Paper Citation Record · LEDGER

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.13442.

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

pith.paper-citation-record.v1
2501.13442 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:12:24.408770Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy31
unresolved12
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 981edf46-ee10-4a6b-a22e-cb1bc245be4e · outbound

This paper cites As datasets grow to billions of entries, the challenge of performing efficient searches on high -dimensional vectors becomes increasingly complex [4].

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering As datasets grow to billions of entries, the challenge of performing efficient searches on high -dimensional vectors becomes increasingly complex [4]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.894812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0bf4c61b-a0a9-4336-9d4c-806ec6ee8abf · outbound

This paper cites This section reviews the most relevant literature to our work, focusing on techniques for ANN search and filtering in billion-scale datasets.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering This section reviews the most relevant literature to our work, focusing on techniques for ANN search and filtering in billion-scale datasets

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.887081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f66b444-a3f5-4338-bf9a-6a5c09790e03 · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.879191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de4b132d-9ddf-423a-9ddf-2d7b257098ce · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.871231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c2bc998-8e8f-44db-95b0-1c6dffc1ab61 · outbound

This paper cites vector” and “embedding.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering vector” and “embedding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.862697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8769c39b-de09-4259-b5d9-1a18a95e0d03 · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.854698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f55e075f-6cf3-48db-8767-bf63da2568a9 · outbound

This paper cites K-Means or MiniBatchKMeans [30] clustering is performed on the core vectors 𝑥𝑖 ∈  𝐷 to obtain 𝐾 cluster centroids, denoted as 𝐶 = {𝑐1, 𝑐2, … , 𝑐𝐾}, where each centroid 𝑐𝑘  𝐷.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering K-Means or MiniBatchKMeans [30] clustering is performed on the core vectors 𝑥𝑖 ∈  𝐷 to obtain 𝐾 cluster centroids, denoted as 𝐶 = {𝑐1, 𝑐2, … , 𝑐𝐾}, where each centroid 𝑐𝑘  𝐷

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.846794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9090164d-02cc-41c5-b807-af4915c32aaa · outbound

This paper cites Each core vector 𝑥𝑖 is assigned to its nearest centroid cₖ based on a distance metric 𝑑(·,·), e.g., cosine similarity.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Each core vector 𝑥𝑖 is assigned to its nearest centroid cₖ based on a distance metric 𝑑(·,·), e.g., cosine similarity

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.838547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a573a83d-6be2-4573-84f4-261a378fe2c3 · outbound

This paper cites For each inverted list 𝐿𝑘, the full core vectors are stored.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering For each inverted list 𝐿𝑘, the full core vectors are stored

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.829288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c795db8-bc69-4218-bad8-6c98e102d2c3 · outbound

This paper cites In addition to the core vectors, the index structure maintains the corresponding filter attributes for each vector.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering In addition to the core vectors, the index structure maintains the corresponding filter attributes for each vector

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.820938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ab8a445-88a3-4e6d-8d46-daeb2c8f2012 · outbound

This paper cites Building upon these initial findings, we conducted a comprehensive case study to demonstrate the effectiveness and efficiency of our proposed algorithm.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Building upon these initial findings, we conducted a comprehensive case study to demonstrate the effectiveness and efficiency of our proposed algorithm

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.812886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation badf15e8-289c-4a6d-9fb5-5692740e83f7 · outbound

This paper cites Our approach extends the classical IVF-Flat structure by introducing hybrid vectors that integrate dense embeddings and discrete filtering attributes.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Our approach extends the classical IVF-Flat structure by introducing hybrid vectors that integrate dense embeddings and discrete filtering attributes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.804748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e008a4d-7e28-490c-9f5f-16347934db78 · outbound

This paper cites Similarity Search and Data Mining: Database Techniques Supporting Next Decade ’s Applications.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Similarity Search and Data Mining: Database Techniques Supporting Next Decade ’s Applications

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.796390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10705261-e64a-42eb-9d7d-a156bd02c37f · outbound

This paper cites S e v i l m is, B.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering S e v i l m is, B

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.788659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21bd94de-069a-4258-955d-366e2e2ceb50 · outbound

This paper cites Auto-Tuning Similarity Search Algorithms on Multi-Core Architectures.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Auto-Tuning Similarity Search Algorithms on Multi-Core Architectures

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.780925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbdf891c-03c0-4563-bdb0-b102046758dd · outbound

This paper cites Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:12:24.560157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b79345fb-3340-4704-9622-95dc697434e3 · outbound

This paper cites The Curse of Dimensionality.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering The Curse of Dimensionality

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.773294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b81f5fc5-807b-4fd0-a98a-d73552bc5321 · outbound

This paper cites D o u z e, C.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering D o u z e, C

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:24.326645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bc6c87-b815-4832-b055-f5dc24dfd38c · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:24.329747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2dcfef4-b99d-4540-a4fb-a8280aab3514 · outbound

This paper cites Voronoi Cells.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Voronoi Cells

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.765601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2abce361-ab73-49c5-8e2e-d2c8feb496a5 · outbound

This paper cites Z o u m p a t i a n os, T.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Z o u m p a t i a n os, T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.757957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ba463fa-7885-4fea-a740-cd5121ea34f6 · outbound

This paper cites B a b e n ko, Y.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering B a b e n ko, Y

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.750320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44934aaf-d2cc-4886-ac71-75e887dfe4dd · outbound

This paper cites D o u z e, H.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering D o u z e, H

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.742153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b197e6f4-85ed-466b-aeae-d2eb039d7346 · outbound

This paper cites W a n g, M.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering W a n g, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.734429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e7784a6-cb12-461b-b0b7-29110ebf99dd · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.726770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e868c362-f5b9-4ade-a933-abe2fd8742de · outbound

This paper cites K a r i a, V.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering K a r i a, V

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.718765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac6c88f5-7941-447e-8338-6d57c7e20202 · outbound

This paper cites D e v v r it, H.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering D e v v r it, H

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.711073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72ce32ac-329f-435c-9974-137f1cc821da · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.702394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a66a5b9-227e-4262-870a-cf03b7bfab7c · outbound

This paper cites FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:24.358071Z

Source-reported events for the cited work

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Observation e3bade9f-0c8e-4212-965e-e579239d66f2 · outbound

This paper cites T u r m u k h a m e t o va, N.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering T u r m u k h a m e t o va, N

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.694719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f271eb0e-04dd-4362-a6d5-085e77695ead · outbound

This paper cites 5mins on Postgres: Vectors with PGvector.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering 5mins on Postgres: Vectors with PGvector

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.687079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00cc5284-137f-4ce9-9f3a-d2f77dfa1a61 · outbound

This paper cites AnalyticDB: Real-time OLAP Database.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering AnalyticDB: Real-time OLAP Database

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.678443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae3c7e52-9cc7-4e3a-9776-d3e58b5abd18 · outbound

This paper cites TOAST (Last accessed: 26.07.2024).

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering TOAST (Last accessed: 26.07.2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.669931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 932220a4-42c3-4025-a99c-8a2a77f0122b · outbound

This paper cites Accelerating Vector Search Using GPU-Powered Indexes with RAPIDS Raft.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Accelerating Vector Search Using GPU-Powered Indexes with RAPIDS Raft

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.662212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95b7f48a-feb4-42c3-93dd-8bb3166b2591 · outbound

This paper cites Accelerated Vector Search: Approximating with RAPIDS raft IVF -Flat.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Accelerated Vector Search: Approximating with RAPIDS raft IVF -Flat

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.654000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ecfb2ef-804c-491d-a953-eb6a605999e0 · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.645599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b7e6cef-f83a-4f1e-be73-56c2341a6722 · outbound

This paper cites H ö g q v i st.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering H ö g q v i st

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.637215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb0f5ded-53f5-4833-8d8f-55776907ae3e · outbound

This paper cites The Faiss library.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering The Faiss library

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:24.383549Z

Source-reported events for the cited work

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Observation e4408708-6e84-4137-b245-7bfb733c91d4 · outbound

This paper cites https://github.com/pgvector/pgvector 58.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering https://github.com/pgvector/pgvector 58

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.629533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f376e9ee-cee7-471e-a6b7-ed8eff993aa0 · outbound

This paper cites https://github.com/timescale/pgvectorscale.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering https://github.com/timescale/pgvectorscale

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:12:24.621670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2793a056-220b-4637-a9ef-ff66db404608 · outbound

This paper cites pgvectorscale – Accelerating AI Development with High-Performance Vector Search (Last accessed: 16.10.2024).

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering pgvectorscale – Accelerating AI Development with High-Performance Vector Search (Last accessed: 16.10.2024)

Reference 41

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:12:24.613871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 364bf201-a5ee-422e-bcc8-2c42b3b9f114 · outbound

This paper cites https://scikit- learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering https://scikit- learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.604473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb0dce75-c160-447e-b290-c6fa345cc065 · outbound

This paper cites M e d i ni, A.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering M e d i ni, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.596109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5da9dc66-c826-44bd-b34c-229f9ea81091 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T16:12:24.400494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d058d437-f948-485c-92cf-94e7d47194ee · outbound

This paper cites an unresolved cited work.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:12:24.587864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 258f0b7d-e48d-4354-949f-7ca34fcc38ee · outbound

This paper cites Semantic Search at Billions Scale (Last accessed: 26.07.2024).

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering Semantic Search at Billions Scale (Last accessed: 26.07.2024)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:12:24.579433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72447a3e-8eb3-44ee-99cd-280a0b3ac677 · outbound

This paper cites S e l v i t o pi, M.

Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering S e l v i t o pi, M

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T16:12:24.569980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.