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Paper Citation Record · LEDGER

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2504.16310.

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

pith.paper-citation-record.v1
2504.16310 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:10:19.417771Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved13
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e81cdf66-fc56-4c78-ac4c-bfaa72eb8977 · outbound

This paper cites Mi ning code review data to understand waiting times between accept ance and merging: an empirical analysis,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Mi ning code review data to understand waiting times between accept ance and merging: an empirical analysis,

Reference 1

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malformed identifier
no resolver link, observed 2026-08-16T11:10:19.306650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.306650Z digest=sha256:fe8c697ebea1267e1cb5a592c9d2524b284acb50f8aae2e3895cc73e995d0de3

Observation 860a4f91-48a3-457d-b3ff-ff61b30678d3 · outbound

This paper cites Impact of peer code review on pee r impression formation: A survey,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Impact of peer code review on pee r impression formation: A survey,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.303903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.314168Z digest=sha256:a61e23465b0e2b8efe2bf01462d453f57b30bd70250dd9884b5111fa31697bc9

Observation 224b8715-f0e5-4fec-9a72-7e6cfd332fbc · outbound

This paper cites LLaMA- Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning ,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws LLaMA- Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning ,

Reference 4

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unresolved
no resolver link, observed 2026-08-16T11:10:19.324270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.324270Z digest=sha256:ac4bb345db3c4c347a90a6131a2e8cb16f44bfd8104c51c7484f4cd7b0d2de41

Observation ef9c621f-4039-48da-8593-1ec4f860b76c · outbound

This paper cites D-act: Towards diff-aware code transformation for code re view under a time-wise evaluation,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws D-act: Towards diff-aware code transformation for code re view under a time-wise evaluation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.290803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.329240Z digest=sha256:9aeca77059344eb44bedc0370ca58a1636d3128815705337e3be742e332f4bc4

Observation 6905c5c2-f67b-40b3-acbd-eca6023235b0 · outbound

This paper cites Code review automation: Strengths and weaknesses of the st ate of the art,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Code review automation: Strengths and weaknesses of the st ate of the art,

Reference 6

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unresolved
no resolver link, observed 2026-08-16T11:10:19.333672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.333672Z digest=sha256:da2c8a75ce1ad6c45a3b466a84fc101973f293ff1988500a21a543f5116936a3

Observation 989a4add-77b8-4a25-b469-f213d237da8c · outbound

This paper cites Codee ditor: Learning to edit source code with pre-trained models,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Codee ditor: Learning to edit source code with pre-trained models,

Reference 7

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unresolved
no resolver link, observed 2026-08-16T11:10:19.339410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.339410Z digest=sha256:0abb9edaa553d17b6a95700e4c4d0b73bea6382cd4f6da41c0fce7ba34601316

Observation 290231a8-b285-404d-85fd-807a3f36ee41 · outbound

This paper cites Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities ,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities ,

Reference 8

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unresolved
no resolver link, observed 2026-08-16T11:10:19.344482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.344482Z digest=sha256:f414a46c0a137251a3f84d8dbd15df170583da47cd5c5c65e341cc6b9cbc8f93

Observation b1892daa-ddde-40f9-988c-6ea1d22ea2fd · outbound

This paper cites Software security during mode rn code review: the developer’s perspective,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Software security during mode rn code review: the developer’s perspective,

Reference 9

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malformed identifier
no resolver link, observed 2026-08-16T11:10:19.349151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.349151Z digest=sha256:4479adc8ce6263be4b02b7fcdcab64ea516db8a1ff265fe5d14704580ecc8877

Observation e58536cc-29d1-4d63-9abc-6baba75c8e9b · outbound

This paper cites Automa ting code review activities by large-scale pre-training,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Automa ting code review activities by large-scale pre-training,

Reference 10

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unresolved
no resolver link, observed 2026-08-16T11:10:19.353675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.353675Z digest=sha256:a9414dd2ad8b6f6bb57d829802a5443100f18c7227fdd7ee79f34ebc476508ae

Observation ead7ae73-c588-4516-b52c-11ce50618a59 · outbound

This paper cites Using pre-trained models to boost code revie w automation,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Using pre-trained models to boost code revie w automation,

Reference 11

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unresolved
no resolver link, observed 2026-08-16T11:10:19.358363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.358363Z digest=sha256:9ae4dad8e7e7449d81b08d770df50b1ca319c67556f7245839aa3d942eb83fc8

Observation 70c54712-4d92-44db-9352-36caabd956f1 · outbound

This paper cites Improving automated code reviews: Learning from experien ce,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Improving automated code reviews: Learning from experien ce,

Reference 12

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unresolved
no resolver link, observed 2026-08-16T11:10:19.362757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.362757Z digest=sha256:ede61025ba6ea94a7bfc9e506f2c90cf20e36509c1ce74fbcd8e894813b38bc7

Observation 0e1377ff-7cbd-45a0-ab31-08fa0c5309ea · outbound

This paper cites Towards automating code review activities,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Towards automating code review activities,

Reference 13

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unresolved
no resolver link, observed 2026-08-16T11:10:19.368200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.368200Z digest=sha256:46d838830be2b1d5777412efeca9e490e892c80d9f48641342b8440e5d5fd7e9

Observation 635a6bd5-24ff-47a6-8974-6df30e46217a · outbound

This paper cites Exploring the potential of chatgpt in automated code refine ment: An empirical study,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Exploring the potential of chatgpt in automated code refine ment: An empirical study,

Reference 14

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unresolved
no resolver link, observed 2026-08-16T11:10:19.372229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.372229Z digest=sha256:c165b45d152acd67b0930aa4326099382048de39af911aec34862ceee0167bc5

Observation 4dcc0375-261d-44a2-bc9f-5542f0254046 · outbound

This paper cites Curated email-based code reviews datasets,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Curated email-based code reviews datasets,

Reference 15

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malformed identifier
no resolver link, observed 2026-08-16T11:10:19.376059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.376059Z digest=sha256:72fed7473475377778feb52734b090fcdf56cec0c67b5daf3de236ff4ef7aa05

Observation 002c633e-e099-48bf-8e39-e1ee29d0c66e · outbound

This paper cites Synthetic Dialogue Dataset Generation using LLM Agents.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Synthetic Dialogue Dataset Generation using LLM Agents

Reference 16

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unresolved
no resolver link, observed 2026-08-16T11:10:19.380284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.380284Z digest=sha256:abc1efe68e04904a2231f8ec5b83d0c30855381c96948c47b7c25185684b5849

Observation d4cf3795-9429-4d94-a171-5e5482a57de5 · outbound

This paper cites Llm based generation of item-description for recommendation system,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Llm based generation of item-description for recommendation system,

Reference 17

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unresolved
no resolver link, observed 2026-08-16T11:10:19.384310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.384310Z digest=sha256:d99ae84f3f9453b4738c89dbc3ebb4bdbe50c02c6eb5a0197f6c403bcc50ea01

Observation 5382a45a-a23f-4bef-a783-22820c764b47 · outbound

This paper cites Unnatu ral instructions: Tuning language models with (almost) no huma n labor,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Unnatu ral instructions: Tuning language models with (almost) no huma n labor,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.278994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.387759Z digest=sha256:a307b4f66cbc12e53a0f213612c68275040213007d528f4e05d2af12ce1162cb

Observation 0ff7a3f5-da61-4a59-8b5d-643146f02965 · outbound

This paper cites ZeroGen: Efficient Zero-shot Learning via Dataset Generation.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Reference 19

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unresolved
no resolver link, observed 2026-08-16T11:10:19.391259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.391259Z digest=sha256:31fda593235aa4c94933aa3a36c99fcd6cb6a27836dd3ec41f7f9d020cb4b344

Observation 151b5831-fb26-4f17-ae14-688ec1c690be · outbound

This paper cites Large language model as attributed training data generator: a tale of diversity and bias,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Large language model as attributed training data generator: a tale of diversity and bias,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.266155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.395643Z digest=sha256:1a843ed9662699a57276e12c442af0c80610c021fe82c3d614e907b5a3e98e61

Observation d6c32e0a-b172-4105-8243-7b87fa0d408e · outbound

This paper cites Why security defects g o unnoticed during code reviews? a case-control study of the chromium os project,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Why security defects g o unnoticed during code reviews? a case-control study of the chromium os project,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.253365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.399443Z digest=sha256:f6413ff96a4b81c4e2b943d70c08ff507777524369f2ee13820d97dfaf957ac6

Observation 3ca48cb9-4d1d-4d5e-a274-6ef839521064 · outbound

This paper cites Characteristics of the vulnerable code chang es identified through peer code review,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Characteristics of the vulnerable code chang es identified through peer code review,

Reference 22

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T11:10:19.549628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.403082Z digest=sha256:009ce6afe8d4006418e3f3c1404c9c22b014ce5cfcbf9701da76cb68e7626ff7

Observation ac048c3a-1e6f-42c4-835c-ac1ca8d66103 · outbound

This paper cites Empirical analysis of security-related cod e reviews in npm packages,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Empirical analysis of security-related cod e reviews in npm packages,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.240299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.407184Z digest=sha256:c03ebc0cc01f58849e3e0926dbfa77d30f6115fe3453aade4c4a6ab3ac300f2f

Observation fc0c4e15-692c-4ae2-a92a-52891361d276 · outbound

This paper cites Language models are few-shot learners,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Language models are few-shot learners,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.228027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.411454Z digest=sha256:d0e4e360aaad78631a12b0ff7ed7ccccb9fddbc0bf04869fe677baa01d6cfdbc

Observation d136cf70-a614-496c-93cc-836cf58b5b27 · outbound

This paper cites Chain-of-thought prompting elicits r easoning in large language models,.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Chain-of-thought prompting elicits r easoning in large language models,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:20.216355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:10:19.414687Z digest=sha256:451a488470c2a0620d0acea34d7fa6b80f268f6cc0aa1e8d3692b00207ee6b05

Observation 9afa88c1-18ec-429d-b387-571d4ac6f870 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:19.417771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:19.417771Z digest=sha256:8ad317453663ee54a6c577c89448ecd1db1d6562dfbb52ba0bfc97e110b5a854

Pith citing papers

No inbound Pith citation observations are available.