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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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=sha256:9bef3566a01aa2a70c54a1d7ffefa85226157a24c569c708541aa812640af73b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.314168Z digest=sha256:616b919b8b84507bf35a07041a16fca3f5f843861001b10b241e6cf0730e8c9e

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=sha256:66bc04adfd34e37ac0aca6070b9880436f5e8c68527992d18813913f763dde59

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.329240Z digest=sha256:23c008ecb526db7bce2657f32adfd33215b2cd464ea3f9a0a38ba5d13a2a5c81

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:fb62f35db7dc75698ef3105f2320d252443c8d58e6ef6dcae53d4e20bdba3221

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=sha256:926f7c45fbf7a453d93c0ff914374d1b9851c226bdaedeb9674ca57a68d26188

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:c3da4bfc5401bfe834a14ddcc2f01ff81bdc75caa6f1dd28abc9cb7899acf08e

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

Resolution
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=sha256:19d58de1a0d3d14129890d51a8f59bbe8729a73da22fa72c4ca057b6afe3f80d

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=sha256:7dde98b6d13e7f6020868ede116acf342aec808ed1c89a67889f8184a4f78fb1

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:f4df2c50340478db9bc8620eeb05f405bbc8e024d5d2090dbf557bb8bdad783c

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:f09bea8847ebccb75efdf25617882cf8eb68e4e6e1886073a1297259a7d13b2e

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:a7d0e1e8962383e83eb0003172a7035b0444d92211a00dc287838fa7408f1fbe

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:c81086d51782cc1fabefd1a193b2eefeb4835d304fbc7d084a7c48c050a52204

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=sha256:4484ad6d1d73a2c4a62e3bc971c42951d3f6a1447cc00027d3467938e313f5d2

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:c2fb3dbae762e0f97b3da2830de0f7ef77547a6e2c7eb89da67f0615f887f1cb

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=sha256:3879034bcecec431b4270cac275ae9d16b59e877117537a3b45f738490ff6c1c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.387759Z digest=sha256:864619da64bcde130b486bde2824a4937fb86f22b3680da684584c554340223e

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:c05e1c96b62b9a16cd1b66d430b717493cc9840bd8dfdc0d9ba2f823491a6e4d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.395643Z digest=sha256:69dfa4e5c7936f3aa343f350600db2c1d0ba2f7a0f5f661c812eba06a305a617

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.399443Z digest=sha256:b7f016f097133d4cbfb5b88df6010a525ca00d54cede9e777fa430f18564460c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.403082Z digest=sha256:760bc7436e5fa1d7a14bad1464948773e7ab9701cc0a02258a5dc9c1cef707b6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.407184Z digest=sha256:80fb508337de11094a28b80833a46b8a9fa652ba9888466c7c6a6a5301c8917a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.411454Z digest=sha256:80614a0a8a7240e44ab051fef35f514e659297e171a08a1118674fd5227322d1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T11:10:19.414687Z digest=sha256:938ba0b8a53e30c7076a2da8e1f31e53c3fbaa4e1b77b5c614eb6a501c3f808e

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

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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=sha256:96837b8ef387b200a71fab106d9626ac3d6d147a5cff9ea3caa9d7c7531cb037

Pith citing papers

No inbound Pith citation observations are available.