{
  "request": {
    "method": "GET",
    "url": "https://dr.ntu.edu.sg/server/api/discover/search/objects?size=1&dsoType=item"
  },
  "response": {
    "type": "discover",
    "uniqueType": "discover.discover",
    "_embedded": {
      "searchResult": {
        "_embedded": {
          "objects": [
            {
              "type": "discover",
              "_links": {
                "indexableObject": {
                  "href": "https://dr.ntu.edu.sg/server/api/core/items/7c0a4f1c-c613-4fc7-950a-17effb68c318"
                }
              },
              "_embedded": {
                "indexableObject": {
                  "uuid": "7c0a4f1c-c613-4fc7-950a-17effb68c318",
                  "name": "Jailbreaking large language models via prompt engineering III",
                  "handle": "10356/213929",
                  "metadata": {
                    "dc.contributor.author": [{ "value": "Mendoza, Jose Matthew Abram" }],
                    "dc.contributor.school": [{ "value": "College of Computing and Data Science" }],
                    "dc.date.issued": [{ "value": "2026" }],
                    "dc.identifier.uri": [{ "value": "https://hdl.handle.net/10356/213929" }],
                    "dc.publisher": [{ "value": "Nanyang Technological University" }],
                    "dc.subject": [{ "value": "Computer and Information Science" }],
                    "dc.title": [{ "value": "Jailbreaking large language models via prompt engineering III" }],
                    "dc.type": [{ "value": "Final Year Project (FYP)" }],
                    "dspace.entity.type": [{ "value": "Publication" }]
                  },
                  "inArchive": true,
                  "discoverable": true,
                  "withdrawn": false,
                  "type": "item",
                  "uniqueType": "core.item"
                }
              }
            }
          ]
        },
        "page": {
          "number": 0,
          "size": 1,
          "totalPages": 153251,
          "totalElements": 153251
        }
      }
    }
  }
}