Paper Citation Record · LEDGER

Simultaneous Clustering and Optimization for Evolving Datasets

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.01384.

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

pith.paper-citation-record.v1
1908.01384 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:33.042352Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy25
unresolved1
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19aef76e-5c5c-4aeb-9303-ae0a7e482081 · outbound

This paper cites Network lasso: Clustering and optimization in large graphs.

Simultaneous Clustering and Optimization for Evolving Datasets Network lasso: Clustering and optimization in large graphs

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.592136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation def72bd4-4170-457b-be61-c7d8aa8266a9 · outbound

This paper cites Trian- gle lasso for simultaneous clustering and optimization in graph datasets,.

Simultaneous Clustering and Optimization for Evolving Datasets Trian- gle lasso for simultaneous clustering and optimization in graph datasets,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.537844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c2218a1-3ca2-4b46-8576-f31486305058 · outbound

This paper cites Least squares quantization in pcm,.

Simultaneous Clustering and Optimization for Evolving Datasets Least squares quantization in pcm,

Reference 3

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Source-reported events for the cited work

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Observation fbfb6977-761c-4a19-befc-988c87a92b46 · outbound

This paper cites Convergence properties of the k- means algorithms,.

Simultaneous Clustering and Optimization for Evolving Datasets Convergence properties of the k- means algorithms,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.410665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 731c7856-bbe0-4ba1-a4c4-4656d595b9f3 · outbound

This paper cites Learning joint afﬁnity graph for multi-view subspace clustering,.

Simultaneous Clustering and Optimization for Evolving Datasets Learning joint afﬁnity graph for multi-view subspace clustering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.384892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5986a510-d290-4e3b-be72-68dda8cfab82 · outbound

This paper cites Late fusion incomplete multi-view clustering,.

Simultaneous Clustering and Optimization for Evolving Datasets Late fusion incomplete multi-view clustering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.369261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff75462e-416c-4c00-8064-719a8653dacc · outbound

This paper cites An application of network lasso optimization for ride sharing prediction,.

Simultaneous Clustering and Optimization for Evolving Datasets An application of network lasso optimization for ride sharing prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.353859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef0cabf3-5a56-470d-9674-10e5c8db8621 · outbound

This paper cites Splitting methods for convex clustering,.

Simultaneous Clustering and Optimization for Evolving Datasets Splitting methods for convex clustering,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.339451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3202608a-5c6d-4c69-a8f7-42c76132c058 · outbound

This paper cites Statistical properties of convex cluster- ing,.

Simultaneous Clustering and Optimization for Evolving Datasets Statistical properties of convex cluster- ing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.305049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c333d27-a76d-487e-ae5d-57af4900c41e · outbound

This paper cites Convex clustering via l1 fusion penalization,.

Simultaneous Clustering and Optimization for Evolving Datasets Convex clustering via l1 fusion penalization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.240183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a437cce-79f7-4896-9218-de916b4a874f · outbound

This paper cites Snap: A general purpose network anal- ysis and graph mining library.

Simultaneous Clustering and Optimization for Evolving Datasets Snap: A general purpose network anal- ysis and graph mining library

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.224787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b9956e1-2597-4550-9ea8-fc4204c5f18f · outbound

This paper cites When is network lasso accurate?.

Simultaneous Clustering and Optimization for Evolving Datasets When is network lasso accurate?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.209871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9309eac4-0f1e-43df-a612-79a5e2c924b4 · outbound

This paper cites Just relax and come clustering! a convexiﬁcation of k-means clustering,.

Simultaneous Clustering and Optimization for Evolving Datasets Just relax and come clustering! a convexiﬁcation of k-means clustering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.072276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a17f73f-7a45-46f3-8477-7a168a13ec3f · outbound

This paper cites Large-scale k-means clustering via variance reduction,.

Simultaneous Clustering and Optimization for Evolving Datasets Large-scale k-means clustering via variance reduction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.991389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4048f59-6ac7-4af8-b393-22f348a61a28 · outbound

This paper cites Convex Optimization Procedure for Clustering - Theoretical Revisit.

Simultaneous Clustering and Optimization for Evolving Datasets Convex Optimization Procedure for Clustering - Theoretical Revisit

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.975900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d2a5a53-aed9-452e-9170-04ecc7fe65a7 · outbound

This paper cites Clustering by sum of norms: Stochastic incremental algorithm, convergence and cluster recovery,.

Simultaneous Clustering and Optimization for Evolving Datasets Clustering by sum of norms: Stochastic incremental algorithm, convergence and cluster recovery,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.906370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69be14fa-5269-42e5-b690-0657948b0871 · outbound

This paper cites An efﬁcient semismooth new- ton based algorithm for convex clustering,.

Simultaneous Clustering and Optimization for Evolving Datasets An efﬁcient semismooth new- ton based algorithm for convex clustering,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.841049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0fa58c97-9b95-4ae8-8bca-a69ef9c5e35c · outbound

This paper cites Shalev-Shwartz and S.

Simultaneous Clustering and Optimization for Evolving Datasets Shalev-Shwartz and S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.741485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbea2c68-d9a2-443a-a09e-1a4fc0951c2a · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Simultaneous Clustering and Optimization for Evolving Datasets Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.658794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66e26db0-22e2-41c8-a962-bf7d2da4cf7f · outbound

This paper cites On non-ergodic convergence rate of Douglas- Rachford alternating direction method of multipliers.

Simultaneous Clustering and Optimization for Evolving Datasets On non-ergodic convergence rate of Douglas- Rachford alternating direction method of multipliers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.590607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e372936f-5b92-42c3-8a19-ca7b1db6e8c2 · outbound

This paper cites CVX research project,.

Simultaneous Clustering and Optimization for Evolving Datasets CVX research project,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.502099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 862ad1df-b827-4720-bbcc-cd9be1916c40 · outbound

This paper cites Convex Clustering - An Attractive Alternative to Hierarchical Clustering.

Simultaneous Clustering and Optimization for Evolving Datasets Convex Clustering - An Attractive Alternative to Hierarchical Clustering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.484569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbe4d070-bec2-4499-9fb3-b774e4ee128b · outbound

This paper cites Boyd and L.

Simultaneous Clustering and Optimization for Evolving Datasets Boyd and L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.445324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7766b4f-4444-46bd-822c-49bba00746cd · outbound

This paper cites Proximal algorithms,.

Simultaneous Clustering and Optimization for Evolving Datasets Proximal algorithms,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.247773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82c5c773-1a9c-4b6a-88c0-6e960e6c1654 · outbound

This paper cites Bertsekas, A.

Simultaneous Clustering and Optimization for Evolving Datasets Bertsekas, A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.233068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e7f6ca3-c3f9-40fe-a84a-a8fb53945024 · outbound

This paper cites Deke Guo received a B.S.

Simultaneous Clustering and Optimization for Evolving Datasets Deke Guo received a B.S

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:33.150731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.