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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2460925
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Kathryn Zyskowski (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Task Completion Time: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| Perplexity’s autonomous agent completes matched knowledge tasks in 36 minutes versus 269 with conversational search, cutting estimated time by ~87% and cost by ~94% while reducing per-query dissatisfaction by 55%. Autonomy not only speeds work and raises quality but also shifts user effort toward verification and higher-order tasks and unlocks cross-occupational, composite activities absent in search usage.arxiv | Kathryn Zyskowski provider id |
2026-06-05 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 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.