{"@context":"https://schema.org","@type":"Dataset","@id":"https://lunartuliplab.com/research/incremental-network-test-001#dataset","name":"Lunartulip AlphaMap Research Note #001: Do Semantic Neighbors Predict Stock Returns? A Dated Graph-Factor Study Across the AI Stack","alternateName":"Lunartulip AlphaMap Research Note #001: 语义邻居能否预测股票收益？","description":"Across 91 candidate companies, 266 dated SEC documents and 85 mature weekly tests, the raw IC of 0.0779 falls to 0.0072744 under full controls. Predictive network alpha is not established.","abstract":"Across 91 candidate companies, 266 dated SEC documents and 85 mature weekly tests, the raw IC of 0.0779 falls to 0.0072744 under full controls. Predictive network alpha is not established.","researchQuestion":{"en":"After controlling for market, layer and disclosure differences, do technical semantic links between companies improve the ranking of future returns?","zh-CN":"公司之间的技术语义关联，在扣除市场、层级和披露差异后，能否改善未来收益排序？"},"identifier":["RO-ALPHAMAP-002",{"@type":"PropertyValue","propertyID":"DOI","value":"10.5281/zenodo.22862923","url":"https://doi.org/10.5281/zenodo.22862923"}],"version":"1.0.0","datePublished":"2026-09-21","dateModified":"2026-09-21","temporalCoverage":"..2026-09-21","creator":{"@type":"Organization","@id":"https://lunartuliplab.com/#organization","name":"Lunartulip Lab","url":"https://lunartuliplab.com/"},"publisher":{"@type":"Organization","@id":"https://lunartuliplab.com/#organization","name":"Lunartulip Lab","url":"https://lunartuliplab.com/"},"license":{"@type":"CreativeWork","name":"Lunartulip Public Research Citation and Use Terms","url":"https://lunartuliplab.com/research-usage"},"usageInfo":"https://lunartuliplab.com/research-usage","isAccessibleForFree":true,"inLanguage":["en","zh-CN"],"keywords":["alphamap-study","point-in-time research","public equities"],"url":"https://lunartuliplab.com/research/incremental-network-test-001","mainEntityOfPage":"https://lunartuliplab.com/research/incremental-network-test-001","subjectOf":[{"@type":"ScholarlyArticle","name":"Lunartulip AlphaMap Research Note #001: Do Semantic Neighbors Predict Stock Returns? A Dated Graph-Factor Study Across the AI Stack","inLanguage":"en","url":"https://lunartuliplab.com/en/alphamap/incremental-network-test-001"},{"@type":"ScholarlyArticle","name":"Lunartulip AlphaMap Research Note #001: 语义邻居能否预测股票收益？","inLanguage":"zh-CN","url":"https://lunartuliplab.com/alphamap/incremental-network-test-001"}],"isPartOf":{"@type":"DataCatalog","@id":"https://lunartuliplab.com/research.json#catalog","name":"Lunartulip Canonical Research Objects"},"distribution":{"@type":"DataDownload","name":"RO-ALPHAMAP-002 public citation metadata","description":"Public discovery and citation metadata. Full structured research data is available only under a separate commercial agreement.","encodingFormat":"application/json","contentUrl":"https://lunartuliplab.com/research/incremental-network-test-001","license":{"@type":"CreativeWork","name":"Lunartulip Public Research Citation and Use Terms","url":"https://lunartuliplab.com/research-usage"}},"citation":["https://lunartuliplab.com/en/alphamap/incremental-network-test-001","https://lunartuliplab.com/alphamap/incremental-network-test-001","https://doi.org/10.5281/zenodo.22862923"],"publicSummary":{"id":"RO-ALPHAMAP-002","slug":"incremental-network-test-001","kind":"alphamap-study","tickers":[],"publishedAt":"2026-09-21","asOf":"2026-09-21","modifiedAt":"2026-09-21","version":"1.0.0","sourceLabel":"Lunartulip AlphaMap Research Note #001 · DOI 10.5281/zenodo.22862923","doi":"10.5281/zenodo.22862923","canonical":{"en":"https://lunartuliplab.com/en/alphamap/incremental-network-test-001","zh-CN":"https://lunartuliplab.com/alphamap/incremental-network-test-001"},"question":{"en":"After controlling for market, layer and disclosure differences, do technical semantic links between companies improve the ranking of future returns?","zh-CN":"公司之间的技术语义关联，在扣除市场、层级和披露差异后，能否改善未来收益排序？"},"abstract":{"en":"Across 91 candidate companies, 266 dated SEC documents and 85 mature weekly tests, the raw IC of 0.0779 falls to 0.0072744 under full controls. Predictive network alpha is not established.","zh-CN":"91 家候选公司、266 份带日期的 SEC 文件和 85 个成熟周度检验给出同一结论：raw IC 为 0.0779，完整控制后降至 0.0072744，预测性 network alpha 尚未建立。"}},"usageNotice":"Public metadata supports discovery, search retrieval and attributed citation. It excludes the licensed Research API and alternative-dataset fields."}