-hoc task adaptation with large language models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.991257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 86af90c8-58c2-465d-b611-f83bc2203f02 · outbound
This paper cites Conversing with copilot: Exploring prompt engineering for solving cs1 problems us- ing natural language.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Conversing with copilot: Exploring prompt engineering for solving cs1 problems us- ing natural language
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.975612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 97da280a-7df2-438b-986d-0fe6addb178b · outbound
This paper cites NVD - Home.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models NVD - Home
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.961104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66b8125e-3c41-4d31-b76c-b0f766c933ba · outbound
This paper cites Householder, Jeff Chrabaszcz, Trent Novelly, David Warren, and Jonathan M.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Householder, Jeff Chrabaszcz, Trent Novelly, David Warren, and Jonathan M
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.945982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5e06d3d-39f8-42d9-801b-f9eb33c2966d · outbound
This paper cites Avizienis, J.-C.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Avizienis, J.-C
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.929632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cd3fc1ed-db8b-49ec-8d00-fac194677518 · outbound
This paper cites Automatic software repair: A bibliography.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Automatic software repair: A bibliography
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.911418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 184cee13-e664-43c0-9bf0-d9175e2206f3 · outbound
This paper cites Rampo: A cegar-based integration of binary code analysis and system falsification for cyber- kinetic vulnerability detection.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Rampo: A cegar-based integration of binary code analysis and system falsification for cyber- kinetic vulnerability detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.895665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fece7b2e-d55e-4609-9ff5-f52dfe5bcab3 · outbound
This paper cites Path sensitive static analysis of web applications for remote code execution vulnerability detec- tion.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Path sensitive static analysis of web applications for remote code execution vulnerability detec- tion
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.879914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2963cedd-12d7-410b-8521-eba93e3172ec · outbound
This paper cites Vuldeepecker: A deep learning-based system for vulnerability detection.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Vuldeepecker: A deep learning-based system for vulnerability detection
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.864085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 62faaf0a-db9b-46f9-9ddc-940bba44462a · outbound
This paper cites Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering , 48(9):3280–3296, 2021.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering , 48(9):3280–3296, 2021
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.434662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33fa46b6-1a46-479d-b2c4-75cf6d804d37 · outbound
This paper cites Automatic vulnera- bility detection using static source code analy- sis.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Automatic vulnera- bility detection using static source code analy- sis
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.839779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 88eb2f87-0bb6-4bea-acae-f56a61e9f84c · outbound
This paper cites Conversational Automated Program Repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Conversational Automated Program Repair
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.443919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 034d3428-7111-46c3-873c-c49add1bf326 · outbound
This paper cites Optimal sanitization synthesis for web application vulnerability repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Optimal sanitization synthesis for web application vulnerability repair
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.824316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8daac89f-a854-4441-9156-7a1c5ded5684 · outbound
This paper cites Beyond tests: Program vulnerability repair via crash constraint extraction.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Beyond tests: Program vulnerability repair via crash constraint extraction
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.807823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ea910d83-59ca-4db0-88d9-5a4fcef00549 · outbound
This paper cites Using the nist cybersecurity framework in your vulnerability management process.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Using the nist cybersecurity framework in your vulnerability management process
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.792402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19184a7d-ba0c-4740-99c3-0eee08f8d40f · outbound
This paper cites Attention Is All You Need.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Attention Is All You Need
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.462360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33a7aaeb-ee33-4415-ae27-79184fcc15bc · outbound
This paper cites Large lan- guage models can be easily distracted by irrel- evant context.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Large lan- guage models can be easily distracted by irrel- evant context
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.776862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04de1c3c-c069-44d0-b060-369aad2bb757 · outbound
This paper cites Big bird: Transformers for longer sequences.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Big bird: Transformers for longer sequences
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.761870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 12b42127-9aa9-4b3e-acf2-59c7e8cea059 · outbound
This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.746169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae01893e-ccde-4a72-9072-9e79707e80b8 · outbound
This paper cites Language models are few-shot learners.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Language models are few-shot learners
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.731010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ac78cf6-6e7d-4a9b-9c30-170d05b8f333 · outbound
This paper cites Gpt-4 architecture, datasets, costs and more leaked.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Gpt-4 architecture, datasets, costs and more leaked
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.715662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4321bfed-0506-4767-ade9-d04dfd408c24 · outbound
This paper cites Emergent Abilities of Large Language Models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Emergent Abilities of Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.491303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e98e4a8-d8ab-4abe-9920-d26142a8ccd3 · outbound
This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Informa- tion Processing Systems, 36, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Are emergent abilities of large language models a mirage? Advances in Neural Informa- tion Processing Systems, 36, 2024
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.699671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93de086d-1b4b-44c2-85ea-4b9977987eae · outbound
This paper cites Openai — pricing.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Openai — pricing
Reference 67
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-10T21:57:53.683822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a6ff048-15e6-4580-8366-8624b30c84a1 · outbound
This paper cites Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.505815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55751b35-c872-4ddb-9853-f6f749623a39 · outbound
This paper cites Few-shot parameter- efficient fine-tuning is better and cheaper than in-context learning.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Few-shot parameter- efficient fine-tuning is better and cheaper than in-context learning
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.668115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a8490d30-3adb-4467-b312-da9d8216a488 · outbound
This paper cites On the effectiveness of parameter-efficient fine- tuning.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models On the effectiveness of parameter-efficient fine- tuning
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.652841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 80573a82-67f1-4828-9c20-84a28410f1c3 · outbound
This paper cites Qlora: Efficient finetuning of quantized llms.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Qlora: Efficient finetuning of quantized llms
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.638368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7d7bc0cd-4add-4191-9797-9e81c1928508 · outbound
This paper cites Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.523975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61500742-96a5-48c0-bfbf-84cbc442b06e · outbound
This paper cites Mixture- of-experts with expert choice routing.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Mixture- of-experts with expert choice routing
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.624303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 39dfa593-8624-453c-8756-0718e6448ca0 · outbound
This paper cites Glam: Efficient scaling of language models with mixture-of-experts.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Glam: Efficient scaling of language models with mixture-of-experts
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.608860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 63cd8aad-358f-4533-9ea0-ee24ee7c7a65 · outbound
This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Efficient Large Scale Language Modeling with Mixtures of Experts
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.538168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 458e80d6-c489-4af7-9228-be4bdca0726d · outbound
This paper cites What does clip know about a red circle? visual prompt engineer- ing for vlms.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models What does clip know about a red circle? visual prompt engineer- ing for vlms
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.594298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8998a390-cba2-488b-b03f-d9bf146cd046 · outbound
This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.547405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6cc6cb3-a35e-4802-9545-ad0a126995bc · outbound
This paper cites Chain-of-thought prompt- ing elicits reasoning in large language models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Chain-of-thought prompt- ing elicits reasoning in large language models
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.579037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 74ae51cd-064c-4728-95bb-beadf93fadfe · outbound
This paper cites Large language models are zero-shot reasoners.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Large language models are zero-shot reasoners
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.563907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ced3305a-d533-4d79-90b5-69b085560de3 · outbound
This paper cites Automated code repair to ensure spatial memory safety.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Automated code repair to ensure spatial memory safety
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.549058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0a02d83c-579e-4005-afa8-1b17d73834b4 · outbound
This paper cites Challenges for static analysis of java reflection-literature review and empirical study.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Challenges for static analysis of java reflection-literature review and empirical study
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.534124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b43a9e7c-dbd6-42ab-8fb4-2f7c449c1d26 · outbound
This paper cites Neural transfer learning for repairing security vulnerabilities in c code.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Neural transfer learning for repairing security vulnerabilities in c code
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.519718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 715d03ed-1498-40b2-b114-dc4de2d0d12b · outbound
This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.575000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bebde30-d776-4726-b478-dd6f0f1b3759 · outbound
This paper cites No man is an island: Towards fully auto- matic programming by code search, code gen- eration and program repair, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models No man is an island: Towards fully auto- matic programming by code search, code gen- eration and program repair, 2024
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.505483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5e132dd1-2691-419f-97ad-2cb25f8bee06 · outbound
This paper cites Fixing code generation errors for large language models, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Fixing code generation errors for large language models, 2024
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.490730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9018707-4c63-411b-9d86-37d55655730c · outbound
This paper cites Can large lan- guage models reason about program invariants? In International Conference on Machine Learn- ing, pages 27496–27520.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Can large lan- guage models reason about program invariants? In International Conference on Machine Learn- ing, pages 27496–27520
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.475202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad5155bb-94ba-43dd-a62a-41d716c91f02 · outbound
This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.593434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d10af050-4424-46e1-ad87-17eb3dcba8a5 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Evaluating Large Language Models Trained on Code
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.598055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63846107-431d-44ff-9ac8-4b763c116a2b · outbound
This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.602575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bda8f3f1-2ad9-4268-9eb4-8fbd755d2f72 · outbound
This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.607552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9d86957-25f2-4614-a4ba-f5c6289d1b92 · outbound
This paper cites Safe: Advancing large language models in leveraging semantic and syntactic relationships for soft- ware vulnerability detection, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Safe: Advancing large language models in leveraging semantic and syntactic relationships for soft- ware vulnerability detection, 2024
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.460409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b425345c-31f3-4e33-bcec-709bc4a8558b · outbound
This paper cites Autosafe- coder: A multi-agent framework for securing 21 llm code generation through static analysis and fuzz testing, 2024.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Autosafe- coder: A multi-agent framework for securing 21 llm code generation through static analysis and fuzz testing, 2024
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.445094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation da3d90ed-f3e1-43d1-8f7c-7a14f8550d6f · outbound
This paper cites A systematic eval- uation of large language models of code.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models A systematic eval- uation of large language models of code
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.430548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 580f98aa-6d9b-4712-a6a3-f0bc884115ed · outbound
This paper cites Llm4plc: Harnessing large language models for verifiable programming of plcs in industrial control systems.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Llm4plc: Harnessing large language models for verifiable programming of plcs in industrial control systems
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.414817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e2a012c-7804-4a48-9b16-928e6cd85852 · outbound
This paper cites Multi-objective fine-tuning for enhanced program repair with llms.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Multi-objective fine-tuning for enhanced program repair with llms
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.629943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35c190ab-825f-4197-88d2-fbe9792119ad · outbound
This paper cites RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
Reference 96
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.634298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebf5225e-bc4f-48d0-9cf5-145c7a286190 · outbound
This paper cites Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:52.638900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d29f441c-1585-4e01-9e28-2e9e4f47a8b4 · outbound
This paper cites Inferfix: End-to-end pro- gram repair with llms.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Inferfix: End-to-end pro- gram repair with llms
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.400175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f3dcfc1f-14de-4ce5-bba2-8d2ba2186f04 · outbound
This paper cites Automated program repair in the era of large pre-trained language models.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Automated program repair in the era of large pre-trained language models
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.385100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 01b3cb1d-eac7-489f-be21-6b4d8b385ff5 · outbound
This paper cites Repair is nearly generation: Mul- tilingual program repair with llms.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Repair is nearly generation: Mul- tilingual program repair with llms
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.369538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a98ebf6d-f026-40a3-b457-19aec843138e · outbound
This paper cites Better patching using llm prompting, via self- consistency.
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models Better patching using llm prompting, via self- consistency
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:53.354386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 4f2e53ef-c44e-409e-983a-677fbb8cd1d1 · inbound
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study cites this paper.
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:55.726026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 984f3185-c680-4a74-8595-a4cc87c636c0 · inbound
The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee cites this paper.
The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:22:03.946037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0939b079-9d7f-4cad-adf8-5d03d6f8e314 · inbound
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation cites this paper.
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:40:59.442065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d9f28da-ea4b-44f5-b8d2-b9ac4ce47d00 · inbound
Ladder Logic Translation using Large Language Models in Industrial Automation cites this paper.
Ladder Logic Translation using Large Language Models in Industrial Automation LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T20:16:11.631322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.