Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ProsegDL: Binary Protocol Format Extraction by Deep Learning-based Field Boundary Identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/prosegdl-binary-protocol-format-extraction-by-deep-learning-based-field-boundary-identification
MLA“ProsegDL: Binary Protocol Format Extraction by Deep Learning-based Field Boundary Identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prosegdl-binary-protocol-format-extraction-by-deep-learning-based-field-boundary-identification.
BibTeX@misc{4ortxyz_prosegdl-binary-protocol-format-extraction-by-deep-learning-based-field-boundary-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ProsegDL: Binary Protocol Format Extraction by Deep Learning-based Field Boundary Identification}}, year = {2026}, url = {https://4ort.xyz/entity/prosegdl-binary-protocol-format-extraction-by-deep-learning-based-field-boundary-identification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ProsegDL: Binary Protocol Format Extraction by Deep Learning-based Field Boundary Identification — https://4ort.xyz/entity/prosegdl-binary-protocol-format-extraction-by-deep-learning-based-field-boundary-identification (retrieved 2026-05-24)