{
  "annotation_id": "45208672-3f48-451c-ae67-aff20ee8aced",
  "date_created": "2026-02-17T05:53:07.827000Z",
  "date_modified": "2026-02-17T05:53:07.827000Z",
  "file_hash": "d10432e28d9dba2331e7432c84e6c3a6cc3edc7549cc1cf262c775a7abdcca4c",
  "private": false,
  "record": {
    "abstract": "In this work, we present an adaptive reliability-driven conditional innovation (AR-CID) decoding algorithm for low-density parity check (LDPC) codes. The proposed AR-CID decoding algorithm consists of one stage of message quality checking and another stage of message passing refinement, which are incorporated into a residual belief propagation decoding strategy. An analysis of the AR-CID decoding algorithm is carried out along with a study of its computational complexity and latency characteristics. Simulation results for several examples of LDPC codes, including short and medium-length codes over an extended range of channel conditions, indicate that the proposed AR-CID decoding algorithm outperforms competing decoding techniques and has an extremely fast convergence, making it particularly suitable for low-delay applications.",
    "arxiv_id": "2601.06732",
    "authors": [
      "Hassan Touati",
      "Rodrigo C. de Lamare"
    ],
    "categories": [
      "cs.IT",
      "math.IT"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Study of Adaptive Reliability-Driven Conditional Innovation Decoding for LDPC Codes",
    "url": "https://arxiv.org/abs/2601.06732",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b3e1f394-f91d-4430-9466-887b84e316c1",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}