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Paper Citation Record · LEDGER

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1909.09157.

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

pith.paper-citation-record.v1
1909.09157 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:48:02.405832Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:50:28.690687Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 ff3083a4-cb52-409c-bb31-9c2da35b970d · inbound

qNBO: quasi-Newton Meets Bilevel Optimization cites this paper.

qNBO: quasi-Newton Meets Bilevel Optimization Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T16:48:02.405832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:48:02.405832Z digest=sha256:76f4543bf46a86520ac086842a8cc4bfb405b869121e1eb0c8bc4ddbb82ffc9e

Observation ed15e683-0028-46bc-a553-5bac6f2864f0 · inbound

CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs cites this paper.

CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:11.548793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:11.548793Z digest=sha256:be26b5edcbcaa1a54b0a52b150d5ef939025cd1fb816dcdca689023f0efe9aee

Observation ad93a083-41b9-4920-bae5-a99e692d63ea · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T23:13:19.635575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:13:19.635575Z digest=sha256:26a1515819849c587b9c380770795a75a28bcfee04557af5e64639783a4daaa7

Observation 96a34bd8-ef55-45d6-b8ad-ba46b04a9e27 · inbound

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures cites this paper.

Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:54.423207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:54.423207Z digest=sha256:6c33dc689404b209ea58623ac4a7f0ca8239a90abe135b3cb44e5f8b3fa82b35

Observation edcfc1a3-7d3b-4d1e-8cd1-74683301225b · inbound

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess cites this paper.

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T12:48:16.732228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:48:16.732228Z digest=sha256:6f024d6a95b366be55ee56acc2d380575191bd12fde41b47bea4172108691b9b

Observation a8754bb5-b36a-4bba-bb56-ff8f14b312af · inbound

Domain-Generalization to Improve Learning in Meta-Learning Algorithms cites this paper.

Domain-Generalization to Improve Learning in Meta-Learning Algorithms Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T21:10:26.756495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:10:26.756495Z digest=sha256:1d6d0a3636f2e1ea53cb5626c48331518945e45c732f6b940f793cc0ac0d548d

Observation 3a0c5bcb-c080-4416-be01-8c66dfc2d9ad · inbound

Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning cites this paper.

Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T12:48:05.422585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:48:05.422585Z digest=sha256:e9384e9ca73af85a00a29c19b0f1b2bda9135e458f0f10b891edd559606a9e83

Observation 0a3007e7-38d7-4814-8120-ea1c2fa698ef · inbound

Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis cites this paper.

Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T19:27:51.925502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:27:51.925502Z digest=sha256:72bab160a28963aaf87cb0029be9ad39efc23615366f3147912868b4f282c65d

Observation d00ccf63-19ce-4e10-9c43-87c640d1b004 · inbound

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning cites this paper.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T16:57:32.032744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:57:32.032744Z digest=sha256:8da274ed897930d18010f6cc63b54aa45712dc4d367dc25ad9571a0a55b25e34

Observation 5f2ba537-6531-4c34-ad40-7cf62ceaf318 · inbound

DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels cites this paper.

DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:41:36.057880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T06:41:04.989744Z digest=sha256:17dfaf5a869fcfbbdf30616f7d32caa7725e66ae03b9b38a070a78d6548ca46a

Observation 64c2339d-8d4a-4b87-9e9f-65a0f2e0b499 · inbound

DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels cites this paper.

DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T20:54:31.309418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T20:54:31.309418Z digest=sha256:715f4fec9f72b6c782957992b55da544edf02610255c18c8faa3651fd293338d

Observation c5623af1-7ced-4423-989b-3b197028f9c9 · inbound

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent cites this paper.

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.661494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:1aefaf77454c017dd12e222c510727edceb08f7b30f102de5815f22f2f8113ea

Observation d3888be0-19c9-4dcf-a026-ce6321ce6e33 · inbound

Continual Few-shot Adaptation for Synthetic Fingerprint Detection cites this paper.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:55:28.600704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:f49f110569253383cf05fce5861fdda8edf5a6ca20a801156954d926f1ee7130

Observation 89be0145-0db3-40f8-9b93-7dc25239888b · inbound

Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning cites this paper.

Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:53:24.769184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:51:28.987141Z digest=sha256:bcb9d7a3508048af8a324a1087dcc4d9cc8cb9dd89d438ed2b719903cfc611e4

Observation 41d3e297-06e8-4481-936b-1d118aafa7cb · inbound

Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning cites this paper.

Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:50:28.694177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T06:46:40.789706Z digest=sha256:edabe6750b1ed5cde9455c4e16d615310fa467eaa964eafb17e28e18c6932feb

Observation 2988517b-ae84-4287-a6a7-478c45d11637 · inbound

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation cites this paper.

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:00.270815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:54:28.388649Z digest=sha256:38176d3f1d720472d787381074fda60dea007943e6c47a67d26755c6e73eb205

Observation c8248fd0-f9eb-4dce-ae3c-b7b781a4a565 · inbound

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes cites this paper.

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:16.050443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:51:24.821614Z digest=sha256:60d41b31d446b15c6c616de09cb08f8080ddace724782cfd819886d54e138150

Observation 399bc9d6-7a07-45cf-85c7-7a6c26821edb · inbound

Second-Order Bilevel Optimization with Accelerated Convergence Rates cites this paper.

Second-Order Bilevel Optimization with Accelerated Convergence Rates Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:11.095213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T08:08:45.069685Z digest=sha256:145d2424e59a46257b226945e82d57e99a354fbeeb3ba47e440b0e8d2f41cf1e

Observation 1e0e2fa4-b619-410a-8ca9-3520374239b8 · inbound

SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification cites this paper.

SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:32:57.005997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 593cda1a-2f2c-42c4-8fa7-872aeda69a00 · inbound

From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning cites this paper.

From Trajectories to Instructions: Language-Conditioned Meta-Reinforcement Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:14.311571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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