arXiv (All)
open access
Idea Traces: Threading Accretive Content across Scientific Papers
We introduce idea traces, a novel thread-based representation of accretive content across scientific papers. Rather than capturing fixed themes from papers, idea traces surface similarities and deltas of faceted content that enable inspection of how ideas relate and evolve across the citation networ
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- NotebookLM as a Source-Grounded AI Research Assistant: A Narrative Review of Cognitive Load Implications and Research Originality Concerns#691792
- Idealization and Structural Explanation in Physics#744957
- ANNs and Unifying Explanations: Reply to Erasmus, Brunet, and Fisher#104255
- Understanding scientific study via process modeling#749749
- Gabriel Vacariu (second April 2019 to 2014) The UNBELIEVABLE similarities between the ideas of some people (2011-2016) and my ideas (2002-2008) in physics (quantum mechanics, cosmology), cognitive neuroscience, philosophy of mind, and philosophy (this manuscript would require a REVOLUTION in international academy environment!)#774453
Record · ID 1489791
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive