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Paper Citation Record · LEDGER

QASP: Query-Adaptive Robust Vector Search Policy

As of 22 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 2026-08-22T06:32:14.747728+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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source=pdf_text observed=2026-08-03T01:51:15.575358Z digest=sha256:677d457a18d59946d3dffdccc475a273de383bad33ec0597acc125f630920d34

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=sha256:02173d4c4d581e871a8861d453479c11817505204869c306646ab20fc1af8beb

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=sha256:3762a152f08992c86cfb7e64019aa89c7fa2a0b95adeda36b718abaae1eee34f

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:f847cce6b4f6f89e5d6170171788d5abbadc76e9c9eec2b4c4f45d481728f0de

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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source=pdf_text observed=2026-08-03T01:51:16.962028Z digest=sha256:9c07264b941215f492cf16670421154f18fafeb8365ac024faf0318540318d44

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=sha256:3348789ecbf08c65cf9551201ca9162b3c63064a35c316b2f3997dec96c36e88

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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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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source=pdf_text observed=2026-08-03T01:51:17.300935Z digest=sha256:62a86481c2b875d1dc28eff297b325ae91d6ed7c10f90010f194e3c4257e695b

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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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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source=pdf_text observed=2026-08-03T01:51:19.115549Z digest=sha256:4d4e3cdafd52ff1718cedd6396a51435b587d069e3b50f4101c5f85bf58fefd7

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:a50d1ff93bb9d31dc4ecc0720e0468a5a554027d3eb5c53a15bd9e1cd6203ecd

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=sha256:6ed4298031db66e11706ef923da98b9f52a9ac7b21d3d185d16d53960e5cdbb0

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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source=pdf_text observed=2026-08-03T01:51:19.569216Z digest=sha256:9b27b21a2f40f2d98efc03ef1eb1b41568083afae21578eb9d9e75417c91b2bd

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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source=pdf_text observed=2026-08-03T01:51:19.782522Z digest=sha256:7fb98f14bdc7ed21eb446c6691302c1d6cdd111170a05107615da3c6a79fcf42

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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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:f5dbc4114178066994c64b656c1fce022036c256a38895ce81afa4feda1a8c66

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=sha256:0d8ad6ccf1bff7c31a74fb462bbc14a4d790bac4c22764b19c91f0e302180958

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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source=pdf_text observed=2026-08-03T01:51:20.204178Z digest=sha256:7fb04bde089648538e846763304798318be4c496a230f116bd6cf5b975848864

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=sha256:06aefd96a1a8e4afd1a9fe0dedfc09c57ebf1fcd2332835bade322c71df94eaf

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:b33a5b8e3937c2a20c38f860417e3b88cc759ee8f4aacea6c65c22c73aa8e0a1

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:bb295a80947a53bf8ed5dc0bb93b72d7713d70f7b72e589c549fc7a9bc49e188

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=sha256:2002c0c1383fe1976b65f96e6780d71217be36d5599aed0e81806b3b729806c6

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:f4b39308597dcc4bb5a3bfa89703f96fc79d09b89ecdaddb909e3830da6d2ae8

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=sha256:7a8eaf53c94da86f6d346a360a33b17755bcfbb092fc204e6938638cece3120a

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:e5f823d1a247052c242f917c7a90d3f4c3d4816d96e0a1d3c0e93348f897a821

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:fec75cc6a786469b639e3e4daa0a689c84f96695392d9b7c865b4e46abffc33f

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=sha256:3cdfcd32fa95dcbd8134b082f6d00196e56217458baba45a9bcb0d1921e819f6

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=sha256:6e41a9ce49dc9883a374ea29721254e7ccf421b275f0c0f9f0fbb3e0d4abc3c8

Pith citing papers

No inbound Pith citation observations are available.