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Paper Citation Record · LEDGER

Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction

As of 10 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 2026-08-10T06:31:04.303077+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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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

Unavailable: canonical work link unavailable.

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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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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 2026-08-10T06:31:04.303077+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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

Unavailable: canonical work link unavailable.

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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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:40.183199Z digest=sha256:337cc5e34f6427fa1542869581340f88f2f6969ab0e2e209ea23efb0d1e27468

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:40.301645Z digest=sha256:2a50abc20532d8704a49dbf997c4f0e52a3e251504c0b4313e19aa36d6acca1d

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

Unavailable: canonical work link unavailable.

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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 2026-08-10T06:31:04.303077+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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:41.010826Z digest=sha256:d94f1a9ab39123c499025ccad1788abd181cd60a63cfe4d084d264448d86a7f5

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 2026-08-10T06:31:04.303077+00:00.

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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=sha256:698128cf51892a3984bede757add0fb03f2b61a874d0675ec6ece0c661ede18e

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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raw_fallback, observed 2026-08-06T17:33:56.538397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:41.356005Z digest=sha256:ec5adc26645444daf4f9e59307295a5b84da75c716fa847af9446c5c7a859826

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:41.708014Z digest=sha256:c5c030769387d65527f986eec77861a526306ebf339fddf498290c6754670e2f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:41.907302Z digest=sha256:398ce79dbe10ae445ce5e021eb81b4eebdb6c1590ce2d2b5e71c12bd905a580f

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:aaf207e1415191ab3321b0d887532ad0bf37e824344e0a2dabbe2e876b2dd673

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:42.219644Z digest=sha256:fdedaf5aba520a47da5f1d70893d0d8a780ab187fe65b192cc8dfb1d65922f38

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:42.436593Z digest=sha256:77109077141b1a4bf5d6e9922eb37ffd1221b9f460665c467d6a602f607c1fc6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:42.597592Z digest=sha256:30cd2f0afa6b84471d4ef110268a7713b3f658a3a1bd3bb10f10b7b9a8579f4a

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=sha256:323e4a574c451abd73c8521d2765728acfa2559aa2b4390a58f8671900c0d1ba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:42.912749Z digest=sha256:6e3e18225903dc431240a5bd3a861193503a81a9866972aed22d77e46a629020

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.033679Z digest=sha256:c16980f56af593ea3cce3ba35c4f7120b7e0d8cab6ed48744686b746cec34e94

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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raw_fallback, observed 2026-08-06T17:33:56.416866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.181002Z digest=sha256:43bfe658496040b2a999990df9a9eaccfe1083716c891cf6f917641e3b319196

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.363069Z digest=sha256:7d63f8f6e2b63029f6007fa5093a76d6926769e698c52eabae3b8260db61b1ae

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.543884Z digest=sha256:f3845fe2c718941d78b6ce167b1b3ee72f260c35bf63904f74eb5419b0185c41

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.681098Z digest=sha256:34158ec1e9b9f38aa5c642c4609eff79600b5258344f474c34f107243cf78937

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:43.848861Z digest=sha256:de1ae375c46dc6b25c5e7b8453fb80c55214e6ae646214c6cc892cf7fc8c2b16

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.039429Z digest=sha256:3e593f059320792035b842c942b051802a5e152954436245044f5cbc51bab413

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.180147Z digest=sha256:8b6173bde9379ab32d5394d08d4f4120207d52d1be3fa08ad8a8eb725f950781

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.307052Z digest=sha256:c1d4522f7844c75cfcba6f204d8efaebb930e61e5effa0ded58100bfc6df7b44

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.495412Z digest=sha256:f2380a85166fc5539cc412db76b0f931d38d742930d887ca9969a8d328736c07

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.645717Z digest=sha256:f8a660ffdf0e8bde666934314810f8048f107362c245ea4cd89979e0c262f06f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.843957Z digest=sha256:0d48e31c48b526262cf5ebd8d6f496734f28c0c5130ab80f450c5ca188d33236

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:44.986695Z digest=sha256:7f85dff051764f62ef8161110e299d809616fab9f65d373fd6314c017b891df8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.163543Z digest=sha256:c9e319009b86d0e80961645564dcc3a2c1f9edb3f598a74c7dc46127dd8eaaa1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.295008Z digest=sha256:cfb8f3234fdc79732c4143a69eeacee5006d93df03ead2883cda7484483f59d1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.437099Z digest=sha256:712727a47dc610de1aa1ab74f33f2dd88e7da3d622f5ab4af21a36f9412eaa46

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.564791Z digest=sha256:cc423de6fa7045bd083c8aa4b3887213caef2dad1c8a308067f8740bac3140f7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.738365Z digest=sha256:623e1a282b5f7464623100e76635b3040658bae14adf572d7138ef308c1be391

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:45.963840Z digest=sha256:2a9ecd25f2b05f997623801533143e104f25589b3371276105a3788dd4323dd5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.126892Z digest=sha256:ace6cee36412f07a2c6d538a707a4dc2db7a532011cb1222803cca7765fb1e6b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.262376Z digest=sha256:86d1717116783326606a9c44b4b44479e7da8aa4a37fa3c66d2be14cf698901b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.448462Z digest=sha256:a0a1f8e7963224c8f7e2bd5d3690bc6009eea53a94f96e255db65fde9a6416df

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.642056Z digest=sha256:e7bb6c664c4006a31b0ee98da4ca5cea7b414c59caf958927429fb84db493b38

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.800738Z digest=sha256:28b7683ee4589f0a3acd4aade773fa8b3e20ac346430ec2226a49093816b0068

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:46.970076Z digest=sha256:0ab5287b35bfcf757825fcd49d8202fd242da1f74368bf99660aa0c36569d64e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:47.140487Z digest=sha256:39ffb27e4dfc6381857e0df6097d1fe1187e18c9df85e8ab5589ff1e1a6d0fe5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:47.299393Z digest=sha256:9655898d9bc6811057c4f0427f7e356009bd6821365189c3c45d8d448581e48f

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:d44df6d6c2373c811059c8871b86279f4211b0102aabe5e565399e721c35d6de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:47.592421Z digest=sha256:b9c9f99ae564af8f07ba43d8ad4c3bbc4c958001fbe293f626b54efc7afe3fee

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:47.758587Z digest=sha256:c5e9c8d6949b5a3601b304691e72cd54b535db28eaa874ca48f6e6507c09d104

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:47.968744Z digest=sha256:97a61bb2f55469c441f24a0f529ceb9c9178bd2545d2b978b851a112a37c4559

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=sha256:459a3b62871b3fd2508cea7aa5ab766cf5d4e14fad5d98deef4cbfd980c51a22

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:48.321163Z digest=sha256:aebde17a8f3b6da14694f15f2a465d03d396563ed7ad290c69d3aa6c549476a1

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=sha256:01e952acd613d5762d5c396bdb6b9edcfef414d5c0ee572215d19bf35781bcba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:48.645710Z digest=sha256:6df0e69f9c9b19d24ab47744f43d5f5ca97aa09f4cd1da444d512e7485cf249f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:48.885483Z digest=sha256:33436088f12a92926159ced167c5dfa04c7a9a498f4231c6274e21f52d2c05be

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.039998Z digest=sha256:72d74dc5b483d0374ab0a24882ef0b5ffd2f4969003059da1f72ab86d7f59edf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.220075Z digest=sha256:aeab8d403709d49c0023b8ab90daf575932694f92f05b5bb39897d74b5585faf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.387274Z digest=sha256:fb92e45640a401d35145954db45ef0acb225480d8e7e7fcff560ac54be154958

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.509021Z digest=sha256:a34fa0736e03cd01da469d1709fbbe3b179afc4c104ab91504e151e2364c95bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.618516Z digest=sha256:9ce6c0457e155bb4f488fa9a2e2c0eb0a4e8cd3fe8d6dbb42614bb85c01595dd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.807975Z digest=sha256:464750b1c1aedd41a8b6eb8645523d5b456cb0358324d5e0dd993a98d7641411

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:49.946386Z digest=sha256:4b0d6983ec3080aaf9f3ba232d42e3171af194bfaebe036a477379f15764dd52

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=sha256:379cf2868f38e804c252335d095ba500cbfc5891468dbfd0d5ac7e7cdc3b776a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T17:33:50.267762Z digest=sha256:d66266a30dd9249c58b7681b5d239edadc78ecd0d76c3558eebffdb27ba409de

Pith citing papers

No inbound Pith citation observations are available.