Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:30:50.204061Z
Paper Citation Record · LEDGER
MultiAIGCD: A Comprehensive dataset for AI Generated Code Detection Covering Multiple Languages, Models,Prompts, and Scenarios
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T08:54:46.687712Z
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Observation 0bc9fd19-700e-44ba-98e9-0e56896ab335 · outbound
This paper cites 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Observation 0291f657-d009-4203-9398-408db3029872 · outbound
This paper cites @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 2026-08-09T06:31:02.800959+00:00.
Observation 0e6ace61-e611-4aa1-9c51-0c34e68421c0 · outbound
This paper cites 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 2026-08-09T06:31:02.800959+00:00.