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Paper Citation Record · LEDGER

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering

As of 15 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 2026-08-14T06:32:32.682623+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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.291412Z digest=sha256:d24152977ab9150ececd0953684cef7df6f7f1e18f6951afa5e173af62609557

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.294925Z digest=sha256:32929e23ca53b380e0ce6623ba82fddb25ff2d91c1d2a4243f431a9128cd4b11

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.297790Z digest=sha256:6fdd7ee4432b72fbfff389d8d99ff55d78f83031e79bf155d650c80c0f7e6b0f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.300842Z digest=sha256:05550fa33e9cc24a68ea535c0974884bc80363dfcc99a0950b6c81455cfb5615

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.303713Z digest=sha256:e1ecdeaddce5a37160dd05a0f2b8e896e14effd20b8ed647ceb77a0308c06e76

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.306346Z digest=sha256:74966c38a446f0ef79953323504e7650c1cd3808889f5bd5c8ad964bc0d44c7a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.309196Z digest=sha256:a8d0995f940a3f8638c0a28f6e3e14fc236a98d10e1a5d654bf1b51032f5e468

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:26.311690Z digest=sha256:d3d81c6672e6c5e94371e26b15225d73414cb612c75e1de18774284f3d8090b9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.314908Z digest=sha256:06b8fe0a51d2e2c417b54c42fa6bcf911a63c546e6b6c5e89f5b7308eacfb3f7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.317538Z digest=sha256:18fdc034dcdf18b9c7a802d9eb6d7743ab17eb41b94262993b99b3a6a314caa1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.320070Z digest=sha256:03faa038fe001eb2fbdd4fc8ee9eadfd7d1f6026a25365f3d97cd32b45ad08c4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.322846Z digest=sha256:a386b34ad92bd179bd5d7eb98a07fe6b832781ed8e77303a9d8752fcbb5bffb1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.325432Z digest=sha256:ba3c50769a9783e9c87b1061eeb70e292550e824db5985b4ca1d09bbe154dfb5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.328074Z digest=sha256:2e28b711c263543d90a0de96ce84a9791ba4ffd5e9296abb557d993af9c2c0ee

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.330546Z digest=sha256:6768b8e7be795e7f8c3ee2d218add04fcb6a0d12dc660e85c774306a9022cd29

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.333033Z digest=sha256:01e55f3b61e20c23fbfaeee0a129388b9a4305db9c212dbbcc445263dabbbc1c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.335557Z digest=sha256:91c3bebc61010bdfbc2589533d1ddcd442238860ebb0708a7780f638ec367612

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.337983Z digest=sha256:3547082fb47162744e92fdf98f4aac596edeb494eaf3d20c4144f81b811ee6b7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.340592Z digest=sha256:aa59eb57b5087cabe225c40929a8d03678a0713c573a91a17505707157758ead

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.343303Z digest=sha256:3c1d63e0db7d061b5100e3cb4c22aa190a02cc44a192d8acfdb7d5c52adc283c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.345607Z digest=sha256:1721a65c20a9a367c4878b320101766b830bb4bb30dbd3eead566a0137a196b6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.348102Z digest=sha256:99afb278789a262426ea3929af02bcddaebdcbce835923b6cb4f1e937ce3e3c3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.350622Z digest=sha256:b4bf49d1b4e81b783771213169cf54df5aa24944dca8dfda0cdcbc88d8e30423

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.353523Z digest=sha256:047766161d7f46848b81333e39651744ba0b7b18cdffcac4f0370ef0a0b871c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.356025Z digest=sha256:ca1d496b3260b38c347b9f036866798f9f34e0673bd74a52dfde3fbedd87b001

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.358729Z digest=sha256:9dc850519dbdc0b6393cbf1524ec2e31f0c4263edce76835fc9a3778c87175f2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.360965Z digest=sha256:da69e96f8b2c2873775768ebcb7ba2643ad1aa34f946364c92d56fac4c93000a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.363604Z digest=sha256:a59b40c5ac582aaceb18b933296f45b4b753797c27b3c1fb68d322acff4202ef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.366099Z digest=sha256:c1306ccf7046ebe2a4f72ed86613e9381bbd89be3ebd4d657e8add9014ac4ee6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.368675Z digest=sha256:0841641a3af658a68a0c38acadbe0f1b26b073a2706ccf97c202c04e320aae10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.371017Z digest=sha256:102b855c531ee9819d4e717f526c69c858dbd6c4713b1604aa15e4bd4d5df8f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.373451Z digest=sha256:709a7aee32788690f8d714d57fb3a22b75a683612a26fc57c4535d10bff4496c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.375802Z digest=sha256:1928e5b69b86c73961460cabc6baae1bb1375e5cbd1a61c5f7883e28e6f1e21a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.378352Z digest=sha256:e5178f0ab32a336c4751f09d9ccd94d17ecbccc5bc82688fee8951586ccf61e6

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

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:26.380756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:26.380756Z digest=sha256:930ecf7bf8630248bb872edd55cfc583f7c6b2f6d7b4e1f9cea44eaff4ee8dfb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.383769Z digest=sha256:c6608119ff1c0aa80d9bec42782e27df13a34be533c344d662c3824ac86e0036

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.386355Z digest=sha256:13a6ea2387bbcdb485a04e21b02e395f26889d32fd8dc3d3a7ac0f387b9ef310

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.388994Z digest=sha256:3093711affc7ca098eee1a88bff6ef0b09efbe6037c2639adece06c1114356ac

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:26.391578Z digest=sha256:494a39d7427bb54c3da6d5a205a2ae560b3a60095f886be5494ee2ca4a46ad03

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.394120Z digest=sha256:f1a856cc3ca86c33afff1c4ae1dd19ba36d10c662ae85fd6d90af7e6c5225b89

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.396704Z digest=sha256:b1d5550bc6e2b0a8d5650d05fba1f942b420d8f0197c7c072b73f7f9acfcfa8b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.399024Z digest=sha256:ad80af03f45128cdd9d89e6d7e48d71be96246901650d9d7e72a6884458ad3c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.401562Z digest=sha256:45330bcc39d59fa731ad4a2b1bd8a03de607e4efb84c657f7621959a639f6ce5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.404197Z digest=sha256:8e5bad4a0523a54b446a1250c123ad52a27aa24f8943f4d71920dad9cbaec98f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.406837Z digest=sha256:0cb89de5725e049caacd23efcbd86a4719db6e657ccc7b1dfc6e65bb2e200dd5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.409365Z digest=sha256:36b3f802194d675aba27e4ee8ac9746a5dd28dad48ab0366a7829b87cd1147c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.412992Z digest=sha256:5ee5c35c3e268fa62b0c44bf44f87fec266746b36e720fb0c4604373dbf8f3ec

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.415593Z digest=sha256:944b5100af665e9328a221d97532f3cca77e1a4ceb72fb958db9b93bcd93bf5b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.418156Z digest=sha256:b5650d451146a8be8b0a025d4f937829561e11415bb1ae5387a93ddb8e1d2c47

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.420684Z digest=sha256:da3712070a10d2f3e1f53efa54cab5ec4697dd19f32ef781a5b2e40e2be7ddbf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.423262Z digest=sha256:84beb199e57028bd63286a5e866d7974737fd0e4fa47521d8bbe3f6ea2914ea1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.425917Z digest=sha256:3f8ac1b9cdf3ef64fbf66ba85ee12c83edeaa9ef68d166f97b0a1819e8660d76

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.428406Z digest=sha256:59193324e090fafbc3eed29e48c6ad2dddc50b1057683faca439b9ff2fa2e4cf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.431032Z digest=sha256:ed435ddbdad8d20f3abe7a0f4add6ea39b0056398a3750a3594c4fed337c32de

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.434016Z digest=sha256:7b20d6ce8c99c14655480381dadcc42bb2ac794ded1d9ce3b020a6ef0fb3c18e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.436610Z digest=sha256:71d768737e726b00d002c549b27908663fc7869b78323b436538620976b7cf79

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.439268Z digest=sha256:9958e6495fc8026d155d01d1b261e55ff7247dd1c3dc117a5e1131cbff448042

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.441847Z digest=sha256:22549c64bdeacba6632e66541a793a8b401ad1a7d4b35f989a7967617cb7e533

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.444565Z digest=sha256:fda4335f8a2b71718a1cb124c06621ed2f3fa8ce93496cd320aac361ac6c0a16

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.447297Z digest=sha256:dd4cf64ad377720ffadc642c6538ac542178005667f69b0e5d1e88f3f338ff7f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.449768Z digest=sha256:bcce2d2631f79770c447e36a29d64528fa0f9c75a43b03da7a7c5195add6334a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:46:26.452209Z digest=sha256:100facc62fb94c3a71ad032eb3f8fde76e0a96aa218f3dc57b4c570517dd20b6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T14:12:39.196340Z digest=sha256:2068761e481dc99e7e6740a8c6a59f50ed5b1b2cce3b0579a94c762142c68636