Paper Citation Record · LEDGER

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.09788.

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

pith.paper-citation-record.v1
1908.09788 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:05:34.134140Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

38 of 38 outbound references displayed

verified exact4
verified fuzzy26
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f971ee3-cbe1-4285-8db0-1845996a689a · outbound

This paper cites Evolutionary Computation, Optimization and Learning Algorithms for Data Science.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Evolutionary Computation, Optimization and Learning Algorithms for Data Science

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:05:34.317297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02b67113-22f0-4757-b8cd-71c2d2001418 · outbound

This paper cites an unresolved cited work.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Unresolved cited work

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-14T11:05:34.300029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eefbb449-35e4-4d66-905d-ddc2834ebe3f · outbound

This paper cites Evolutionary principles in self-referential learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Evolutionary principles in self-referential learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.663138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3f2d047-4dda-44f2-94b7-afb883376698 · outbound

This paper cites Optimization as a model for few-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Optimization as a model for few-shot learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.649966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 258925fd-f0fd-49f9-91f6-36af172a07ba · outbound

This paper cites A perspective view and survey of meta-learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises A perspective view and survey of meta-learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.001549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a045ba7-6648-4c7a-bff0-0607c30bd42d · outbound

This paper cites Approximation to bayes risk in repeated play.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Approximation to bayes risk in repeated play

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.629451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6581f34d-2513-489b-bd65-1b1b7d337706 · outbound

This paper cites Prediction, learning, and games.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Prediction, learning, and games

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.010378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2543ff-f0e0-469b-b2fd-9e4de66247dd · outbound

This paper cites Rule-based machine learning methods for functional prediction.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Rule-based machine learning methods for functional prediction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.610503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03a6b13d-bdcb-444a-92d8-9a324e57a1da · outbound

This paper cites Advances in electronic phenotyping: from rule-based deﬁnitions to machine learning models.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Advances in electronic phenotyping: from rule-based deﬁnitions to machine learning models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.598600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b433a44-30c8-4b53-a4c5-06826fae0aff · outbound

This paper cites Artiﬁcial neural networks-based machine learning for wireless networks: A tutorial.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Artiﬁcial neural networks-based machine learning for wireless networks: A tutorial

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.585258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d45d39f3-65c9-4415-8646-4c531b60685b · outbound

This paper cites Cost-sensitive support vector machines.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Cost-sensitive support vector machines

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.573285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edeb8723-2723-4153-9184-61d036cb0d7d · outbound

This paper cites Integrated parallel k-nearest neighbor algorithm.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Integrated parallel k-nearest neighbor algorithm

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.561362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22f8c73c-58ec-42f4-95cb-55ddc8c9f279 · outbound

This paper cites The conformal bootstrap: Theory, numerical tech- niques, and applications.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises The conformal bootstrap: Theory, numerical tech- niques, and applications

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.549610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3779bf0-41cb-420f-b03d-19ce34933347 · outbound

This paper cites Learning a synaptic learning rule.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Learning a synaptic learning rule

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.537122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 053690d1-58d1-4bda-8734-11d59baf3dfa · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Long short-term memory.Neural computation, 9(8):1735–1780, 1997

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.041737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5723b8bc-18ac-4955-b72f-4463dfa2951e · outbound

This paper cites Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.045551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ceb9d0-0ca5-46ac-97b4-bce1184f2afc · outbound

This paper cites Meta- learning with memory-augmented neural networks.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Meta- learning with memory-augmented neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.518466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf5cd46e-579e-4a1c-a86f-608f8336488c · outbound

This paper cites Siamese neural networks for one-shot image recognition.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Siamese neural networks for one-shot image recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.507172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06887912-4924-467d-9afb-013a41bf11e6 · outbound

This paper cites Matching networks for one shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Matching networks for one shot learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.495140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa70006f-6ed1-4f9a-b1d8-e802bcb87702 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Model-agnostic meta-learning for fast adaptation of deep networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.483798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 700a9edc-72d5-4032-8658-8570ccd6e96a · outbound

This paper cites How to train your MAML.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises How to train your MAML

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.064605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d63fecd-d7f7-4b6e-8e77-b7ea1d8cc001 · outbound

This paper cites Probabilistic model-agnostic meta-learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Probabilistic model-agnostic meta-learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.470838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0d8318ee-9f9e-4ec7-a36c-9b8f6f4ba1c3 · outbound

This paper cites Prototypical networks for few-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Prototypical networks for few-shot learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.458328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be1bb8fb-930c-4d5b-b25c-16bda5d49456 · outbound

This paper cites Hierarchical Meta Learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Hierarchical Meta Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:05:34.205080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89ec07e6-7498-4f7f-87fd-6f0ad347fbe7 · outbound

This paper cites Learning to compare: Relation network for few-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Learning to compare: Relation network for few-shot learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.447196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d47d6c7f-4de2-4011-a5f2-1289646735c3 · outbound

This paper cites Edge-labeling graph neural network for few-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Edge-labeling graph neural network for few-shot learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.436034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc8da9d4-11a9-45ad-a3b3-b3a745f7a4ac · outbound

This paper cites Low-shot learning from imaginary data.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Low-shot learning from imaginary data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.424759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c8a1729-0240-4f85-a09b-95b814bb931e · outbound

This paper cites One-shot visual imitation learning via meta-learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises One-shot visual imitation learning via meta-learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.413701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aadfb877-3ce8-4950-a5dd-2f11c7cf9513 · outbound

This paper cites Learning deep representations of ﬁne-grained visual descriptions.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Learning deep representations of ﬁne-grained visual descriptions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.401995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e258705a-6b8a-47d4-81ce-847356595d6a · outbound

This paper cites Improving zero-shot learning by mitigating the hubness problem.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Improving zero-shot learning by mitigating the hubness problem

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.389230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad6389e0-2f63-4e0f-a49f-7859384f8bc2 · outbound

This paper cites Semantic autoencoder for zero-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Semantic autoencoder for zero-shot learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.376968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2422dc0d-b2b2-4319-9bc1-b96aef4e06e3 · outbound

This paper cites Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:05:34.184869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40b09ccd-2825-4e42-992d-c5559e3f7a03 · outbound

This paper cites Zero-shot visual imitation.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Zero-shot visual imitation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.365638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7650e071-b42f-4448-aeaf-3380024d57b7 · outbound

This paper cites Efros, and Trevor Darrell.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Efros, and Trevor Darrell

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.353833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd743f8a-a38c-4bcf-a23b-2613a9436af5 · outbound

This paper cites Human-level concept learning through probabilistic program induction.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Human-level concept learning through probabilistic program induction

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.121162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16a387b-580e-4559-8763-9d0948edf6c6 · outbound

This paper cites Online Meta-Learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Online Meta-Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.125165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a28fd6e-a4d8-47fd-8e4d-e2a3116b1d00 · outbound

This paper cites Meta-transfer learning for few-shot learning.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Meta-transfer learning for few-shot learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T11:05:34.129356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35be214e-38fe-4f8f-9d7e-8982351f9da7 · outbound

This paper cites Atmseer: Increasing transparency and controllability in automated machine learn- ing.

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises Atmseer: Increasing transparency and controllability in automated machine learn- ing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:05:34.328961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.