Paper Citation Record · LEDGER

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.05772.

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

pith.paper-citation-record.v1
2607.05772 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T00:44:40.966801Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact3
verified fuzzy33
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2819416d-ddbc-41a4-be99-d3f0a18dd17c · outbound

This paper cites Qwen Technical Report.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Qwen Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T00:45:49.144369Z

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.

Observation 5339c4b6-9df1-440f-8f2c-615a3152657e · outbound

This paper cites In: Proceedings of the 44th international conference on software engineering.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 44th international conference on software engineering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.311695Z

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.

Observation 57c0aedb-ff90-467a-b4d3-9b02f4c7b1c0 · outbound

This paper cites Information and Software Technology 136, 106576 (2021).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Information and Software Technology 136, 106576 (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.316990Z

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.

Observation cc4b3abb-a96f-4d54-a110-a0f87ad90701 · outbound

This paper cites In: Proceed- ings of the IEEE/ACM 46th International Conference on Software Engineering.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceed- ings of the IEEE/ACM 46th International Conference on Software Engineering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.266436Z

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.

Observation 4ae2b070-acea-4ed2-9476-0f673fdb97cf · outbound

This paper cites Journal of Systems and Software241, 113001 (2026).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Journal of Systems and Software241, 113001 (2026)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.288350Z

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.

Observation 3dcc7665-aa44-4400-90c2-bd75d4c0a3ea · outbound

This paper cites ACM Transactions on Software Engineering and Methodology (2024).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents ACM Transactions on Software Engineering and Methodology (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.279478Z

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.

Observation 240a4a48-063a-4079-8a01-de137b58a439 · outbound

This paper cites In: Findings of the association for computational linguistics: EMNLP.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Findings of the association for computational linguistics: EMNLP

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.309614Z

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.

Observation 23bbc6ab-f7eb-4c7c-bcd9-ff765083ae59 · outbound

This paper cites 1536–1547 (2020) Detecting VICs via Multi-Stage Reasoning with LLM-Based Agents 15.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents 1536–1547 (2020) Detecting VICs via Multi-Stage Reasoning with LLM-Based Agents 15

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.264705Z

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.

Observation adf4e8ef-2fd8-4ffe-802f-2d612129631b · outbound

This paper cites In: Proceedings of the 19th international conference on mining software repositories.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 19th international conference on mining software repositories

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.268297Z

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.

Observation c0f75b55-9830-4514-b62c-f35a83adc71c · outbound

This paper cites In: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.284398Z

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.

Observation 763e245c-4218-48dc-b387-3ced2403c77c · outbound

This paper cites IEEE Transactions on Software Engineering49(1), 44–63 (2022).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents IEEE Transactions on Software Engineering49(1), 44–63 (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.321992Z

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.

Observation ecdd672f-f08c-4aef-8c17-8f6a75027192 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology 35(2), 1–72 (2026).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents ACM Transactions on Software Engineering and Methodology 35(2), 1–72 (2026)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.315259Z

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.

Observation 7347555d-ff75-45ca-9903-974dd54b9178 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology33(7), 1–28 (2024).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents ACM Transactions on Software Engineering and Methodology33(7), 1–28 (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.300221Z

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.

Observation 12ee7b80-0982-4e28-a857-3eeb41a7f3f7 · outbound

This paper cites In: Proceedings of the 31st International Conference on Computational Linguistics.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 31st International Conference on Computational Linguistics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.318675Z

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.

Observation dd1eec46-206e-4ded-8a79-a332d5f3e020 · outbound

This paper cites Vicinagearth1(1), 1–43 (2024).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Vicinagearth1(1), 1–43 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.320270Z

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.

Observation 4c64367e-10e0-4389-b451-7e013cc5c191 · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing19(4), 2821–2837 (2021).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents IEEE Transactions on Dependable and Secure Computing19(4), 2821–2837 (2021)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.323778Z

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.

Observation b6930b0c-67c9-4114-8a04-2cb91216cd54 · outbound

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

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents VulDeePecker: A Deep Learning-Based System for Vulnerability Detection

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T00:45:49.146892Z

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.

Observation 9ada07dd-2997-4285-9121-8a0f6621d64c · outbound

This paper cites In: NDSS (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: NDSS (2025)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.303720Z

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.

Observation 58fe5b3b-1ac6-43ce-8643-3ddc56b46312 · outbound

This paper cites DeepSeek-V3 Technical Report.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents DeepSeek-V3 Technical Report

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T00:45:49.139407Z

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.

Observation bf13538d-0f9b-4612-b03e-282305202017 · outbound

This paper cites Journal of Systems and Software212, 112031 (2024).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Journal of Systems and Software212, 112031 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.302100Z

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.

Observation b13b0c28-638e-45ee-a129-6a7e7dd70519 · outbound

This paper cites arXiv preprint arXiv:2412.01928.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents arXiv preprint arXiv:2412.01928

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-09T00:45:49.137081Z

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.

Observation 6c2d389d-5798-4189-8367-a5b0fa3668b3 · outbound

This paper cites Journal of Systems and Soft- ware214, 112014 (2024).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Journal of Systems and Soft- ware214, 112014 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.305585Z

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.

Observation d8a4c78a-94aa-44d5-b9a7-0760edbda1ec · outbound

This paper cites In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.307651Z

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.

Observation 686584a9-3b7f-40b0-a641-f7a8be8f01e0 · outbound

This paper cites Empirical Software Engineering31(1), 18 (2026).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Empirical Software Engineering31(1), 18 (2026)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.313478Z

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.

Observation 761e3f09-9eed-43e9-be6c-2847854e8110 · outbound

This paper cites an unresolved cited work.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-07-09T00:45:49.296826Z

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.

Observation fd8013b4-8a32-406c-9a68-ed75b47745d9 · outbound

This paper cites Internet of Things 22, 100808 (2023).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Internet of Things 22, 100808 (2023)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.289950Z

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.

Observation 9f03a980-e06e-4aef-af3c-b398d368c1d7 · outbound

This paper cites In: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.291619Z

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.

Observation e9a1b692-3e92-45c8-a8f4-b13866aab8ac · outbound

This paper cites Empirical Software Engineering26(3), 46 (2021).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Empirical Software Engineering26(3), 46 (2021)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.293442Z

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.

Observation 5f7831b1-4d7a-43c2-a680-492ef3276774 · outbound

This paper cites In: 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-09T00:45:48.798736Z

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.

Observation b541ae95-8c13-4d0c-812e-852f516692fe · outbound

This paper cites Empirical Software Engineering30(1), 20 (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Empirical Software Engineering30(1), 20 (2025)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.298453Z

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.

Observation 7464236a-fa97-4b57-8d35-66c88ee96bc3 · outbound

This paper cites In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T00:45:48.805594Z

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.

Observation bfd187e6-68c2-4025-b2a0-a968b6c80947 · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents IEEE Transactions on Dependable and Secure Computing (2025)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.327257Z

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.

Observation b36c98d8-5345-4773-ab4d-b73d67426c6f · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.281165Z

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.

Observation 817ee31b-fdb5-44b3-a12c-120758eafc30 · outbound

This paper cites In: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.282813Z

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.

Observation 06eb42ff-2a7c-4b34-af2f-3c89b0daf26d · outbound

This paper cites A Contemporary Survey of Large Language Model Assisted Program Analysis.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:45:49.142012Z

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.

Observation 44b4e537-4eee-4201-a764-bba4c97304f7 · outbound

This paper cites Computers & Security148, 104181 (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Computers & Security148, 104181 (2025)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.286702Z

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.

Observation 2ad92798-e8a8-4eda-bfaa-1874a4c02b0e · outbound

This paper cites In: GLOBECOM 2017-2017 IEEE Global Communications Conference.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: GLOBECOM 2017-2017 IEEE Global Communications Conference

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.276440Z

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.

Observation eeafe475-9d0e-4985-9763-6198ff59bf2b · outbound

This paper cites ACM Transactions on Software Engineering and Methodology (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents ACM Transactions on Software Engineering and Methodology (2025)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.325531Z

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.

Observation 007ea297-0515-4083-9048-8cce159fe026 · outbound

This paper cites In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.270505Z

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.

Observation b4b2de5c-5fe2-4f5a-8d7b-db9e5a5889b8 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology34(5), 1–31 (2025).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents ACM Transactions on Software Engineering and Methodology34(5), 1–31 (2025)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.272588Z

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.

Observation 794d34a2-a9cd-4f6e-ad60-addee909b5a0 · outbound

This paper cites Advances in neural information processing systems32(2019).

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents Advances in neural information processing systems32(2019)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T00:45:49.274584Z

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.

Pith citing papers

No inbound Pith citation observations are available.