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Paper Citation Record · LEDGER

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search

As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2512.22838.

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

pith.paper-citation-record.v1
2512.22838 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:51:32.235849Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:42:19.894756Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

60 of 60 outbound references displayed

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  • verified fuzzy0
  • unresolved60
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  • malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7b8960ca-a692-49b4-9d4b-6128d1289157 · outbound

This paper cites Microsoft copilot and anthropic claude ai in education and library service.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Microsoft copilot and anthropic claude ai in education and library service

Reference 1

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Observation b73dfe33-c185-4d4b-a15c-bdb55e190b5e · outbound

This paper cites Achieving sub-second pairwise query over evolving graphs.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Achieving sub-second pairwise query over evolving graphs

Reference 2

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source=pdf_text observed=2026-08-03T13:51:31.954468Z digest=sha256:b0318f22fa4a7747f044f9a0a29dbf62cc21b60cb7bcfaed1761dc250593cfaa

Observation cff4cd78-95e6-4fdd-8e73-b7dded5718c9 · outbound

This paper cites an unresolved cited work.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-03T13:51:31.959052Z digest=sha256:975936ac3860383255cf756c080f9a824c149059376c98038dbfcc146fc2ee5b

Observation 6eca795c-eca2-48a0-9aea-ed380ed76d37 · outbound

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

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Sptag: A library for fast approximate nearest neighbor search, 2018

Reference 4

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source=pdf_text observed=2026-08-03T13:51:31.964688Z digest=sha256:8cab55d9997225154ca688685f295fefcabf5474465df19c7db67da76780cbcd

Observation b52b93b7-6c5a-4123-ad19-644fbb79f2bb · outbound

This paper cites Spann: Highly-efficient billion-scale approximate nearest neighborhood search.Advances in Neural Information Processing Systems, 34:5199–5212, 2021.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Spann: Highly-efficient billion-scale approximate nearest neighborhood search.Advances in Neural Information Processing Systems, 34:5199–5212, 2021

Reference 5

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source=pdf_text observed=2026-08-03T13:51:31.970073Z digest=sha256:031060c06d57e789327bb8cc820a037770ee70ac7b497349f6be3bdf62332144

Observation 6e3fd87c-9a73-4018-9fda-c6def9014cc1 · outbound

This paper cites UpANNS: Enhancing Billion-Scale ANNS Efficiency with Real-World PIM Architecture.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search UpANNS: Enhancing Billion-Scale ANNS Efficiency with Real-World PIM Architecture

Reference 6

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source=pdf_text observed=2026-08-03T13:51:31.975266Z digest=sha256:a9cac7705593b1dcb857c411aca6b98993f6c5e86cc8cc7aa1cbdbecde93cdd4

Observation 347eea86-e8bf-4185-92e9-61e07d0f7cd7 · outbound

This paper cites Onesparse: A unified system for multi-index vector search.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Onesparse: A unified system for multi-index vector search

Reference 7

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source=pdf_text observed=2026-08-03T13:51:31.980696Z digest=sha256:5596c122c971cfd5aa51316e6a4aaa5be11d2cf9305a1237cf2d3f79acc4e60f

Observation 6a53338a-331b-438c-a910-9d65a8fc070c · outbound

This paper cites MagicPIG: LSH Sampling for Efficient LLM Generation.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search MagicPIG: LSH Sampling for Efficient LLM Generation

Reference 8

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source=pdf_text observed=2026-08-03T13:51:31.985752Z digest=sha256:9294ff6cae6d2958eebab111b0ad902800751f44cabe7feb8bcbf011716f5983

Observation 5739dec8-c439-4f2d-b22f-5e3e4d5218e2 · outbound

This paper cites Deep neural networks for youtube recommendations.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Deep neural networks for youtube recommendations

Reference 9

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source=pdf_text observed=2026-08-03T13:51:31.990860Z digest=sha256:5fb710a294a88af822222a5ea0055ea337b2d13078f66c3f3301ef8ebccfded0

Observation 0fc51e78-090a-46df-8701-e7bf69ebdd20 · outbound

This paper cites The power of noise: Redefining retrieval for rag systems.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search The power of noise: Redefining retrieval for rag systems

Reference 10

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source=pdf_text observed=2026-08-03T13:51:31.995879Z digest=sha256:7e7e9d3030804fe929b27f63d95c5293edd59751a27c98f1e7bc8860927a57dd

Observation 92814cf7-8f3b-4fa5-8a92-7dcd66546209 · outbound

This paper cites AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference

Reference 11

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source=pdf_text observed=2026-08-03T13:51:32.000242Z digest=sha256:51a963f4ce8efb444b81e93eb8855533d28cac3653247bd7e8356521a60d790b

Observation 4f6e4608-61c4-4845-8bbd-e3e9548b21a9 · outbound

This paper cites Risgraph: A real-time streaming system for evolving graphs to support sub-millisecond per-update analysis at millions ops/s.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Risgraph: A real-time streaming system for evolving graphs to support sub-millisecond per-update analysis at millions ops/s

Reference 12

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source=pdf_text observed=2026-08-03T13:51:32.006719Z digest=sha256:afd25ccdf1f5f0baf0535cab1179c8ff230a001895fffbcee828879005ea7769

Observation 675626a3-707e-465b-9827-d897c0d84702 · outbound

This paper cites Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

Reference 14

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source=pdf_text observed=2026-08-03T13:51:32.020328Z digest=sha256:c2888f17f27e135f06d7ff2489a829f924f4a494f3aaf068bbe809e0ce58b6c5

Observation de330a51-a981-449a-a018-cc207c9fd74c · outbound

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

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Fast approximate nearest neighbor search with the navigating spreading-out graph.Proc

Reference 15

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source=pdf_text observed=2026-08-03T13:51:32.025952Z digest=sha256:3295553202c61088b0600bcdeee293c3dd90d2ed922703788211da0ef4148553

Observation 0454e062-ec6b-4105-aab8-f92bc16d12c2 · outbound

This paper cites Practical and asymptotically optimal quantization of high- dimensional vectors in euclidean space for approximate nearest neighbor search.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Practical and asymptotically optimal quantization of high- dimensional vectors in euclidean space for approximate nearest neighbor search

Reference 16

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source=pdf_text observed=2026-08-03T13:51:32.030512Z digest=sha256:02c32fb99cfe0956137f5151c0b1e5cdef903608eafe1713bede28df99d0fdc5

Observation fb20608f-29b4-4378-8f90-56e0dfcd48ce · outbound

This paper cites Rabitq: quantizing high-dimensional vectors with a theoretical error bound for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 2(3):1–27, 2024.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Rabitq: quantizing high-dimensional vectors with a theoretical error bound for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 2(3):1–27, 2024

Reference 17

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source=pdf_text observed=2026-08-03T13:51:32.036842Z digest=sha256:28b917b31f45149c2207a64f2a87c91e68adcb656a126e772a7a1f44633b7ffc

Observation a8d3a3fe-a455-4110-81b9-67cf7dcf67a5 · outbound

This paper cites Symphonyqg: Towards symphonious integration of quantization and graph for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 3(1):1–26, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Symphonyqg: Towards symphonious integration of quantization and graph for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 3(1):1–26, 2025

Reference 18

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source=pdf_text observed=2026-08-03T13:51:32.041267Z digest=sha256:77685ba83920a3c40ca74fafdf22216f33d52ea15eeb05573bc2d6bb4607d5b4

Observation a10b43fa-4ab3-496b-a25e-5b3aafc2bca5 · outbound

This paper cites Ggnn: Graph-based gpu nearest neighbor search.IEEE Transactions on Big Data, 9(1):267–279, 2022.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Ggnn: Graph-based gpu nearest neighbor search.IEEE Transactions on Big Data, 9(1):267–279, 2022

Reference 19

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source=pdf_text observed=2026-08-03T13:51:32.045719Z digest=sha256:083034f3081d3e7e3352ee1f097ada1441f8e66c15e3aa1156888c6f4dac7167

Observation 736ddd58-c12e-4e43-913c-75fdb1b0ac73 · outbound

This paper cites Achieving {Low-Latency}{ Graph-Based} vector search via aligning{Best-First} search algorithm with{SSD}.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Achieving {Low-Latency}{ Graph-Based} vector search via aligning{Best-First} search algorithm with{SSD}

Reference 20

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source=pdf_text observed=2026-08-03T13:51:32.050094Z digest=sha256:a1132803bed2c8a035227d85f042324c18d85249827af9dbe15deb58de25f05d

Observation a4a09440-d406-4561-92ae-c828de57aa30 · outbound

This paper cites Hedrarag: Co-optimizing generation and retrieval for hetero- geneous rag workflows.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Hedrarag: Co-optimizing generation and retrieval for hetero- geneous rag workflows

Reference 21

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source=pdf_text observed=2026-08-03T13:51:32.055056Z digest=sha256:c39a681a5dd3bee951bba01a1a61c25fdcd76defbc23c9ccadf6b941b5f38d76

Observation 271e7d9f-ada3-40b0-a578-0ac6b7ece976 · outbound

This paper cites In2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 585–600, 2023.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search In2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 585–600, 2023

Reference 22

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source=pdf_text observed=2026-08-03T13:51:32.061164Z digest=sha256:7ebfe198466c85292c2b4749d7c702977ce07046d68bc045bcb8b02575eeb691

Observation 0cb3befe-b2ac-4bb6-a651-435a84b9e83d · outbound

This paper cites Diskann: Fast accurate billion-point nearest neighbor search on a single node.Advances in neural information processing Systems, 32, 2019.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Diskann: Fast accurate billion-point nearest neighbor search on a single node.Advances in neural information processing Systems, 32, 2019

Reference 23

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source=pdf_text observed=2026-08-03T13:51:32.066246Z digest=sha256:f50fb8685a1bd6b1406e0f07b0d9846efc8f005ad1c0e6f6f8212ec3bdde0e5b

Observation adf3332f-d598-42e8-b7e2-ff96559db149 · outbound

This paper cites Product quantization for nearest neighbor search.IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):117–128, 2011.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Product quantization for nearest neighbor search.IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(1):117–128, 2011

Reference 24

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source=pdf_text observed=2026-08-03T13:51:32.071044Z digest=sha256:b26021ca91cd22d8f985586b229b1ea6c00e13e6536d19f669181f7d89d94ae5

Observation 6a06611d-1eda-43aa-af87-ef9528bc56a7 · outbound

This paper cites Billion-scale similarity search with gpus.IEEE Transactions on Big Data, 7(3):535–547, 2019.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Billion-scale similarity search with gpus.IEEE Transactions on Big Data, 7(3):535–547, 2019

Reference 25

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source=pdf_text observed=2026-08-03T13:51:32.076056Z digest=sha256:ace5287069ca5a76c5ef3f4a7a1de9abcad9f4a966edce6272edc8d79f361e4c

Observation a28c8812-8f9b-4392-8bea-fd75b89899c9 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 26

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source=pdf_text observed=2026-08-03T13:51:32.081140Z digest=sha256:80ff64e1b2159def2dc5d152ca0903b2a3d9dd05f57b47a4a3b189ca416cd07a

Observation d96f2a48-f3a1-461f-afd6-35b048a11b03 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 27

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source=pdf_text observed=2026-08-03T13:51:32.086680Z digest=sha256:fe53fd85374a16cc33ce0680070e02b4bd41e96c6f0822f5b287215cd61eed94

Observation ed611c32-76a0-4efd-9e6c-9bd6a40623b0 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 28

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source=pdf_text observed=2026-08-03T13:51:32.091791Z digest=sha256:70756184b01ab4b3c6481496353e976eb00fd150dd8e4b6c5411007e1bf684df

Observation c4ef36c4-f9d9-4df3-a8c1-5246fc3e164c · outbound

This paper cites Ansmet: Approximate nearest neighbor search with near-memory processing and hybrid early termination.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Ansmet: Approximate nearest neighbor search with near-memory processing and hybrid early termination

Reference 29

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source=pdf_text observed=2026-08-03T13:51:32.096193Z digest=sha256:9d39df657b4c7f23b06d2a97ec148355a4a795533fc4d9c85e85cbcd123acabb

Observation 1ea031fa-db6d-4c77-98fd-40061f6b337e · outbound

This paper cites DeepSeek-V3 Technical Report.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search DeepSeek-V3 Technical Report

Reference 30

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source=pdf_text observed=2026-08-03T13:51:32.100312Z digest=sha256:aab59e4fc5f2640db8b5c95279c1c5ad3eb60685f3cab63a50229790589697a5

Observation 8a3df2a8-96b4-4863-b7cf-3b9461b02289 · outbound

This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 31

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source=pdf_text observed=2026-08-03T13:51:32.105366Z digest=sha256:4ef7a17fdf026688e67d46248bffca850d3a785d803dbdad5a5bf7c465592f5b

Observation 2b0f70c0-d545-48ee-a892-e9a01e9c4844 · outbound

This paper cites Malkov and D.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Malkov and D

Reference 32

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source=pdf_text observed=2026-08-03T13:51:32.110409Z digest=sha256:1cebfc8ebd5b6088dddfd70f8b38f01fda5ab8af2f7c9bd2d6cef7fba508aa75

Observation ac47b1b7-6dce-482e-b523-39e4eab91134 · outbound

This paper cites Parlayann: Scalable and deter- ministic parallel graph-based approximate nearest neighbor search algorithms.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Parlayann: Scalable and deter- ministic parallel graph-based approximate nearest neighbor search algorithms

Reference 33

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source=pdf_text observed=2026-08-03T13:51:32.114819Z digest=sha256:7e2eb2557be09c3ddaefe2d963711587a19bb53bbd87e747943ff1b11f8c9513

Observation 01f0f1c5-b518-4ac0-b81c-fbbeb0099d56 · outbound

This paper cites Ilyas, Theodoros Rekatsinas, and Shivaram Venkataraman.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Ilyas, Theodoros Rekatsinas, and Shivaram Venkataraman

Reference 34

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source=pdf_text observed=2026-08-03T13:51:32.119256Z digest=sha256:7e31d2b74ef446303c868f74b069579dc85fdf94ce65ed4a45ad778bb4f7ae22

Observation e91459fc-9050-431e-8148-636cfc5e67e5 · outbound

This paper cites Exploring dis- tributed vector databases performance on hpc platforms: A study with qdrant.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Exploring dis- tributed vector databases performance on hpc platforms: A study with qdrant

Reference 35

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source=pdf_text observed=2026-08-03T13:51:32.123519Z digest=sha256:16c4a5e835c1c2c7e76c3bfdb5fedbce87d4ddc68525a494bc2135f7b1eecfde

Observation 5c0b000d-e538-4806-9552-d37b1a761a11 · outbound

This paper cites Embedding- based news recommendation for millions of users.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Embedding- based news recommendation for millions of users

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:51:32.128007Z digest=sha256:7ec3129d3a4401a42cc7f94fa04a2a90e5e3437a42a57dd034225cf77cb1b455

Observation 435926a0-fd08-4895-b30c-a1aafd831289 · outbound

This paper cites Cagra: Highly parallel graph construction and approximate nearest neighbor search for gpus.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Cagra: Highly parallel graph construction and approximate nearest neighbor search for gpus

Reference 37

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source=pdf_text observed=2026-08-03T13:51:32.132425Z digest=sha256:4defd72ad30dc5085fadc30cdca3dc6f803dff264ea0dce3a5f5fcf77a159d42

Observation dfda6a9f-7771-471f-8150-af57b6c01c6f · outbound

This paper cites Openai developer platform, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Openai developer platform, 2025

Reference 38

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source=pdf_text observed=2026-08-03T13:51:32.137070Z digest=sha256:005de2478ae46b6fd6b92b85ae87ae3d6d9158480105890ee688632b46e44354

Observation 763cdb8e-6036-408e-9d76-69e676b105a7 · outbound

This paper cites Vector database management techniques and systems.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Vector database management techniques and systems

Reference 39

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source=pdf_text observed=2026-08-03T13:51:32.142067Z digest=sha256:296029822f4d44114ce7a5562a5fb29e7ff57a64c8bdfebc072c882f8d39b5bc

Observation 4d2b52af-8430-4515-b948-27b8f2cac140 · outbound

This paper cites Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Chatgpt and open-ai models: A preliminary review.Future Internet, 15(6):192, 2023

Reference 40

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source=pdf_text observed=2026-08-03T13:51:32.146561Z digest=sha256:419ce0ef8bd7744031207cfcb29185219c8e0b8cd2c8f2e5c8daba014bc0aa42

Observation 17e8c414-b6ad-47d5-bf21-50817316935c · outbound

This paper cites DiskANN: Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search, 2023.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search DiskANN: Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search, 2023

Reference 41

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source=pdf_text observed=2026-08-03T13:51:32.150863Z digest=sha256:1a32222767642f4b37cd08b59a99b3baef39a726ab754bda9b0d762479723088

Observation 9a565758-fccf-45d1-8e08-2f33de4a427f · outbound

This paper cites Scalable billion-point approximate nearest neighbor search using{SmartSSDs}.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Scalable billion-point approximate nearest neighbor search using{SmartSSDs}

Reference 42

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source=pdf_text observed=2026-08-03T13:51:32.154812Z digest=sha256:7a32d3d63f2f92cd36444f3d692df78b33e55cfaaf7edc73b8575944cad45d70

Observation 4a698de2-a66b-4c5c-bf9b-00da695b557f · outbound

This paper cites Towards high-throughput and low-latency billion-scale vector search via{CPU/GPU} collaborative filter- ing and re-ranking.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Towards high-throughput and low-latency billion-scale vector search via{CPU/GPU} collaborative filter- ing and re-ranking

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T13:51:32.158718Z digest=sha256:16d774ad9a5705610a75ec082cf5aa90c70aaf981fae58df25e1ff2e8f4f13bb

Observation bc2eebd3-9cf1-489a-b912-16da9a9ba7c4 · outbound

This paper cites Mirage-anns: Mixed approach graph-based indexing for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 3(3):1–27, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Mirage-anns: Mixed approach graph-based indexing for approximate nearest neighbor search.Proceedings of the ACM on Management of Data, 3(3):1–27, 2025

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T13:51:32.163000Z digest=sha256:e9e68535ab932c0b2a955067441796c74f902ae28cc1c1e71213875972675492

Observation dbb2e8f6-ff45-4352-a308-e6db3bf759ef · outbound

This paper cites Milvus: A purpose-built vector data management system.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Milvus: A purpose-built vector data management system

Reference 45

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no resolver link, observed 2026-08-03T13:51:32.167315Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T13:51:32.167315Z digest=sha256:c6df1bd02d1e548d5ef1ff3598bd2578b233d7c7aab2f64953ffc948e555716c

Observation 17d7ae8d-6449-4ee7-ac0f-bc08134f57bf · outbound

This paper cites Accelerating graph indexing for anns on modern cpus.Proceedings of the ACM on Management of Data, 3(3):1–29, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Accelerating graph indexing for anns on modern cpus.Proceedings of the ACM on Management of Data, 3(3):1–29, 2025

Reference 46

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source=pdf_text observed=2026-08-03T13:51:32.171912Z digest=sha256:702f1c2529aae5497f9f3f160a8b13e2e5a4ba5e2e9603c41f70cbb19f181107

Observation 21bed2e7-67cc-4b73-9fc4-1ba26b83b15b · outbound

This paper cites an unresolved cited work.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-03T13:51:32.175917Z digest=sha256:886b6fade343c852bb6fce75c8294a6d7575350356dcfb6637972868d42e13c4

Observation 68e11c5d-ce96-40e3-80d0-55f05e22567c · outbound

This paper cites Deltapq: lossless product quantization code compression for high dimensional similarity search.Proceedings of the VLDB Endowment, 13(13):3603–3616, 2020.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Deltapq: lossless product quantization code compression for high dimensional similarity search.Proceedings of the VLDB Endowment, 13(13):3603–3616, 2020

Reference 48

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source=pdf_text observed=2026-08-03T13:51:32.180319Z digest=sha256:7cfd09a2557673f3b591b5fafabd7808c054aa0e13ada89e5132674c14d79e47

Observation 52b7a4db-95f6-455c-bd25-86d32f0a1555 · outbound

This paper cites Det-lsh: a locality- sensitive hashing scheme with dynamic encoding tree for approximate nearest neighbor search.arXiv preprint arXiv:2406.10938, 2024.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Det-lsh: a locality- sensitive hashing scheme with dynamic encoding tree for approximate nearest neighbor search.arXiv preprint arXiv:2406.10938, 2024

Reference 49

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source=pdf_text observed=2026-08-03T13:51:32.184385Z digest=sha256:008c0c13081745f993c498efcf5abbaa18ba74c9b9f2d00ef8c3caa72f14e219

Observation 9e6cb545-f4db-4790-af30-209f57fb4a31 · outbound

This paper cites Turbocharge anns on real processing-in-memory by enabling fine-grained per-pim-core scheduling.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Turbocharge anns on real processing-in-memory by enabling fine-grained per-pim-core scheduling

Reference 50

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source=pdf_text observed=2026-08-03T13:51:32.189176Z digest=sha256:a4db623c176cd06cabbc84853f65312c03d9aa26492528318a1e30368d7e12de

Observation 1845524b-1ab7-4bb0-ba96-163a3e1de6b8 · outbound

This paper cites C-pack: Pack- aged resources to advance general chinese embedding, 2023.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search C-pack: Pack- aged resources to advance general chinese embedding, 2023

Reference 51

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source=pdf_text observed=2026-08-03T13:51:32.193531Z digest=sha256:a91216ed5ee2646dcdd21ac56b6118046f67f294f379c28cff201f57aa6f1461

Observation 7b19c413-86ca-48b6-a9e7-8017900c9c87 · outbound

This paper cites Tribase: A vector data query engine for reliable and lossless pruning compression using triangle inequalities.Proceedings of the ACM on Management of Data, 3(1):1–28, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Tribase: A vector data query engine for reliable and lossless pruning compression using triangle inequalities.Proceedings of the ACM on Management of Data, 3(1):1–28, 2025

Reference 52

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source=pdf_text observed=2026-08-03T13:51:32.197768Z digest=sha256:83454fef6aa6f1ba0f40b48cefce3e2c34872796c3f966ca952b451b130aa120

Observation 57915785-0577-4f42-a0f5-61112d212dba · outbound

This paper cites Spfresh: Incremental in-place update for billion-scale vector search.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Spfresh: Incremental in-place update for billion-scale vector search

Reference 53

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source=pdf_text observed=2026-08-03T13:51:32.201888Z digest=sha256:2aa13b1b3c5cbabb3e1c97f4578ab00311acf4b60277834c87e442f9468b60b0

Observation eb00825a-9851-4165-96f7-544004684ac8 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 54

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no resolver link, observed 2026-08-03T13:51:32.205956Z

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source=pdf_text observed=2026-08-03T13:51:32.205956Z digest=sha256:f813fb275229faf59140826473e4f86aff40c8d27815b2ce0ac67c6f7bead088

Observation a48a13fd-e17f-4717-8d50-07211a1bce47 · outbound

This paper cites Cacheblend: Fast large language model serving for rag with cached knowledge fusion.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Cacheblend: Fast large language model serving for rag with cached knowledge fusion

Reference 55

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source=pdf_text observed=2026-08-03T13:51:32.210095Z digest=sha256:6437f72ec564d6f453d4dc5f357ee9d18001eab49ac0c8c1daa571da8d1a7afc

Observation 74663c83-3687-4b64-a910-bbe0265a9aff · outbound

This paper cites Gpu-accelerated proximity graph approximate nearest neighbor search and construction.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Gpu-accelerated proximity graph approximate nearest neighbor search and construction

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:51:32.214125Z digest=sha256:657effd7764a3f5a257f511053eadc2841ff83de0d6ab24e7f1bbef9b83eff45

Observation 355cd659-fef3-41b5-9b4d-0e1d46d3b85b · outbound

This paper cites Pqcache: Product quantization-based kvcache for long context llm inference.Proceedings of the ACM on Management of Data, 3(3):1–30, 2025.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Pqcache: Product quantization-based kvcache for long context llm inference.Proceedings of the ACM on Management of Data, 3(3):1–30, 2025

Reference 57

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source=pdf_text observed=2026-08-03T13:51:32.218254Z digest=sha256:999bfe2c9726947b308b34eaa5346aab548871e9dcbf5e16d5c405a6460aab8d

Observation 7b998195-d9fb-438d-979b-d917534fc478 · outbound

This paper cites Uni- retriever: Towards learning the unified embedding based retriever in bing spon- sored search.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Uni- retriever: Towards learning the unified embedding based retriever in bing spon- sored search

Reference 58

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source=pdf_text observed=2026-08-03T13:51:32.222472Z digest=sha256:20b66b457f2e9401448291a8a3d016cde3451d64583d71a53234640e5ae80434

Observation 7517f8a1-265e-450a-8c9a-5b6fd18e3cd3 · outbound

This paper cites {VBASE}: Unifying online vector similarity search and relational queries via relaxed monotonicity.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search {VBASE}: Unifying online vector similarity search and relational queries via relaxed monotonicity

Reference 59

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source=pdf_text observed=2026-08-03T13:51:32.226825Z digest=sha256:bb468740f703f68169407054c12f3db481dca5cfd73623a35e65e3f85d066fa2

Observation 72604198-59de-440c-bf80-de9fc593df41 · outbound

This paper cites Fast vector query processing for large datasets beyond {GPU} memory with reordered pipelining.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Fast vector query processing for large datasets beyond {GPU} memory with reordered pipelining

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T13:51:32.231475Z digest=sha256:c9c427930b45f1940adbf63f8382b39986c7fc1368f8a5e658d919ce0ad34e80

Observation 7d6bcf29-da92-418d-af62-e89743f83067 · outbound

This paper cites Gts: Gpu-based tree index for fast similarity search.Proceedings of the ACM on Management of Data, 2(3):1–27, 2024.

OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search Gts: Gpu-based tree index for fast similarity search.Proceedings of the ACM on Management of Data, 2(3):1–27, 2024

Reference 61

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source=pdf_text observed=2026-08-03T13:51:32.235849Z digest=sha256:ba84cad1842813b35e400ff5b049e78174853ff7e39b4f9077ed01fdea7969ee

Pith citing papers

Observation 631119ec-ebbf-49d6-82d0-7759a1031b84 · inbound

Low-Latency Out-of-Core ANN Search in High-Dimensional Space cites this paper.

Low-Latency Out-of-Core ANN Search in High-Dimensional Space OrchANN: Hierarchical Orchestration for Skewed Out-of-Core Vector Search

Reference 34

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verified exact
arxiv_id, observed 2026-07-08T02:18:09.499591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:42:19.894756Z digest=sha256:8d824310f147a6059bec5527e95303179d10eb20e81640ad792fdeeecf345105