Paper Citation Record · LEDGER

Dynamic Similarity Graph Construction with Kernel Density Estimation

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.01696.

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

pith.paper-citation-record.v1
2507.01696 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:20.278843Z

measured 51 of 51 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

51 of 51 outbound references displayed

verified exact4
verified fuzzy34
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93615de8-1134-4317-a98a-bbf2c5b753cf · outbound

This paper cites write newline.

Reference 1

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Observation 3d9c522e-3ecf-4ab6-93c0-e3a9f7be6092 · outbound

This paper cites @esa (Ref.

Reference 2

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Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Reference 3

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Observation 77ef8a74-866a-42ee-98ec-d8dc1caa00b0 · outbound

This paper cites Hoory and Linial and Wigderson.

Dynamic Similarity Graph Construction with Kernel Density Estimation Hoory and Linial and Wigderson

Reference 4

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This paper cites and Indyk, P.

Reference 5

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Observation 9e69558c-be53-41af-b115-e9b16dd757b7 · outbound

This paper cites Efficient density evaluation for smooth kernels.

Dynamic Similarity Graph Construction with Kernel Density Estimation Efficient density evaluation for smooth kernels

Reference 6

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Observation 968861d2-36b8-4d47-87ef-8fe9c407e10d · outbound

This paper cites Subquadratic algorithms for kernel matrices via kernel density estimation.

Dynamic Similarity Graph Construction with Kernel Density Estimation Subquadratic algorithms for kernel matrices via kernel density estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:21.248889Z

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Observation 417b8c96-1667-4d01-ba13-705be1099e68 · outbound

This paper cites P., Whitman, B., and Lamere, P.

Dynamic Similarity Graph Construction with Kernel Density Estimation P., Whitman, B., and Lamere, P

Reference 8

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Reference 9

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Observation 42ffa6e0-1b67-4975-ae36-505b9c4a2248 · outbound

This paper cites and Siminelakis, P.

Reference 10

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This paper cites and Siminelakis, P.

Reference 11

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Observation 627dabd2-c147-45d0-b852-819f6d744a28 · outbound

This paper cites Kernel density estimation through density constrained near neighbor search.

Dynamic Similarity Graph Construction with Kernel Density Estimation Kernel density estimation through density constrained near neighbor search

Reference 12

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Observation f9882165-97de-4392-8059-14ab2ebb9786 · outbound

This paper cites A quasi-monte carlo data structure for smooth kernel evaluations.

Dynamic Similarity Graph Construction with Kernel Density Estimation A quasi-monte carlo data structure for smooth kernel evaluations

Reference 13

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Observation 069f2b1e-735e-4511-9152-958438a6d91d · outbound

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Reference 14

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Observation a658f267-f2f7-4dee-ae40-91ee5a705781 · outbound

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Reference 15

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Observation 5b9ebdad-97e7-435c-8a90-1a47c3e7cabb · outbound

This paper cites Dynamic kernel sparsifiers.

Reference 16

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Observation 6ee47abc-3884-4b34-a3fc-db46a6694066 · outbound

This paper cites Efficient eigen-updating for spectral graph clustering.

Dynamic Similarity Graph Construction with Kernel Density Estimation Efficient eigen-updating for spectral graph clustering

Reference 17

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Observation a06b20b3-2a68-4baf-8748-13bf9f77fac4 · outbound

This paper cites R., Perone-Pacifico, M., Verdinelli, I., and Wasserman, L.

Dynamic Similarity Graph Construction with Kernel Density Estimation R., Perone-Pacifico, M., Verdinelli, I., and Wasserman, L

Reference 18

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Observation 711df69c-8c1d-4412-a639-0ce5a984ab3c · outbound

This paper cites J., and Smeulders, A.

Reference 19

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Observation 986129f2-2b9c-4bbe-9426-2c5c9175b1ee · outbound

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Reference 20

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Observation 12bbb834-9a9e-4324-ad4d-58425e42aada · outbound

This paper cites and Strain, J.

Reference 21

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Observation 7462bcb4-2d36-42c0-a03f-9ea0106a1e3b · outbound

This paper cites Deep residual learning for image recognition.

Dynamic Similarity Graph Construction with Kernel Density Estimation Deep residual learning for image recognition

Reference 22

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Observation 3424cb6f-a9db-4ff1-99ee-d788a0fcdf2f · outbound

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Reference 23

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Observation 4da7ca85-459f-4e23-be2d-ff6bd7ad66f1 · outbound

This paper cites Deann: Speeding up kernel-density estimation using approximate nearest neighbor search.

Dynamic Similarity Graph Construction with Kernel Density Estimation Deann: Speeding up kernel-density estimation using approximate nearest neighbor search

Reference 25

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Observation 515f7ab3-a10c-4948-8d85-43d0f27cf87b · outbound

This paper cites A., Starosta, B., and Wierzcho \'n , S.

Dynamic Similarity Graph Construction with Kernel Density Estimation A., Starosta, B., and Wierzcho \'n , S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:20.951800Z

Source-reported events for the cited work

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Observation aea88283-a6a9-4322-8bbf-e99608044a8c · outbound

This paper cites Learning multiple layers of features from tiny images.

Dynamic Similarity Graph Construction with Kernel Density Estimation Learning multiple layers of features from tiny images

Reference 27

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Source-reported events for the cited work

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Observation bdbbfc54-e131-43a2-a3c2-8e7f15ad4640 · outbound

This paper cites and Sun, H.

Reference 28

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Observation bd1899ca-8ef2-4912-8456-1d6592056be5 · outbound

This paper cites Detecting the overlapping and hierarchical community structure in complex networks.

Dynamic Similarity Graph Construction with Kernel Density Estimation Detecting the overlapping and hierarchical community structure in complex networks

Reference 29

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Source-reported events for the cited work

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Observation 82773c0a-ad15-4407-99a5-49e60226d1ce · outbound

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Dynamic Similarity Graph Construction with Kernel Density Estimation Gradient-based learning applied to document recognition

Reference 30

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Observation dbe606b6-deb7-42b9-84c4-fc877aebfc91 · outbound

This paper cites R., Oveis Gharan, S., and Trevisan, L.

Dynamic Similarity Graph Construction with Kernel Density Estimation R., Oveis Gharan, S., and Trevisan, L

Reference 31

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Observation 86cb5db4-302f-42a4-bc4b-ffe4b73fa3ba · outbound

This paper cites Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory.

Reference 32

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This paper cites and Sun, H.

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Observation 2cad1104-71d4-4476-a7e3-c4afaecd630e · outbound

This paper cites Fast approximate spectral clustering for dynamic networks.

Dynamic Similarity Graph Construction with Kernel Density Estimation Fast approximate spectral clustering for dynamic networks

Reference 34

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Observation 4228a3ad-af3f-4d0a-ad22-bae877936bbe · outbound

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Reference 37

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Observation ab879500-0a11-4f71-9517-0088d3cb0efc · outbound

This paper cites Incremental spectral clustering with application to monitoring of evolving blog communities.

Dynamic Similarity Graph Construction with Kernel Density Estimation Incremental spectral clustering with application to monitoring of evolving blog communities

Reference 38

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Observation cd415286-773e-43f7-bc4d-3cf8f9b1dded · outbound

This paper cites Scikit-learn: Machine learning in P ython.

Dynamic Similarity Graph Construction with Kernel Density Estimation Scikit-learn: Machine learning in P ython

Reference 39

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This paper cites Partitioning Well - Clustered Graphs : Spectral Clustering Works ! SIAM Journal on Computing, 46 0 (2): 0 710--743, 2017.

Dynamic Similarity Graph Construction with Kernel Density Estimation Partitioning Well - Clustered Graphs : Spectral Clustering Works ! SIAM Journal on Computing, 46 0 (2): 0 710--743, 2017

Reference 40

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Observation f3eb6433-f47a-4438-afb0-97b990c07668 · outbound

This paper cites Spectral sparsification of metrics and kernels.

Dynamic Similarity Graph Construction with Kernel Density Estimation Spectral sparsification of metrics and kernels

Reference 43

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Observation 59e544ad-86d8-4acc-a3f4-a2ffc7a55fbd · outbound

This paper cites Generalized outlier detection with flexible kernel density estimates.

Dynamic Similarity Graph Construction with Kernel Density Estimation Generalized outlier detection with flexible kernel density estimates

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:20.647529Z

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This paper cites and Zanetti, L.

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Dynamic Similarity Graph Construction with Kernel Density Estimation A tutorial on spectral clustering

Reference 49

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Observation 72fc0cf3-6a3d-4e76-bb83-e57af25ee304 · outbound

This paper cites Incremental multi-view spectral clustering.

Dynamic Similarity Graph Construction with Kernel Density Estimation Incremental multi-view spectral clustering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:20.568152Z

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

Pith citing papers

No inbound Pith citation observations are available.