English This technical report studies how object identity, original decision bases, and unfinished effects retain explicit inheritance relationships across changes in computational resolution, clean pause and resume, and history branching in persistent multiagent object simulations. A Python reference prototype specifies operation preconditions, retained information, state updates, and failure conditions. Its mechanisms retrieve original decisions for later action outcomes, distinguish first creation of member identities from refinement of existing members, settle work before pausing and replan after resumption, preserve the interpretation bases of messages in transit and the first due times of background processes, and bound inherited history at fork positions. The joint case reaches an endpoint with three interconnected regions, 24 agents that actually make decisions, six groups, and nine known members. All nine messages in transit at the fork are delivered during subsequent execution of the intervention branch. Accompanying materials provide two original inputs, 4,798 event headers, state-field excerpts at six saved positions, selected fields from 42 events, archived results, and a record-checking program. This record includes complete Chinese and English editions and a shared evidence archive. The results support continuation within the stated conditions. The 28 material checks examine records; complete conditions for rerunning the simulator are not supplied, and external independent replication has not been completed. The report discloses substantial generative AI use and author responsibility. It is archived as a research technical report that has not undergone peer review. 中文 本技术报告研究可保存并继续运行的多主体对象模拟环境,在调整计算粒度、干净暂停恢复和历史分支时,怎样使对象身份、原行动依据和未完成影响保持明确的继承关系。 报告以 Python 参考原型说明操作前提、保留信息、状态更新和失败条件。具体机制包括回查原决定以承接持续动作的后续效果、区分首次建立成员身份与再次展开已有成员、暂停前结算后恢复规划、保留在途消息的解释依据和背景过程的首次到期时间,以及按分叉位置限制历史继承。 联合案例的终点包含三个相互耦合地区、24 个实际决策主体、六个群体及九个已知成员;分叉时九条在途消息在干预分支后续运行中全部送达。配套材料提供两份原始输入、4,798 条事件头、六个保存位置的字段摘录、42 条事件的选定字段、归档结果和记录核对程序。 本记录同时提供中文和英文全文,以及共享的证据包。现有结果支持报告所述有限条件下的运行接续;28 项材料检查用于核对记录,未提供完整模拟器重跑条件,外部独立复现尚未完成。报告披露了生成式 AI 的显著使用与作者责任,作为未经同行评审的研究型技术报告归档。 Licenses / 许可范围 Reports, accompanying documentation, and record materials: CC BY 4.0. Checking program materials/verify_evidence.py: MIT. See materials/LICENSE.md in evidence-v0.7.zip for file scope and notices. 报告、随附说明及记录材料采用 CC BY 4.0;核对程序 materials/verify_evidence.py 采用 MIT。文件范围和声明见证据包中的 materials/LICENSE.md。
Songlin Yang· Zenodo (CERN European Organi...· 0 citations
English This technical report studies how object identity, original decision bases, and unfinished effects retain explicit inheritance relationships across changes in computational resolution, clean pause and resume, and history branching in persistent multiagent object simulations. A Python reference prototype specifies operation preconditions, retained information, state updates, and failure conditions. Its mechanisms retrieve original decisions for later action outcomes, distinguish first creation of member identities from refinement of existing members, settle work before pausing and replan after resumption, preserve the interpretation bases of messages in transit and the first due times of background processes, and bound inherited history at fork positions. The joint case reaches an endpoint with three interconnected regions, 24 agents that actually make decisions, six groups, and nine known members. All nine messages in transit at the fork are delivered during subsequent execution of the intervention branch. Accompanying materials provide two original inputs, 4,798 event headers, state-field excerpts at six saved positions, selected fields from 42 events, archived results, and a record-checking program. This record includes complete Chinese and English editions and a shared evidence archive. The results support continuation within the stated conditions. The 28 material checks examine records; complete conditions for rerunning the simulator are not supplied, and external independent replication has not been completed. The report discloses substantial generative AI use and author responsibility. It is archived as a research technical report that has not undergone peer review. 中文 本技术报告研究可保存并继续运行的多主体对象模拟环境,在调整计算粒度、干净暂停恢复和历史分支时,怎样使对象身份、原行动依据和未完成影响保持明确的继承关系。 报告以 Python 参考原型说明操作前提、保留信息、状态更新和失败条件。具体机制包括回查原决定以承接持续动作的后续效果、区分首次建立成员身份与再次展开已有成员、暂停前结算后恢复规划、保留在途消息的解释依据和背景过程的首次到期时间,以及按分叉位置限制历史继承。 联合案例的终点包含三个相互耦合地区、24 个实际决策主体、六个群体及九个已知成员;分叉时九条在途消息在干预分支后续运行中全部送达。配套材料提供两份原始输入、4,798 条事件头、六个保存位置的字段摘录、42 条事件的选定字段、归档结果和记录核对程序。 本记录同时提供中文和英文全文,以及共享的证据包。现有结果支持报告所述有限条件下的运行接续;28 项材料检查用于核对记录,未提供完整模拟器重跑条件,外部独立复现尚未完成。报告披露了生成式 AI 的显著使用与作者责任,作为未经同行评审的研究型技术报告归档。 Licenses / 许可范围 Reports, accompanying documentation, and record materials: CC BY 4.0. Checking program materials/verify_evidence.py: MIT. See materials/LICENSE.md in evidence-v0.7.zip for file scope and notices. 报告、随附说明及记录材料采用 CC BY 4.0;核对程序 materials/verify_evidence.py 采用 MIT。文件范围和声明见证据包中的 materials/LICENSE.md。
Songlin Yang· Zenodo (CERN European Organi...· 0 citations
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