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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5027197892
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Vishruth Khare (openalex, provider refresh)
- Vishruth Khare (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Other: 1 paper
- Market Structure: 1 paper
- Error Rate: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| Automated misinformation detection flags events that coincide with sharp stock swings and retail demand shocks; a gradient-boosted classifier achieves near-perfect accuracy on the labeled corpus and the flagged events align with measurable financial and operational disruptions, suggesting firms could use such tools to spot information-driven risk earlier.openalex | Vishruth Khare provider id |
2026-01-01 | 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.