Paper Citation Record · LEDGER

PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2012.00058.

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

pith.paper-citation-record.v1
2012.00058 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:43.287022Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:33:17.375610Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ddffdaa6-9aa9-4759-b13b-da743ae11020 · inbound

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning cites this paper.

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T14:07:43.287022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdffec05-ebd8-4c08-8f2a-c78842a3e9bb · inbound

Transformer Semantic Genetic Programming for Symbolic Regression cites this paper.

Transformer Semantic Genetic Programming for Symbolic Regression PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T23:25:11.676512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa94ab7-9aa7-4ce8-8115-8c5485408bd2 · inbound

What should an AI assessor optimise for? cites this paper.

What should an AI assessor optimise for? PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T19:24:07.413079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d482b87d-e1e4-4e37-9a5c-84b885d18ad6 · inbound

Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.

Are machine learning interpretations reliable? A stability study on global interpretations PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:41.112960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4e39e2-e8b0-4407-8f68-a9e4a0004124 · inbound

Probabilistic Pretraining for Neural Regression cites this paper.

Probabilistic Pretraining for Neural Regression PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:30:12.766670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b621b4-8865-4a0d-a958-7115ec299de1 · inbound

Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems cites this paper.

Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:15:26.774062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a8ca1f2-0e13-4ee5-a800-9c859c13bde1 · inbound

Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network cites this paper.

Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:30:57.580642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68626a4e-221c-4002-a5bf-6e69ef22aba2 · inbound

Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network cites this paper.

Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T16:35:18.304442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11ec078-8615-4d8a-bc96-ceb4ea1c5ecb · inbound

Improving Evaluation of Recombination-based Cartesian Genetic Programming cites this paper.

Improving Evaluation of Recombination-based Cartesian Genetic Programming PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:33:17.377015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c609fdff-abc6-4b45-9272-65a9e6707cb9 · inbound

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis cites this paper.

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:22:37.115069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.