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Paper Citation Record · LEDGER

On the Merge of k-NN Graph

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:1908.00814.

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

pith.paper-citation-record.v1
1908.00814 v6

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:37:36.654678Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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  • verified fuzzy44
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 510d8946-7e30-49ad-8315-c61533e9af8e · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction,.

On the Merge of k-NN Graph A global geometric framework for nonlinear dimensionality reduction,

Reference 1

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Observation f43ca80b-d49a-4688-b2b6-22c41fb24f79 · outbound

This paper cites Report nonlinear dimensionality re- duction by locally linear embedding,.

On the Merge of k-NN Graph Report nonlinear dimensionality re- duction by locally linear embedding,

Reference 2

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Observation ee8488ca-ed2b-4fa3-8c79-347874fd07cb · outbound

This paper cites A survey on large- scale machine learning,.

On the Merge of k-NN Graph A survey on large- scale machine learning,

Reference 3

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Observation 098a2d41-8f7d-48e7-9073-0c3dec6f1352 · outbound

This paper cites Fast graph construction using auction algo- rithm,.

On the Merge of k-NN Graph Fast graph construction using auction algo- rithm,

Reference 4

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Observation 6cea0fce-60d9-4f10-a1af-57aa938bd7a3 · outbound

This paper cites Efficient k-nearest neighbor graph construction for generic similarity measures,.

On the Merge of k-NN Graph Efficient k-nearest neighbor graph construction for generic similarity measures,

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 2cf9d88d-ad45-42dc-b61a-8b4c6b7d088e · outbound

This paper cites EFANNA : An extremely fast approximate nearest neighbor search algorithm based on knn graph,.

On the Merge of k-NN Graph EFANNA : An extremely fast approximate nearest neighbor search algorithm based on knn graph,

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 68e390e5-b15f-4dc9-8cbc-29f2b5682015 · outbound

This paper cites Fast approximate knn graph construction for high dimensional data via recursive lanczos bisec- tion,.

On the Merge of k-NN Graph Fast approximate knn graph construction for high dimensional data via recursive lanczos bisec- tion,

Reference 7

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Source-reported events for the cited work

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Observation 3cfcc367-7b4a-40da-a5cd-1f1ab4864f3b · outbound

This paper cites Scalable k-nn graph construction for visual descriptors,.

On the Merge of k-NN Graph Scalable k-nn graph construction for visual descriptors,

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 4b0730f3-60f5-4a0d-9649-c3ef7cbf8239 · outbound

This paper cites Fast knn graph construction with locality sensitive hashing,.

On the Merge of k-NN Graph Fast knn graph construction with locality sensitive hashing,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6efcdb7e-9785-4629-ba01-345214fcac07 · outbound

This paper cites Fast approximate nearest-neighbor search with k-nearest neighbor graph,.

On the Merge of k-NN Graph Fast approximate nearest-neighbor search with k-nearest neighbor graph,

Reference 10

Resolution
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Source-reported events for the cited work

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Observation cf923946-ab1a-449a-a66a-4f5ec64e5b53 · outbound

This paper cites Being prepared in a sparse world: the case of KNN graph construction,.

On the Merge of k-NN Graph Being prepared in a sparse world: the case of KNN graph construction,

Reference 11

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Source-reported events for the cited work

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Observation a7c84887-2232-4c38-b5ae-7a80cc5828c4 · outbound

This paper cites Ap- proximate nearest neighbor algorithm based on navigable small world graphs,.

On the Merge of k-NN Graph Ap- proximate nearest neighbor algorithm based on navigable small world graphs,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d3e0bc94-46fd-43e8-b808-409ebb36da78 · outbound

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

On the Merge of k-NN Graph Efficient and robust approx- imate nearest neighbor search using hierarchical navigable small world graphs,

Reference 13

Resolution
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Source-reported events for the cited work

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Observation ab3cc796-fad7-459a-9e13-2255e02096d6 · outbound

This paper cites Multidimensional binary search trees used for as- sociative searching,.

On the Merge of k-NN Graph Multidimensional binary search trees used for as- sociative searching,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation ce32faae-dd2a-4c6e-9dfe-d7e3d90d4103 · outbound

This paper cites R-trees: A dynamic index structure for spatial searching,.

On the Merge of k-NN Graph R-trees: A dynamic index structure for spatial searching,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 91a6bca8-dd12-4958-bdc4-f2fd4ea9d4f6 · outbound

This paper cites The x-tree : An index structure for high-dimensional data,.

On the Merge of k-NN Graph The x-tree : An index structure for high-dimensional data,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e1d5155f-c86b-4fcd-9319-b94f1707bd54 · outbound

This paper cites NV- tree: An efficient disk-based index for approximate search in very large high-dimensional collections,.

On the Merge of k-NN Graph NV- tree: An efficient disk-based index for approximate search in very large high-dimensional collections,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf29ffc0-1378-48eb-a45e-ea67d4d4d8d3 · outbound

This paper cites Trinary-projection trees for approximate nearest neighbor search,.

On the Merge of k-NN Graph Trinary-projection trees for approximate nearest neighbor search,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 8c1ecf3a-621f-4686-9e9d-da556eed1dcd · outbound

This paper cites Scalable nearest neighbor algorithms for high dimensional data,.

On the Merge of k-NN Graph Scalable nearest neighbor algorithms for high dimensional data,

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 507006d6-951f-41dd-ac7b-75daa045f8a4 · outbound

This paper cites Optimised kd-trees for fast image descriptor matching,.

On the Merge of k-NN Graph Optimised kd-trees for fast image descriptor matching,

Reference 20

Resolution
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Source-reported events for the cited work

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Observation ad141412-78f6-4b1a-9677-6a68aceb81e7 · outbound

This paper cites Approximate nearest neighbor search by residual vector quantization,.

On the Merge of k-NN Graph Approximate nearest neighbor search by residual vector quantization,

Reference 21

Resolution
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Source-reported events for the cited work

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Observation f182148f-8c5e-45a2-b49b-d9314bffdeea · outbound

This paper cites Product quantization for nearest neighbor search,.

On the Merge of k-NN Graph Product quantization for nearest neighbor search,

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 2121bb96-6e44-4544-b767-4745e422c05e · outbound

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

On the Merge of k-NN Graph Efficient indexing of billion-scale datasets of deep descriptors,

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 094597bf-583c-47f2-a11b-12cbebc6294e · outbound

This paper cites Composite quantization for ap- proximate nearest neighbor search,.

On the Merge of k-NN Graph Composite quantization for ap- proximate nearest neighbor search,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 7cd37fc5-e10c-4a1d-8868-7c7552fbedfd · outbound

This paper cites Locality- sensitive hashing scheme based on p-stable distributions,.

On the Merge of k-NN Graph Locality- sensitive hashing scheme based on p-stable distributions,

Reference 25

Resolution
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Source-reported events for the cited work

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Observation e0b04bef-68ff-434b-8c63-8c0bc4a64786 · outbound

This paper cites Multi-probe lsh: Efficient indexing for high-dimensional similarity search,.

On the Merge of k-NN Graph Multi-probe lsh: Efficient indexing for high-dimensional similarity search,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e9b08152-cf6f-4c75-bd5f-71ae944fd59a · outbound

This paper cites Supervised hashing with kernels,.

On the Merge of k-NN Graph Supervised hashing with kernels,

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b2e371a7-9aa3-451e-acef-3168bd91e9b2 · outbound

This paper cites Locality- sensitive hashing scheme based on p-stable distributions,.

On the Merge of k-NN Graph Locality- sensitive hashing scheme based on p-stable distributions,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e455ab8-989d-40a8-a7fc-967207aaee56 · outbound

This paper cites A survey on learning to hash,.

On the Merge of k-NN Graph A survey on learning to hash,

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 544f9a4b-75b2-438f-9a69-e26324288e2d · outbound

This paper cites Query-driven iterated neighborhood graph search for large scale indexing,.

On the Merge of k-NN Graph Query-driven iterated neighborhood graph search for large scale indexing,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c992c9d1-3f4b-4be7-9ed8-5996f071296a · outbound

This paper cites Ap- proximate nearest neighbor search on high dimensional data- experiments, analysis and improvement,.

On the Merge of k-NN Graph Ap- proximate nearest neighbor search on high dimensional data- experiments, analysis and improvement,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4730bee3-ee79-43bd-a5f2-69f1a2ec0c49 · outbound

This paper cites Approximate k-NN Graph Construction: a Generic Online Approach.

On the Merge of k-NN Graph Approximate k-NN Graph Construction: a Generic Online Approach

Reference 32

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Source-reported events for the cited work

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Observation d8ad37b0-5ad3-43e6-bbd0-56cab3a9ad86 · outbound

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

On the Merge of k-NN Graph Fast approximate nearest neighbor search with the navigating spreading-out graph,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e56856cf-5f90-4e6e-9429-ff4a93392a8f · outbound

This paper cites Hierarchical clustering-based graphs for large scale approximate 15 nearest neighbor search,.

On the Merge of k-NN Graph Hierarchical clustering-based graphs for large scale approximate 15 nearest neighbor search,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dbd7b118-601f-4113-9ad5-9ad8ed065688 · outbound

This paper cites FANNG: Fast approximate near- est neighbour graphs,.

On the Merge of k-NN Graph FANNG: Fast approximate near- est neighbour graphs,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:37:36.867484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 99cfcf38-4a03-48aa-9899-01eca48ba056 · outbound

This paper cites Maximum likelihood estimation of intrinsic dimension,.

On the Merge of k-NN Graph Maximum likelihood estimation of intrinsic dimension,

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7b827475-903a-40cb-a303-390af454d7ac · outbound

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

On the Merge of k-NN Graph Distinctive image features from scale-invariant key- points,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3e5768ea-f62f-44d4-9cb6-71c3b01bfd00 · outbound

This paper cites ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms,.

On the Merge of k-NN Graph ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5c238d26-fd6f-4939-a44c-3cf293708ea1 · outbound

This paper cites Video google: A text retrieval approach to object matching in videos,.

On the Merge of k-NN Graph Video google: A text retrieval approach to object matching in videos,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 21ebcb3c-5956-4c59-b474-608cc0370496 · outbound

This paper cites Evaluation of GIST descriptors for web-scale image search,.

On the Merge of k-NN Graph Evaluation of GIST descriptors for web-scale image search,

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e36fd424-918b-4694-8258-ec1eafad286b · outbound

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

On the Merge of k-NN Graph Glove: Global vectors for word representation,

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 770cd3f0-8fd6-4aef-8fb7-2bd771da1078 · outbound

This paper cites YFCC100M hybridnet fc6 deep features for content-based image retrieval,.

On the Merge of k-NN Graph YFCC100M hybridnet fc6 deep features for content-based image retrieval,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2bb89d54-aca2-4080-9999-0e619030f70c · outbound

This paper cites an unresolved cited work.

On the Merge of k-NN Graph Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:37:36.758482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 399f8e90-1f2d-4e09-b951-8a1fa26dafb9 · outbound

This paper cites SRS: solving c-approximate nearest neighbor queries in high dimensional eu- clidean space with a tiny,.

On the Merge of k-NN Graph SRS: solving c-approximate nearest neighbor queries in high dimensional eu- clidean space with a tiny,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:37:36.745473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 11c27117-357f-4243-82bf-6a0e298ff196 · outbound

This paper cites Annoy: approximate nearest neighbors in C++/Python optimized for memory usage and loading/saving to disk,.

On the Merge of k-NN Graph Annoy: approximate nearest neighbors in C++/Python optimized for memory usage and loading/saving to disk,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:37:36.731304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf2f371b-1b91-4409-b85f-b4e6f8825eec · outbound

This paper cites OpenMP: open multiprocessing.

On the Merge of k-NN Graph OpenMP: open multiprocessing

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:37:36.716968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e6bb3429-524b-4877-995f-f5451db44eb8 · outbound

This paper cites Graph based Nearest Neighbor Search: Promises and Failures.

On the Merge of k-NN Graph Graph based Nearest Neighbor Search: Promises and Failures

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T15:37:36.654678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.