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Problema
No relatório pessoal, events_attended pode exceder total_events, produzindo um rácio 100%.
- events_attended conta todos os eventos onde o utilizador está em attendees — sem filtro de visibilidade ...
JSON data block
{
anthology_id : 2025.naacl-long.469 ,
abstract : Large language models (LLMs) are susceptible to memorizing training data, raising concerns about the potential extraction of sensitive ...
approved
correction
metadata
Spec : Redmi M2004J19G
I tried to launch the game but...the launcher tell me to install Minecraft pocket edition from Google Play Store but...I
M FROM VIETNAM AND MINECRAFT POCKET EDITION IS NOT AVAILABLE ...
Problem
Hermes currently has no single, user-configurable root folder for everything agents create (reports, generated files,
research outputs, code, media, etc.). Outputs scatter across:
- ~/.hermes/profiles/ ...
area/config
P3
type/feature
Connection to Recursive Self-Improvement
Synthetic data generation closes the RSI training data loop. As an RSI agent conducts research and accumulates results,
those results can be used to generate synthetic ...
data-flywheel
high-impact
recursive-self-improvement
(venv) PS D:\Kral npm run dev
dev node scripts/dev.mjs
[dev] Starting FastAPI at http://127.0.0.1:8000 [dev] DATABASE_URL is not set; using the default development database.
[api] INFO: Will watch for ...
背景
当前模型三(VMD-LSTM-CatBoost)使用 CatBoost 作为融合层,将 5 个 LSTM 分量的预测结果加权融合。这引出一个问题:CatBoost 融合层到底贡献了多少?如果不融合、直接将 LSTM
各分量预测结果求和,效果如何?
新增模型:VMD-LSTM(直接求和)
模型结构:
需求量序列 → VMD 分解(K=5) → IMF1(残差) → 多特征LSTM(残差+4因子) ...
enhancement
背景
当前项目对比了三种模型:CatBoost、VMD-CatBoost、VMD-LSTM-CatBoost。但缺少一个重要的基线——核方法。SVR(支持向量回归)作为经典的小样本学习方法,在 24 个训练样本的场景下理论上应具有竞争力。
新增模型:VMD-SVR
模型结构:
需求量序列 → VMD 分解(K=5) → 5个IMF分量
...
enhancement
Symptom
`/work-plan hygiene --yes` launched from the VS Code extension hung for 9h50m with ~0.4s CPU. It was not slow or
sweeping repos — it was frozen on an unanswered prompt.
Kernel stack of the stuck ...
bug
Connection to Recursive Self-Improvement
RSI systems need to store, index, and retrieve their own prior work. As iterations compound, the research artifact
catalog grows — previous experiment results, ...
high-impact
knowledge-compounding
recursive-self-improvement

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