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
1/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2902557
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- D. Żatuchin (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 2 papers
Claim outcomes
- Market Structure: 2 papers
- Other: 1 paper
- Decision Quality: 1 paper
- Regulatory Compliance: 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 |
|---|---|---|---|
| Generative search favors local suppliers only when users ask in the local language: English queries on the same connection return global brands while exit IP determines which national market is referenced; the browser UI and API are equally unstable, so single snapshots can be misleading.arxiv | D. Żatuchin provider id |
2026-08-30 | Missing, not zero |
| LLM recommendations do not produce ubiquitous winner-takes-all outcomes: across 3,750 brand-free queries to three models, recommendation concentration was moderate and top-brand agreement across models under 42%, though displacement patterns varied sharply by industry.arxiv | D. Żatuchin provider id |
2026-06-22 | 4 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 2 papers in this view; 1 are missing. The observed paper counts sum to 4 cumulative citations. This is a coverage summary, not an author score or h-index.