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
2Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2295346318
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Raja Iqbal (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Org Design: 2 papers
- Productivity: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Governance And Regulation: 2 papers
- Other: 2 papers
- Adoption Rate: 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 |
|---|---|---|---|
| Agentic AI introduces a new kind of technical debt and a recurring 'stochastic tax' on operations; firms should track both with governance dashboards to avoid mounting liability and surprise operating costs.arxiv | Raja Iqbal provider id |
2026-05-27 | 1 |
| Agentic AI imposes a persistent operating cost — a 'stochastic tax' — even when design debt is low, while accumulated 'agentic technical debt' amplifies that tax; the paper supplies a formal model and practical metrics managers can use to quantify and estimate these costs from operational data.arxiv | Raja Iqbal provider id |
2026-05-26 | 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 2 cumulative citations. This is a coverage summary, not an author score or h-index.