Paper Citation Record · LEDGER

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.00138.

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

pith.paper-citation-record.v1
2501.00138 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:13.693920Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33692a4a-8b19-429f-be4c-b1871c622f12 · outbound

This paper cites Automated Machine Learning: From Principles to Practices.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Automated Machine Learning: From Principles to Practices

Reference 1

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Source-reported events for the cited work

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Observation c6ca1c42-0775-4ade-b2ad-066995b102df · outbound

This paper cites Hutter, L.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Hutter, L

Reference 2

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Observation 9d262eb6-07db-44f4-aae0-4edfa9a5ead2 · outbound

This paper cites Automl: A survey of the state-of-the- art,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Automl: A survey of the state-of-the- art,

Reference 3

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Observation 5e7288f8-aa08-47e7-974d-84eb182584d4 · outbound

This paper cites Benchmarking automl for regression tasks on small tabular data in materials design,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Benchmarking automl for regression tasks on small tabular data in materials design,

Reference 4

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Observation f74214a3-3a27-4be9-8e20-b73ded8f493a · outbound

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NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Unresolved cited work

Reference 5

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Observation 9e45d49b-d044-4b8f-b0d4-b00269e8a51c · outbound

This paper cites Blum and D.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Blum and D

Reference 6

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Source-reported events for the cited work

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Observation 2e68c62b-0ff7-47da-acb1-69f33f464493 · outbound

This paper cites No free lunch theorems for optimization,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines No free lunch theorems for optimization,

Reference 7

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Source-reported events for the cited work

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Observation 04dd241a-48ef-4a82-9d28-6ed33709b81b · outbound

This paper cites Human- centered ai in smart farming: Toward agriculture 5.0,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Human- centered ai in smart farming: Toward agriculture 5.0,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:14.062235Z

Source-reported events for the cited work

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Observation 66f20e2a-b25b-48c2-8aa5-e6b04a4ad20f · outbound

This paper cites Benchmark and survey of auto- mated machine learning frameworks,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Benchmark and survey of auto- mated machine learning frameworks,

Reference 9

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Observation fcaf5bab-a171-4759-8e94-eb3508ce3016 · outbound

This paper cites Automated machine learning—a brief review at the end of the early years,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Automated machine learning—a brief review at the end of the early years,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:14.024263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ac01d4d-ad01-4ddc-bd3f-4cfb07d9c91f · outbound

This paper cites Testing the applicability and performance of auto ml for potential applications in diagnostic neuroradiology,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Testing the applicability and performance of auto ml for potential applications in diagnostic neuroradiology,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:14.005697Z

Source-reported events for the cited work

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Observation c60d770e-83bb-4519-bdea-00d2a51ef606 · outbound

This paper cites Net-net auto machine learning (automl) prediction of complex ecosystems,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Net-net auto machine learning (automl) prediction of complex ecosystems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.987009Z

Source-reported events for the cited work

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Observation a3ab51d1-018e-4af8-a641-855d87128037 · outbound

This paper cites Continuous op- timizers for automatic design and evaluation of classification pipelines,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Continuous op- timizers for automatic design and evaluation of classification pipelines,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.967246Z

Source-reported events for the cited work

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Observation a774220b-accc-4dd3-acd7-6feb8b7ecb80 · outbound

This paper cites Niaaml2: An improved automl using nature-inspired algorithms,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Niaaml2: An improved automl using nature-inspired algorithms,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.949397Z

Source-reported events for the cited work

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Observation 6e6393d6-c95f-4be4-9e0b-33ab9ccc6509 · outbound

This paper cites Niaarm: A minimalistic framework for numerical association rule mining,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Niaarm: A minimalistic framework for numerical association rule mining,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.931123Z

Source-reported events for the cited work

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Observation 72074412-c98e-48e9-90d2-7b2e91a805c6 · outbound

This paper cites Differential evolution for association rule mining using cate- gorical and numerical attributes,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Differential evolution for association rule mining using cate- gorical and numerical attributes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.914603Z

Source-reported events for the cited work

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Observation 6db13e16-6826-4e37-a1e6-9480be03b7e6 · outbound

This paper cites NiaPy: Python microframework for building nature-inspired algorithms,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines NiaPy: Python microframework for building nature-inspired algorithms,

Reference 17

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Source-reported events for the cited work

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Observation 17f2dfbb-e7cf-4f67-b041-ff640aeee969 · outbound

This paper cites Variable-length differential evolution for numerical and discrete association rule mining,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Variable-length differential evolution for numerical and discrete association rule mining,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.897480Z

Source-reported events for the cited work

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Observation a846f5ef-ee91-4ed6-92e0-9640e95d8dc3 · outbound

This paper cites Differential Evolution – A Simple and Effi- cient Heuristic for Global Optimization over Continuous Spaces,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Differential Evolution – A Simple and Effi- cient Heuristic for Global Optimization over Continuous Spaces,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.879962Z

Source-reported events for the cited work

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Observation ca71e545-37fd-4e59-b6aa-0beeee01ea9c · outbound

This paper cites Particle swarm optimization,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Particle swarm optimization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.861924Z

Source-reported events for the cited work

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Observation 94eb39db-eab5-48d0-a0a6-c8ac81b319a4 · outbound

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NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation ccc4a598-fc92-4b92-8d29-7599180b4a08 · outbound

This paper cites Improving the search performance of {SHADE} using linear population size reduction,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Improving the search performance of {SHADE} using linear population size reduction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.826425Z

Source-reported events for the cited work

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Observation 3b045d7f-8f30-4573-a6ce-82bf2adf4904 · outbound

This paper cites Il-shade: Improved l- shade algorithm for single objective real-parameter optimization,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Il-shade: Improved l- shade algorithm for single objective real-parameter optimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.807614Z

Source-reported events for the cited work

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Observation 5399ebbf-e135-4b60-a55c-8025c3b5673e · outbound

This paper cites Self- adapting control parameters in differential evolution: A compara- tive study on numerical benchmark problems,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Self- adapting control parameters in differential evolution: A compara- tive study on numerical benchmark problems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:04:13.787860Z

Source-reported events for the cited work

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Observation 2611271e-f234-4763-84a6-4518e6b2119d · outbound

This paper cites UCI machine learning repository,.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines UCI machine learning repository,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:13.693920Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.