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
11Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2056515858
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- T. Pedersen (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 2 papers
- Organizational Efficiency: 2 papers
- Output Quality: 1 paper
- Ai Safety And Ethics: 1 paper
- Market Structure: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| AI learns valuable but unverifiable 'implicit' knowledge, creating a persistent reliability gap; instituting structured 'Knowledge Objects' for human validation would make verification economically feasible and let trustworthiness accumulate over time.arxiv | T. Pedersen provider id |
2026-05-03 | 0 |
| Time-series foundation models trained on low-frequency data stumble on millisecond-scale 5G network dynamics, even after fine-tuning. Firms that collect and pretrain on high-resolution telemetry will have a practical edge in latency-sensitive services, potentially concentrating rents among incumbents.arxiv | T. Pedersen provider id |
2026-03-17 | 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.