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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2152065854
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sachin Shetty (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 2 papers
- Automation Exposure: 2 papers
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Task Allocation: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Firm Productivity: 1 paper
- Firm Revenue: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| The web's human-first assumption is broken by AI intermediaries; to preserve truth and fair economics the authors propose making agents first-class: agent identity headers and rate limits, a tokenized, intent-based subscription model that charges agents like their human principals, and ATML plus cryptographic provenance to stop self-reinforcing AI content loops.arxiv | Sachin Shetty provider id |
2026-06-17 | 0 |
| A modular agentic AI system, Flowr, cut manual coordination and tightened demand-supply alignment in a supermarket-chain pilot by automating decision-intensive supply-chain tasks while keeping managers in the loop; findings are promising but rest on a single-firm deployment without rigorous causal controls.arxiv | Sachin Shetty provider id |
2026-04-07 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.