{
  "id": 16921,
  "url": "https://arxiv.org/abs/2608.05060v1",
  "title": "RepairFormer: Automated Repair of Structured Inputs Using Transformers",
  "summary": "Structured input files such as JSON, DOT, OBJ, INI, S-expression, and TinyC are widely used in software systems, but small corruptions can cause parsers to reject otherwise useful data. Repairing such inputs is important because malformed configuration, program, and data files can interrupt testing, analysis, deployment, and downstream automation even when most of the original content remains intact. Existing repair techniques can produce structurally valid inputs, but they often rely on deletio",
  "authors": "Ovi Paul, Tom J King, Ali Shokri",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-05T17:08:31.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16921",
  "original_url": "https://arxiv.org/abs/2608.05060v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}