Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1

The DOI matches its Crossref record.

Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions

Zhang, Xiaowen, Zhang, Hannuo, Tan, Shin Hwei·2026·Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3832783.3834378

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 26

  1. 10.1109/IEEESTD.1990.101064 · DOI · Paper page
  2. 10.1145/3587155 · DOI
  3. Jacob Cohen. 2013. Statistical power analysis for the behavioral sciences. routledge. doi:10.4324/9780203771587 10.4324/9780203771587 · DOI · Paper page
  4. 10.48550/arXiv.2508.10146 · DOI · Paper page
  5. 10.1023/B:DAMI.0000005258.31418.83 · DOI · Paper page
  6. 10.1007/s10664-026-10857-9 · DOI
  7. 10.48550/arXiv.2601.15232 · DOI
  8. 10.1109/TSE.2016.2597136 · DOI
  9. 10.1145/1181309.1181314 · DOI · Paper page
  10. 10.1109/BigData66926.2025.11402104 · DOI
  11. 10.1145/3788873 · DOI
  12. 10.1109/ASE63991.2025.00330 · DOI
  13. 10.1016/S0016-0032(96)00063-4 · DOI · Paper page
  14. Melissa Z Pan, Mert Cemri, Lakshya A Agrawal, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Kannan Ramchandran, Dan Klein, Joseph E. Gonzalez, Matei Zaharia, and Ion Stoica. 2025. Why Do Multiagent Systems Fail?. In ICLR 2025 Workshop on Building Trust in Language Models and Applications. https://openreview.net/forum?id=wM521FqPvI
  15. 10.1007/978-981-16-1160-5_13 · doi:10.1007/978-981-16-1160-5_13
  16. 10.1371/journal.pone.0188709 · DOI · Paper page
  17. 10.1145/3468264.3468591 · DOI
  18. 10.1109/FUZZY.2010.5584447 · DOI · Paper page
  19. 10.1145/3747289 · DOI
  20. Hironori Washizaki (Ed.). 2024. Guide to the Software Engineering Body of Knowledge (SWEBOK Guide) Version 4.0. IEEE Computer Society. https://www.swebok.org
  21. Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, and Chi Wang. 2024. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversations. In First Conference on Language Modeling. https://openreview.net/forum?id=BAakY1hNKS
  22. 10.1145/3597926.3598138 · DOI
  23. 10.1109/ASE63991.2025.00278 · DOI
  24. Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao. 2023. ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations. https://openreview.net/forum?id=WE_vluYUL-X
  25. 10.1145/3640912.3640961 · doi:10.1145/3640912.3640961
  26. 10.1145/3643759 · DOI

Cited by

See all 1

Metadata

Authors
Zhang, X., Zhang, H., & Tan, S. H.
Venue
Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering
Publisher
ACM
Published
2026-10-07
Pages
601-612
Cited by
0
References
0
Funders
Natural Sciences and Engineering Research Council of Canada (RGPIN-2024-04301)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions. https://app.cochat.ai/papers/10.1145/3832783.3834378
The paper
Zhang, X., Zhang, H., & Tan, S. H. (2026). Understanding Bugs in Modern Agentic Frameworks: A Study of Symptoms, Root Causes, and Triggering Conditions. Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1145/3832783.3834378

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.