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and Moor, M

Canonical reference. 80% of citing Pith papers cite this work as background.

13 Pith papers citing it
Background 80% of classified citations

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background 4 dataset 1

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2026 10 2025 3

representative citing papers

Knows: Agent-Native Structured Research Representations

cs.AI · 2026-04-19 · conditional · novelty 7.0

Knows uses a YAML sidecar specification to provide structured, agent-consumable representations of research papers, yielding large accuracy gains for small LLMs on comprehension tasks and rapid community adoption via a public hub.

How Far Are We From True Auto-Research?

cs.AI · 2026-05-18 · unverdicted · novelty 6.0

ResearchArena shows that agent-generated papers fail top-tier acceptance standards primarily due to fabricated results, underpowered experiments, and plan-execution mismatches that vary sharply by agent.

pAI/MSc: ML Theory Research with Humans on the Loop

cs.AI · 2026-04-22 · unverdicted · novelty 5.0

pAI/MSc is a customizable multi-agent system that reduces human steering by orders of magnitude when turning a hypothesis into a literature-grounded, mathematically established, experimentally supported manuscript draft in ML theory.

AI for Auto-Research: Roadmap & User Guide

cs.AI · 2026-05-18 · unverdicted · novelty 4.0

The paper delivers a stage-by-stage roadmap for AI in research, showing reliable assistance in retrieval and tool tasks but fragility in novelty and judgment, advocating human-governed collaboration.

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Showing 13 of 13 citing papers.