Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
2Distinct papers
23Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2256059499
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Beijing (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 2 papers
- Decision Quality: 1 paper
- Automation Exposure: 1 paper
- Adoption Rate: 1 paper
- Error Rate: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Regulatory Compliance: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Engineering archives can give physical-world AI a running start: extracting 'constitutive priors' from design documents lets systems operate from day one and produce the data needed to refine them. The authors formalize a four-world ontology, a legitimacy test for such priors, and a necessary four-layer architecture, and propose five public, falsifiable predictions to validate the framework.arxiv | Beijing provider id |
2026-08-15 | 0 |
| AI adoption signals from disclosures and patents sharpen corporate distress forecasts for Chinese listed firms, boosting discrimination and cutting missed defaults most when used with tree-based ensembles; models trained on recent, pruned histories outperform full-history or single-year approaches.arxiv | Beijing provider id |
2025-12-02 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.