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Paper Citation Record · LEDGER

QASP: Query-Adaptive Robust Vector Search Policy

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.29606.

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

pith.paper-citation-record.v1
2607.29606 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:51:21.377403Z

measured 52 of 52 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 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

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 3abbaea9-4958-4e29-87cc-eabaa805dcb7 · outbound

This paper cites IVF-PQ index,.

QASP: Query-Adaptive Robust Vector Search Policy IVF-PQ index,

Reference 1

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Observation 53f96abc-2ad7-496a-9914-2312a82534f6 · outbound

This paper cites Guidelines to choose an index,.

QASP: Query-Adaptive Robust Vector Search Policy Guidelines to choose an index,

Reference 2

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Observation d30fb8b0-f7d9-4211-a9e0-6a488b6b8986 · outbound

This paper cites Choose the k-NN algorithm for your billion- scale use case with OpenSearch,.

QASP: Query-Adaptive Robust Vector Search Policy Choose the k-NN algorithm for your billion- scale use case with OpenSearch,

Reference 3

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Observation 5b534e9f-81ff-4d75-a566-fd3c8b10ac1a · outbound

This paper cites Improving approximate nearest neighbor search through learned adaptive early termination,.

QASP: Query-Adaptive Robust Vector Search Policy Improving approximate nearest neighbor search through learned adaptive early termination,

Reference 4

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Observation 72f1fc5b-8430-41d7-9fbe-9e1042a4c88b · outbound

This paper cites Quake: Adaptive indexing for vector search,.

QASP: Query-Adaptive Robust Vector Search Policy Quake: Adaptive indexing for vector search,

Reference 5

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Observation 2b369e36-084e-4a31-b8e9-425c07f6efb8 · outbound

This paper cites Vista: Vector indexing and search for large-scale imbalanced datasets,.

QASP: Query-Adaptive Robust Vector Search Policy Vista: Vector indexing and search for large-scale imbalanced datasets,

Reference 6

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Observation 62d9c080-94dd-4af9-a88e-4c9651e70328 · outbound

This paper cites Boosting accuracy and efficiency for vector retrieval with local scaling graph,.

QASP: Query-Adaptive Robust Vector Search Policy Boosting accuracy and efficiency for vector retrieval with local scaling graph,

Reference 7

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Observation 62184ba5-3dc9-4fcf-b961-92d1ffdcf215 · outbound

This paper cites Scaling laws for nearest neighbor search,.

QASP: Query-Adaptive Robust Vector Search Policy Scaling laws for nearest neighbor search,

Reference 8

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source=pdf_text observed=2026-08-03T01:51:16.453993Z digest=sha256:d299a27c2154f77f0b973a085eb71af21d1098308454202015dc732f35722cbf

Observation ad054d37-ca08-4020-b6c5-ecc078a033c5 · outbound

This paper cites Ap- proximate nearest neighbor searching in multimedia databases,.

QASP: Query-Adaptive Robust Vector Search Policy Ap- proximate nearest neighbor searching in multimedia databases,

Reference 9

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Observation 99a82a8f-827e-4272-9453-733c8b030f53 · outbound

This paper cites Vq-index: An index struc- ture for similarity searching in multimedia databases,.

QASP: Query-Adaptive Robust Vector Search Policy Vq-index: An index struc- ture for similarity searching in multimedia databases,

Reference 10

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source=pdf_text observed=2026-08-03T01:51:16.707202Z digest=sha256:978a31dbf8b91aa5f75cf011722195b1c7168bea2c31277edab33ab65eaa270d

Observation 14467af8-aa4a-4f94-bd4c-a8fa570c7bce · outbound

This paper cites Product quantization for nearest neighbor search,.

QASP: Query-Adaptive Robust Vector Search Policy Product quantization for nearest neighbor search,

Reference 11

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source=pdf_text observed=2026-08-03T01:51:16.880656Z digest=sha256:d474e30b27c75ff3404315da69758e2c49fc698892afc1e158aeecd2aa22abff

Observation ed2eb455-6ac9-46c9-8a1b-75e8ba9dd91f · outbound

This paper cites Spann: Highly-efficient billion-scale approximate nearest neighbor search,.

QASP: Query-Adaptive Robust Vector Search Policy Spann: Highly-efficient billion-scale approximate nearest neighbor search,

Reference 12

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Observation 19c05c7f-13dc-4c16-8dcf-5cdd26136911 · outbound

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

QASP: Query-Adaptive Robust Vector Search Policy Parlayann: Scalable and deterministic parallel graph-based approximate nearest neighbor search algorithms,

Reference 13

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Observation 942610a8-22cd-409e-a7f3-6b0a7b0ea93b · outbound

This paper cites Vexless: A serverless vector data management system using cloud functions,.

QASP: Query-Adaptive Robust Vector Search Policy Vexless: A serverless vector data management system using cloud functions,

Reference 14

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source=pdf_text observed=2026-08-03T01:51:17.139287Z digest=sha256:55a9153d3c311a1ffdf86a562301da67ceff0af5b22ae7824602161aaff7dd4b

Observation 43b7921d-9cca-4619-aead-049e27960143 · outbound

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

QASP: Query-Adaptive Robust Vector Search Policy Diskann: Fast accurate billion-point nearest neighbor search on a single node,

Reference 15

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source=pdf_text observed=2026-08-03T01:51:17.230739Z digest=sha256:50e7056bd4f5e0c5f35adfa2de48868a9fa6b03d91fe05a4a701610812a3b06b

Observation de62fc3b-c8b2-4ba5-a8e9-850d89e1793c · outbound

This paper cites SQUASH: Serverless and Distributed Quantization-based Attributed Vector Similarity Search.

QASP: Query-Adaptive Robust Vector Search Policy SQUASH: Serverless and Distributed Quantization-based Attributed Vector Similarity Search

Reference 16

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Observation eef3450d-762e-497e-bd16-87d881950e3d · outbound

This paper cites On the consistency of ordinal regression methods,.

QASP: Query-Adaptive Robust Vector Search Policy On the consistency of ordinal regression methods,

Reference 17

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Observation cde22806-ee34-42f3-a970-4c2cc2afbab7 · outbound

This paper cites On embeddings for numer- ical features in tabular deep learning,.

QASP: Query-Adaptive Robust Vector Search Policy On embeddings for numer- ical features in tabular deep learning,

Reference 18

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Observation 4f7b2aa5-a34e-4fe2-8922-cc83ab331faf · outbound

This paper cites Tabular data: Deep learning is not all you need,.

QASP: Query-Adaptive Robust Vector Search Policy Tabular data: Deep learning is not all you need,

Reference 19

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source=pdf_text observed=2026-08-03T01:51:17.491908Z digest=sha256:b13fd518f9f3a9d65b6959d6e7d83347aa213070fc4e722819f2d470537123f1

Observation 5406ad9b-0fc9-43e3-bc8e-8e901bfe3e9c · outbound

This paper cites Darth: Declara- tive recall through early termination for approximate nearest neighbor search,.

QASP: Query-Adaptive Robust Vector Search Policy Darth: Declara- tive recall through early termination for approximate nearest neighbor search,

Reference 20

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Observation f015b203-d686-4613-840f-fd7b3713b44c · outbound

This paper cites Revisiting batch normal- ization for practical domain adaptation,.

QASP: Query-Adaptive Robust Vector Search Policy Revisiting batch normal- ization for practical domain adaptation,

Reference 21

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Observation debcb999-848c-4a76-940b-533e7d5f4af8 · outbound

This paper cites The role of local dimensionality mea- sures in benchmarking nearest neighbor search,.

QASP: Query-Adaptive Robust Vector Search Policy The role of local dimensionality mea- sures in benchmarking nearest neighbor search,

Reference 22

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Observation a37dba86-6b0c-40dc-b8f2-00d55332edf8 · outbound

This paper cites On self-organizing sequential search heuristics,.

QASP: Query-Adaptive Robust Vector Search Policy On self-organizing sequential search heuristics,

Reference 23

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Observation 036f8e0b-8659-4bec-ab44-3d25b68b4bc8 · outbound

This paper cites Convergence of stochastic processes,.

QASP: Query-Adaptive Robust Vector Search Policy Convergence of stochastic processes,

Reference 24

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Observation 947a12e4-238e-4930-9b8c-d2248e4c7ea5 · outbound

This paper cites Institute of Mathematical Statistics, 1990.

QASP: Query-Adaptive Robust Vector Search Policy Institute of Mathematical Statistics, 1990

Reference 25

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Observation 081265d2-4108-4ab0-84d7-dfa47d569dda · outbound

This paper cites Learn- ability and the vapnik-chervonenkis dimension,.

QASP: Query-Adaptive Robust Vector Search Policy Learn- ability and the vapnik-chervonenkis dimension,

Reference 26

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Observation d29eab86-a313-4a20-99d7-5ba2890a5b13 · outbound

This paper cites A pac approach to application-specific algorithm selection,.

QASP: Query-Adaptive Robust Vector Search Policy A pac approach to application-specific algorithm selection,

Reference 27

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Observation fe8f49c9-20bc-4c38-bc7b-4335878cecb7 · outbound

This paper cites Data-driven algorithm design,.

QASP: Query-Adaptive Robust Vector Search Policy Data-driven algorithm design,

Reference 28

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Observation 2511f5fb-92dc-46fe-a23e-78af8174a6f3 · outbound

This paper cites On the uniform convergence of relative frequencies of events to their probabilities,.

QASP: Query-Adaptive Robust Vector Search Policy On the uniform convergence of relative frequencies of events to their probabilities,

Reference 29

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Observation ee8c47c1-fb00-42c6-b9c9-a63d702aa129 · outbound

This paper cites Anthony and P.

QASP: Query-Adaptive Robust Vector Search Policy Anthony and P

Reference 30

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Observation 6e1303bf-e246-4e65-a422-b9b62a2a8c2a · outbound

This paper cites Vapnik-chervonenkis dimension of neural nets,.

QASP: Query-Adaptive Robust Vector Search Policy Vapnik-chervonenkis dimension of neural nets,

Reference 31

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Observation 31d72d1d-f06a-45de-95d9-678c8c09a323 · outbound

This paper cites Bounding the vapnik-chervonenkis dimension of concept classes parameterized by real numbers,.

QASP: Query-Adaptive Robust Vector Search Policy Bounding the vapnik-chervonenkis dimension of concept classes parameterized by real numbers,

Reference 32

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Observation bbcba22a-7b2c-48d9-b48d-b79cc7fb8c81 · outbound

This paper cites Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks,.

QASP: Query-Adaptive Robust Vector Search Policy Polynomial bounds for vc dimension of sigmoidal and general pfaffian neural networks,

Reference 33

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Observation c3bdba21-0e8e-4e13-bf7f-3720ff139e8d · outbound

This paper cites Cover trees for nearest neighbor,.

QASP: Query-Adaptive Robust Vector Search Policy Cover trees for nearest neighbor,

Reference 34

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source=pdf_text observed=2026-08-03T01:51:19.309585Z digest=sha256:6d20f259ea0db670ab5072e1998619422e10e4df5d5387bb599a70f3d4d58ef9

Observation 09f2ae52-63b6-4768-89e3-fc20cc3b649a · outbound

This paper cites Multidimensional binary search trees used for associative searching,.

QASP: Query-Adaptive Robust Vector Search Policy Multidimensional binary search trees used for associative searching,

Reference 35

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source=pdf_text observed=2026-08-03T01:51:19.420007Z digest=sha256:c2821456606d463f31c1add79030f2913b9d1fb51e7f015a14aaa1d32a06b39f

Observation d9fc47a2-7041-441c-9a96-3bed742561fa · outbound

This paper cites Five balltree construction algorithms,.

QASP: Query-Adaptive Robust Vector Search Policy Five balltree construction algorithms,

Reference 36

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Observation 218e1f96-4515-4d84-a70f-eee2dee0cdc9 · outbound

This paper cites Approximate similarity retrieval with m-trees,.

QASP: Query-Adaptive Robust Vector Search Policy Approximate similarity retrieval with m-trees,

Reference 37

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Observation 48c9ef82-ead6-467e-a572-767a0ee3ddb3 · outbound

This paper cites Vector- approximation based indexing for non-uniform high dimensional data sets,.

QASP: Query-Adaptive Robust Vector Search Policy Vector- approximation based indexing for non-uniform high dimensional data sets,

Reference 38

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Observation bedd587a-59ca-4647-816c-8807e3f4449f · outbound

This paper cites Configure index parameters,.

QASP: Query-Adaptive Robust Vector Search Policy Configure index parameters,

Reference 39

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source=pdf_text observed=2026-08-03T01:51:19.885909Z digest=sha256:8fe6745e684ba062438523a0bc084d433dc0435858db343a7e651cd384ea38f5

Observation 4754a77d-adf9-4721-9b62-d2bee5f80d30 · outbound

This paper cites Autotune example,.

QASP: Query-Adaptive Robust Vector Search Policy Autotune example,

Reference 40

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source=pdf_text observed=2026-08-03T01:51:19.969505Z digest=sha256:f941f2e417471df74f5fcc5f6f596ee8dbc34647334a0758400158a7183d3aba

Observation c0245272-12f0-425a-bb85-39baab26a3a5 · outbound

This paper cites Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,.

QASP: Query-Adaptive Robust Vector Search Policy Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,

Reference 41

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source=pdf_text observed=2026-08-03T01:51:20.087913Z digest=sha256:1305aaa2efde8191c8ad80cd29f64af0ba2fadefba3a46faef825ab6c5205929

Observation 2e08e437-27b3-4fb6-926c-7f552e8bff45 · outbound

This paper cites Distribution-aware exploration for adaptive HNSW search,.

QASP: Query-Adaptive Robust Vector Search Policy Distribution-aware exploration for adaptive HNSW search,

Reference 42

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Observation 25b4ddac-a0b7-4a71-a2cb-c9ae4039ea1f · outbound

This paper cites Learned probing cardinality estimation for high-dimensional approximate NN search,.

QASP: Query-Adaptive Robust Vector Search Policy Learned probing cardinality estimation for high-dimensional approximate NN search,

Reference 43

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source=pdf_text observed=2026-08-03T01:51:20.286122Z digest=sha256:9515de2970ab651c6c0b32349755e93e97060b790bc25e4e4b595003dc9b4813

Observation d7b49944-4c8e-4b53-95c9-cd5ee74102e3 · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

QASP: Query-Adaptive Robust Vector Search Policy Distinctive image features from scale-invariant keypoints,

Reference 44

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source=pdf_text observed=2026-08-03T01:51:20.395151Z digest=sha256:02f4559b5de193aa82c6f479d64d056e45410b6006364bd3f1015c375aa644d9

Observation 980e6ded-2af1-4f73-8bb1-22b30e4b9847 · outbound

This paper cites Gradient-based learning applied to document recognition,.

QASP: Query-Adaptive Robust Vector Search Policy Gradient-based learning applied to document recognition,

Reference 45

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source=pdf_text observed=2026-08-03T01:51:20.476593Z digest=sha256:aed384e7cb90f03bd8c1dfaf8bfa57d93bf524d1d19edf7c68cd23422bf89f23

Observation a6f44cf2-5643-46bf-a3ab-c8d4f8fd7f35 · outbound

This paper cites Modeling the shape of the scene: A holistic representation of the spatial envelope,.

QASP: Query-Adaptive Robust Vector Search Policy Modeling the shape of the scene: A holistic representation of the spatial envelope,

Reference 46

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source=pdf_text observed=2026-08-03T01:51:20.602885Z digest=sha256:5acacbad209ed5d6eb580a1e45df6113b034fff3264a5688110e8143d9c7b5e6

Observation 72a8f878-63be-4ba0-a454-4cbaf3e1ba49 · outbound

This paper cites Efficient indexing of billion-scale datasets of deep descriptors,.

QASP: Query-Adaptive Robust Vector Search Policy Efficient indexing of billion-scale datasets of deep descriptors,

Reference 47

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source=pdf_text observed=2026-08-03T01:51:20.773083Z digest=sha256:321a8193eca1e8da5021bf9f5ed0b41f34cee1ec86515e95048fc8c63f52ebf5

Observation d0c57293-3440-4e90-9f9e-469faf0ccd8f · outbound

This paper cites Glove: Global vectors for word representation,.

QASP: Query-Adaptive Robust Vector Search Policy Glove: Global vectors for word representation,

Reference 48

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source=pdf_text observed=2026-08-03T01:51:20.937078Z digest=sha256:4b5fe0c70b5b9429fc4f023df28beb8279707cc60cfe794cae161fd735614604

Observation cbbd4965-cfab-4692-b2b8-33aca08ab49a · outbound

This paper cites Microsoft coco: Common objects in context,.

QASP: Query-Adaptive Robust Vector Search Policy Microsoft coco: Common objects in context,

Reference 49

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source=pdf_text observed=2026-08-03T01:51:21.094971Z digest=sha256:f2171061c275c719dc78fa95033b18c2fb0aafa03ba39f937cd149ebd93e642a

Observation aecb41dd-ad63-4a1b-af49-39fb0bf64909 · outbound

This paper cites Deep learning using rectified linear units (relu),.

QASP: Query-Adaptive Robust Vector Search Policy Deep learning using rectified linear units (relu),

Reference 50

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source=pdf_text observed=2026-08-03T01:51:21.154770Z digest=sha256:3fda5d6f7ee7dd45d830a62a98227acb7bcaa9c7855293c3d5efb8910669c6ff

Observation 68109658-29cd-4b5d-9de5-de5f915fc47c · outbound

This paper cites k-means++: the advantages of careful seeding,.

QASP: Query-Adaptive Robust Vector Search Policy k-means++: the advantages of careful seeding,

Reference 51

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source=pdf_text observed=2026-08-03T01:51:21.226794Z digest=sha256:61de097d22cc998ce8769f0f1fe30a49ac7d04c8a614498f3a2b989729fdee89

Observation cfcb2b68-8dc3-44d3-b2e8-566c687b1933 · outbound

This paper cites A unified approach to interpreting model predictions,.

QASP: Query-Adaptive Robust Vector Search Policy A unified approach to interpreting model predictions,

Reference 52

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source=pdf_text observed=2026-08-03T01:51:21.377403Z digest=sha256:5320434b651be8da5b9e2a2d76a44a7ad51f48a21ff0bdab04c28f21fe94a715

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