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
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2428292313
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Elias Calboreanu (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Org Design: 2 papers
- Productivity: 2 papers
- Adoption: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Output Quality: 2 papers
- Other: 2 papers
- Task Completion Time: 2 papers
- Adoption Rate: 2 papers
- Organizational Efficiency: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| A lone practitioner shows that portable prompt and context skills can raise first-pass acceptance and speed up production when orchestrating multiple domain-specific AI tools, but the evidence comes from a single-case, exploratory study and requires multi-practitioner replication.arxiv | Elias Calboreanu provider id |
2026-05-22 | 0 |
| A structured 'Context Engineering' approach halved average iteration cycles and lifted first-pass acceptance from 32% to 55% in an observational study of 200 AI interactions; the evidence is promising but limited by single-operator, uncontrolled data.arxiv | Elias Calboreanu provider id |
2026-04-05 | 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.