{ "schema_version": 1, "title": "Reproduction: CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval", "emoji": "🎯", "space_id": "phantomcoder1996/repro-crossq-task-aligned-cross-token-conditional-quantization-for-late-interaction-retrieval", "paper": null, "tags": [ "icml2026-repro", "paper-jxHF6z0S1L" ], "updated_at": "2026-07-18T18:35:04+00:00", "root": { "slug": "index", "title": "Reproduction: CrossQ: Task-Aligned Cross-Token Conditional Quantization for Late Interaction Retrieval", "file": "pages/index.md", "children": [ { "slug": "executive-summary", "title": "Executive summary", "file": "pages/executive-summary/page.md", "children": [] }, { "slug": "claim-1-late-interaction-retrievers-like-colbert-achieve-high-quality-but-suffer-from-large-multi-vector-indices", "title": "Claim 1: Late-interaction retrievers like ColBERT achieve high quality but suffer from large multi-vector indices.", "file": "pages/claim-1-late-interaction-retrievers-like-colbert-achieve-high-quality-but-suffer-from-large-multi-vector-indices/page.md", "children": [] }, { "slug": "claim-2-crossq-adaptively-allocates-precision-by-conditioning-token-codes-on-lightweight-document-context-computed-at-indexing-time", "title": "Claim 2: CrossQ adaptively allocates precision by conditioning token codes on lightweight document context computed at indexing time.", "file": "pages/claim-2-crossq-adaptively-allocates-precision-by-conditioning-token-codes-on-lightweight-document-context-computed-at-indexing-time/page.md", "children": [] }, { "slug": "claim-3-achieves-61x-compression-while-narrowing-gap-with-full-precision-colbert-to-just-2-3-mrr-10-loss", "title": "Claim 3: Achieves 61x compression while narrowing gap with full-precision ColBERT to just 2.3% MRR@10 loss.", "file": "pages/claim-3-achieves-61x-compression-while-narrowing-gap-with-full-precision-colbert-to-just-2-3-mrr-10-loss/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 2136, "revision": "1784399704185825600" }