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Paper Citation Record · LEDGER

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2502.02668.

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

pith.paper-citation-record.v1
2502.02668 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:49.870284Z

measured 40 of 40 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 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

40 of 40 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7f85306-3140-4130-9314-fa4e7ef88026 · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 365623c4-79f6-4921-acc0-7fb304efbb4f · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 2

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Observation ca023cc6-9460-4f39-aca6-e3a66c8d0e8b · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 3

Resolution
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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.

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Observation 32211556-a770-4f74-bab3-e2285861473f · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 4

Resolution
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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.

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Observation 7dcbb5ac-aa05-4039-bd0f-116690050905 · outbound

This paper cites Cabana, R.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Cabana, R

Reference 5

Resolution
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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.

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Observation 0673ee9c-e241-418e-9866-da952f057c8e · outbound

This paper cites Davis, M.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Davis, M

Reference 6

Resolution
verified fuzzy
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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.

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Observation 9b923540-9a82-4b6f-94ef-fd33d7f17ee2 · outbound

This paper cites Diakonikolas, S.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Diakonikolas, S

Reference 7

Resolution
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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.

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Observation f83cee9a-2af0-46db-a71d-09187fe3fd24 · outbound

This paper cites Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c9c0dca-63c2-4bf0-bd09-83a6e14537dd · outbound

This paper cites Friedman, J.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Friedman, J

Reference 9

Resolution
verified fuzzy
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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.

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Observation 87cb04d7-291a-4dc1-933b-5ad1f1612673 · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 10

Resolution
unresolved
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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.

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Observation 73c6b0d4-bf25-4e79-95a1-086028fc0e09 · outbound

This paper cites Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

Reference 11

Resolution
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Source-reported events for the cited work

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Observation fced076e-6daf-4d79-b16c-249a1358cb32 · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 12

Resolution
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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.

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Observation c72e8da8-31cb-4907-97e0-956d61b6d79e · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 13

Resolution
unresolved
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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.

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Observation ae43ead8-a072-4e69-b8d6-815d4095d414 · outbound

This paper cites Hyvarinen, Fast and robust fixed-point algorithms fo r independent component analysis, IEEE Transactions on Neu ral Networks 10 (1999) 626–634.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Hyvarinen, Fast and robust fixed-point algorithms fo r independent component analysis, IEEE Transactions on Neu ral Networks 10 (1999) 626–634

Reference 14

Resolution
verified fuzzy
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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.

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Observation 20cd31fc-13b6-4b09-852b-d7af2d8c1a7e · outbound

This paper cites Hyv¨ arinen, J.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Hyv¨ arinen, J

Reference 15

Resolution
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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.

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Observation 3fe22652-d6f9-4212-b235-acdc40dcedaf · outbound

This paper cites Jorge, A.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Jorge, A

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:49.783817Z digest=sha256:87dd8d5694b64f9f8ef533c639e79e46c4afa6cc07371c8e34d12628242ed2fb

Observation c08ab860-3414-45f2-aac3-fecbaa5bfda9 · outbound

This paper cites Kearns, E fficient noise-tolerant learning from statistical queries, J.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Kearns, E fficient noise-tolerant learning from statistical queries, J

Reference 17

Resolution
verified fuzzy
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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.

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Observation 00cc6c5c-4a7b-4ab9-b8f8-df3fff321a76 · outbound

This paper cites Kollo, Multivariate skewness and kurtosis measures with an application in ica, Journal of Multivariate Analysi s 99 (2008) 2328–2338.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Kollo, Multivariate skewness and kurtosis measures with an application in ica, Journal of Multivariate Analysi s 99 (2008) 2328–2338

Reference 18

Resolution
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Source-reported events for the cited work

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Observation e9117953-fe26-4fe5-a366-88352dc7aecc · outbound

This paper cites Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 289cb72a-2501-4236-9182-6d0a2edc269e · outbound

This paper cites Loperfido, Singular value decomposition of the third multivariate moment, Linear Algebra and its Applications 4 73 (2015) 202–216.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Loperfido, Singular value decomposition of the third multivariate moment, Linear Algebra and its Applications 4 73 (2015) 202–216

Reference 20

Resolution
verified fuzzy
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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.

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Observation 7c0a054a-228a-492d-a637-c48315477a18 · outbound

This paper cites Loperfido, Kurtosis maximization for outlier detect ion in garch models: Maf 2018, 2018, pp.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Loperfido, Kurtosis maximization for outlier detect ion in garch models: Maf 2018, 2018, pp

Reference 21

Resolution
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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.

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Observation 31e39bba-43e7-4950-8329-20fdd803216f · outbound

This paper cites Loperfido, Skewness-based projection pursuit: A com putational approach, Computational Statistics and Data An alysis 120 (2018) 42–57.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Loperfido, Skewness-based projection pursuit: A com putational approach, Computational Statistics and Data An alysis 120 (2018) 42–57

Reference 22

Resolution
verified fuzzy
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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.

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Observation ad7f2d85-990d-405c-9051-5c315882c1f6 · outbound

This paper cites Loperfido, Kurtosis-based projection pursuit for ou tlier detection in financial time series, The European Journ al of Finance 26 (2020) 142–164.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Loperfido, Kurtosis-based projection pursuit for ou tlier detection in financial time series, The European Journ al of Finance 26 (2020) 142–164

Reference 23

Resolution
verified fuzzy
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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.

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Observation 08a249df-4055-403a-8c23-defa26b80c89 · outbound

This paper cites Optimal Spectral Recovery of a Planted Vector in a Subspace.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Optimal Spectral Recovery of a Planted Vector in a Subspace

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f73984e2-2501-4b3a-927b-ef3faf17080d · outbound

This paper cites Sum-of-squares lower bounds for planted clique.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Sum-of-squares lower bounds for planted clique

Reference 25

Resolution
verified exact
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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.

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Observation d3229e14-c5ed-4bd7-b636-347c83412700 · outbound

This paper cites Neyman, E.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Neyman, E

Reference 26

Resolution
verified fuzzy
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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.

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Observation 024ca265-186b-44b1-beb1-ea86146e9b36 · outbound

This paper cites Pe˜ na, F.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pe˜ na, F

Reference 27

Resolution
verified fuzzy
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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.

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Observation 24134f03-9128-45be-b92a-8d29b53ecc78 · outbound

This paper cites Pe˜ na, F.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pe˜ na, F

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.116225Z

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.

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Observation cf57c8fb-5758-4224-8e9f-78416412fae6 · outbound

This paper cites Pe˜ na, F.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pe˜ na, F

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.107161Z

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.

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Observation 9abdb41d-c52b-4c1a-ba8c-48bd44f8344c · outbound

This paper cites Pe˜ na, F.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pe˜ na, F

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.097029Z

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=2026-08-09T11:38:49.833665Z digest=sha256:9c44863a39e6c6f2665b4cf89797cb3fe45949dab677a8e941e0946e2c377ed7

Observation bfffb314-cddd-4c5c-882e-a0e30f766621 · outbound

This paper cites Pe˜ na, F.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pe˜ na, F

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.087509Z

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=2026-08-09T11:38:49.837264Z digest=sha256:df58df29178ed16dcdb626cae4fc9cd266efa6fac638fd273e3efbfd61191b4e

Observation bfde7a8d-78d9-4c02-816a-e4fff66820a2 · outbound

This paper cites Pokojovy, J.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Pokojovy, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.076803Z

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=2026-08-09T11:38:49.840664Z digest=sha256:1310ece71d35e7398e9d428f5d24402b7759ef3ff0dd24b512e2c7c429b593dd

Observation 9f7374a7-6191-4121-a6a5-751a50779b84 · outbound

This paper cites P¨ a¨ aj¨ arvi, J.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit P¨ a¨ aj¨ arvi, J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.065575Z

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=2026-08-09T11:38:49.844278Z digest=sha256:1b607e6a4b4c66e8adb1013bd1d3ade54967ef4d5c1bf16d518ea0fcb439e815

Observation 8bb1bf75-128f-483d-a3b9-8925565b565b · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:38:50.054243Z

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.

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Observation 7fae57d6-c01b-497b-9bb9-b50c9400fbc8 · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:38:50.042555Z

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.

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Observation 3daea6bf-21bb-4a35-ae2b-20ce9b923a23 · outbound

This paper cites V ershynin, High-Dimensional Probability, 2020.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit V ershynin, High-Dimensional Probability, 2020

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.030881Z

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.

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Observation 77ee2abd-5433-42f7-a4c1-5c0b0b61e036 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:49.859399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6cd0ad19-837c-464e-bd5e-61fdad7fd891 · outbound

This paper cites Zadik, M.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Zadik, M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:38:50.019441Z

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.

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Observation 9e4059b9-8d43-46fb-9c98-f5365a933194 · outbound

This paper cites Zarzoso, P.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Zarzoso, P

Reference 39

Resolution
verified fuzzy
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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.

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Observation 85310093-43e0-47ec-b745-a01751e31c9b · outbound

This paper cites an unresolved cited work.

Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:38:49.995924Z

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.

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Pith citing papers

No inbound Pith citation observations are available.