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      "statement": "# SPLADE: sparsity-regularized lexical expansion and distilled max-pooling variants\n\nLearned vocabulary-space query/document expansion with log-saturated weights and explicit sparsity regularization; v2 changed aggregation to max pooling, evaluated document-only expansion and added teacher-distilled hard-negative training.\n\n## Scientific scope\n\nFLOPS regularization and sparse expansion build on prior work, not invented wholesale here. Efficiency proxies, index storage and actual latency are distinct; offline preprocessing remains. Original preprints contain placeholder conference/DOI fields, not valid publication receipts. BEIR subset evaluations are not full benchmark-wide dominance.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nThibault Formal; Benjamin Piwowarski; Stéphane Clinchant; Carlos Lassance\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking](https://arxiv.org/abs/2107.05720v1)\n- [SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval](https://arxiv.org/abs/2109.10086v1)\n",
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