ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis
Pith reviewed 2026-07-02 20:34 UTC · model grok-4.3
The pith
ATM binds task intent, scope, admission, validation and evidence into one chain using a CID broker for shared-mutation decisions.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The AI-Atomic-Framework (ATM) binds task intent, repository scope, write admission, validation, and evidence obligations into one governance chain. A Content Identifier (CID) broker serves as the shared-mutation admission subsystem. Adapter-guided atomization maps write intents to semantic atoms and bounded regions; when persistent atom-map coverage is incomplete, virtual atoms provide temporary auditable governance units for conservative comparison and routing. Governed shared writes are ultimately applied by a neutral steward rather than directly by proposing agents.
What carries the argument
The CID broker as shared-mutation admission subsystem that routes intents via adapter-guided atomization and virtual atoms.
If this is right
- Write intents receive deterministic routing to parallel, serialized or fail-closed paths before any mutation occurs.
- A neutral steward, not the proposing agents, applies all governed writes.
- Virtual atoms maintain auditability when persistent atom-map coverage is incomplete.
- The same governance chain supports both feasibility checks and bounded recovery in single-domain operation.
- Evidence from a 12-scenario design matrix, ATM-AdmissionBench and external-adopter study is consistent with these properties.
Where Pith is reading between the lines
- The single-governance-domain restriction may limit direct use in federated or cross-repository agent teams.
- Virtual atoms could be tested as a general pattern for any collaborative editing system that lacks complete static maps.
- Integration of the CID broker with existing version-control hooks would allow empirical measurement of conflict reduction in live multi-agent workflows.
Load-bearing premise
Adapter-guided atomization plus virtual atoms can supply conservative, auditable routing when persistent atom-map coverage is incomplete without introducing new failure modes or requiring cross-domain coordination.
What would settle it
An observed case in which an incomplete atom map produces an unsafe parallel admission or an unrecoverable state inside a single governance domain.
read the original abstract
Multi-agent LLM systems can decompose software-engineering work into planning, generation, validation, and repair, but a narrower systems problem remains: before any governed shared mutation is applied, a system must decide which concurrently formed write intents may proceed in parallel, which require deterministic composition or serialization, and which must take a fail-closed path. We address this problem with the AI-Atomic-Framework (ATM), a specification-grounded governance substrate for software agents operating within a single governance domain. ATM binds task intent, repository scope, write admission, validation, and evidence obligations into one governance chain. A Content Identifier (CID) broker serves as the shared-mutation admission subsystem. Adapter-guided atomization maps write intents to semantic atoms and bounded regions; when persistent atom-map coverage is incomplete, virtual atoms provide temporary auditable governance units for conservative comparison and routing. Governed shared writes are ultimately applied by a neutral steward rather than directly by proposing agents. Evaluation combines controlled, field, adoption, and extension evidence, including a 12-scenario deterministic design matrix, three archived runner cases, ATM-AdmissionBench, three archived same-file boundary cases, a three-week external-adopter study, and an operational recovery-routing benchmark. The results support feasibility, auditability, and bounded recoverability within the observed single-domain settings, but do not claim broad comparative superiority or cross-clone governance.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces the AI-Atomic-Framework (ATM) as a specification-grounded governance substrate for multi-agent LLM systems performing software-engineering tasks. It binds task intent, repository scope, write admission, validation, and evidence obligations into a single chain, with a CID broker acting as the shared-mutation admission subsystem. Adapter-guided atomization maps intents to semantic atoms and bounded regions; virtual atoms handle incomplete persistent atom-map coverage via temporary auditable units for conservative comparison and routing. Governed writes are applied by a neutral steward. Evaluation draws on a 12-scenario deterministic design matrix, three archived runner cases, ATM-AdmissionBench, three archived same-file boundary cases, a three-week external-adopter study, and an operational recovery-routing benchmark; the results are presented as supporting feasibility, auditability, and bounded recoverability within observed single-domain settings, without claims of broad superiority or cross-clone applicability.
Significance. If the central claims hold, the work supplies a concrete governance mechanism for concurrent write management in multi-agent code synthesis, addressing a practical systems gap between decomposition and safe shared mutation. The multi-method evaluation approach (controlled matrix, archived cases, external study, and benchmark) is a positive feature that strengthens the feasibility argument within the stated single-domain scope.
major comments (2)
- [Abstract] Abstract (paragraph on virtual atoms): the claim that virtual atoms deliver 'conservative comparison and routing' when persistent atom-map coverage is incomplete is load-bearing for the CID broker's admission subsystem and the overall governance chain, yet the manuscript provides no algorithmic specification of atom construction, comparison logic, or decision rules. Without this, it is impossible to verify absence of over-admission (false negatives on conflicts) or under-admission that would break the stated bounded recoverability.
- [Abstract] Abstract (evaluation paragraph): the central claim that the listed evidence 'supports feasibility, auditability, and bounded recoverability' rests on unshown quantitative results, error bars, or derivation details from the 12-scenario design matrix, ATM-AdmissionBench, or recovery-routing benchmark. This absence prevents assessment of whether the observed single-domain results actually substantiate the recoverability guarantee.
minor comments (1)
- [Abstract] The abstract introduces several new entities (CID broker, semantic atoms, virtual atoms) without a brief forward reference to their definitions or invariants in the main text.
Simulated Author's Rebuttal
We thank the referee for the constructive review and the major revision recommendation. We address each comment below. Both points correctly identify missing details in the current manuscript, and we will revise to supply them.
read point-by-point responses
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Referee: [Abstract] Abstract (paragraph on virtual atoms): the claim that virtual atoms deliver 'conservative comparison and routing' when persistent atom-map coverage is incomplete is load-bearing for the CID broker's admission subsystem and the overall governance chain, yet the manuscript provides no algorithmic specification of atom construction, comparison logic, or decision rules. Without this, it is impossible to verify absence of over-admission (false negatives on conflicts) or under-admission that would break the stated bounded recoverability.
Authors: The referee correctly notes the absence of algorithmic specification for virtual atom construction, comparison logic, and decision rules. The current manuscript does not contain these details. In revision we will add a dedicated subsection with pseudocode, formal rules, and decision procedures to enable verification of conservative properties and bounded recoverability. revision: yes
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Referee: [Abstract] Abstract (evaluation paragraph): the central claim that the listed evidence 'supports feasibility, auditability, and bounded recoverability' rests on unshown quantitative results, error bars, or derivation details from the 12-scenario design matrix, ATM-AdmissionBench, or recovery-routing benchmark. This absence prevents assessment of whether the observed single-domain results actually substantiate the recoverability guarantee.
Authors: The referee is correct that the abstract and evaluation summary lack the quantitative results, error bars, and derivation details. The manuscript presents the evaluation approach but does not include these specifics in the provided sections. We will revise the abstract and main text to incorporate key quantitative findings, tables, and derivations from the design matrix and benchmarks. revision: yes
Circularity Check
No significant circularity in specification-grounded framework
full rationale
The paper presents ATM as a specification-grounded governance substrate that binds task intent, repository scope, write admission, validation, and evidence obligations into one chain, with CID broker and virtual atoms as design elements for conservative routing when atom-map coverage is incomplete. No equations, fitted parameters, predictions, or derivation steps appear in the abstract or described structure. Claims rest on the construction itself plus listed evaluation evidence (design matrix, benchmarks, adopter study) rather than reducing to self-inputs by construction. No self-citation load-bearing uniqueness theorems or ansatz smuggling are referenced. This is a systems design specification, not a predictive derivation chain, so the central claims remain independent of the input patterns.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption A single governance domain exists in which all agents operate and a neutral steward can apply writes.
invented entities (3)
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CID broker
no independent evidence
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semantic atoms
no independent evidence
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virtual atoms
no independent evidence
Reference graph
Works this paper leans on
-
[1]
Pugachev, Sergey. 2025. ”CodeCRDT: Observation-Driven Coordination for Multi-Agent LLM Code Generation. ” arXiv:2510.18893 [cs.DC]. https://doi.org/10.48550/arXiv.2510.18893
-
[2]
Acharya, Vivek. 2026. ”Semantic Consensus: Process-Aware Conflict Detection and Resolution for Enterprise Multi-Agent LLM Systems. ” arXiv:2604.16339 [cs.AI].https://doi.org/10.48550/arXiv.2604.16339
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2604.16339 2026
-
[3]
Liu, Mengyang, Taozhi Chen, Zhenhua Xu, Xue Jiang, and Yihong Dong. 2026. ”Multi-agent Collaboration with State Management. ” arXiv:2605.20563 [cs.MA]. https://doi.org/10.48550/arXiv.2605.20563. 38
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2605.20563 2026
-
[4]
Qian, Kaiyang, Xinmin Fang, and Zhengxiong Li. 2026. ”MPAC: A Multi-Principal Agent Coordination Protocol for Interoperable Multi-Agent Collaboration. ” arXiv:2604.09744 [cs.MA].https://doi.org/10.48550/arXiv.2604.09744
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2604.09744 2026
-
[5]
Zhou, Weixing, Zhiyou Wang, Zeshun Peng, Hetian Chen, Yanfeng Zhang, and Ge Yu. 2026. ”ATCC: Adaptive Concurrency Control for Unforeseen Agentic Transactions. ” arXiv:2603.13906 [cs.DB]. https://doi.org/10.48550/arXiv.2603.13906
-
[6]
Agrawal, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Kannan Ramchandran, Dan Klein, Joseph E
Pan, Melissa Z., 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?...
2025
-
[7]
Sartori, Camilo Chacon. 2026. ”The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents. ” arXiv:2603.24284 [cs.SE]. https://doi.org/10.48550/arXiv.2603.24284
- [8]
-
[9]
Shapiro, Marc, Nuno Preguica, Carlos Baquero, and Marek Zawirski. 2011. ”Conflict-Free Replicated Data Types. ” In *Stabilization, Safety, and Security of Distributed Systems: 13th International Symposium, SSS 2011*, Lecture Notes in Computer Science 6976, 386-400. Berlin: Springer. https://doi.org/10.1007/978-3-642-24550-3_29
-
[10]
Kung, H. T., and John T. Robinson. 1981. ”On Optimistic Methods for Concurrency Control. ” *ACM Transactions on Database Systems* 6 (2): 213-226. https://doi.org/10.1145/319566.319567
-
[11]
Lyu, Hongtao, Dingyan Zhang, Mingyu Wu, Xingda Wei, and Haibo Chen. 2026. ”CoAgent: Concurrency Control for Multi-Agent Systems. ” arXiv:2606.15376 [cs.DC].https://doi.org/10.48550/arXiv.2606.15376
-
[12]
Geng, Jiayi, and Graham Neubig. 2026. ”Effective Strategies for Asynchronous Software Engineering Agents. ” arXiv:2603.21489 [cs.CL]. https://doi.org/10.48550/arXiv.2603.21489
-
[13]
Zhang, Qingyu, Junzhe Li, Jiayi Lin, Changhua Luo, and Chenxiong Qian. 2026. ”Rover: Context-aware Conflict Resolution with LLM. ” arXiv:2605.17279 [cs.SE].https://doi.org/10.48550/arXiv.2605.17279
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2605.17279 2026
-
[14]
Ogenrwot, Daniel, and John Businge. 2026. ”AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub. ” arXiv:2604.03551 [cs.SE]. https://doi.org/10.48550/arXiv.2604.03551
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2604.03551 2026
-
[15]
Wang, Yifei, Ruiyin Li, Peng Liang, Qiong Feng, Zengyang Li, Mojtaba Shahin, and Arif Ali Khan. 2026. ”CodeTeam: An LLM- Powered Multi-Agent Framework for Repository-Level Code Generation. ” arXiv:2606.22082 [cs.SE]. https://doi.org/10.485 50/arXiv.2606.22082
work page internal anchor Pith review Pith/arXiv arXiv 2026
-
[16]
Khan, Sajjad. 2026. ”S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination. ” arXiv:2605.17076 [cs.LG]. https://doi.org/10.48550/arXiv.2605.17076
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2605.17076 2026
-
[17]
Huang, Beichen, Ran Cheng, and Kay Chen Tan. 2025. ”EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collabo- ration. ” arXiv:2506.02049 [cs.SE].https://doi.org/10.48550/arXiv.2506.02049
-
[18]
Li, Yang, Siqi Ping, Xiyu Chen, Xiaojian Qi, Zigan Wang, Ye Luo, and Xiaowei Zhang. 2025. ”AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems. ” arXiv:2511.00628 [cs.SE]. https://doi.org/10.48550/arXiv .2511.00628
work page internal anchor Pith review doi:10.48550/arxiv 2025
-
[20]
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Wu, Qingyun, 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. 2023. ”AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation. ” arXiv:2308.08155 [cs.AI].https://doi.org/10.48550/arXiv.2308.08155
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2308.08155 2023
-
[21]
Adya, Atul. 1999. ”Weak Consistency: A Generalized Theory and Optimistic Implementations for Distributed Transactions. ” PhD thesis, Massachusetts Institute of Technology. https://hdl.handle.net/1721.1/149899
1999
-
[22]
Freedman, Michael Kaminsky, and David G
Lloyd, Wyatt, Michael J. Freedman, Michael Kaminsky, and David G. Andersen. 2011. ”Don’t Settle for Eventual: Scalable Causal Consistency for Wide-Area Storage with COPS. ” In *Proceedings of the 23rd ACM Symposium on Operating Systems Principles*, 401-416. https://doi.org/10.1145/2043556.2043593
-
[23]
Liu, Tianyang, Canwen Xu, and Julian McAuley. 2024. ”RepoBench: Benchmarking Repository-Level Code Auto-Completion Sys- tems. ” In *Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)*. https://doi.org/10 .48550/arXiv.2306.03091
work page internal anchor Pith review Pith/arXiv arXiv 2024
-
[24]
Ding, Yangruibo, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, and Bing Xiang. 2023. ”CrossCodeEval: A Diverse and Multilingual Benchmark for Cross- File Code Completion. ” In *Advances in Neural Information Processing Systems 36*. arXiv:2310.11248. https://doi.o...
-
[25]
Li, Wei, Xin Zhang, Zhongxin Guo, Shaoguang Mao, Wen Luo, Guangyue Peng, Yangyu Huang, Houfeng Wang, and Scarlett Li
-
[26]
”FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation. ” In *Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics*, 17160–17176. https://doi.org/10.48550/a rXiv.2503.06680
-
[27]
Zan, Daoguang, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang 39 Yang, Yongji Wang, Qianxiang Wang, and Lizhen Cui. 2024. ”CodeS: Natural Language to Code Repository via Multi-Layer Sketch. ” arXiv:2403.16443 [cs.LG]. https://doi.org/10.48550/arXiv.2403.16443
-
[28]
Ding, Jingzhe, Shengda Long, Changxin Pu, Huan Zhou, Hongwan Gao, Xiang Gao, Chao He, Yue Hou, Fei Hu, Zhaojian Li, Weiran Shi, Zaiyuan Wang, Daoguang Zan, Chenchen Zhang, Xiaoxu Zhang, Qizhi Chen, Xianfu Cheng, Bo Deng, Qingshui Gu, Kai Hua, Juntao Lin, Pai Liu, Mingchen Li, Xuanguang Pan, Zifan Peng, Yujia Qin, Yong Shan, Zhewen Tan, Weihao Xie, Zihan W...
-
[29]
Sun, Chengzheng, Xiaohua Jia, Yanchun Zhang, Yun Yang, and David Chen. 1998. ”Achieving Convergence, Causality Preservation, and Intention Preservation in Real-Time Cooperative Editing Systems. ” *ACM Transactions on Computer-Human Interaction* 5 (1): 63-108. https://doi.org/10.1145/274444.274447
-
[30]
Chacon, Scott, and Ben Straub. 2014. *Pro Git*, 2nd ed. Apress / Open Source. https://git-scm.com/book
2014
-
[31]
Bernstein, Philip A., Vassos Hadzilacos, and Nathan Goodman. 1987. *Concurrency Control and Recovery in Database Systems*. Reading, MA: Addison-Wesley. https://www.microsoft.com/en-us/research/people/philbe/book/
1987
-
[32]
Hou, Xinyi, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, and Haoyu Wang. 2024. ”Large Language Models for Software Engineering: A Systematic Literature Review. ” *ACM Transactions on Software Engineering and Methodology* 33 (8): 1-79. https://doi.org/10.1145/3695988
-
[33]
Chiu, Claire Cardie, Matthias Gallé, and Alexander M
Zhao, Wenting, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, and Alexander M. Rush. 2025. ”Commit0: Library Generation from Scratch. ” In *Proceedings of the 13th International Conference on Learning Representations (ICLR)*. arXiv:2412.01769 [cs.SE]. https://doi.org/10.48550/arXiv.2412.01769
-
[34]
Zhou, Qixing, Jiacheng Zhang, Haiyang Wang, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan, Dandan Tu, and Zhaoxiang Zhang. 2026. ”FeatureBench: Benchmarking Agentic Coding for Complex Feature Development. ” arXiv:2602.10975 [cs.SE]. https://doi.org/10.48550/arXiv.2602.10975
-
[35]
Ni, Ziyi, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Yuntao Du, Bill Sun, Hongzhang Liu, Sen Hu, Ronghao Chen, Bo Li, Xin Li, Chen Hu, Binxing Jiao, Daxin Jiang, and Pin Lyu. 2025. ”GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. ” arXiv:2508.18993 [cs.SE]. https://doi.org/1...
-
[36]
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Yang, John, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press. 2024. ”SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. ” In *Advances in Neural Information Processing Systems 37*. arXiv:2405.15793. https://doi.org/10.48550/arXiv.2405.15793
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2405.15793 2024
-
[37]
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
Wang, Haoyu, Christopher M. Poskitt, and Jun Sun. 2025. ”AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents. ” arXiv:2503.18666 [cs.AI].https://doi.org/10.48550/arXiv.2503.18666
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2503.18666 2025
-
[38]
Zhao, Wei, Zhe Li, Peixin Zhang, and Jun Sun. 2026. ”ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection. ” arXiv:2604.11790 [cs.CR]. https://doi.org/10.48550/arXiv.2604.11790
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2604.11790 2026
-
[39]
Winston, Cailin, Claris Winston, and René Just. 2026. ”Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents. ” arXiv:2603.20449 [cs.SE].https://doi.org/10.48550/arXiv.2603.20449
-
[40]
Sousa, Marcelo, Isil Dillig, and Shuvendu K. Lahiri. 2018. ”Verifying Semantic Conflict-Freedom in Three-Way Program Merges. ” arXiv:1802.06551 [cs.PL]. https://doi.org/10.48550/arXiv.1802.06551
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1802.06551 2018
-
[41]
Cavalcanti, Guilherme, Paulo Borba, Leonardo dos Anjos, and Jonatas Clementino. 2024. ”Semistructured Merge with Language- Specific Syntactic Separators. ” arXiv:2407.18888 [cs.SE]. https://doi.org/10.48550/arXiv.2407.18888
-
[42]
Mohammadi, Bardia, Nearchos Potamitis, Lars Klein, Akhil Arora, and Laurent Bindschaedler. 2026. ”Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows. ” arXiv:2602.14849 [cs.LG].https://doi.org/10.48550/arXiv.2602.14849
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2602.14849 2026
-
[43]
Chen, Zheng, Hanqing Liu, Duling Xu, Dong Dong, Jialin Li, Bangzheng Pu, and Jidong Zhai. 2026. ”Cordon: Semantic Transactions for Tool-Using LLM Agents. ” arXiv:2606.17573 [cs.OS].https://doi.org/10.48550/arXiv.2606.17573
work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2606.17573 2026
-
[45]
Mao, Zhenyu, Jacky Keung, Fengji Zhang, Shuo Liu, Yifei Wang, and Jialong Li. 2025. ”Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach. ” arXiv:2510.12120 [cs.SE].https://doi.org/10.48550/arXiv.2510.12120
-
[46]
Hou, Bo, Xin Tan, Kai Zheng, Fang Liu, Yinghao Zhu, and Li Zhang. 2025. ”LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning. ” arXiv:2507.16395 [cs.AI]. https://doi.org/10.48550/arXiv.2 507.16395. 40
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