Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:05.013048Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2506.12322.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:05.013048Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:51:18.657746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:08:55.596648Z
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8b37584d-9053-48b3-ba64-c380c1e7fc88 · outbound
Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review P., & Gomes, J
Reference 1
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
Reference 2
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
Reference 3
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
Reference 9
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review J., & Ben ´ ıtez, J
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review M., & Bernard, O
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review I., Forestier, G., Weber, J., Idoumghar, L., & Muller, P.-A
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review SPSA-FSR: Simultaneous Perturbation Stochastic Approximation for Feature Selection and Ranking
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
Reference 44
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review M., Herwig, C., & Kager, J
Reference 48
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Unresolved cited work
Reference 50
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review B., de Silva, V., & Langford, J
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review C., Soudier, P., & Faulon, J.-L
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review S., Seth, S., Mallick, K., Rahaman, Z., & Mallik, S
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review S., Escalante, S
Reference 102
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Bakirov, R., Gabrys, B., & Fay, D
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Yang, Y., Farid, S
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Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review L., Amicarelli, A
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