Paper Citation Record · LEDGER

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2506.00788.

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

pith.paper-citation-record.v1
2506.00788 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:52.495828Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:06:54.566512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:10:11.187218Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy16
unresolved20
parse uncertain0
malformed identifier5
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63e87d23-2fa4-4f34-9892-b14a57bf6627 · outbound

This paper cites Soft- ware and Systems Modeling 21(3), 1015–1045 (2022) https://doi.org/10.1007/ s10270-021-00942-6.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Soft- ware and Systems Modeling 21(3), 1015–1045 (2022) https://doi.org/10.1007/ s10270-021-00942-6

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:02:53.033171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dcc7f7c-da2d-4ca1-a78c-7198a701f4aa · outbound

This paper cites Soft- ware and Systems Modeling 21(3), 1071–1089 (2022) https://doi.org/10.1007/ s10270-022-00975-5 35.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Soft- ware and Systems Modeling 21(3), 1071–1089 (2022) https://doi.org/10.1007/ s10270-022-00975-5 35

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:02:53.023391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7de6629a-36a1-4e6c-9ff6-22d68510ebf5 · outbound

This paper cites In: Innovations in Smart Cities Applications, Volume 8.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation In: Innovations in Smart Cities Applications, Volume 8

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:02:53.013742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5cef11a-6d6e-41d4-9896-4d05f0d79eed · outbound

This paper cites Software and Systems Modeling 22(3), 781–793 (2023) https://doi.org/10.1007/ s10270-023-01105-5.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Software and Systems Modeling 22(3), 781–793 (2023) https://doi.org/10.1007/ s10270-023-01105-5

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:02:53.003737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a711d792-f369-4a37-b1be-d138eaf3376e · outbound

This paper cites Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:51.476075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439061c8-db13-41d4-95da-5f2037f87e0b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:51.568341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4da2f8-28a2-4ce1-ad19-6cc3ac1ad827 · outbound

This paper cites Program Synthesis with Large Language Models.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Program Synthesis with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:51.732291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db1a439-87ad-47a0-8ab6-38f0339949bc · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Measuring Coding Challenge Competence With APPS

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:51.874608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f6bb86-7919-4b65-bb59-23009626306f · outbound

This paper cites Science 378(6624), 1092–1097 (2022) https://doi.org/10.1126/science.abq1158.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Science 378(6624), 1092–1097 (2022) https://doi.org/10.1126/science.abq1158

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:51.930966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1369b828-4e97-4e90-9f09-c5fe08acb4b5 · outbound

This paper cites In: Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation In: Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:52.004015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84c8c8e-ca52-474a-bd79-ea404955b0bb · outbound

This paper cites Information and Software Technology 64, 18–33 (2014) https://doi.org/10.1016/j.infsof.2015.03.006 36.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Information and Software Technology 64, 18–33 (2014) https://doi.org/10.1016/j.infsof.2015.03.006 36

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T12:02:52.551512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2e3744e-13d6-4b2e-bcb8-a19c47f02e48 · outbound

This paper cites Addison-Wesley Professional, Boston, MA, USA (2000).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Addison-Wesley Professional, Boston, MA, USA (2000)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.994091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3ddae8c-919b-4250-b217-d41b585ef6f1 · outbound

This paper cites Prentice Hall PTR, Upper Saddle River, NJ, USA (2004).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Prentice Hall PTR, Upper Saddle River, NJ, USA (2004)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.982834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60cbb171-8d3e-4349-9e5d-ad5346615915 · outbound

This paper cites Addison-Wesley, Reading, MA, USA (1992).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Addison-Wesley, Reading, MA, USA (1992)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.973196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d360fdf4-b71a-418b-87a2-e4d54c1c0160 · outbound

This paper cites Routledge, Hillsdale, NJ, USA (1988).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Routledge, Hillsdale, NJ, USA (1988)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.963983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66db38e6-6110-49fd-a4ed-4db14092ef50 · outbound

This paper cites Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:52.397171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edde116b-9e73-4ddb-a309-a35842a55c6f · outbound

This paper cites In: Proceedings of the 2022 Conference on Empirical Methods in Natural Lan- guage Processing (EMNLP), pp.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation In: Proceedings of the 2022 Conference on Empirical Methods in Natural Lan- guage Processing (EMNLP), pp

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:02:52.953304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb0ce13b-301a-4367-8697-6a1453a3cb42 · outbound

This paper cites In: IEEE Transactions on Software Engineering, vol.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation In: IEEE Transactions on Software Engineering, vol

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T12:02:52.527185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef107796-db5d-47ef-9897-ef5ee2641d1b · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.942960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 821667b2-a9aa-4b9e-af6c-0a707390717d · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.933250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1714c3e-99ad-4373-beda-65115bcea529 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.924058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d4376d5-3271-428a-9984-145d345caa4d · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.915033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6902dd9-17c8-4335-b3e2-9e259863d73f · outbound

This paper cites 39 These metrics correspond directly to the quantitative dimensions analyzed in the Results section, providing a formal foundation for measuring UML behavioral enrichment quality.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation 39 These metrics correspond directly to the quantitative dimensions analyzed in the Results section, providing a formal foundation for measuring UML behavioral enrichment quality

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.896571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6e89d78-a361-49f6-8340-8ee9951ddb3a · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.905716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f87a3480-c4de-4c3f-98d5-72f98d7b9dfc · outbound

This paper cites D.1 Kruskal–Wallis Test.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.1 Kruskal–Wallis Test

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.886655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 845e72c2-6ca3-4fec-946d-e3211a730928 · outbound

This paper cites It is an extension of the Mann–Whitney U test when comparing more than two groups.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation It is an extension of the Mann–Whitney U test when comparing more than two groups

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.877231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d82e9ad-fe1f-4ac4-a222-43696043411f · outbound

This paper cites The test statistic H is: H = 12 N (N + 1) kX i=1 R2 i ni − 3(N + 1) Under the null hypothesis, H approximates a chi-squared distribution with k − 1 degrees of freedom.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation The test statistic H is: H = 12 N (N + 1) kX i=1 R2 i ni − 3(N + 1) Under the null hypothesis, H approximates a chi-squared distribution with k − 1 degrees of freedom

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.867624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fad59d8-f0b8-40b9-a4fe-ccd30066c766 · outbound

This paper cites D.2 Dunn’s Post-Hoc Test.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.2 Dunn’s Post-Hoc Test

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.857723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c23f738c-b5c1-4354-aea1-b3e3f04dbdb2 · outbound

This paper cites It identifies which specific groups differ.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation It identifies which specific groups differ

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.847989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71631380-2d6c-45dc-8dee-491ae91b4ea6 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.837968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c128d43-dfe5-43f9-8b5e-4d8a512d574a · outbound

This paper cites D.3 Chi-Squared Test of Independence.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.3 Chi-Squared Test of Independence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.828129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45919085-cc1c-45ab-90ad-11140feb1562 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.818120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6870cbe1-5b3c-4c99-9deb-49682e0b392c · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.808858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68645bd2-205d-456a-ab5a-95599bcbd0a6 · outbound

This paper cites D.4 Wilcoxon Signed-Rank Test.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.4 Wilcoxon Signed-Rank Test

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.799248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 383c3805-f872-408d-9f94-ba6802a893d4 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.790281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38dc10d3-153f-4a31-850e-a5c6ca0cec46 · outbound

This paper cites Let W be the sum of ranks for positive differences.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Let W be the sum of ranks for positive differences

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.780048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5aac1241-4c69-4121-b0ba-227108c4dcfd · outbound

This paper cites D.5 Cliff ’s Delta ( δ).

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.5 Cliff ’s Delta ( δ)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.770348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19a0885b-c9e4-489c-9f50-87eef279ee2a · outbound

This paper cites It ranges from −1 to +1, where 0 indicates no difference.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation It ranges from −1 to +1, where 0 indicates no difference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.760514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ceea242-faed-4bed-a29e-b1fdcf2dd683 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.749152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a42bac7-1a5e-4c67-b59d-6a522d3e3d98 · outbound

This paper cites D.6 Cram´ er’s V.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation D.6 Cram´ er’s V

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:02:52.739174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae1834c1-a946-4302-b5a4-92f4c9857e67 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.729573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 799d66ca-2c20-444e-9529-bbe96c15aa09 · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.719911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fc76511-bb9a-4cc6-a3a3-8c4b50f5abdc · outbound

This paper cites an unresolved cited work.

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:02:52.710846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 75e373f5-be44-49e6-bbd4-24fdbf7e7c0c · inbound

MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation cites this paper.

MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:10:11.189512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85286369-1272-4017-9509-f3a2373d6bd8 · inbound

Reliability of Large Language Models for Design Synthesis: An Empirical Study of Variance, Prompt Sensitivity, and Method Scaffolding cites this paper.

Reliability of Large Language Models for Design Synthesis: An Empirical Study of Variance, Prompt Sensitivity, and Method Scaffolding Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:28:21.171638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.