Paper Citation Record · LEDGER

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.15964.

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

pith.paper-citation-record.v1
2501.15964 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:51:31.358081Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

32 of 32 outbound references displayed

verified exact4
verified fuzzy21
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a63672e4-cb9e-48c3-83bc-289b8449364a · outbound

This paper cites API design for machine learning software: experiences from the scikit-learn project.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration API design for machine learning software: experiences from the scikit-learn project

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.275303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005a4fbe-5e89-4545-94c9-0544db31940a · outbound

This paper cites HPR-LP: An implementation of an HPR method for solving linear programming.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration HPR-LP: An implementation of an HPR method for solving linear programming

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.279584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3701ae4-cf2a-4e27-97dc-0ca03c081efd · outbound

This paper cites Splitting methods for convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Splitting methods for convex clustering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.678309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64f06d3c-3834-4da9-b8b5-985914a89898 · outbound

This paper cites Recovering trees with convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Recovering trees with convex clustering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.670164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c922804-bc9c-4f9a-bfc1-c9bc01bd1bc1 · outbound

This paper cites Provable convex co-clustering of tensors.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Provable convex co-clustering of tensors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.663244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ca98147-db52-4307-86d6-9f4da3478707 · outbound

This paper cites Fast tree inference with weighted fusion penalties.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Fast tree inference with weighted fusion penalties

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.656174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e038a585-aac0-4650-a09b-68a4e18db74a · outbound

This paper cites Libras Movement.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Libras Movement

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.647932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4ded494-2d26-4e3a-a2e7-9cb3dab45c09 · outbound

This paper cites Convex hierarchical clustering for graph-structured data.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Convex hierarchical clustering for graph-structured data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.640656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 404da45e-7b3f-4053-a21d-6713cdb0cf39 · outbound

This paper cites Sum-of-norms clustering does not separate nearby balls.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Sum-of-norms clustering does not separate nearby balls

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:51:31.486990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb74aa90-b5ce-4059-b00f-eb6243b5f89b · outbound

This paper cites A review of convex clustering from multiple perspectives: models, optimizations, statistical properties, applications, and connections.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration A review of convex clustering from multiple perspectives: models, optimizations, statistical properties, applications, and connections

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.633166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e5f6c4b-1e01-4e63-9af5-495dcd35f6b0 · outbound

This paper cites Clusterpath an algorithm for clustering using convex fusion penalties.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Clusterpath an algorithm for clustering using convex fusion penalties

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.625003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eed104c3-4831-4b8b-a570-7e738d7ee35e · outbound

This paper cites Recovery of a mixture of G aussians by sum-of-norms clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Recovery of a mixture of G aussians by sum-of-norms clustering

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.617389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75ea5753-808b-4d0f-9fe6-29be0310300d · outbound

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

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Gradient-based learning applied to document recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.309948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7eddf9f-3b76-4c92-8ceb-6f5d4637df3e · outbound

This paper cites Biclustering via sparse singular value decomposition.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Biclustering via sparse singular value decomposition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.604497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1586319-029e-4203-b499-7cf2b579d250 · outbound

This paper cites Clustering using sum-of-norms regularization: With application to particle filter output computation.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Clustering using sum-of-norms regularization: With application to particle filter output computation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.597412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32200592-9d08-4c66-b269-584365807f03 · outbound

This paper cites Columbia object image library (coil-20).

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Columbia object image library (coil-20)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.588948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe6b0715-dab9-4ef7-8b99-27c4f00847ba · outbound

This paper cites Large steps in inverse rendering of geometry.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Large steps in inverse rendering of geometry

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.320158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f8ea89-cec9-4159-809b-7aa19e6d75f1 · outbound

This paper cites Numerical Optimization.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Numerical Optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.580164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2784f65d-44ef-4f6c-870a-6052fa333387 · outbound

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

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Clustering by sum of norms: Stochastic incremental algorithm, convergence and cluster recovery

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.573130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d60b992c-3df9-4944-a075-0d52b80accf0 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Pytorch: An imperative style, high-performance deep learning library

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.327965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f1eb6f-06f4-4824-87a6-576c4d0f8b16 · outbound

This paper cites Convex clustering shrinkage.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Convex clustering shrinkage

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.561503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 800e87c1-3b03-4c5c-81d8-f4b6d84cb006 · outbound

This paper cites Convex clustering via l_1 fusion penalization.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Convex clustering via l_1 fusion penalization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.555039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b781bbe9-288c-4f4c-bda4-cf145bcacee2 · outbound

This paper cites Convex clustering: Model, theoretical guarantee and efficient algorithm.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Convex clustering: Model, theoretical guarantee and efficient algorithm

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.336382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc9e18c-fa09-478a-8810-1a479f872743 · outbound

This paper cites Accelerating preconditioned ADMM via degenerate proximal point mappings.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Accelerating preconditioned ADMM via degenerate proximal point mappings

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:51:31.414226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9575dbd2-6492-4fc5-a10c-5c284e628af0 · outbound

This paper cites Statistical properties of convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Statistical properties of convex clustering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.543721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0614c00-223b-4e50-8f81-d3dbe41d2f31 · outbound

This paper cites Sparse convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Sparse convex clustering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.536946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5902eb9a-1e77-4b92-a538-dc5c954ec7c4 · outbound

This paper cites Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:51:31.404114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4bd3e5a-563a-4587-8fdf-a41acbd32548 · outbound

This paper cites An efficient semismooth N ewton based algorithm for convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration An efficient semismooth N ewton based algorithm for convex clustering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.529351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b45215aa-9747-4321-9700-c3bff09584c5 · outbound

This paper cites A dimension reduction technique for large-scale structured sparse optimization problems with application to convex clustering.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration A dimension reduction technique for large-scale structured sparse optimization problems with application to convex clustering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.518718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a2e57ff-68b1-45e4-8e6f-369d1e365b3b · outbound

This paper cites An Efficient HPR Algorithm for the Wasserstein Barycenter Problem with $O({Dim(P)}/\varepsilon)$ Computational Complexity.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration An Efficient HPR Algorithm for the Wasserstein Barycenter Problem with $O({Dim(P)}/\varepsilon)$ Computational Complexity

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T13:51:31.352042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de0e598c-0ecd-41a3-bb8b-9e1e18c63eac · outbound

This paper cites HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:51:31.385293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0419f92f-ff89-4a1c-91be-1f6b08b93958 · outbound

This paper cites Convex optimization procedure for clustering: Theoretical revisit.

PyClustrPath: An efficient Python package for generating clustering paths with GPU acceleration Convex optimization procedure for clustering: Theoretical revisit

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:51:31.508670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.