Paper Citation Record · LEDGER

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2507.21693.

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

pith.paper-citation-record.v1
2507.21693 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:30:50.204061Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:54:46.687712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:38:07.322370Z

Reference resolution

45 of 45 outbound references displayed

verified exact1
verified fuzzy34
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f44a8b65-e568-4899-af2a-1126bdd0d709 · outbound

This paper cites In: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), IEEE, pp 1--8.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), IEEE, pp 1--8

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.658383Z

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.

Observation 440760c3-d5cb-4ea4-b1d7-e964137e5269 · outbound

This paper cites In: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 54th ACM Technical Symposium on Computer Science Education V

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.651273Z

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.

Observation ef89c089-a432-4b4c-9bb0-18a60bcfc19c · outbound

This paper cites In: Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, pp 17--25.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, pp 17--25

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.643049Z

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.

Observation 42a02ce1-eb5f-4e17-ae6e-7b6c32ff6e31 · outbound

This paper cites Information 15(12):819.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Information 15(12):819

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.635267Z

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.

Observation 544fcc7d-22ed-4917-a049-2a85aae742f5 · outbound

This paper cites Information and Software Technology 177:107572.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Information and Software Technology 177:107572

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.628090Z

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.

Observation 93fd3dfd-e1f5-4a89-9db0-abac9f665f32 · outbound

This paper cites arXiv preprint arXiv:241216594.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:241216594

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.621125Z

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.

Observation 4668e7d2-9710-46f6-b7ca-a4f6fdf453ba · outbound

This paper cites arXiv preprint arXiv:231104205.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:231104205

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.614105Z

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.

Observation aa334850-67f7-43a5-bb6e-2b629e3687d6 · outbound

This paper cites arXiv preprint arXiv:200208155.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:200208155

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.606183Z

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.

Observation c58335ac-3645-47c1-8155-f97361902e02 · outbound

This paper cites In: 2025 5th International Conference on Advanced Research in Computing (ICARC), IEEE, pp 1--6.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: 2025 5th International Conference on Advanced Research in Computing (ICARC), IEEE, pp 1--6

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.596212Z

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.

Observation f10cef29-f31c-4413-a05b-9645c4f838a6 · outbound

This paper cites arXiv preprint arXiv:250611059.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:250611059

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.589281Z

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.

Observation 17f1f061-f988-4930-b1db-33c7a16e1f2a · outbound

This paper cites arXiv preprint arXiv:241214611.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:241214611

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.581557Z

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.

Observation 72e77731-9765-4c6c-845a-e1f2e94ee98b · outbound

This paper cites In: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.113403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac12d87e-aac9-4008-b917-e1ebf597b4bf · outbound

This paper cites ACM Transactions on Software Engineering and Methodology 33(8):1--79.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios ACM Transactions on Software Engineering and Methodology 33(8):1--79

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.574524Z

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.

Observation 37db8049-2bea-48fe-986b-4db6a3e2356f · outbound

This paper cites In: Proceedings of the 21st International Conference on Mining Software Repositories, pp 394--406.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 21st International Conference on Mining Software Repositories, pp 394--406

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.567624Z

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.

Observation f9dcac7a-bf38-4a5b-a1ad-7d68f38b1f2c · outbound

This paper cites In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), IEEE, pp 563--575.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), IEEE, pp 563--575

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.560865Z

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.

Observation c40f42e3-272a-45c4-8557-035431b7d29d · outbound

This paper cites arXiv preprint arXiv:241219437.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:241219437

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.554424Z

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.

Observation 4a8f5c8c-6e02-4054-9d9a-e9402cb74931 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology 33(5):1--26.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios ACM Transactions on Software Engineering and Methodology 33(5):1--26

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.548000Z

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.

Observation 11ec876d-caa9-4a60-9cbf-c6063bb1db58 · outbound

This paper cites Journal of Systems and Software 214:112059.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Journal of Systems and Software 214:112059

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.540730Z

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.

Observation cf6758b5-ea2f-47e6-ba78-b4a07e56c359 · outbound

This paper cites arXiv e-prints pp arXiv--2405.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv e-prints pp arXiv--2405

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.534043Z

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.

Observation 09c6f996-18e6-42f2-97d0-235c57b4fb04 · outbound

This paper cites arXiv preprint arXiv:250313733.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:250313733

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.526822Z

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.

Observation ee31a374-c6aa-472c-87a4-f12ee64d08ca · outbound

This paper cites $\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios $\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T12:30:50.305460Z

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.

Observation f1e9d590-7c7f-4a8a-a8a6-2937a785c13d · outbound

This paper cites In: Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, pp 1--11.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, pp 1--11

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.520228Z

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.

Observation cb213858-93f3-41d5-9ad5-4d7698d58d51 · outbound

This paper cites an unresolved cited work.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:30:50.513580Z

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.

Observation 0bc9fd19-700e-44ba-98e9-0e56896ab335 · outbound

This paper cites IEEE Access.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios IEEE Access

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.507102Z

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.

Observation 7c6e2a1c-7822-4710-9a29-75e3f6ea2e96 · outbound

This paper cites In: International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, Springer, pp 44--64.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, Springer, pp 44--64

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.500794Z

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.

Observation 3254d76f-133c-4aa9-9814-c81577e1ada1 · outbound

This paper cites it’s weird that it knows what i want.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios it’s weird that it knows what i want

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.494896Z

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.

Observation 8a1c53c7-aed8-48c4-bf70-098391230858 · outbound

This paper cites an unresolved cited work.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:30:50.488832Z

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.

Observation d1028289-efbf-46fb-8eb8-cceca0b6aef5 · outbound

This paper cites arXiv preprint arXiv:240901382.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:240901382

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.482974Z

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.

Observation f4e7016b-f858-44a9-a354-a391bc5671fc · outbound

This paper cites arXiv preprint arXiv:240606608.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:240606608

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.476607Z

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.

Observation cad01af8-819c-4a92-982e-b957d1a4b20e · outbound

This paper cites an unresolved cited work.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:30:50.470186Z

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.

Observation 5bed6f94-1907-431c-953a-58e297e2233f · outbound

This paper cites In: Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, pp 33--43.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, pp 33--43

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.462174Z

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.

Observation 4f253345-94b6-439d-b6e6-80155e234784 · outbound

This paper cites arXiv preprint arXiv:230405193.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:230405193

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.453864Z

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.

Observation 42d6a014-542b-4aae-a474-dba2b4ad434f · outbound

This paper cites arXiv preprint arXiv:240702395.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:240702395

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.446587Z

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.

Observation 3d537086-eaa2-4012-aa82-e4f27c470311 · outbound

This paper cites arXiv preprint arXiv:231000746.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:231000746

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.439673Z

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.

Observation 24253468-0a66-437a-b13b-e9f84f8c9820 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios ACM Transactions on Software Engineering and Methodology

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.431978Z

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.

Observation 8c9671b5-336a-4f49-a6b7-b66bbbec0d81 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 23155--23162.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 23155--23162

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.424596Z

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.

Observation 5649cbd3-854e-40b8-b08d-afc32aa3a943 · outbound

This paper cites arXiv preprint arXiv:250103288.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:250103288

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.417335Z

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.

Observation a90c9d0e-7470-4c14-ad87-875ab191249d · outbound

This paper cites arXiv preprint arXiv:231005103.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:231005103

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.409302Z

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.

Observation b62e21bd-fbc8-476f-9fcb-2dd20ecbc7a3 · outbound

This paper cites arXiv preprint arXiv:240516133.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios arXiv preprint arXiv:240516133

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:30:50.402224Z

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.

Observation 0291f657-d009-4203-9398-408db3029872 · outbound

This paper cites @esa (Ref.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios @esa (Ref

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.180137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbeaa43-2d60-493c-b5e7-69968dbc5c0b · outbound

This paper cites an unresolved cited work.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.183066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c3cb46-eb05-4da4-a523-f6f0a8701a38 · outbound

This paper cites WZ5Zyz ; <8 F^zŋM<yI_d H`=.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios WZ5Zyz ; <8 F^zŋM<yI_d H`=

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:30:50.294519Z

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.

Observation 0e6ace61-e611-4aa1-9c51-0c34e68421c0 · outbound

This paper cites sn-basic.bst.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios sn-basic.bst

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.198697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c083722-26d8-4a3e-89db-80a67c5decec · outbound

This paper cites write newline.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.201296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a984832-0cf9-4c86-841d-8006f43f9d97 · outbound

This paper cites write newline.

MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios write newline

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T12:30:50.204061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 93c362da-f3d1-41c3-8f3d-c3082361dbb1 · inbound

HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection cites this paper.

HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:38:07.323758Z

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.