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 →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125616089
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- P.A. Ageeva (openalex, provider refresh)
- P.A. Ageeva (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| Russia's AI-driven tax tools have reduced routine audits while raising the yield and effectiveness of enforcement, sharpening the state's capacity to detect VAT fraud; but the shift concentrates power, erodes taxpayer trust and increases dependence on foreign technology, posing new risks to fiscal legitimacy.openalex | P.A. Ageeva provider id |
2026-02-11 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 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.