LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table | Paper Citation Record

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This paper cites Optuna: A next-generation hy- perparameter optimization framework.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Optuna: A next-generation hy- perparameter optimization framework

Reference 1

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This paper cites Optuna: A next-generation hyperparameter optimization framework.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Optuna: A next-generation hyperparameter optimization framework

Reference 2

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This paper cites Diversity maximization in the presence of outliers.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Diversity maximization in the presence of outliers

Reference 3

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This paper cites Quicker adc: Unlocking the hidden potential of product quantization with simd.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Quicker adc: Unlocking the hidden potential of product quantization with simd

Reference 4

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This paper cites Acl2023 tutorial on retrieval-based language models and ap- plications, 2023.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Acl2023 tutorial on retrieval-based language models and ap- plications, 2023

Reference 5

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This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 6

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This paper cites Re- visiting the inverted indices for billion-scale approximate nearest neighbors.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Re- visiting the inverted indices for billion-scale approximate nearest neighbors

Reference 7

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Observation 7f0e3ac3-e806-42f8-825f-402fe3383f76 · outbound

This paper cites Foundations of Vector Retrieval.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Foundations of Vector Retrieval

Reference 8

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Observation a7fe7239-f781-491c-9a80-609b2043fa78 · outbound

This paper cites The use of mmr, diversity-based reranking for reordering documents and pro- ducing summaries.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table The use of mmr, diversity-based reranking for reordering documents and pro- ducing summaries

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:41.742775Z

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This paper cites Learned index with dy- namic ϵ.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Learned index with dy- namic ϵ

Reference 10

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This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 11

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Observation afe7d5fa-255c-45bc-aa5e-22686d8be89f · outbound

This paper cites Tsunami: A learned multi-dimensional index for correlated data and skewed workloads.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Tsunami: A learned multi-dimensional index for correlated data and skewed workloads

Reference 12

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This paper cites Link and code: Fast indexing with graphs and compact re- gression codes.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Link and code: Fast indexing with graphs and compact re- gression codes

Reference 13

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This paper cites The Faiss library.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table The Faiss library

Reference 14

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This paper cites Search result diversi- fication.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Search result diversi- fication

Reference 15

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This paper cites Disc diversity: Result diversification based on dissimilarity and coverage.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Disc diversity: Result diversification based on dissimilarity and coverage

Reference 16

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Observation e4c91106-75f4-405f-9e47-1799dc235d1a · outbound

This paper cites Learned Data Structures.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Learned Data Structures

Reference 17

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This paper cites The pgmindex: a fully dynamic compressed learned index with provable worst-case bounds.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table The pgmindex: a fully dynamic compressed learned index with provable worst-case bounds

Reference 18

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Observation c3ea6766-b1a7-4cfc-a1dc-c9ad530bcd2e · outbound

This paper cites Why are learned indexes so effective? In Proc.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Why are learned indexes so effective? In Proc

Reference 19

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This paper cites Fast approximate nearest neighbor search with the navigating spreading-out graph.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Fast approximate nearest neighbor search with the navigating spreading-out graph

Reference 20

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This paper cites Flexflood: Efficiently up- datable learned multi-dimensional index.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Flexflood: Efficiently up- datable learned multi-dimensional index

Reference 21

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Observation 55dd7bdc-5ace-4217-bda5-ce3ccb130141 · outbound

This paper cites Solving diversity-aware maximum inner product search efficiently and effectively.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Solving diversity-aware maximum inner product search efficiently and effectively

Reference 22

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This paper cites nanobind: tiny and efficient c++/python bind- ings, 2022.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table nanobind: tiny and efficient c++/python bind- ings, 2022

Reference 23

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This paper cites Prod- uct quantization for nearest neighbor search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Prod- uct quantization for nearest neighbor search

Reference 24

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This paper cites Kochenderfer and Tim A.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Kochenderfer and Tim A

Reference 25

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This paper cites Chi, Jeffrey Dean, and Neoklis Polyzotis.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Chi, Jeffrey Dean, and Neoklis Polyzotis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:38.567288Z

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Observation bc9c9471-a465-4818-8ba7-1bbd946443d7 · outbound

This paper cites Stable learned bloom filters for data streams.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Stable learned bloom filters for data streams

Reference 27

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This paper cites Malkov and Dmitry A.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Malkov and Dmitry A

Reference 28

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This paper cites Cvpr2020 tutorial on image retrieval in the wild, 2020.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Cvpr2020 tutorial on image retrieval in the wild, 2020

Reference 29

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This paper cites Arm 4-bit pq: Simd-based acceleration for approximate nearest neighbor search on arm.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Arm 4-bit pq: Simd-based acceleration for approximate nearest neighbor search on arm

Reference 30

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Observation 77a5877c-463e-45c1-ae77-b71f42c672b7 · outbound

This paper cites Cvpr2023 tutorial on neural search in action, 2023.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Cvpr2023 tutorial on neural search in action, 2023

Reference 31

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This paper cites A model for learned bloom filters, and optimizing by sandwiching.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table A model for learned bloom filters, and optimizing by sandwiching

Reference 32

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This paper cites Learning multi-dimensional indexes.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Learning multi-dimensional indexes

Reference 33

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This paper cites General and practical tun- ing method for off-the-shelf graph-based index: Sisap index- ing challenge report by team utokyo.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table General and practical tun- ing method for off-the-shelf graph-based index: Sisap index- ing challenge report by team utokyo

Reference 34

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This paper cites Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search

Reference 35

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This paper cites Relative nn-descent: A fast index construction for graph-based approximate nearest neighbor search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Relative nn-descent: A fast index construction for graph-based approximate nearest neighbor search

Reference 36

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This paper cites Revisiting oxford and paris: Large-scale image retrieval benchmarking.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Revisiting oxford and paris: Large-scale image retrieval benchmarking

Reference 37

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This paper cites Fine- tuning cnn image retrieval with no human annotation.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Fine- tuning cnn image retrieval with no human annotation

Reference 38

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LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Unresolved cited work

Reference 39

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This paper cites Ravi, Daniel J.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Ravi, Daniel J

Reference 40

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LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Unresolved cited work

Reference 41

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This paper cites Fast partitioned learned bloom filter.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Fast partitioned learned bloom filter

Reference 42

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This paper cites Glow: Global weighted self-attention network for web search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Glow: Global weighted self-attention network for web search

Reference 43

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Observation 466e2177-cf36-48a8-b98e-f989b1f5e6c7 · outbound

This paper cites Results of the neurips’21 challenge on billion-scale approximate nearest neighbor search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Results of the neurips’21 challenge on billion-scale approximate nearest neighbor search

Reference 44

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This paper cites Results of the Big ANN: NeurIPS'23 competition.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Results of the Big ANN: NeurIPS'23 competition

Reference 45

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This paper cites Diskann: Fast accurate billion-point nearest neighbor search on a single node.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Diskann: Fast accurate billion-point nearest neighbor search on a single node

Reference 46

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This paper cites Partitioned learned bloom filters.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Partitioned learned bloom filters

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:35.769319Z

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Observation fdfcb0f8-ae0d-4c40-b6c6-1b093c42b830 · outbound

This paper cites A comprehensive survey and experimental compari- son of graph-based approximate nearest neighbor search.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table A comprehensive survey and experimental compari- son of graph-based approximate nearest neighbor search

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:35.578460Z

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Observation 11b07d8a-5ed8-49f2-8117-ec42f7742983 · outbound

This paper cites Updatable learned index with precise positions.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table Updatable learned index with precise positions

Reference 49

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Observation 8f92090f-0cc3-4056-9a2f-5615c15eccc9 · outbound

This paper cites This condition.

LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table This condition

Reference 50

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