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Paper Citation Record · LEDGER

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2507.16585.

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

pith.paper-citation-record.v1
2507.16585 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:12:30.728545Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:24:49.781374Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy26
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bac9b707-dfb0-426f-a81d-b5ec7d82af54 · outbound

This paper cites Snopy: Bridging sample denoising with causal graph learning for effective vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Snopy: Bridging sample denoising with causal graph learning for effective vulnerability detection

Reference 1

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raw_fallback, observed 2026-08-06T15:12:31.378551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.554511Z digest=sha256:634778c3ba9d66a42309bc98115776b56c2a041085cfe5b37af5f5401d2d6f56

Observation 79c127e5-7162-439a-8f04-4b08f3943f52 · outbound

This paper cites Deep learning based vulnerability detection: Are we there yet.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Deep learning based vulnerability detection: Are we there yet

Reference 2

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raw_fallback, observed 2026-08-06T15:12:31.347951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.559149Z digest=sha256:3aa9d8764e4768b700b40bd90201ffa8c4100b68248cb75217c9289d0d4a45e1

Observation 36e7ef65-3baf-42ec-8adb-bf71632478c2 · outbound

This paper cites Vdda: An effective software vulnerability detection model based on deep learning and attention mechanism.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Vdda: An effective software vulnerability detection model based on deep learning and attention mechanism

Reference 3

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raw_fallback, observed 2026-08-06T15:12:31.317485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.564054Z digest=sha256:e0b97ad1712203716daa9521c26d32cba3a8eea0ea1f3b05842a26785b34ffe1

Observation f05abff6-1355-4033-a725-458176eef1b0 · outbound

This paper cites Diversevul: A new vulnerable source code dataset for deep learning based vulnerabil- ity detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Diversevul: A new vulnerable source code dataset for deep learning based vulnerabil- ity detection

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.279333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.567975Z digest=sha256:0a19fcaa2b4e19557252c22ab61fe931fbad63224ec2ff5b6d5b94549db3ded8

Observation 1d089c26-7360-40a5-aa4c-e286759d0b59 · outbound

This paper cites Vulnerability Detection with Code Language Models: How Far Are We?.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Vulnerability Detection with Code Language Models: How Far Are We?

Reference 5

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no resolver link, observed 2026-08-06T15:12:30.572299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.572299Z digest=sha256:c261677054807fd7d8a5129d770693aa8b949bced63713c0850e90500d288344

Observation bcab2999-c725-4d70-839f-4001068fd4a2 · outbound

This paper cites Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

Reference 6

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no resolver link, observed 2026-08-06T15:12:30.576571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.576571Z digest=sha256:d525dafe6bc6f45724245e78b1aa8ef020ee0d017b8844164fb8b348555be3b2

Observation 75bef3ce-fe7c-4f5f-adca-dbca05b37141 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 7

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no resolver link, observed 2026-08-06T15:12:30.580774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.580774Z digest=sha256:24fe417330db43d4c1e477dc7fff6ddd7c899634ffaec66331bc3eb82ae23681

Observation 77e29966-9376-4093-bbbd-8e9c2dc6338c · outbound

This paper cites Measuring nominal scale agreement among many raters.Psychological bulletin, 76(5):378, 1971.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Measuring nominal scale agreement among many raters.Psychological bulletin, 76(5):378, 1971

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:12:30.585205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.585205Z digest=sha256:6a5b0f55c6066a5416251c6647fb5e023dc225bb8898ebba26e8e3b58e907626

Observation 4ea0d7d6-f379-420b-964a-eb6a888a3950 · outbound

This paper cites Linevul: A transformer-based line-level vulnerability prediction.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Linevul: A transformer-based line-level vulnerability prediction

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.239604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.589441Z digest=sha256:db588dff4c256fecd2dcc585de05828d9d675ca04bb7ac618f583b58d4b34e55

Observation 7e8d7cfc-d9a3-401b-aff6-86861d850083 · outbound

This paper cites Gadelha, Felipe R.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Gadelha, Felipe R

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.213440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.593276Z digest=sha256:f5fb371aad7b057f591a23fde002e109d96f371ee6bb3a380adad430c57f7a55

Observation 9e32ce2a-dd48-4ccf-85f8-c1fe1ba83ccb · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 11

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no resolver link, observed 2026-08-06T15:12:30.598534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.598534Z digest=sha256:6dd64445f12ae96e3f853ff12f1e2eedcf3b341482f3676783c72bab3f37fce8

Observation 379ed821-e680-4bae-8d15-e0cfbd2033ce · outbound

This paper cites Graphcodebert: Pre-training code representations with data flow, 2021.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Graphcodebert: Pre-training code representations with data flow, 2021

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.198560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.602826Z digest=sha256:4e960398bd0a3bb377eec7304b4feaa32b3055dae3595761062fc88587b4bf9d

Observation 24b16ffa-4834-4e6a-8c7f-808e8d89224f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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no resolver link, observed 2026-08-06T15:12:30.607136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.607136Z digest=sha256:020ceeb41cacd22f07bc033f5673ecaedebf42fb248a1faea795ce068df00d7e

Observation 32633968-5148-443b-b674-c45ec1fe37cc · outbound

This paper cites VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:12:30.854031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.611299Z digest=sha256:6a632f29a46d045c83e82b8201faa6ae92facc33d073a6e25f037bc864c561da

Observation 812d41f9-1194-425a-9cb4-e332c8941441 · outbound

This paper cites Large language models for code: Security hardening and adversarial testing.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Large language models for code: Security hardening and adversarial testing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.180366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.615880Z digest=sha256:2a833bc959df0bf70a0bcf7bd2cba6935a528025d8749ef086028ee36b310fa6

Observation 4e4a0155-e5ff-4cf4-afa1-0e745040c3d4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

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no resolver link, observed 2026-08-06T15:12:30.619674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.619674Z digest=sha256:43c4040ae141f4335c6679ec06d24aec042444c7621e31ae02ed1efc83b8f72d

Observation 829c32ca-f362-47b2-aea5-b79420eb1e8a · outbound

This paper cites The measurement of observer agreement for categorical data.biometrics, pages 159–174, 1977.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models The measurement of observer agreement for categorical data.biometrics, pages 159–174, 1977

Reference 17

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no resolver link, observed 2026-08-06T15:12:30.623533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.623533Z digest=sha256:f2983e6c43f55edbe855f1b159157420c1dee4908342a956638992d985b07b7d

Observation fe03c785-969d-48ef-b8d8-12c6b4435978 · outbound

This paper cites Vulner- ability detection with fine-grained interpretations.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Vulner- ability detection with fine-grained interpretations

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.156265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.627870Z digest=sha256:847af14c33f07440365ed9ffa5b15e2f9dddc04a209a6cceb0a57bd7e8e0e485

Observation f7bd34e5-bf60-4270-873e-d45b9ee9345e · outbound

This paper cites Sysevr: A framework for using deep learning to detect software vulnerabilities.IEEE Transactions on Dependable and Secure Computing, 19(4):2244–2258, 2021.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Sysevr: A framework for using deep learning to detect software vulnerabilities.IEEE Transactions on Dependable and Secure Computing, 19(4):2244–2258, 2021

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.137826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.635435Z digest=sha256:198cd031a5cb7b60980202f38a8532726d8cd53d5c3b5d365c7d32a54f3486d1

Observation 74590598-385f-4249-83b7-74e7668fadec · outbound

This paper cites VulDeePecker: A Deep Learning-Based System for Vulnerability Detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:30.644161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.644161Z digest=sha256:4a386fc9967003e56757197c059dd0af8a1470ef07530bdd99d304047a11d31c

Observation 9e5d4a06-fc14-46f0-90f9-acef2b21df06 · outbound

This paper cites Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:12:30.811115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.648187Z digest=sha256:aa782c4e3a58fb9f4bf7d94c61b6c3631d4b2fa3f62f4cc3ed128729785f05e8

Observation 0796e58c-c8c2-4506-b521-b9c73bdbf99d · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:30.652023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.652023Z digest=sha256:32844295376bb9ce0db879bb50e4dc06b4ed420f91b551fb0a5638aaf9698d84

Observation c9e45761-1d00-46e9-9771-f04161597cf3 · outbound

This paper cites Regvd: Revis- iting graph neural networks for vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Regvd: Revis- iting graph neural networks for vulnerability detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.124813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.655722Z digest=sha256:e3d2391631800c22cc434ed0e49705d28f08fb403b5d3a37d9eb790e1da87c64

Observation 93ce6421-4f82-432a-986a-1ff1ae39f7fc · outbound

This paper cites Uncovering the limits of machine learning for automatic vulnerability detec- tion.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Uncovering the limits of machine learning for automatic vulnerability detec- tion

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.113239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.659350Z digest=sha256:a8de42ca31925aaaaaf78712c59c42d85034cff283b93036ec8982dd73d3b9d5

Observation 5e6e074e-4187-41ee-9bb3-fdfca6eca9e0 · outbound

This paper cites Automated vulnerability detection in source code using deep representation learning.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Automated vulnerability detection in source code using deep representation learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.102367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.663055Z digest=sha256:0e85851037db4ea1a24894a8a9d1637977da3adc5d359fdcea98cb95421d273e

Observation 225d877f-b53b-4a91-8b94-d69df4341f3c · outbound

This paper cites Reveal.Transgender Studies Quar- terly, 1(1-2):176–177, 2014.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Reveal.Transgender Studies Quar- terly, 1(1-2):176–177, 2014

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.087539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.666847Z digest=sha256:43757cf0478324785c2ca38bd961900a27505810212db00e435e30a60026bc8e

Observation 2e46db60-ca45-4215-aadc-3fc317986681 · outbound

This paper cites Vulsim: Leveraging similarity of multi-dimensional neighbor embeddings for vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Vulsim: Leveraging similarity of multi-dimensional neighbor embeddings for vulnerability detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.075129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.670623Z digest=sha256:bfe9b5f739c41891c4b226ef1d175d7eefff95e6fcb12d1e70d8df2ba48c4a74

Observation 4e54aca4-d131-4921-9ac4-3568bf292b03 · outbound

This paper cites Number of Common Vul- nerabilities and Exposures (CVE) reported worldwide from 1999 to 2024, 2024.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Number of Common Vul- nerabilities and Exposures (CVE) reported worldwide from 1999 to 2024, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.060914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.674464Z digest=sha256:201c9e582783d5ff8df800fc1f4035ab527930d7dedbb307a32998350d076b03

Observation 8ced7b13-2cff-46ea-b01a-0808b0a7899d · outbound

This paper cites Scale-Aware Crowd Count Network with Annotation Error Correction.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Scale-Aware Crowd Count Network with Annotation Error Correction

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:12:30.781696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.678609Z digest=sha256:18a81429046d4e7cf3e5c6e88a36ee72be0547924ba936c274bb3416e7d880ee

Observation e0af94b0-81a1-4d29-b1dd-82fd48f3cca2 · outbound

This paper cites An empirical study of deep learning models for vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models An empirical study of deep learning models for vulnerability detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.047398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.682952Z digest=sha256:3dcbcdeadbb4949523b5d6a8e35862f1981f1dc24dff13dc4254de9db73a7812

Observation d99cac54-d1cd-44da-947b-5b011a6ffec9 · outbound

This paper cites Cordeiro.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Cordeiro

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.033630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.687253Z digest=sha256:91c0ebf9469bcc4a0fc34befd1d5723569347977324c032079a84f3608a8a8a1

Observation 92888829-44e5-4aba-8d69-2360b0ac7b8c · outbound

This paper cites Combining graph- based learning with automated data collection for code vulnerability detection.IEEE Transactions on Informa- tion Forensics and Security, 2020.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Combining graph- based learning with automated data collection for code vulnerability detection.IEEE Transactions on Informa- tion Forensics and Security, 2020

Reference 34

Resolution
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raw_fallback, observed 2026-08-06T15:12:31.021043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.691192Z digest=sha256:b0a73c85274ff474a6d6117eb724fe7e40721b78da8f518b808da10f2118529b

Observation 834bcf52-085b-4d9a-92d3-6c137bf73b1b · outbound

This paper cites Reposvul: A repository- level high-quality vulnerability dataset.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Reposvul: A repository- level high-quality vulnerability dataset

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:31.008479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.695461Z digest=sha256:5bcacad5a709c7bbacc5dd67c3e198e54c2b7df5216d52aeea503dfcd874e879

Observation 69dfb061-3457-45f5-9421-3974b7bb3c7d · outbound

This paper cites Program slicing.IEEE Transactions on Software Engineering, SE-10(4):352–357, 1984.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Program slicing.IEEE Transactions on Software Engineering, SE-10(4):352–357, 1984

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.994647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.699289Z digest=sha256:4f0141fd76d68d1edd39181a3e810bf61dd746287f009d39ab4696fe696dd08b

Observation 9abd1d41-505e-445c-990a-2e45d4695c02 · outbound

This paper cites Ultravcs: Ultra-fine-grained variable- based code slicing for automated vulnerability detection.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Ultravcs: Ultra-fine-grained variable- based code slicing for automated vulnerability detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.980947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.703247Z digest=sha256:c5d203a053db063615608ad8dbc707ade685c88961c51308fcefeb4a35cf2120

Observation a7346ef6-a2e7-4f1b-823e-0091daf83445 · outbound

This paper cites MVP: Detecting vulnera- bilities using Patch-Enhanced vulnerability signatures.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models MVP: Detecting vulnera- bilities using Patch-Enhanced vulnerability signatures

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.967149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.708387Z digest=sha256:eb5775406e3d4935a7baf7c94ef39692642ff28f2998afb86357e5ea9af01217

Observation 3f8cce22-cdb5-4862-a3c2-48c8de3cd36d · outbound

This paper cites Modeling and discovering vulnerabilities with code property graphs.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Modeling and discovering vulnerabilities with code property graphs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.954286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.715662Z digest=sha256:50479d9ac2efdecb9ab2635791979bf3facd6635c7bdffb711980d30bb2f98df

Observation a5996101-9886-48be-9ba0-d4114f7abe23 · outbound

This paper cites Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:30.720089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:30.720089Z digest=sha256:dd99a2071c1815dbe069ec8f09d38332cc6c0d80b8cffd9e6cdad6be8546f34c

Observation 55483406-fad2-4a42-afa8-8ab7c037b6da · outbound

This paper cites Cpvd: Cross project vulnerability detection based on graph attention network and domain adaptation.IEEE Transactions on Software Engineering, 2023.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models Cpvd: Cross project vulnerability detection based on graph attention network and domain adaptation.IEEE Transactions on Software Engineering, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.941176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.724921Z digest=sha256:81268a881a59d73e137c499594d0ed775ca60fbd449de5db07c0612c7a022423

Observation b1702fb5-f4ab-4a47-9ee0-3960f5e3c95e · outbound

This paper cites queries": Sequence of CPGQL queries to detect vulnerability Expected JSON Output Format: {.

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models queries": Sequence of CPGQL queries to detect vulnerability Expected JSON Output Format: {

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:12:30.929139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:12:30.728545Z digest=sha256:2950747ad941004654704463fa14b3474965828cbaa56746dbc14b6fe3d0186d

Pith citing papers

Observation 7ee68ffd-a58a-48d4-b596-ce3e53517c18 · inbound

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection cites this paper.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T14:24:49.781374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:24:49.781374Z digest=sha256:41baa9d0a70631ac00ada1529cfbabd3ad539078952b7ba9ac3d8a07441a360d

Observation 1b5da40e-d9ab-4635-8e1d-565610a0369b · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-02T05:18:41.645471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-02T05:13:51.813575Z digest=sha256:11190439238992ca9cc5893f60f5a88a3b482c144d967ae21648cc6381841c85