Paper Citation Record · LEDGER

Accelerating Large-Scale Inference with Anisotropic Vector Quantization

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 15 inbound Pith citation observations for arXiv:1908.10396.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.10396 v5

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:51:32.772464Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:13:42.131464Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T13:28:18.591775Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy35
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 471465c8-afa6-45da-b15f-28fba67bc4fc · outbound

This paper cites Practical and optimal lsh for angular distance.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Practical and optimal lsh for angular distance

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.288197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b82efc07-247b-4ef4-bca9-ab69a93d60f0 · outbound

This paper cites Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.276208Z

Source-reported events for the cited work

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Observation 8798820b-0307-4511-820f-8ae38df7c7d6 · outbound

This paper cites Additive quantization for extreme vector compression.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Additive quantization for extreme vector compression

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.263741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 24e42892-9b1e-4748-b097-463003d7c10d · outbound

This paper cites Pairwise Quantization.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Pairwise Quantization

Reference 4

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Source-reported events for the cited work

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Observation d15be8bb-d9cd-4529-8ead-56213aa3f812 · outbound

This paper cites Sparse local embeddings for extreme multi-label classification.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Sparse local embeddings for extreme multi-label classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.252260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f6e650d-1c41-4442-b6e8-9869c4bb7885 · outbound

This paper cites Hashing with binary autoencoders.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Hashing with binary autoencoders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.241262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b379cb83-a56a-4c23-a3b9-0e68f9ca8e01 · outbound

This paper cites Similarity estimation techniques from rounding algorithms.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Similarity estimation techniques from rounding algorithms

Reference 7

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Source-reported events for the cited work

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Observation 57254819-09d4-43b8-a0d0-744dc7133aee · outbound

This paper cites SPTAG: A library for fast approximate nearest neighbor search, 2018.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization SPTAG: A library for fast approximate nearest neighbor search, 2018

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.221931Z

Source-reported events for the cited work

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Observation 830bd3be-f99f-493b-a088-97b9691ba095 · outbound

This paper cites Performance of recommender algorithms on top-n recommendation tasks.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Performance of recommender algorithms on top-n recommendation tasks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.209004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 15a1a8d9-4b57-4345-9272-14c49a713018 · outbound

This paper cites Stochastic generative hashing.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Stochastic generative hashing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.196286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 482ac2c4-31f5-4c28-9f07-dcc446f76b14 · outbound

This paper cites Random projection trees and low dimensional manifolds.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Random projection trees and low dimensional manifolds

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.185660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 800b39d1-108b-4f58-bd11-0eca8567ded6 · outbound

This paper cites Fast, accurate detection of 100,000 object classes on a single machine: Technical supplement.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Fast, accurate detection of 100,000 object classes on a single machine: Technical supplement

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.174097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c9ed3a1-2296-44a7-9a4e-fb41ef8976a1 · outbound

This paper cites an unresolved cited work.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 5feb496b-283b-4aca-bc00-f9d1363e8a89 · outbound

This paper cites Learning dense representations for entity retrieval.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Learning dense representations for entity retrieval

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.163659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation caad6c9f-0091-4e3e-af5a-0cd6c32bcdae · outbound

This paper cites Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.152610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45c7d319-b406-40d8-93fe-363087cee281 · outbound

This paper cites A deep relevance matching model for ad-hoc retrieval.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization A deep relevance matching model for ad-hoc retrieval

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.141762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f2a73b2-b520-4428-afcf-1e5aa40ebdec · outbound

This paper cites Quantization based fast inner product search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Quantization based fast inner product search

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.129548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5010e17f-a6fa-43a3-8e11-a14feb24a785 · outbound

This paper cites FANNG : Fast approximate nearest neighbour graphs.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization FANNG : Fast approximate nearest neighbour graphs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.118128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6fde688-2930-466f-b1f3-d1520a83dacb · outbound

This paper cites K-means hashing: An affinity-preserving quantization method for learning binary compact codes.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization K-means hashing: An affinity-preserving quantization method for learning binary compact codes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.103366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 216c141e-292d-4cae-af26-9cd32c86669c · outbound

This paper cites Approximate nearest neighbors: towards removing the curse of dimensionality.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Approximate nearest neighbors: towards removing the curse of dimensionality

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.091873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0dbd91e6-6551-48ec-8cfc-986dd340ad8b · outbound

This paper cites Product quantization for nearest neighbor search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Product quantization for nearest neighbor search

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.079897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 484f70ea-7013-45c9-aba1-b0da9c1b81ce · outbound

This paper cites Billion-scale similarity search with GPUs.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Billion-scale similarity search with GPUs

Reference 22

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Source-reported events for the cited work

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Observation 0d77ccaa-97ce-41ec-b377-3ef8c644fc72 · outbound

This paper cites Random projections with asymmetric quantization.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Random projections with asymmetric quantization

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b222e8b-b88b-46c0-8284-ee752a424783 · outbound

This paper cites Deep hashing for compact binary codes learning.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Deep hashing for compact binary codes learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.057552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2642aaf-baa3-4b5f-beb4-34c54e12896a · outbound

This paper cites Least squares quantization in pcm.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Least squares quantization in pcm

Reference 25

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Source-reported events for the cited work

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Observation 57433536-0e5b-4818-a1f9-79357e1b06e5 · outbound

This paper cites Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T10:51:32.699053Z

Source-reported events for the cited work

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Observation eeac9d3f-447e-447d-87ee-b1afe272ac87 · outbound

This paper cites Marcheret , V.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Marcheret , V

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.040414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1dac94d0-ee4f-422f-8706-a3af66d65700 · outbound

This paper cites Lsq++: Lower running time and higher recall in multi-codebook quantization.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Lsq++: Lower running time and higher recall in multi-codebook quantization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.030407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 524792bc-cf12-412a-af43-a936eab31778 · outbound

This paper cites On the downstream performance of compressed word embeddings.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization On the downstream performance of compressed word embeddings

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.019808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d90895c9-7641-491c-97c1-3182631004e9 · outbound

This paper cites Unsupervised neural quantization for compressed-domain similarity search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Unsupervised neural quantization for compressed-domain similarity search

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:33.009867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7caa22da-5ae9-4ee0-8589-28f3fc3a8cca · outbound

This paper cites Scalable nearest neighbor algorithms for high dimensional data.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Scalable nearest neighbor algorithms for high dimensional data

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.998811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 518645a1-e9f6-42be-b266-45aaa18ac0ac · outbound

This paper cites Learning and inference via maximum inner product search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Learning and inference via maximum inner product search

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.986400Z

Source-reported events for the cited work

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Observation 82a44819-4290-415c-b0e5-999c0831ba2f · outbound

This paper cites On symmetric and asymmetric lshs for inner product search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization On symmetric and asymmetric lshs for inner product search

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.974819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a1fec47-73ca-4cf8-9f93-3919eea3aedf · outbound

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Accelerating Large-Scale Inference with Anisotropic Vector Quantization Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 5e2bb0fc-35b7-4400-9379-52473ddc8813 · outbound

This paper cites Neural episodic control.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Neural episodic control

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.952247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7d01e32-3a8b-4844-abe7-fef31008aeb6 · outbound

This paper cites Stochastic negative mining for learning with large output spaces.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Stochastic negative mining for learning with large output spaces

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.941632Z

Source-reported events for the cited work

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Observation 51f6ec2f-b473-469b-b113-03bf3bfece8b · outbound

This paper cites Spreading vectors for similarity search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Spreading vectors for similarity search

Reference 37

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Source-reported events for the cited work

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Observation a5e4ce72-bbc5-4619-ac65-9256c6b2007b · outbound

This paper cites Asymmetric lsh (alsh) for sublinear time maximum inner product search (mips).

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Asymmetric lsh (alsh) for sublinear time maximum inner product search (mips)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.924432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d560f44-be1d-4b08-bc4a-080b1a036256 · outbound

This paper cites The random projection method, volume 65.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization The random projection method, volume 65

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.913093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4719b281-7625-46cb-8a38-ee30de1b5489 · outbound

This paper cites Hashing for Similarity Search: A Survey.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Hashing for Similarity Search: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T10:51:32.748670Z

Source-reported events for the cited work

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Observation d50ab6e1-9061-4907-916c-a7c0f3606d59 · outbound

This paper cites Learning to hash for indexing big data survey.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Learning to hash for indexing big data survey

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.902569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c280bf1-810b-4533-b0ce-16e57bb34415 · outbound

This paper cites Large scale image annotation: learning to rank with joint word-image embeddings.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Large scale image annotation: learning to rank with joint word-image embeddings

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.892253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da884736-f880-4d11-86b0-ffc6b6ff4d47 · outbound

This paper cites StarSpace: Embed All The Things!.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization StarSpace: Embed All The Things!

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T10:51:32.758863Z

Source-reported events for the cited work

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Observation 95fd48e9-4a65-43bc-a2bc-7c0fcdea3a5b · outbound

This paper cites Multiscale quantization for fast similarity search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Multiscale quantization for fast similarity search

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.879900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31fd2d26-c440-42b8-90bb-098356da605e · outbound

This paper cites Loss decomposition for fast learning in large output spaces.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Loss decomposition for fast learning in large output spaces

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:51:32.869573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af28b6b0-6eed-4316-9c41-5640a5c2d47c · outbound

This paper cites Composite quantization for approximate nearest neighbor search.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Composite quantization for approximate nearest neighbor search

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T10:51:32.769306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8fbe94-a5a4-4af2-bef8-011fc77a692a · outbound

This paper cites Trained Ternary Quantization.

Accelerating Large-Scale Inference with Anisotropic Vector Quantization Trained Ternary Quantization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T10:51:32.772464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3381c33e-a3a0-46d6-a97f-0ec50f53e1e3 · inbound

Improving language models by retrieving from trillions of tokens cites this paper.

Improving language models by retrieving from trillions of tokens Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:55:41.697929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c227c025-522a-47e7-b009-059536388b6f · inbound

Drowning in Documents: Consequences of Scaling Reranker Inference cites this paper.

Drowning in Documents: Consequences of Scaling Reranker Inference Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T18:13:42.131464Z

Source-reported events for the cited work

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Observation 03640390-7a1a-48f8-a380-ecbde7ba3e72 · inbound

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search cites this paper.

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 7

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Source-reported events for the cited work

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Observation b9f8fc87-2dc5-470a-9e6a-0c2c97198e40 · inbound

WARP: An Efficient Engine for Multi-Vector Retrieval cites this paper.

WARP: An Efficient Engine for Multi-Vector Retrieval Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:25.366689Z

Source-reported events for the cited work

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Observation 8176a4f6-69ea-47bf-a467-d7ae6c5d7c09 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:21.073577Z

Source-reported events for the cited work

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Observation c88995f3-3899-46b0-9ee8-919175a07ead · inbound

CleANN: Efficient Full Dynamism in Graph-based Approximate Nearest Neighbor Search cites this paper.

CleANN: Efficient Full Dynamism in Graph-based Approximate Nearest Neighbor Search Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:03:50.074410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6cc460d-a29b-4f76-ab56-ceeb08798667 · inbound

Efficient Item ID Generation for Large-Scale LLM-based Recommendation cites this paper.

Efficient Item ID Generation for Large-Scale LLM-based Recommendation Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:46:47.726726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b72c218a-3e0b-4278-9fb0-1ff77a91710c · inbound

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs cites this paper.

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:16:15.047534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b585021-d3de-44fe-8b41-6a6507c8a9ce · inbound

A Replicability Study of XTR cites this paper.

A Replicability Study of XTR Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:16:06.259671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 078cefab-55dc-4fd9-bc63-398e1b87a232 · inbound

Ascend-RaBitQ: Heterogeneous NPU-CPU Acceleration of Billion-Scale Similarity Search with 1-bit Quantization cites this paper.

Ascend-RaBitQ: Heterogeneous NPU-CPU Acceleration of Billion-Scale Similarity Search with 1-bit Quantization Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:12:50.655158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c03a581-254a-45e7-a8f2-764cb3ef301f · inbound

LLM-Based User Personas for Recommendations at Scale cites this paper.

LLM-Based User Personas for Recommendations at Scale Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:28:18.593206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76536953-a1da-4d59-ad2e-29c32718c19d · inbound

LLM-Based User Personas for Recommendations at Scale cites this paper.

LLM-Based User Personas for Recommendations at Scale Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:48:19.748054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af0f54f-810d-4337-836e-9101de15ee9d · inbound

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills cites this paper.

The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:15:44.246476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3f69538-26ab-498c-883e-0168da5f4eab · inbound

RACORN-1: Adaptive Recall-Preserving Speedup for Low-Selectivity Filtered Vector Search cites this paper.

RACORN-1: Adaptive Recall-Preserving Speedup for Low-Selectivity Filtered Vector Search Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:16:33.276974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94dd7dfa-5042-4dfc-a46d-9430e95c9447 · inbound

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning cites this paper.

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning Accelerating Large-Scale Inference with Anisotropic Vector Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T16:08:01.254231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.