Pith. sign in

Paper Citation Record · LEDGER

PIPES: A Meta-dataset of Machine Learning Pipelines

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.09512.

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

pith.paper-citation-record.v1
2509.09512 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:01:48.590540Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f14f2a3-c04b-4536-909b-c2d69d82c9b9 · outbound

This paper cites The algorithm selection problem,.

PIPES: A Meta-dataset of Machine Learning Pipelines The algorithm selection problem,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.553370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.553370Z digest=sha256:0c32ff005ed2a4c5b2c99e2f54bbe8741130fbe7b5603c74504f22c6d236fe5f

Observation f7ae44df-3350-4b4f-a66e-12e873f19161 · outbound

This paper cites Cross-disciplinary perspectives on meta-learning for algorithm selection,.

PIPES: A Meta-dataset of Machine Learning Pipelines Cross-disciplinary perspectives on meta-learning for algorithm selection,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.561550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.561550Z digest=sha256:18c41735fe08fa9317aa486b9c12e0118a66645c09c02ec0ff6b590de2d85256

Observation ed49c58a-be62-4a9a-a93e-a35cec79a933 · outbound

This paper cites Automatic recommendation of classification algorithms based on data set characteristics,.

PIPES: A Meta-dataset of Machine Learning Pipelines Automatic recommendation of classification algorithms based on data set characteristics,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.569455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.569455Z digest=sha256:3bd654d0028aa7531e61041db4bbc6361d5bda9f8faf312f0350d7bb25a3a8ec

Observation e066ef12-fd5d-4504-a850-af7a743100d3 · outbound

This paper cites Ranking and selecting clustering algorithms using a meta-learning approach,.

PIPES: A Meta-dataset of Machine Learning Pipelines Ranking and selecting clustering algorithms using a meta-learning approach,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.578351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.578351Z digest=sha256:4fab022add03c827600f570eb756248adfd4c5fa2f93dabf4afdeb876a05eaae

Observation d628ea2a-6998-46b0-9315-1e202a137eac · outbound

This paper cites A new data char- acterization for selecting clustering algorithms using meta-learning,.

PIPES: A Meta-dataset of Machine Learning Pipelines A new data char- acterization for selecting clustering algorithms using meta-learning,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.588011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.588011Z digest=sha256:6019958ccb055c42f89446133c187b478a0f2aacfb2e1ca81946bcea31fae746

Observation 31a06602-430d-403a-8b1a-0db9e1faeb85 · outbound

This paper cites Clustering algorithm selection by meta-learning systems: A new distance-based problem characterization and ranking combination methods,.

PIPES: A Meta-dataset of Machine Learning Pipelines Clustering algorithm selection by meta-learning systems: A new distance-based problem characterization and ranking combination methods,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.597803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.597803Z digest=sha256:32daa5f4d3817e2ca0addd333c2542950ffb02cc36c601623395c34b31bb27de

Observation c2e740f5-850a-4696-a4e0-0cceddb7251c · outbound

This paper cites A literature survey and empirical study of meta-learning for classifier selection,.

PIPES: A Meta-dataset of Machine Learning Pipelines A literature survey and empirical study of meta-learning for classifier selection,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.606530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.606530Z digest=sha256:37f00d283b100ecee16bfcd11fffa1fdf91d5ebed68158900198601f9c253d86

Observation c2555753-6d5c-46bc-9d3d-556742e65927 · outbound

This paper cites Hutter, L.

PIPES: A Meta-dataset of Machine Learning Pipelines Hutter, L

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.614150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.614150Z digest=sha256:b6ec5df9c738f0857f726fbe7ff168168bf25a951e73ae5ee722facd76014085

Observation c03a2da0-8773-4a20-91bd-dd2636b77abb · outbound

This paper cites Brazdil, J.

PIPES: A Meta-dataset of Machine Learning Pipelines Brazdil, J

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.621127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.621127Z digest=sha256:e9c4cd331060f5caa4683ebef113708a282bc24fc12d4eb390ba1b67e1d92960

Observation 02d0cc00-863d-48a4-b3d5-a372746f436e · outbound

This paper cites OpenML Benchmarking Suites.

PIPES: A Meta-dataset of Machine Learning Pipelines OpenML Benchmarking Suites

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.631929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.631929Z digest=sha256:b055aa6c4e7d0456eaad092dcb43576175f32132c015f3657367bcebb48f4d26

Observation 01994122-b162-4a35-b515-ff747ba42099 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.639174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.639174Z digest=sha256:049303638b8ce93ef96e59f2a8a895baaefe2b47c48701f8529cc39e024cf2d0

Observation aeda0ee7-b54c-4c21-86fc-0aa31af05ddb · outbound

This paper cites Automatic Exploration of Machine Learning Experiments on OpenML.

PIPES: A Meta-dataset of Machine Learning Pipelines Automatic Exploration of Machine Learning Experiments on OpenML

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.646296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.646296Z digest=sha256:493f352e4a3dd9ee70d540a8258120ee9bf715ce7fd5627c61688f34d92451f9

Observation 021eddc4-2d6f-45fa-a374-a5fd64c37b5f · outbound

This paper cites Perrone, R.

PIPES: A Meta-dataset of Machine Learning Pipelines Perrone, R

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.653528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.653528Z digest=sha256:4707d20e2577d7123501b86406379314bbae2bade5c5b24d8c20c28ac8f4b680

Observation e1b3255a-f29a-43bd-a73b-491b742325fd · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.659895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.659895Z digest=sha256:f0db15cde1ed3b020cc0ebbbc2c7bb3ee03980bb4436c43d87b315512840f3cd

Observation 97b3ff5d-bef5-4957-b6af-39e546a711ff · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.704204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.704204Z digest=sha256:a3e5e951c20f5600c82149649e309f2c81f8ea5efeeb3c29806b5344019f8a3c

Observation 64146fff-ac3f-4e1c-8e50-6452d7f8f649 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.711184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.711184Z digest=sha256:bd0f5120e4971ff34e9a83a360930b502369f0983d628738e2406bd5840b5dd4

Observation a50de1a2-2043-4adb-af56-d1852b6dbce6 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.750962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.750962Z digest=sha256:256ee3a9b1a45c061108cd65e12a54097365a4ec59b7891daaa8cd7730996f6e

Observation 88e0eb9f-a32f-40db-8303-0844dfc0ef0f · outbound

This paper cites Brazdil, C.

PIPES: A Meta-dataset of Machine Learning Pipelines Brazdil, C

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.774565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.774565Z digest=sha256:537011b07f67509b89d68655133fc5442d3c922c511331951a62846fe34f35d1

Observation d124a7c0-239d-45e8-9f9a-293241fb5cd2 · outbound

This paper cites Castiello, G.

PIPES: A Meta-dataset of Machine Learning Pipelines Castiello, G

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.821133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.821133Z digest=sha256:574f8693a02f7851e480fdfb8ef5849587e09e7873ffa58d110b9e33ab2061a8

Observation ed49c209-542e-483f-80be-a34ebcda6f9d · outbound

This paper cites Rivolli, L.

PIPES: A Meta-dataset of Machine Learning Pipelines Rivolli, L

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.908221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.908221Z digest=sha256:12a45c61b4ae9bb50469c16cfe4285935d7d0cf9740326db8faad1c078dcd3cf

Observation 7532ae3b-416a-48eb-8f96-6c3de92faec4 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.953611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.953611Z digest=sha256:0c03087ad7e6daec0183b52879848bbe7e769350e8b5badba7de17df4929866c

Observation acffaeb8-56a2-48b2-838e-04c63af2bafc · outbound

This paper cites Mustafa and M.

PIPES: A Meta-dataset of Machine Learning Pipelines Mustafa and M

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:47.970032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:47.970032Z digest=sha256:55fd201c1d31f81d4330fef54b570802e0a2f4d6e82deddf61b7b5ce8f5af6b2

Observation 3eb8fde6-d35e-4f30-9238-99d357669202 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.016629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.016629Z digest=sha256:8792e09b36fe06118cc35834dfd86f9a92b453de20118bb6a97622fe4bf83981

Observation 90d6ae3a-d94d-41bc-ad63-d570500abc71 · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.033356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.033356Z digest=sha256:4a8a9e06b7c1ee6dc39db77e1965f8dff7864f9b82670c4c1454e279fce53ba9

Observation 27af7e1d-1b5d-4973-a82e-189c61d7227b · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.072172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.072172Z digest=sha256:7d2ac5b38c447559af45ac90c612d05bed9a4181e5c456f972b81cccfe80bd50

Observation ac9637f4-d87d-4b68-9ecb-dd3ceb9e2567 · outbound

This paper cites Resampling strategies for imbalanced regression: a survey and empirical analysis,.

PIPES: A Meta-dataset of Machine Learning Pipelines Resampling strategies for imbalanced regression: a survey and empirical analysis,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.116958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.116958Z digest=sha256:d9fcc01b7c1292626dd6a2d8526be8c3101bbc2d372aa8ba6295031050082bb3

Observation 9533c116-a20a-4bbd-8582-0ac0a713b706 · outbound

This paper cites Meta-scaler: A meta-learning framework for the selection of scaling techniques,.

PIPES: A Meta-dataset of Machine Learning Pipelines Meta-scaler: A meta-learning framework for the selection of scaling techniques,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.131762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.131762Z digest=sha256:33f9a1a3db2f627b3d6f39d983d349de2fd286daec37af3bcce96814e5c2f3c5

Observation fe6a0f6a-1f96-4a78-953e-655d2a756fe6 · outbound

This paper cites Zhang and Q.

PIPES: A Meta-dataset of Machine Learning Pipelines Zhang and Q

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.175851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.175851Z digest=sha256:7943ea5b32f75190334d4d127b6371d7556186358d3d56bcd63fb40958e5307c

Observation e28fb9bd-02de-4587-8f5e-630730f46d7b · outbound

This paper cites Vanschoren, H.

PIPES: A Meta-dataset of Machine Learning Pipelines Vanschoren, H

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.219818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.219818Z digest=sha256:a1a919b00bf3aa9f120e94c9da56c57b27c86903df46b9f7d19c945fee6a2249

Observation 04167110-4f8f-4b1b-8454-14fcd729c81c · outbound

This paper cites Vanschoren, J.

PIPES: A Meta-dataset of Machine Learning Pipelines Vanschoren, J

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.263970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.263970Z digest=sha256:68f655397991662e175fddcb027434ca5ae93b15e0d4e5e908720c4e4faf48e7

Observation edc36550-76c5-42d6-bcf4-6e5a6ff8b89c · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.282798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.282798Z digest=sha256:be1ec92d94be5475adb3b0d6b3d924ad6a1801934d7c2c1a3d2818e1e50533cf

Observation 27d0f1c4-ef80-4ec6-93f7-cbc9e037843b · outbound

This paper cites an unresolved cited work.

PIPES: A Meta-dataset of Machine Learning Pipelines Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.323749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.323749Z digest=sha256:d0f1d51c409ed0aff555a29e71d73485dd8fd268676a687c5b4a525a1c617520

Observation 89c2d75b-42eb-4df2-9896-967032e4e814 · outbound

This paper cites Feurer, A.

PIPES: A Meta-dataset of Machine Learning Pipelines Feurer, A

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.368445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.368445Z digest=sha256:2e693bb0084a1aef352d18442705c6f77e28176f1f0a74fb9223da2421bad32d

Observation 3340c89b-eb93-4e23-a973-db5833136f25 · outbound

This paper cites Pedregosa, G.

PIPES: A Meta-dataset of Machine Learning Pipelines Pedregosa, G

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.471250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.471250Z digest=sha256:9480eb23f1ff9f7173dea93f5b311e5d66a265ff6ac118819c3827b175157143

Observation 9a2ba8b5-7fbc-423c-853f-749fd1e3e1a5 · outbound

This paper cites Feurer, J.

PIPES: A Meta-dataset of Machine Learning Pipelines Feurer, J

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.516158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.516158Z digest=sha256:034572bfdad00d622792418b201b2fb041561ffeba6ca2a8d6b4f25247e57f66

Observation 50f67b39-60e2-431f-a3a6-cc3818daac18 · outbound

This paper cites Alcobac ¸a, F.

PIPES: A Meta-dataset of Machine Learning Pipelines Alcobac ¸a, F

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.561197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.561197Z digest=sha256:2a560d902eb83e24834dac4198d71b77c227476f9e8346c014655a1abaebad5d

Observation 9f33cebb-c31b-42b9-aac9-d15169083400 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

PIPES: A Meta-dataset of Machine Learning Pipelines UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T19:01:48.590540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:01:48.590540Z digest=sha256:65cb9b092aa1346b1f5b0030287ed9b55ebf73f0c5dbf9ef76c8cab267f23452

Pith citing papers

No inbound Pith citation observations are available.