{
  "abstract": "Source code, simulation engine, AI encoder/decoder prompts, and anonymized interaction CSV logs for SEMCOM/EDGE, a prototype demonstrating resource-efficient semantic communication over edge networks. Semantic payloads are AI-encoded abstractions of text, voice, and image content; only the encoded payload is transmitted or stored. Includes a physics-based energy simulator for computing-first and radio-energy trade-offs.\n\nVersion 2 update: Added complete platform web application source code archive (semantic_platform_source.zip) alongside the LaTeX manuscript source, analysis scripts, and anonymized session telemetry.",
  "abstract_shown": true,
  "affiliations": [
    "Vellore Institute of Technology University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Madhav Tiwary"
    },
    {
      "affs": [
        0
      ],
      "name": "Lavish Pungliya"
    },
    {
      "affs": [
        0
      ],
      "name": "Ganesh Khekare"
    },
    {
      "affs": [
        0
      ],
      "name": "Vansh Chaudhry"
    },
    {
      "affs": [
        0
      ],
      "name": "Kushaan Koul"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bx8s1snqdmtvk.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23493267",
  "fulltext_url": null,
  "id": "bx8s1snqdmtvk",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23493267",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-20",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/bx8s1snqdmtvk.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T12:21:19Z",
      "native_id": "23493267",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23493267"
    }
  ],
  "subjects": [],
  "title": "Artifact and Datasets for Resource-Efficient Semantic Communication on Edge Networks (SEMCOM/EDGE)",
  "title_text": "Artifact and Datasets for Resource-Efficient Semantic Communication on Edge Networks (SEMCOM/EDGE)",
  "type": "preprint",
  "updated_at": "2026-11-03T12:21:19Z",
  "url": "https://research.draconitic.com/paper/bx8s1snqdmtvk",
  "venue": "Zenodo",
  "versions": []
}