Paper Citation Record · LEDGER

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering

As of 11 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2501.07745.

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

pith.paper-citation-record.v1
2501.07745 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:46:26.452209Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:12:39.196340Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:12:39.261180Z

Reference resolution

62 of 62 outbound references displayed

verified exact2
verified fuzzy53
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8097975-9835-41f1-b612-29e4a14613a4 · outbound

This paper cites Terahac: Hierarchical agglomerative clustering of trillion-edge graphs,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Terahac: Hierarchical agglomerative clustering of trillion-edge graphs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:27.012746Z

Source-reported events for the cited work

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Observation eb849fc0-6119-4f7a-aa96-5112afee3ceb · outbound

This paper cites an unresolved cited work.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:46:27.005216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7963732-33e5-434c-bf84-08b5d24a829a · outbound

This paper cites A survey of clustering data mining techniques,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering A survey of clustering data mining techniques,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.997874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d8adba0-91d0-4b38-9332-973b43936b56 · outbound

This paper cites an unresolved cited work.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:46:26.990543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 484ddfc1-6103-42f7-a471-448be029625c · outbound

This paper cites Efficient clustering and matching for object class recognition.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Efficient clustering and matching for object class recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.983217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37947adf-5bf0-4e11-b7c5-1194052477c1 · outbound

This paper cites Algorithms for hier- archical clustering: an overview,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Algorithms for hier- archical clustering: an overview,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.976058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29efce79-6598-4c4c-9a90-4597f8c41c0e · outbound

This paper cites Algorithms for hierarchical clustering: an overview, II,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Algorithms for hierarchical clustering: an overview, II,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.968819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d16965e7-097f-4cc9-b0b6-f74714f90ed4 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Modern hierarchical, agglomerative clustering algorithms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:46:26.311690Z

Source-reported events for the cited work

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Observation 32b78656-e1d3-4221-9a01-cfc54a1cb7d1 · outbound

This paper cites fastcluster: Fast hierarchical, agglomerative clustering routines for r and python,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering fastcluster: Fast hierarchical, agglomerative clustering routines for r and python,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.961386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37164321-b57c-4437-b76d-1747beccfc17 · outbound

This paper cites Optimal implementations of upgma and other common clustering algorithms,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Optimal implementations of upgma and other common clustering algorithms,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.954135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ae2a766-132b-4940-a81d-d9e3b65fa507 · outbound

This paper cites Multiple upgma and neighbor-joining trees and the performance of some computer packages,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Multiple upgma and neighbor-joining trees and the performance of some computer packages,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.946728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5193dbed-a7be-4f4c-8831-6b85bb45c9f6 · outbound

This paper cites Evaluation of hierarchical clustering algorithms for document datasets,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Evaluation of hierarchical clustering algorithms for document datasets,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.939235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 716cad43-28f1-43a7-abab-fcd2e703904f · outbound

This paper cites MGUPGMA: a fast UPGMA algorithm with multiple graphics processing units using NCCL,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering MGUPGMA: a fast UPGMA algorithm with multiple graphics processing units using NCCL,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.931984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2c4e8b4-108d-49b4-8a42-567c03a979b0 · outbound

This paper cites A hierarchical algorithm for extreme clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering A hierarchical algorithm for extreme clustering,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.924625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ce921b0-f76a-4e9e-aaf8-d730ea388ca9 · outbound

This paper cites Bayesian hierarchical community discovery,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Bayesian hierarchical community discovery,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.917078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d45899cf-0aa0-401a-a2a3-c662151806fa · outbound

This paper cites Author disambiguation using error-driven machine learning with a ranking loss function,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Author disambiguation using error-driven machine learning with a ranking loss function,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.909929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c30e807-b98c-4937-9f36-6495b837b566 · outbound

This paper cites Hierarchical agglomerative graph clustering in poly-logarithmic depth,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical agglomerative graph clustering in poly-logarithmic depth,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.902764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 921a3c13-b13e-4a74-8131-41cda97ee002 · outbound

This paper cites Hierarchical agglomerative graph clustering in nearly-linear time,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical agglomerative graph clustering in nearly-linear time,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.895605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1795b0be-b23f-4106-bd36-ec4b229b2db4 · outbound

This paper cites Scalable hierarchical agglomerative clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Scalable hierarchical agglomerative clustering,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.888301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e59721f-698e-4774-8299-cc5fb2c2b9ef · outbound

This paper cites Affinity clustering: Hierarchical clustering at scale,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Affinity clustering: Hierarchical clustering at scale,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.881029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2dfb70a-e8e6-48ff-ad83-38ecdb23efcd · outbound

This paper cites A framework for parallelizing hierarchical clustering methods,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering A framework for parallelizing hierarchical clustering methods,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.873746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb81ad96-291c-4c13-b2a4-03b6ba86e5b2 · outbound

This paper cites Parallel batch-dynamic minimum spanning forest and the efficiency of dynamic agglomerative graph clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Parallel batch-dynamic minimum spanning forest and the efficiency of dynamic agglomerative graph clustering,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.866248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9193f31e-e300-4c03-9bec-754818af871c · outbound

This paper cites Online Hierarchical Clustering Approximations.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Online Hierarchical Clustering Approximations

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:46:26.573922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a0cf0ac-4d4c-4f62-890b-5dea73a3fa6c · outbound

This paper cites Birch: an efficient data clustering method for very large databases,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Birch: an efficient data clustering method for very large databases,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.858598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97b81e54-56ba-49cb-a0d3-4f0d852acf24 · outbound

This paper cites Pbirch: a scalable parallel clustering algorithm for incremental data,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Pbirch: a scalable parallel clustering algorithm for incremental data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.851251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 090a5a7d-e1b4-4fb2-b166-986e4da7d200 · outbound

This paper cites Scalable hierarchical clustering with tree grafting,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Scalable hierarchical clustering with tree grafting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.843940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 761e28a3-5b6c-4309-9807-06ce78e7c165 · outbound

This paper cites Online level-wise hierarchical clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Online level-wise hierarchical clustering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.836519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80b4f553-f2f7-46a5-bfd5-898d6041e8ec · outbound

This paper cites Hierarchical clustering better than average-linkage,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical clustering better than average-linkage,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.828492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25f63df7-ffae-4ccb-b2c2-5628fd45aef5 · outbound

This paper cites Hierarchical clustering: Objective functions and algorithms,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical clustering: Objective functions and algorithms,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.820733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31ed5bf6-c5e6-43eb-8208-fc229903d3e3 · outbound

This paper cites A cost function for similarity-based hierarchical clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering A cost function for similarity-based hierarchical clustering,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.813072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8303b2b8-0bd2-415c-82b8-a37958588c27 · outbound

This paper cites Approximation bounds for hierarchical clustering: Average linkage, bisecting k-means, and local search,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Approximation bounds for hierarchical clustering: Average linkage, bisecting k-means, and local search,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.805579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc5ea207-a1ab-4605-89ba-6449d5998137 · outbound

This paper cites Hierarchical clustering of data streams: Scalable algorithms and approximation guarantees,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical clustering of data streams: Scalable algorithms and approximation guarantees,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.797675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39014141-0abb-4e30-8c12-7326bf7ecfa2 · outbound

This paper cites Hierarchical clustering via sketches and hierarchical correlation clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical clustering via sketches and hierarchical correlation clustering,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.789466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81602787-c33d-49c9-bafc-913e45e0852e · outbound

This paper cites Terrapattern: A nearest neighbor search service,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Terrapattern: A nearest neighbor search service,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.781259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a040142-1847-439d-8803-775f25ea5dc2 · outbound

This paper cites Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets

Reference 35

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Source-reported events for the cited work

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Observation 22391df2-9b49-4213-a5af-fcefc03e11fe · outbound

This paper cites Affinity clustering: Hierarchical clustering at scale,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Affinity clustering: Hierarchical clustering at scale,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.773494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb4c712d-d112-498a-b05f-92f11dda774b · outbound

This paper cites Para- metric umap: learning embeddings with deep neu- ral networks for representation and semi-supervised learning,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Para- metric umap: learning embeddings with deep neu- ral networks for representation and semi-supervised learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.765734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8740f04-6633-4bc1-978b-8028eb098b32 · outbound

This paper cites The amsterdam library of object images,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering The amsterdam library of object images,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.757037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d7d9954-548b-4945-889a-15fb9477c9c8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Imagenet: A large-scale hierarchical image database,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:46:26.391578Z

Source-reported events for the cited work

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Observation 9667d333-234b-406d-91d4-f1c7af59ba60 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Rethinking the inception architecture for computer vision,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.745305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7cd443e6-8ae1-4f04-ba4c-c32ad897208b · outbound

This paper cites Probabilistic case-based reasoning for open-world knowledge graph completion,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Probabilistic case-based reasoning for open-world knowledge graph completion,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.737714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d2e4c59-84ea-4b4d-8f72-64bcc1336eab · outbound

This paper cites an unresolved cited work.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:46:26.730320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 522853df-a6fd-441a-8968-0cd91a9f9dcc · outbound

This paper cites GraphGrove,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering GraphGrove,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.723129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70b870be-d2ad-405c-9202-05b22318f4a8 · outbound

This paper cites DiskANN: Fast accurate billion-point nearest neighbor search on a single node,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering DiskANN: Fast accurate billion-point nearest neighbor search on a single node,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.715715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae39066c-3755-4df4-9ebd-49a2972719b0 · outbound

This paper cites Scaling graph- based anns algorithms to billion-size datasets: A comparative analysis,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Scaling graph- based anns algorithms to billion-size datasets: A comparative analysis,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.708022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0554b8b-e26f-4b00-83a2-a1d5c3315c7d · outbound

This paper cites Poly- logarithmic deterministic fully-dynamic algorithms for connectivity, minimum spanning tree, 2-edge, and biconnectivity,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Poly- logarithmic deterministic fully-dynamic algorithms for connectivity, minimum spanning tree, 2-edge, and biconnectivity,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.700124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e73aa8fb-242e-40f6-982d-82c3ae849137 · outbound

This paper cites Dy- namic graph connectivity in polylogarithmic worst case time,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Dy- namic graph connectivity in polylogarithmic worst case time,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.692718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18f0695f-55f3-4a8a-8ce8-27ea021501e6 · outbound

This paper cites Dynamic minimum spanning forest with subpoly- nomial worst-case update time,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Dynamic minimum spanning forest with subpoly- nomial worst-case update time,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.685401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bc328b86-a4ce-43b1-b0cc-672545787e7e · outbound

This paper cites Approximate hierarchical clustering via sparsest cut and spreading metrics,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Approximate hierarchical clustering via sparsest cut and spreading metrics,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.678212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f029923-7c89-4e3e-b34e-61128ce456df · outbound

This paper cites Hierarchical clustering: A 0.585 revenue approximation,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Hierarchical clustering: A 0.585 revenue approximation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.671032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 171b5f59-677a-4456-a1c2-bd49c414139b · outbound

This paper cites Objective-based hierarchical clustering of deep em- bedding vectors,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Objective-based hierarchical clustering of deep em- bedding vectors,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.663303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eaa58b1f-8e8a-447b-8a95-15e5c7f57292 · outbound

This paper cites Efficient and stable fully dynamic facility location,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Efficient and stable fully dynamic facility location,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.655397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4cdab3aa-0973-4b88-b393-68e019259fc3 · outbound

This paper cites Fully dynamic consistent facility location,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Fully dynamic consistent facility location,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.646244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b56ebc4-01aa-4023-86c0-b4e7db884dd4 · outbound

This paper cites Fully-Dynamic Coresets.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Fully-Dynamic Coresets

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:46:26.556283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55a12502-32b1-4a03-a442-2658c2e62d5b · outbound

This paper cites Clustering high dimensional dynamic data streams,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Clustering high dimensional dynamic data streams,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.638378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81d6a84d-6396-4de4-8926-fc17f4e61c79 · outbound

This paper cites Fully dynamic k-center clustering in low dimensional metrics,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Fully dynamic k-center clustering in low dimensional metrics,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.630695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3284617c-1095-433f-b283-df3f22203e7a · outbound

This paper cites Op- timal fully dynamic k-center clustering for adaptive and oblivious adversaries,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Op- timal fully dynamic k-center clustering for adaptive and oblivious adversaries,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.622416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7ddef4e-e1b0-4248-be7d-47a2c8505fb4 · outbound

This paper cites Fully dynamic consistent k-center clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Fully dynamic consistent k-center clustering,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.614213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01c2c58f-9dfd-4870-9ddd-b420b4fc7dfa · outbound

This paper cites Bico: Birch meets coresets for k-means clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Bico: Birch meets coresets for k-means clustering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.606056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6f69208-5050-438f-946c-128963259807 · outbound

This paper cites Parallel batch-dynamic algorithms for k-core decom- position and related graph problems,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Parallel batch-dynamic algorithms for k-core decom- position and related graph problems,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.597467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f18dfb0e-043a-43ce-9ed2-99c4ecd24f23 · outbound

This paper cites Online and consistent correlation clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Online and consistent correlation clustering,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:46:26.589410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5dbb706f-3307-4bd9-b98f-e1edfd867f96 · outbound

This paper cites Single-pass streaming algorithms for correlation clustering,.

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering Single-pass streaming algorithms for correlation clustering,

Reference 62

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:46:26.545414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation b6e99f58-8ff8-49c1-bfb1-0369c5866d4e · inbound

Parallel Hierarchical Agglomerative Clustering in Low Dimensions cites this paper.

Parallel Hierarchical Agglomerative Clustering in Low Dimensions DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:12:39.266760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.