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Paper Citation Record · LEDGER

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection

As of 22 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2412.08068.

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

pith.paper-citation-record.v1
2412.08068 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:18:22.799204Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:37:07.287567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T18:42:37.205136Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact1
  • verified fuzzy65
  • unresolved12
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 656225fa-560e-4a0b-b146-b95e90cbe078 · outbound

This paper cites Number of common it security vulnerabilities and exposures (cves) worldwide from 2009 to 2024 ytd,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Number of common it security vulnerabilities and exposures (cves) worldwide from 2009 to 2024 ytd,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.583036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4a7e8836-b049-4b28-898b-1bc8df4adbbc · outbound

This paper cites LIV ABLE: exploring long-tailed classification of software vulnerability types,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection LIV ABLE: exploring long-tailed classification of software vulnerability types,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.561311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.081932Z digest=sha256:8b2c9516d3d92b6c2178b18dff2932a9f649c37af2112b0563e56724273c04b7

Observation d5c88ef0-5841-41df-8a15-46f520c2b608 · outbound

This paper cites An empirical analysis of the impact of software vulnerability announcements on firm stock price,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection An empirical analysis of the impact of software vulnerability announcements on firm stock price,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.548455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.150727Z digest=sha256:f267b406588caa81e4988646f6558bdb2d53814cddc108c31f5dfc2e314a56eb

Observation db295002-7cbc-41ba-93a8-f7b415eaeaa8 · outbound

This paper cites When less is enough: Positive and unlabeled learning model for vulnerability detection,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection When less is enough: Positive and unlabeled learning model for vulnerability detection,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.389060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.223962Z digest=sha256:f4accd4ab067dfbf7153f1ec4ca0d57a0b140b6cbf34549dc7a04e722b4cdc6b

Observation 56784b05-85fa-45b1-8ca9-1b0ee6fce6e2 · outbound

This paper cites an unresolved cited work.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-11T18:18:24.337323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.228573Z digest=sha256:2d75bdc4ab904d9961ef329c4a61cb35f936273fbf1f2437f4e8db0e8527a78d

Observation ed498fa4-015b-4025-aa43-9b1b11dead8f · outbound

This paper cites (2024) 2024 open source security and risk analysis report.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection (2024) 2024 open source security and risk analysis report

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.325125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.248603Z digest=sha256:0e315efc9750679d1ae11f563ab8e5b524aa88552beca41f2670f5b4be8a12f0

Observation 074c9b90-a228-40e9-b4a7-26ad1d997bcb · outbound

This paper cites Detecting.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Detecting

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.295505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.319159Z digest=sha256:391db2897ac13db4ef71f15901d63c7af3237b1cbcac307a4f231c5e10cfe0bd

Observation 9db5e18b-3ecd-4d8e-a3fd-75ffaf25b314 · outbound

This paper cites Subjectivity reduction of qualitative approach in information security risk analysis,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Subjectivity reduction of qualitative approach in information security risk analysis,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.150771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.356833Z digest=sha256:ab95aeeb2e61928d80a5d38a662194295b08803f7d7191d83864197212f7a881

Observation 042e76c2-bf5b-462b-a605-c9299166433b · outbound

This paper cites A large-scale empirical study of security patches,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection A large-scale empirical study of security patches,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.069090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.370016Z digest=sha256:dd4a4aeb474dd7cc93db7f41274a4c6db6b682a76022409ca78d543b39172eb0

Observation 6ce6434f-9883-425a-a888-908f84c1d1d1 · outbound

This paper cites Can automated pull requests encourage software developers to upgrade out-of-date dependencies?.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Can automated pull requests encourage software developers to upgrade out-of-date dependencies?

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.056696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.381252Z digest=sha256:2253ec5574670299208c8b2123e2daf037efacd802a12cc577a26a939ca783f9

Observation 2a5508e9-fe4f-4fd9-8de0-85e0e11923c5 · outbound

This paper cites When would this bug get reported?.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection When would this bug get reported?

Reference 11

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raw_fallback, observed 2026-08-11T18:18:24.043548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.408445Z digest=sha256:8fa5a86111c5150d594e14aee95edca4266b16d4a1e12bd13f583fcbd995d4e4

Observation 87492d80-d6d2-4246-bec6-e661caef6e4e · outbound

This paper cites (2024) Cve-2024-24919 detail.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection (2024) Cve-2024-24919 detail

Reference 12

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raw_fallback, observed 2026-08-11T18:18:23.902864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.526730Z digest=sha256:06ebc71213168ba48dc4178889c85915ec78f32f93f00e3978debe0ab68f8e96

Observation d3420fb0-480e-4bd3-9b34-8ab449ccdee9 · outbound

This paper cites an unresolved cited work.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:18:23.758398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.538603Z digest=sha256:019223a5fe3f293c89dbefa09a7fa6ff5bf025d7ffe8417cc71dff27e495d7f0

Observation a29b13be-fdcd-46a3-b316-bb3ee9b1a87b · outbound

This paper cites How about bug-triggering paths?-understanding and characterizing learning-based vulnerability detectors.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection How about bug-triggering paths?-understanding and characterizing learning-based vulnerability detectors

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.746601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.543111Z digest=sha256:82d81cae7d7bc53332e78d2de9f5f10c175d4dbc300d4bf8dee6a51b44e370d4

Observation 57c1ba89-e1a5-4ff2-a2ee-a64a93a7529f · outbound

This paper cites Multi-task framework of precipitation nowcasting,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Multi-task framework of precipitation nowcasting,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.733704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.564984Z digest=sha256:6ec7df311593b4481d75747cc6b051b61394c8cee9c03b39b733cab41f33a93d

Observation 54a570a6-a6d8-4a39-b2fb-72e7d196c282 · outbound

This paper cites A survey on fed- erated learning: a perspective from multi-party computation,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection A survey on fed- erated learning: a perspective from multi-party computation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.719841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.602250Z digest=sha256:e1c04e01aaec08d4550962a9906d6ef903f41f3e888b6c32166b96c3757ed7b1

Observation 4e34a1a9-9ce4-40c3-b417-526841b2989a · outbound

This paper cites Patchrnn: A deep learning-based system for security patch identification,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Patchrnn: A deep learning-based system for security patch identification,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.707310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.607718Z digest=sha256:c04c80376836441dac84e142694a4e851a41e40bccbcb3b487fe71d00142e909

Observation 02ec43b2-97f5-4c55-935e-a4c3f34bcbcd · outbound

This paper cites Finding structure in time,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Finding structure in time,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:21.621737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:21.621737Z digest=sha256:42698ddc7bcdb87e18d514581ec75b4e239f72f383d1ffcddb1da975521c6d4b

Observation a5b4b26f-125f-423d-869c-ce63d3850d9a · outbound

This paper cites Control flow graph embedding based on multi-instance decomposition for bug localization,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Control flow graph embedding based on multi-instance decomposition for bug localization,

Reference 19

Resolution
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raw_fallback, observed 2026-08-11T18:18:23.685457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.652906Z digest=sha256:c8ddcc6659126a253778e34d016824e703ae1cef24ba0534eacfba0217f333d7

Observation 49421d27-f699-4fa1-a7f5-a2fd83887b5e · outbound

This paper cites Programl: A graph-based program representation for data flow analysis and compiler optimizations,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Programl: A graph-based program representation for data flow analysis and compiler optimizations,

Reference 20

Resolution
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raw_fallback, observed 2026-08-11T18:18:23.660083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.744448Z digest=sha256:54568a73a74edea5cc3a9f962f5b01a3691fe97f53cd088e95ea10c90bfb0f67

Observation e02fbfdb-3366-49e9-81b8-fed2455ac6d2 · outbound

This paper cites Gated graph sequence neural networks,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Gated graph sequence neural networks,

Reference 21

Resolution
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raw_fallback, observed 2026-08-11T18:18:23.646329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.748380Z digest=sha256:f9420b1273f2782a8024383135087152f3966418f75f31e60d1ee0876cb73f31

Observation bd174bac-6b6b-447e-b4f9-2cee143ffddd · outbound

This paper cites Graphspd: Graph-based security patch detection with enriched code semantics,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Graphspd: Graph-based security patch detection with enriched code semantics,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.630426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.761514Z digest=sha256:1a206e72446e3f9098697af9fcf3e6526feae77ff2d94076abd74b2c41df7874

Observation b5bae5ea-c3ae-47e6-9895-e4dcd16ac21b · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Semi-supervised classification with graph convolutional networks,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:21.811301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:21.811301Z digest=sha256:b9f0341e268c4d9b3cc6ac0fcb1ded209e951e0a1cd8ace630ce82777531ff42

Observation 657947de-c60a-4d95-b130-8dde6bba1ca5 · outbound

This paper cites Cwe-119: Improper restriction of operations within the bounds of a memory buffer.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Cwe-119: Improper restriction of operations within the bounds of a memory buffer

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.606825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.872540Z digest=sha256:26576f01365f3897e66f3fdd9577db08428434115ce0691cbcec7f2b804d410c

Observation be273245-0eda-4606-b527-a769eece4733 · outbound

This paper cites (2014) Cve-2014-0205 detail.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection (2014) Cve-2014-0205 detail

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.568488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.912997Z digest=sha256:c1064580f92b9060b790e52ce92610b13083725399d812b86387f13efc459c1a

Observation 7a377fc8-d878-43cd-9da9-a819b7cc5c79 · outbound

This paper cites SPI: automated identification of security patches via commits,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection SPI: automated identification of security patches via commits,

Reference 26

Resolution
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raw_fallback, observed 2026-08-11T18:18:23.548457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.916685Z digest=sha256:96ec1028d5703981c887d97f5384a386ab5090a0cc7b5cf5316e736d8df87ff4

Observation c61ddd57-fd0b-4205-b0fb-4844a2e3947d · outbound

This paper cites Patchdb: A large- scale security patch dataset,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Patchdb: A large- scale security patch dataset,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.536179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.920297Z digest=sha256:5b99c1f0d82ea2b9d4a8ec0ae9b8421d8ca86aa7fbbdf7003179a7611471629c

Observation f9ee1a35-7b6b-4a23-bbbd-03c16661acbc · outbound

This paper cites Modeling and discover- ing vulnerabilities with code property graphs,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Modeling and discover- ing vulnerabilities with code property graphs,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.522891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.949217Z digest=sha256:b0a71e7e764674a8a6a144698a36370dc49e42fdf041a2fc222a31e8f579e49c

Observation 99899367-da93-4dbf-b3c0-38318d926d08 · outbound

This paper cites CPGV A: code property graph based vulnerability analysis by deep learning,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection CPGV A: code property graph based vulnerability analysis by deep learning,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.510450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.000880Z digest=sha256:3fbeb4ce77f6c4abf7233cbb4b122e52baa35e91552ad0fd7e424bb287d361f4

Observation 90875f3d-842b-43ee-a049-037f252cf5f0 · outbound

This paper cites Devign: Effective vulner- ability identification by learning comprehensive program semantics via graph neural networks,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Devign: Effective vulner- ability identification by learning comprehensive program semantics via graph neural networks,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.484137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.032741Z digest=sha256:b5a0d80cbd3bdea70029b4ea5b91533118d68fcd16e06bf3262f989c5df4a013

Observation 96cba096-d862-400d-96c0-158000be79e5 · outbound

This paper cites Deep Learning based Vulnerability Detection: Are We There Yet?.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Deep Learning based Vulnerability Detection: Are We There Yet?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.038197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.038197Z digest=sha256:a0b7172fbff5ff2ca32e71e2a7fc1bee8cf473245807d1c5388fcddc891c1d86

Observation e27124ad-e9c3-4c2b-88d1-6aa8b3965bde · outbound

This paper cites A novel neural source code representation based on abstract syntax tree,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection A novel neural source code representation based on abstract syntax tree,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.470177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.083408Z digest=sha256:e6d7176e648d062dd49ee7513d0d355187eaef9677f3a5d9c74fecf79cd6d7de

Observation 8b4122f2-30a3-4370-b0cc-218f9f2c5b2c · outbound

This paper cites Vulnerability detection with fine- grained interpretations,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Vulnerability detection with fine- grained interpretations,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.437336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.145614Z digest=sha256:146eb96499fe7eeccd8743b13a6c81e0882772b09a2f719e1608020088bd1cf0

Observation 88371e8d-412c-423a-8f35-421fb2e7e39f · outbound

This paper cites Vulnerability detection with graph simplification and enhanced graph representation learning,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Vulnerability detection with graph simplification and enhanced graph representation learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.416994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.185405Z digest=sha256:ac686a96006f8362b2829207b7a715f371b4574b0e829ac25b02d24dc1257127

Observation 2c1b1511-55d9-4020-9792-7d5de69de7fd · outbound

This paper cites Codeplan: Repository-level coding using llms and planning,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Codeplan: Repository-level coding using llms and planning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.383675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.215885Z digest=sha256:028944f8bde7f64cdae8af9ba88c483684d348670e5816e195315f36418ffa88

Observation 603d192e-f914-44d4-8dcd-1466be8129ee · outbound

This paper cites REPOFUSE: Repository-Level Code Completion with Fused Dual Context.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection REPOFUSE: Repository-Level Code Completion with Fused Dual Context

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.233347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.233347Z digest=sha256:7f05cc5e07f3ffe3d2bee5906c6dddf20b34e2d54c9ea4b7c97574744e3df089

Observation 2934ad2b-d99c-4881-aa6d-0291397aea7c · outbound

This paper cites RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.240042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.240042Z digest=sha256:9c8ad39469f32aeb305f40dcf3920c13e53fc552bed8ba0490e6a546eb793adb

Observation 252ee758-b2c5-4ca2-aa55-e1a7bb47eadf · outbound

This paper cites RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.247972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.247972Z digest=sha256:d79061335adae02f58f670286ab5dc1829acc2585c23e9520b3b21f6730fe9a9

Observation e0f978aa-0c7f-4ccc-91a6-423e9241c4a2 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.266956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.266956Z digest=sha256:50bd809811e2015254fbd9357f18a03795fa623096fbf510216e9ef4f00b5520

Observation af3e5a5e-d63c-429b-a508-0d2abb5580da · outbound

This paper cites VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.305734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.305734Z digest=sha256:29d406da7420355968a8bf1f959938a7532a246d0efa3f4909547028423f434f

Observation 1c6b1879-e0f1-42ed-85d7-eacebcbc52a7 · outbound

This paper cites [Online].

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection [Online]

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.349622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.355603Z digest=sha256:a038855eeb178269c53235c4f1ef90ec13e411b00a53c805f5c484571a81b710

Observation 6b014aff-f146-4de3-b4ae-f58581552da5 · outbound

This paper cites Frankenstein: fast and lightweight call graph generation for software builds,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Frankenstein: fast and lightweight call graph generation for software builds,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.336805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.384042Z digest=sha256:88fa0ce29027caf3f2e598e47c1f277e34c865dfb831a87577e587652e74ab60

Observation 1e9bd16f-bc3f-4da6-827f-8fb5697b3e11 · outbound

This paper cites ”GNU cflow.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection ”GNU cflow

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.324346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.405812Z digest=sha256:6ac0b51aa07011b83c9e5ef2558afaa822a16748fae0a8cd3b92e1a74aa973a8

Observation 57bb1c53-eb09-47b3-9572-bcced9821a9e · outbound

This paper cites Unixcoder: Unified cross-modal pre-training for code representation,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Unixcoder: Unified cross-modal pre-training for code representation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.295291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.410911Z digest=sha256:59666506b5943246d1ab4c3d8943ebac08b935bf9287a48d7434f2b0f9004ba9

Observation 5fed5e84-bc33-49f5-b2f7-0cd1a839c6f9 · outbound

This paper cites Graph Attention Networks.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Graph Attention Networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:22.418141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:22.418141Z digest=sha256:2f84e8b27cb3b418586ab998854079fb1ba164a6f2894525386d84574eea80a3

Observation 526eae35-62db-4203-ae09-2dc19a79c1d2 · outbound

This paper cites Convolutional neural networks for medical image analysis: Full training or fine tuning?.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Convolutional neural networks for medical image analysis: Full training or fine tuning?

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.278891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.430488Z digest=sha256:77ad6dfefe7b7ffd74882dc670b4e3db840c00f4baab2646a6d45a39258d14e7

Observation fc7b8c61-df1e-4583-b0dd-f34bf160f795 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Codebert: A pre-trained model for programming and natural languages,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.265623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.447315Z digest=sha256:3b5a0ca92dc00fb7d0543356e3ca2689f93fd039439a37fa32d6f66166ee30c2

Observation 37589c21-98c8-4668-94a1-787a865b811e · outbound

This paper cites Codet5: Identifier- aware unified pre-trained encoder-decoder models for code understand- ing and generation,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Codet5: Identifier- aware unified pre-trained encoder-decoder models for code understand- ing and generation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.252116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.452023Z digest=sha256:af3ecb5ad99f3dfe8f2e0d56889d0415f40f996d5bc651e097da3ac306dc0fc0

Observation 6c1339d5-7b46-43bb-adc1-ca59214da0eb · outbound

This paper cites Meta-llama-3-70b,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Meta-llama-3-70b,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.236175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.456352Z digest=sha256:1dee16e3e24360376351e89e1a4ad03de01e6116a6eaaf24aeeeaaa7ae1675d0

Observation d4e7f1b7-6b1f-4605-9ee1-f748d49dfcb8 · outbound

This paper cites “Cppcheck.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection “Cppcheck

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.224768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.459770Z digest=sha256:3ebcace2dedef50d5f3a088ebb19cf0367f2b42847f8ca29419e977e48922e08

Observation 78ff5519-0ab7-44bf-9c01-5b3361f0190c · outbound

This paper cites Rough audit tool for security.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Rough audit tool for security

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.213409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.491488Z digest=sha256:cb5b0e6a0bea37960954f80c65c0bc7892a4a37979508bcd6e760907944e1f5c

Observation 6af6d763-6357-4ba1-9f05-50b237f6c1a9 · outbound

This paper cites “Semgrep.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection “Semgrep

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.202094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.539775Z digest=sha256:5cc5d500ec3041d09e2fd9deb2538428710243132eaf90d789495cfdb1858530

Observation b95ccfe3-d222-4b01-a659-513d80fd3ad6 · outbound

This paper cites Flawfinder,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Flawfinder,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.191195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.587881Z digest=sha256:6a575c875aee34be6020a807f16bd89aaa16effd8378c8a2925969d1376a2adb

Observation adff21b5-6efb-4ad3-9e8a-2ed48eb4a83a · outbound

This paper cites VUDDY: A scalable approach for vulnerable code clone discovery,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection VUDDY: A scalable approach for vulnerable code clone discovery,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.179602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.592707Z digest=sha256:d089cbf7896d1a185a37f2f2b4c00fc1a652ca4475522b4949d711b78647c905

Observation b7996dab-046b-436f-9d94-eac83468c3ea · outbound

This paper cites [Online].

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection [Online]

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.167227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.596872Z digest=sha256:ba36fec1634e3028501b9c5b4cdba7f6db91758fc149c3bcf3c95bad66e96486

Observation ac10017f-41ce-456a-a28a-a4e65fe4c647 · outbound

This paper cites code property graph — joern documentation.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection code property graph — joern documentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.156473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.602127Z digest=sha256:35deb39951c06326ae86f99dd3d6bdded2b38e5c8043e4bd620aa349c280055b

Observation f5460828-8251-458c-b8bc-79a5996b0361 · outbound

This paper cites SCALE: constructing structured natural language comment trees for software vulnerability detection,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection SCALE: constructing structured natural language comment trees for software vulnerability detection,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.144397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.606053Z digest=sha256:1897f55c8b392cb8f30715dd50c2a771110291999a8a2a371a5cfd073d287577

Observation cf192d50-eda8-439e-9107-8fa2d6686326 · outbound

This paper cites Common weakness enumerations.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Common weakness enumerations

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.132780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.611044Z digest=sha256:58aa3b47392cd97f69ffa0559908e9e2c8120a46662456b43752230d754a83a1

Observation f62dbcc4-033d-4a4e-9e83-c19c37c2ac66 · outbound

This paper cites (2016) Cve-2016-5243 detail.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection (2016) Cve-2016-5243 detail

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.120898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.615371Z digest=sha256:da47725f47c9194b93d34f13a5ffc48b1ca8e9b97e3db20233bfe42df0c0a659

Observation e813f59f-898a-42da-868e-a359a955dbdd · outbound

This paper cites (2016) Cve-2016-9535 detail.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection (2016) Cve-2016-9535 detail

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.109984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.625591Z digest=sha256:16bc6cc386b6085e8b4121c5ec52a8d6834e863541590fd0e07aa530c97d909d

Observation f1d6df6a-9338-4f07-8146-f2dc597bcd1a · outbound

This paper cites National vulnerability database,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection National vulnerability database,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.098595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.629248Z digest=sha256:f033e5933969b2d1e331caa87bc993f34e8327f55478db4e7be7f7360d7eca9a

Observation 516b6fa9-8a8e-4f57-a563-a715e649aa4a · outbound

This paper cites Tales of software updates: The process of updating software,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Tales of software updates: The process of updating software,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.087328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.633288Z digest=sha256:3c91cd3108917e39b0b7e943473d85af6a46afe60b427c0f429787fc6cc9aa1e

Observation e261b2aa-69ca-4f74-9212-aaf8d6438dd8 · outbound

This paper cites Using safety properties to generate vulnerability patches,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Using safety properties to generate vulnerability patches,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.076270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.637069Z digest=sha256:35663953b2826554262049ba44816f163149e1da324e64626a5c8a551dc23880

Observation 6292bce9-14bc-4572-ad1d-eb2ac2d006e8 · outbound

This paper cites Precisely characterizing security impact in a flood of patches via symbolic rule comparison,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Precisely characterizing security impact in a flood of patches via symbolic rule comparison,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.065696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.752071Z digest=sha256:b7759bfe6b8e6bb038a824382228b216178d9387d41ab9dbd7c5824a4098bdcf

Observation 1b5dad92-fd81-4aa4-b8f0-a27f122923e8 · outbound

This paper cites Identifying linux bug fixing patches,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Identifying linux bug fixing patches,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.053514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.756919Z digest=sha256:527ffdfa9745bf0ee126d5aa754956ab349d8b7de164be64bcc4178963b13b5c

Observation 48962a26-1e57-4b5a-ac98-56ea4dbf8e09 · outbound

This paper cites Auto- matic hot patch generation for android kernels,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Auto- matic hot patch generation for android kernels,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.040400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.764484Z digest=sha256:7b3d9394df8cc21772333c5c3fb2171b369716dfe58accfbb2775b75a96b46e7

Observation f79b84d2-e823-41ed-bc77-ed624bb80e60 · outbound

This paper cites A machine learning approach to classify security patches into vulnerability types,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection A machine learning approach to classify security patches into vulnerability types,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.027929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.768910Z digest=sha256:be5ad2bdba0fe780f577822cd218cec389f5faeefa43991e46aec7f08f2e82b6

Observation f556b12c-928b-45e0-b5bf-959481e9a8c2 · outbound

This paper cites A deeper look into bug fixes: patterns, replacements, deletions, and additions,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection A deeper look into bug fixes: patterns, replacements, deletions, and additions,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.014757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.772464Z digest=sha256:d12033bbc5e7a12a60e0794e661b788dd30836bacba5247ce3d65d2ef9156618

Observation e60458ea-12d0-41d8-a334-22582f13d78a · outbound

This paper cites Recov- ering traceability links between source code and fixed bugs via patch analysis,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Recov- ering traceability links between source code and fixed bugs via patch analysis,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.001979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.776764Z digest=sha256:81dfa1d75336db31b4a898a947fae83da876222f7f6bab3f6711e5cce96395a3

Observation 6401ae0b-9ecc-46f7-af84-cc98299ed83a · outbound

This paper cites Vccfinder: Finding potential vulnerabilities in open-source projects to assist code audits,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Vccfinder: Finding potential vulnerabilities in open-source projects to assist code audits,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:22.988634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.780226Z digest=sha256:aeacd5a9d430993e67bcfd038c1ccbee787d4dc5470d9b79652f6b74be139aaa

Observation 5b1130e5-02eb-4f84-bb6a-c758937647bc · outbound

This paper cites Vulcurator: a vulnerability-fixing commit detector,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Vulcurator: a vulnerability-fixing commit detector,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:22.976090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.784112Z digest=sha256:4366024e4dd93ce24ad2d0fb9ee009232978094be5bb8dd76825a215f9d5eb94

Observation 000d7210-c181-4827-8283-3ccf866a1e77 · outbound

This paper cites Enhancing Security Patch Identification by Capturing Structures in Commits.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Enhancing Security Patch Identification by Capturing Structures in Commits

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:18:22.842946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.787767Z digest=sha256:c7d7426f41755246be8fa4545a26c60108c508b51ef39e93b597006fadee0f48

Observation d2945e20-a578-4bb6-9223-93bc0f2082e4 · outbound

This paper cites Colefunda: Explainable silent vulnerability fix identification,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Colefunda: Explainable silent vulnerability fix identification,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:22.964037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.791371Z digest=sha256:f863ff10fc9cbfba2555832f3ed12947cb10d7f113c37e59c77ac4353fe949dc

Observation 4f5ad720-c172-43a7-a458-dd4724f8ef1a · outbound

This paper cites Commit message can help: Security patch detection in open source software via transformer,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Commit message can help: Security patch detection in open source software via transformer,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:22.951969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.795368Z digest=sha256:8cf8212e15bc50944d0f451b6eb1c10fa80afa57a71ade0c8b420d3a0898fbc2

Observation 44b443cb-362b-409a-b823-d325e42f1986 · outbound

This paper cites Finding A needle in a haystack: Automated mining of silent vulnerability fixes,.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Finding A needle in a haystack: Automated mining of silent vulnerability fixes,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:22.936232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:22.799204Z digest=sha256:500497508acc68cb326815a994c534a60ec61c27bcebe7cfdf1a768051bfc2eb

Observation 8cd1f214-eed4-4ba1-bec0-350319dae22f · outbound

This paper cites an unresolved cited work.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Unresolved cited work

Reference 2012

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:18:24.029957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.464906Z digest=sha256:09807c7476ca2d28b2477c1947b70ead9b566096b0c51963dcee6ff879d5055f

Observation efebd5a4-e3a6-4320-a04d-681449a8004a · outbound

This paper cites an unresolved cited work.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Unresolved cited work

Reference 2019

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T18:18:24.283083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.349221Z digest=sha256:06cb6b22af716541b231da40b3cb481d21b293f56dcc304cb53877ad73a3b75c

Observation b0dc4e7b-890a-4427-aa94-df43106116ee · outbound

This paper cites 4223–4230.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection 4223–4230

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:23.672182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.722303Z digest=sha256:2100370c9ef08b412d8792be66208eb5e6da7c6f8662ebcf39675b23af6fd988

Observation 64af6adb-a687-472c-8dbc-2be826914981 · outbound

This paper cites Available: https://www.statista.com/statistics/500755/ worldwide-common-vulnerabilities-and-exposures/.

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection Available: https://www.statista.com/statistics/500755/ worldwide-common-vulnerabilities-and-exposures/

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:24.572008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T18:18:21.043459Z digest=sha256:bddb3625540dfbede927b73eeb51d4facdb90cf3fa0a719294facf6e258dcc8a

Pith citing papers

Observation 31d33860-31f9-472d-915b-99b11dfe516c · inbound

Empirical Study of Code Large Language Models for Binary Security Patch Detection cites this paper.

Empirical Study of Code Large Language Models for Binary Security Patch Detection Repository-Level Graph Representation Learning for Enhanced Security Patch Detection

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T04:37:07.287567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:37:07.287567Z digest=sha256:41609f32014ffe8279e06cd16a34b0b4faefd6ed4f83d524be965b171fbce7d9

Observation 73ce425c-86c1-48e3-bf1a-c62a6a71b116 · inbound

A Comprehensive Evaluation of Code Language Models for Security Patch Detection cites this paper.

A Comprehensive Evaluation of Code Language Models for Security Patch Detection Repository-Level Graph Representation Learning for Enhanced Security Patch Detection

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:42:37.207783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T18:40:29.627403Z digest=sha256:ce38ff54282b83bcc67eb1bfb433a9b0f25873d810bf46b890115e4936132997