{
  "annotation_id": "2beb65dc-7454-47c8-9738-1c7957036b40",
  "date_created": "2026-02-17T05:53:24.342000Z",
  "date_modified": "2026-02-17T05:53:24.342000Z",
  "file_hash": "d37eb6b1d9d4ae11a5a6b5f40417161261802119a9528a981a9925e38530a54f",
  "private": false,
  "record": {
    "abstract": "Assessing journal legitimacy during literature reviews, publication venue selection, and citation verification requires consulting information scattered across multiple incompatible data-sets. This paper introduces Aletheia-Probe, an open-source tool that systematically aggregates curated databases and pattern analysis from multiple authoritative sources to provide transparent, confidence-scored journal assessments. The tool explicitly reports which sources were consulted, what each found, and where evidence conflicts. The tool integrates into research workflows through command-line and programmatic interfaces. It reduces manual assessment overhead while explicitly flagging uncertain cases. We present the tool\u0027s architecture, core design principles, and practical integration approach. Comprehensive empirical validation will be presented in forthcoming work.",
    "arxiv_id": "2601.10431",
    "authors": [
      "Andreas Florath"
    ],
    "categories": [
      "cs.DL"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Aletheia-Probe: A Tool for Automated Journal Assessment",
    "url": "https://arxiv.org/abs/2601.10431",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "57eff138-b575-41d5-82cd-ed22c0e4a14a",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}