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Paper Citation Record · LEDGER

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction

As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.10729.

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

pith.paper-citation-record.v1
2507.10729 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:33:50.267762Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

76 of 76 outbound references displayed

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  • verified fuzzy58
  • unresolved16
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f366e3c1-d0f7-4ef2-8c3f-74b5f22a5960 · outbound

This paper cites Crowdstrike outage report,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Crowdstrike outage report,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation c0d2f0e3-75c6-452b-8ae5-54c585aa8542 · outbound

This paper cites Crowdstrike outage damage,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Crowdstrike outage damage,

Reference 2

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Observation 4f873348-afd2-41cd-a34f-5955651943cc · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Vccfinder: Finding potential vulnerabilities in open-source projects to assist code audits,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 68c6acd2-9806-4c10-b2e2-160f14a57cfb · outbound

This paper cites Code-centric learning-based just-in-time vulnerability detection,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Code-centric learning-based just-in-time vulnerability detection,

Reference 4

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Observation cc65d978-6528-4022-a62e-f48cb2fbe064 · outbound

This paper cites Revisiting the vccfinder approach for the identification of vulnerability- contributing commits,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Revisiting the vccfinder approach for the identification of vulnerability- contributing commits,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c4e2c9f6-9401-4347-87a8-55adcc88a3d6 · outbound

This paper cites Available: https://github.com/ FFmpeg/FFmpeg.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Available: https://github.com/ FFmpeg/FFmpeg

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0ec3d512-ee67-4180-90d2-722997119c09 · outbound

This paper cites Linux kernel.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Linux kernel

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6dd6a340-20d8-4371-96a9-675b746415d2 · outbound

This paper cites The best of both worlds: integrating semantic features with expert features for defect prediction and localization,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction The best of both worlds: integrating semantic features with expert features for defect prediction and localization,

Reference 8

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Source-reported events for the cited work

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Observation 0842569d-2f72-451e-b780-c600e082452e · outbound

This paper cites Focal loss for dense object detection,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Focal loss for dense object detection,

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:33:39.519096Z digest=sha256:73e7fdcd192062ec42854734889e0fd3dcb4ae9f3c63ed9ef5be4715c059a9f8

Observation d17a7d39-1cd0-45b7-8722-4b74fa277bf8 · outbound

This paper cites Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 78d4d9d4-b724-4b1e-8946-c4a09a6ebebd · outbound

This paper cites Addressing the curse of imbalanced training sets: one-sided selection,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Addressing the curse of imbalanced training sets: one-sided selection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d3739e3d-1b0e-4bf8-b7f5-01dab168e96a · outbound

This paper cites Replication package for.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Replication package for

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c96e6c04-de6d-45cd-b873-2036745f6acc · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Reference 13

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Source-reported events for the cited work

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Observation 9dc8d572-b9ab-4220-bcf4-a48f87588324 · outbound

This paper cites Keynote address: .ql for source code analysis,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Keynote address: .ql for source code analysis,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5783e00f-45b7-4e6a-b902-e7c40c998234 · outbound

This paper cites Flawfinder: A modular system for predicting quality flaws in wikipedia.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Flawfinder: A modular system for predicting quality flaws in wikipedia

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:40.301645Z digest=sha256:8f572a817923b2ddf95adba09d59c3a3ea9e3de7138453b00203890e1b5865a6

Observation dd876044-9303-44aa-8b0e-a2bc3fc17e29 · outbound

This paper cites Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

Reference 16

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Source-reported events for the cited work

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Observation 42768c9c-3c0c-4dbf-bbf2-632cd8d53906 · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Deep learning based vulnerability detection: Are we there yet?

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5f3b6bd-a7db-427a-8e07-acde41a7a9c1 · outbound

This paper cites Sysevr: A framework for using deep learning to detect software vulnerabilities,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Sysevr: A framework for using deep learning to detect software vulnerabilities,

Reference 18

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source=pdf_text observed=2026-08-06T17:33:40.834501Z digest=sha256:5b08feeddd97cff11e088b2398ae426d433c7e97ca5b0d8d2c3f2e5f882f5d46

Observation e6565493-c6c5-4b05-8406-5b7b7e87494f · outbound

This paper cites Software vulnerability prediction in low-resource languages: An empirical study of codebert and chatgpt,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Software vulnerability prediction in low-resource languages: An empirical study of codebert and chatgpt,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:41.010826Z digest=sha256:379a44441bbbcd89a16a130a2557f7c6a646f73dddd05fe05754ea5aaef961da

Observation 2653f8f6-c283-4e62-a82e-50e8a7c81af5 · outbound

This paper cites Improving data curation of software vulnerability patches through uncertainty quantification,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Improving data curation of software vulnerability patches through uncertainty quantification,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:41.135233Z digest=sha256:872c58406f817c97b8d05f8e81a5354b5f44157e298cd36961e3e48e89ffc9b1

Observation 8443b3b5-1d7b-42d5-894c-91b98ddc3f66 · outbound

This paper cites Vuldigger: A just-in-time and cost-aware tool for digging vulnerability-contributing changes,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Vuldigger: A just-in-time and cost-aware tool for digging vulnerability-contributing changes,

Reference 21

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source=pdf_text observed=2026-08-06T17:33:41.212349Z digest=sha256:353172b365bbf7f72b2535a4c45ed9f9a19c6b70f4fb4603f174db4428619599

Observation 9bfae513-b702-4626-b135-6270d64596a8 · outbound

This paper cites Commit- level, neural vulnerability detection and assessment,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Commit- level, neural vulnerability detection and assessment,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:41.356005Z digest=sha256:c45e18e36ae95e1674c692934eee8d6ef448ea32393c8cc68f0f7218dd39dddd

Observation 5e42355c-a9d0-4048-b419-8e2b087e1ffa · outbound

This paper cites Just-in-time software vulnerability detection: Are we there yet?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Just-in-time software vulnerability detection: Are we there yet?

Reference 23

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source=pdf_text observed=2026-08-06T17:33:41.523031Z digest=sha256:0ece18e8f9f7f5b822725c5a6beb49b9d46f4a63ee1dbe91914e7d8ea6efa9da

Observation 1432f518-8c17-48a5-bf03-cbf454d86acc · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Vulcurator: a vulnerability-fixing commit detector,

Reference 24

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raw_fallback, observed 2026-08-06T17:33:56.515776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:41.708014Z digest=sha256:ae9255693ae0c3d2b34380e6c6778cc2fedf696bda0ee200c535fa1feb1e5ccb

Observation 5a75b1e8-5fa5-4537-b1e8-ab365e881093 · outbound

This paper cites Multi-granularity detector for vulnerability fixes,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Multi-granularity detector for vulnerability fixes,

Reference 25

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raw_fallback, observed 2026-08-06T17:33:56.502507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:41.907302Z digest=sha256:7c10c18ff7e93b39aa1687cf178c38e01385a5193801d9dc234a8fcdc1a2a2bc

Observation 28a6b7c5-0df0-4591-a005-23dcf2b2e651 · outbound

This paper cites Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:42.036791Z digest=sha256:9e215ca111a6928e7dfb1b7dd29c9c5127bf447d0917092477a0969018e201d8

Observation 131d86a8-2f77-4cf0-99c5-eaf37c4752d6 · outbound

This paper cites Known vulner- abilities of open source projects: Where are the fixes?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Known vulner- abilities of open source projects: Where are the fixes?

Reference 27

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raw_fallback, observed 2026-08-06T17:33:56.489902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:42.219644Z digest=sha256:8e54fbd08ef57d4d581846377c470542e7916f08c401f1df657908becf3c728b

Observation 9f15f629-c4fe-4a3f-b621-bfa2db0426f0 · outbound

This paper cites Patchfinder: A two-phase approach to security patch tracing for disclosed vulnerabilities in open-source software,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Patchfinder: A two-phase approach to security patch tracing for disclosed vulnerabilities in open-source software,

Reference 28

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raw_fallback, observed 2026-08-06T17:33:56.477177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:42.436593Z digest=sha256:d46e1962f971ccb2bd005ecc1f24a668af37a46969c23ff534a0d2904e661244

Observation 3c13d462-c7b6-4f7f-b555-b94e4b169824 · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Devign: Effective vul- nerability identification by learning comprehensive program semantics via graph neural networks,

Reference 29

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raw_fallback, observed 2026-08-06T17:33:56.463542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:42.597592Z digest=sha256:8f2acaf365a0ba29da43fd088f069329f430843fe3855338a23f074be5aee90d

Observation 6cbafc9e-87bf-4d95-83fa-b5d56aa204b1 · outbound

This paper cites When do changes induce fixes?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction When do changes induce fixes?

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:42.737208Z digest=sha256:e906d329c95429407f8628055955989ef504d1232a51431ab748ae4782e7314a

Observation 7a94c4a9-f32e-426a-86ec-cab42a46a8b0 · outbound

This paper cites V-szz: automatic identifi- cation of version ranges affected by cve vulnerabilities,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction V-szz: automatic identifi- cation of version ranges affected by cve vulnerabilities,

Reference 31

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raw_fallback, observed 2026-08-06T17:33:56.441742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:42.912749Z digest=sha256:69d7553eb206706f9f5636450ba800e0a6b33d5f12d1440422c66be9f40f6664

Observation e6f266b6-d7c9-42e2-8667-759361af69f9 · outbound

This paper cites Repro- ducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the szz algorithm,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Repro- ducibility and credibility in empirical software engineering: A case study based on a systematic literature review of the use of the szz algorithm,

Reference 32

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raw_fallback, observed 2026-08-06T17:33:56.429571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.033679Z digest=sha256:fb0a1aa8e6db7604af4f40e8b07ec77e422307372002992e814bcc6904dd7d91

Observation eb81e34f-0bc9-4d07-a0a5-70111941d415 · outbound

This paper cites A large-scale empirical study on vulnerability distri- bution within projects and the lessons learned,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction A large-scale empirical study on vulnerability distri- bution within projects and the lessons learned,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.181002Z digest=sha256:8f236ea87a8b01067e7cffc7dac1d4ddb537534eb071c01ae23e8bf52f3ced7a

Observation ac5a5aa1-f810-4da8-a739-a2bf8c09ed50 · outbound

This paper cites Evaluating szz implementations through a developer- informed oracle,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Evaluating szz implementations through a developer- informed oracle,

Reference 34

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raw_fallback, observed 2026-08-06T17:33:56.404394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.363069Z digest=sha256:c4cf0d8a2fa4de9a76c6ee13392f6aa151f0902486b056a717c62bd0e9447b60

Observation c41876dd-6d04-4f81-8360-7f29f4f43cd1 · outbound

This paper cites Evaluating szz implementations: An empirical study on the linux kernel,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Evaluating szz implementations: An empirical study on the linux kernel,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.392065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.543884Z digest=sha256:77ffd1c6a5fc11fea259b84ce6b1c2b6cab5d4596f9948b8a7a84c9d6795c060

Observation fdd735ce-a159-42b4-83d8-6b542b7bcc92 · outbound

This paper cites Data quality for software vulnerability datasets,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Data quality for software vulnerability datasets,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.379489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.681098Z digest=sha256:f5073fa8ff80d250ed9ef4dd5210032f6f06f4a8cf9ccf28519181097aa124d8

Observation c837ea18-f4dc-4298-87f5-6491eda2a992 · outbound

This paper cites FFmpeg Official Website,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction FFmpeg Official Website,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.366131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:43.848861Z digest=sha256:3f99380868fb054a4412e66a71f1ec442cf157ec3c97ffb39b81d968b64f55fe

Observation 877d6fbd-1125-48a8-b4ec-cc940e2f8929 · outbound

This paper cites Available: https://ffmpeg.org.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Available: https://ffmpeg.org

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.353783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.039429Z digest=sha256:dab410c7713d50687278877ba0bad1805a6918671b0fdd9465e233b9577417b3

Observation b7784dbc-898f-429a-8067-f64c54e46639 · outbound

This paper cites FFmpeg Trac Wiki,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction FFmpeg Trac Wiki,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.330720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.180147Z digest=sha256:c80f7bb295557c7a3c20257a0c992e5abe58a596b48d32f4a326196f11e40fa1

Observation a956c75a-62da-49aa-be5c-b094b2067c37 · outbound

This paper cites Linux Kernel Official Website,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Linux Kernel Official Website,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:56.155985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.307052Z digest=sha256:d5c2a06a107c743c37296f8a6767181d295a5b64561d75304cb0e99cc7305bb2

Observation 69eb7aa0-6162-49db-927e-eab7f1ce2615 · outbound

This paper cites Linux Kernel CVE Documentation,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Linux Kernel CVE Documentation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.927133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.495412Z digest=sha256:565b1cc66897412860089657c13b77c90167d449ce24f72886833cc98a1a4399

Observation ee9a0cae-c0bb-4970-8d3c-86ccc9ffb76d · outbound

This paper cites Automatic iden- tification of bug-introducing changes,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Automatic iden- tification of bug-introducing changes,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.810656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.645717Z digest=sha256:da976c57e469f157dc06f26acec95fe14b34c26b958419daa8b97283c1144a20

Observation ca5eac18-d701-42d2-b0b7-2b93b21be520 · outbound

This paper cites Are fix-inducing changes a moving target? a longitudinal case study of just-in-time defect prediction,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Are fix-inducing changes a moving target? a longitudinal case study of just-in-time defect prediction,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.795216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.843957Z digest=sha256:5d327ab3f133f1d6722d6c4a022d8e5b5a05c8f153d1deed1719c67bb72b5d74

Observation 5a22029b-ea80-4afb-91ac-5d797015d052 · outbound

This paper cites The importance of accounting for real-world labelling when predicting software vulnerabilities,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction The importance of accounting for real-world labelling when predicting software vulnerabilities,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.780474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:44.986695Z digest=sha256:75b160bc840b3cb297769f3ca29f08dfbcc3d922e8451a392e6d035a8dd40f22

Observation 626cf693-f1fb-44c3-8297-3230b515808d · outbound

This paper cites Noisy label learning for security defects,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Noisy label learning for security defects,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.768025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.163543Z digest=sha256:87254336af40e08eed59c4a1404ec3755817404d88d97059475de4b8aad5f2e2

Observation 9c0e08ca-1fd3-4e67-bc9b-a9534ab2efba · outbound

This paper cites National Vulnerability Database (NVD),.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction National Vulnerability Database (NVD),

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.754954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.295008Z digest=sha256:db8218934c81e1c5514d17f0d06043a6b6a3f754d68d277ed5e01a49a9079ce4

Observation 794a8ed3-5bd8-4dca-bc6d-a105259099f4 · outbound

This paper cites CVE-2022-3965,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction CVE-2022-3965,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.742123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.437099Z digest=sha256:8292a438a9bf53720350c0dff6fd8c824015c7c8df4799874a342ccd5644327b

Observation 934f0240-d735-4ae6-a7b2-16fb2200ef70 · outbound

This paper cites CVE-2023-52461,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction CVE-2023-52461,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.729168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.564791Z digest=sha256:c249ca03c0774511f508f859ae9371d6cea6bdc571a6677f3742a5f0efcfc42a

Observation 1bf3ec19-91c6-4bed-adf7-d75b7358dba6 · outbound

This paper cites Linux guide for submitting patches,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Linux guide for submitting patches,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.716636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.738365Z digest=sha256:b1dc08fd5e08d2ddae3d434653497b1b2d3f26ee4aad8b9ac2888c528b672482

Observation eaca4e5e-effa-43e7-8d82-48bff07139f7 · outbound

This paper cites Deep just-in-time defect prediction: how far are we?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Deep just-in-time defect prediction: how far are we?

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.704076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:45.963840Z digest=sha256:5f8564eea79c2b176a247cb88481bd05b8145b17152f9e0842358c7209eb57de

Observation 94b45b74-64af-43ea-8703-f959fce2ace6 · outbound

This paper cites Chronos: Time-aware zero-shot identification of libraries from vulnerability reports,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Chronos: Time-aware zero-shot identification of libraries from vulnerability reports,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.690493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.126892Z digest=sha256:28951ea3d6cd4da7a09e9cd59b9e7374b0c2b4cb82bc2124fb1b16e871bc1d31

Observation 9c7df5ba-c6aa-4b88-857a-89372c49efaf · outbound

This paper cites Systematic literature review on application of learning-based approaches in contin- uous integration,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Systematic literature review on application of learning-based approaches in contin- uous integration,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.677755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.262376Z digest=sha256:0e39c4f27e3a080d885f0f2337c352b339e50413bf0e970e520b62472e2382ee

Observation 2093ac1d-c2b9-436e-8bcf-ab22be7a6c77 · outbound

This paper cites Automated software vulnerabil- ity assessment with concept drift,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Automated software vulnerabil- ity assessment with concept drift,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.664106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.448462Z digest=sha256:cb3f8888478c3484f395946574b2c5144bd9ba9f592ee6d0e4a7bf4bcf181517

Observation f6af5783-bdf9-43ff-8a62-aa698288380d · outbound

This paper cites J. paul guilford (1897- 1987),.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction J. paul guilford (1897- 1987),

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.627327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.642056Z digest=sha256:dafb4399d108cba1a2aa8a750e3f236fc40d61fc18626d1c13584f3d6fad49c1

Observation 9e0df6ae-47b5-4c98-a60d-ac53b07b896c · outbound

This paper cites The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.463933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.800738Z digest=sha256:44b63bfba3b4e98fb5713dd6da6e7d7912ac589653dc76b0f318d25a38832845

Observation b0e6f143-b22c-43bc-8e2d-57c571281ba2 · outbound

This paper cites On the performance of matthews correlation coefficient (mcc) for imbalanced dataset,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction On the performance of matthews correlation coefficient (mcc) for imbalanced dataset,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.266153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:46.970076Z digest=sha256:d14b9d26591f305b0edd8fb2085ebd242bf1b48d544284a27cfecdd5230feaee

Observation 64e18775-d541-41a5-b518-e8c615ba8703 · outbound

This paper cites On the use of fine-grained vulnera- ble code statements for software vulnerability assessment models,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction On the use of fine-grained vulnera- ble code statements for software vulnerability assessment models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:55.072850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:47.140487Z digest=sha256:6854e26b13a37c4469df3feccbae5167fe9396110b38f9772910f4fc4496bb5e

Observation 3ccc891b-146c-4b1b-9bb2-ea2f31c7f220 · outbound

This paper cites A large-scale empirical study of just-in-time quality assurance,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction A large-scale empirical study of just-in-time quality assurance,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:54.883888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:47.299393Z digest=sha256:7bfb26d17b41f3a0520619a11f279cd8a93f9b094acf56d60d1fb763e0ddeae1

Observation 02179ffc-7500-45ac-941b-f87e763526c6 · outbound

This paper cites Tlel: A two-layer ensemble learning approach for just-in-time defect prediction,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Tlel: A two-layer ensemble learning approach for just-in-time defect prediction,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T17:33:47.464698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:47.464698Z digest=sha256:30904ed28ee868a6d2297f3e9f036f8ae1c69c8633c060fac1f4deb649ef4b5c

Observation 09e86bde-51cb-4f6f-a5b9-7f46a3e15b3e · outbound

This paper cites Deepjit: an end-to-end deep learning framework for just-in-time defect prediction,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Deepjit: an end-to-end deep learning framework for just-in-time defect prediction,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:54.681270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:47.592421Z digest=sha256:187cb0af5a821d1862d3657f659814ac2effe3dbf07f1fcd5412417f5d4e803e

Observation 303993fc-b856-4baf-92d4-25630ec7ec86 · outbound

This paper cites Simple or complex? together for a more accurate just-in-time defect predictor,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Simple or complex? together for a more accurate just-in-time defect predictor,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:54.470822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:47.758587Z digest=sha256:7d76bbc56a71a76e2c3f17457513fecec6fcd75720d3f9b45c0f48fead10047b

Observation 7192b1d7-c730-4f6d-a06e-61543d2629bb · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Modeling and discover- ing vulnerabilities with code property graphs,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:54.207382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:47.968744Z digest=sha256:b6c58677b72ce2c2941733f01b4db8c3950d7b66aea633fc7873724a4f5869be

Observation 0ece7cde-75d9-47f5-803c-51a7500596a1 · outbound

This paper cites Available: https://github.com/joernio/joern.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Available: https://github.com/joernio/joern

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T17:33:48.154374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:48.154374Z digest=sha256:45f551975187b3d40f9873c3d4b2ddfd3c74314094c60022aa6bd2f5ce544dc2

Observation c0096601-509c-44d1-8865-17caed206d18 · outbound

This paper cites Deep learning for source code modeling and generation: Models, applications, and challenges,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Deep learning for source code modeling and generation: Models, applications, and challenges,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:53.979551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:48.321163Z digest=sha256:eb6655e4204536b4b9acd1f79b93c965496cea153e68d316d182dbf2ea78f9ea

Observation 61f3aedd-9c9e-4fa8-a763-989749f1a217 · outbound

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

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T17:33:48.492490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:48.492490Z digest=sha256:8c847accf1b68ddc1ea0e56835125230ecd7355e08bffae789f5b90900b0a7b6

Observation b6a9e521-bbc4-4d20-a91d-57668ebebd9d · outbound

This paper cites Predicting vulnerable software components,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Predicting vulnerable software components,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:53.840308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:48.645710Z digest=sha256:f6251d2085d79a4e0d371173017df8290818fbbb9bc61c7ad759c6a6acf901de

Observation f4ca472f-da6f-42e6-8267-0d39e0bf76c8 · outbound

This paper cites Can traditional fault prediction models be used for vulnerability prediction?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Can traditional fault prediction models be used for vulnerability prediction?

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:53.634692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:48.885483Z digest=sha256:25072e5571c41db71e4b58734fa22fa149ac2bf1c7f3eb82d477de6f5d5e767f

Observation d8c0f009-0bb2-4c7c-b5c6-c203c2133775 · outbound

This paper cites The devil is in the tails: How long-tailed code distributions impact large language mod- els,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction The devil is in the tails: How long-tailed code distributions impact large language mod- els,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:53.408064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.039998Z digest=sha256:2a73327de1c20c834e94118a3a7664a1621178999f7fa0480ca0702d3d7e5d88

Observation 3f157f6d-87c5-4102-8491-df31421e69f9 · outbound

This paper cites Vgx: Large-scale sample generation for boosting learning-based software vul- nerability analyses,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Vgx: Large-scale sample generation for boosting learning-based software vul- nerability analyses,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:53.061529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.220075Z digest=sha256:e908337756461d7a6a961740f1395290974ee00b71187d19f12aeb4a3dae06e8

Observation a68f8481-d93a-45d5-8a77-dbc137ce7673 · outbound

This paper cites Vulgen: Realistic vulnerability generation via pattern mining and deep learning,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Vulgen: Realistic vulnerability generation via pattern mining and deep learning,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:52.715489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 74f59e5a-33c5-4666-9a4d-8f671e098499 · outbound

This paper cites Mitigating data imbalance for software vulnerability assessment: Does data augmentation help?.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Mitigating data imbalance for software vulnerability assessment: Does data augmentation help?

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:52.352386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.509021Z digest=sha256:dcc35d1473ee67a0b3f156fe168d76026922acdeb8fa731102ec9a11bed3d7f5

Observation 2b42279e-05f4-4016-a3a9-4921b2e0b1a9 · outbound

This paper cites Towards reliable evaluation of neural program repair with natural robustness testing,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Towards reliable evaluation of neural program repair with natural robustness testing,

Reference 72

Resolution
verified exact
doi, observed 2026-08-06T17:33:50.653899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.618516Z digest=sha256:2c2f782450b1ddf951215452fcb7dcd6fbcb53a29812f1fd7726e1380e5cffd9

Observation f573c40f-99de-4722-9199-07b5f1ce9f5b · outbound

This paper cites Are latent vulnerabilities hidden gems for software vulnerability prediction? an empirical study,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Are latent vulnerabilities hidden gems for software vulnerability prediction? an empirical study,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:51.965518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.807975Z digest=sha256:af79cff2d88f5aec7357489f07558ff6d34f3eb603dc09ce6cec8fcde0bb3ee4

Observation b902bf78-1f97-48e6-ae97-b7ca0f0b5bdc · outbound

This paper cites Deepcva: Automated commit-level vulnerability assessment with deep multi-task learning,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction Deepcva: Automated commit-level vulnerability assessment with deep multi-task learning,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:51.637537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:49.946386Z digest=sha256:f5cfcf08cd780d80e0f355cb114134079156a5db8d459063e7054727a4292651

Observation 841e2b49-eeb1-43fd-936b-213bd35f6abd · outbound

This paper cites A survey on data-driven software vulnerability assessment and prioritization,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction A survey on data-driven software vulnerability assessment and prioritization,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T17:33:50.070858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:33:50.070858Z digest=sha256:821b239d27168b0dfdd46bb8791a30aaa2fee45f275d9758d73f5d83913a8cac

Observation 1d0c20d0-2715-4d87-998a-caae56ae3c97 · outbound

This paper cites A survey of learning- based automated program repair,.

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction A survey of learning- based automated program repair,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:33:51.384527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:33:50.267762Z digest=sha256:049df88409abd856a8eb6302b14252a14c514e2e55f95c668a2b36c537617398

Pith citing papers

No inbound Pith citation observations are available.