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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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
  • metadata mismatch0

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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source=pdf_text observed=2026-08-03T13:51:31.948575Z digest=sha256:2a1e15cbc115f57e1efdc83c4a7c6d3c0ad66fdb2cbef258d09e32b227b1eddb

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=sha256:26af75ca797b2d73a8f70c2fc5dfbd7b2eca5197167511ec9acef3e199112379

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:a5a75ce398248168d23547c11fc5d0fb52218f8fdffb9d303d34b37075b223cb

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=sha256:577a849204d4eb92324fc7b1bdbdc34d40e02e5c7516f8d68175fd2d243c9905

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:fd2898c19ebfd950210403a2e959a1789f349582f525e61c941bff9c8734e4da

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=sha256:077508c03948cce200e7c991ca8117c63797f3624918c61b918c6465d58fce3a

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=sha256:14feb8e31b70b3a2c13c764fc24df381a3e3432292ea857847ba6384ab49e268

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:e73aba67af6c2ba0a8df029ab7a2e157aeb664ccd3e62f1b00a59df63b918425

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:b1cd11c48201cbf9baac025ca95e10f7fd54eb5e08291d8a02aec2d720100d46

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=sha256:4e026d1770edc711ae8d7f51b8e0aa4f810121f5fe8d23007207e6ca51447cdb

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:f84e866f90fa6f4af17811a52bd699df3db0c32a0f70907342f90b5f9d5d463e

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:f61c5dcdb40cd760c8288912255b4eaebda521e3955d58659ee3da4cbc84cf9f

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:a5b90641d486e76927899d64d90e712c31c28fffe3be81577c49c5eac72bf0d5

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=sha256:1cb4d23b31980767f21cb9ff2a68a6c2f2ca0219859000f7825acb0fd6afdd00

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=sha256:74962ea9cc9d23fdb56e052dd308dde99c41ec8f62e5726d0efe458a60b547ca

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=sha256:91b7a16e3da16d34eb066b6968c223b04f35dc836beaa0856f13134e8b92402d

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=sha256:0a29d3b64b8d501e12c127a7013108b0081ead047b32a04ca0669a8ea725014a

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:bfe8d68289d1c38c4849d0279b1fccc07742c8a7b678658f1e19131dbc439d4c

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:e5e2c58d5343b9a4ece5eac79a0f7a96f4f2ebe82e11f557f0d4d4e950f68ffe

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=sha256:76b10f1b0c1bfb42ce207514c4edc144dbd4ec58016c384f83f8b4c67d60aced

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=sha256:742513bde790feadff350ac1b927d22c74e60e58e698cecbc1fe04a49b652773

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:fdfc06a450a371191493954e4704ff70fc8ded409b3a2e8dc46692bd8c19731d

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=sha256:1ce41c358c4836567f37c3a55d3425ebd47ff27613b4c3e3086f01a11a1c1ebf

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:e70e5964c2abf06c012acdc21b40ca7b8139fc3656889d5a109da15f5c93e003

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:bd29b4ad43410b76b0814f789af95e01856905e5fd076e30f7becc4fdf5cc06c

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=sha256:1d92f77d5f19cd017ef8d65b3eb0cbc2a95c92e259267cf3d239037eab94a0d5

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:d3a5f2ab2f7db3ad2fa342069a6ccfa4c7ac7041a33a3989979e5414c26e1970

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:a56b9ee6277ed6e460d9f8079c92ebb5a1598c7d164c59184a0524413a5d8f2d

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=sha256:07da76f6b4807e6662654a5a100b392f4ccb5f2486f45bda2c28980350eb4a5d

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=sha256:3daf7983110d6dd5b4e08a4c343d2a11d37eb2fbcba17f310f2e2704e23e908a

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=sha256:4bb1f5887adc0ab016260d1c9cbd0af56f956c788448279561407e39c4cca7aa

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:d1cbc9a172633d198fd3dc07282835b1ac01a18a300ea6da954deb393c2b8b89

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=sha256:915f7271ee335170a96fc9695a45faafee7f81da9191dba016521e1a98553073

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=sha256:9cc54d46de30d12f01096dc5d9397beb1e0a2cf28e962c98f143cd08855dc13d

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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source=pdf_text observed=2026-08-03T13:51:32.128007Z digest=sha256:6e6e040fbe334a71a31bbfe13f4227d430c7fb32bbcbb027df6edb19d57f3556

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=sha256:8c181b1561168c518b4ae7f6690a880ace0d2dbff796a794d44205dd63b03e28

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=sha256:4aa8279a24776c577d1138d088b2fbec08d37c315b935563a38ae017cc8a55b3

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=sha256:1953f8ad84e0bd5d75bd3406324d643a140fc2e6f2cb136c0892d04796885dfc

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:a36c2bced6508998706aa15305cbfc552c5000bdd050d44fc5f7cdfa3e538cb7

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=sha256:6c59b2965bb0e5dce97ef2b20694c87b617f05a981a740da7ac3e622499a26d3

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:a287d6f5d0d72c69f18434cca26c2fb93b260a2cb3ff626ccd37abb8ebf67810

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=sha256:239c2a805e0a9199176dc974ccf63f4cd46dcf8f712fc674b8f6b1862061f7bb

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=pdf_text observed=2026-08-03T13:51:32.163000Z digest=sha256:97b36bdd4d60f7b010be1086c3d8ebc062a7423cb36e880fc3ba395d9eed0f67

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:d63d7c0d48af9b15f95b0bcd5db19483f88e1c8daf9a4c6ad3a491565c5f63cb

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=sha256:86f0f96dac35c1727d44d67533af5e2635e209e2492b0dd4a5539795b1241c6c

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=sha256:65a0e130b46bb9671d54ae26d4ed4012a99cae2b41c9884b5df7d162d674692a

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=sha256:63875f42ac45a91716546b72e75bb19e09f3e74aad98a4666da92254eafa3c81

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:ae3a991191d502894eb73c55e561f4d6544235f5b70ccedbaaca88459df1d2ad

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=sha256:6508a0f2f16120ab831cfc8abc0fb595d35a158b65b4134c010c5e6f0d30ae89

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:b509ebd5cb1ea6945ca6e8a39ff6018b514a4a0fca0f558d34ea204c6853f2c0

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=sha256:2ec3d3b91a56b44cbd3115ed69bbb1f2dd4fd53494caa79324b444802e1efaeb

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:b6c4430ed2bf322ab4d0289f5d7c8ac188a704257517166bed1bee6080a39028

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=sha256:49fb7dde87716166abda6fa4c9ab6f5386a35629f7b7cfe766f1cc3a7cfd8808

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:e19c5526131b9dd90259fafcfe9599929e19901529a9d6b4c496b74bfe198843

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

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source=pdf_text observed=2026-08-03T13:51:32.214125Z digest=sha256:7aab163962cb03887e597d1331e5d5e39b88f56246f435b8090fca51f9a8f925

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:b306ac5cee8dd857ff73bade467db180fb949603766361ce20913e1d510bb22f

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=sha256:90a1ce48e9fa15e4943b5d811196d6ea3ca567e7ace2f156a4c44ae672d276a8

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=sha256:86bd1618a5531e5826356cb72988ad2617c35fe30f1be296a45f63643dc69feb

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=pdf_text observed=2026-08-03T13:51:32.231475Z digest=sha256:4a5e26a91c8a096e6677d5a4f13e172d5c25bcc8fc113fc03616b7a261f664cc

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=sha256:05f26d12f31ea2df74b5431c75c6b59227bffdb5a0bdeeaa1442b89dd9da6621

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:42:19.894756Z digest=sha256:b820179a3875912c4d2fc0449a5cd65d0d443fb0b4076fcf95ba3652c2e4a8e3