Paper Citation Record · LEDGER

Improving Federated Learning Personalization via Model Agnostic Meta Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1909.12488.

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

pith.paper-citation-record.v1
1909.12488 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:13:13.397855Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:47:05.777666Z

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 98aeb881-7d5e-4f06-b20d-457830ee2f85 · inbound

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion cites this paper.

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:08:55.555099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df42f321-13f8-4e92-9c6a-4a6bc6e9ddd8 · inbound

Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data cites this paper.

Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T16:48:42.983353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e3b7f58-7fbf-4bc9-9bda-912884eb11d9 · inbound

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression cites this paper.

Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:35:44.377546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 127fab4f-7e0e-49e9-878f-c56f4e306a68 · inbound

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning cites this paper.

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:29:19.603987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e6467b2-9c3f-4965-9bc7-bd7c85e2812d · inbound

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems cites this paper.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:32.479906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e5d0b3-b829-4028-94c5-c7ba1b9a5521 · inbound

Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization cites this paper.

Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T00:27:13.130005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20bcf3ed-de00-458a-be58-dcc9321f1101 · inbound

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions cites this paper.

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:58.256225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 533696a9-288b-49e3-bc85-c6696eefa77c · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:27.817834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd77d4a-d311-46c8-8674-1cb5ff0a0401 · inbound

The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing cites this paper.

The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:46.976358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a99a24-a87f-4580-b194-123d52feb0a0 · inbound

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields cites this paper.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T22:57:20.389192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc972a1b-c860-4ee1-a5b3-4b4ccb0ca33b · inbound

Federated Learning with Heterogeneous and Private Label Sets cites this paper.

Federated Learning with Heterogeneous and Private Label Sets Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:18:10.039966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 295fa256-1414-4a00-8835-8d4666815814 · inbound

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks cites this paper.

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:41.190170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af047e75-8419-415a-ba86-cfe78e1c25fc · inbound

Representation-Aligned Multi-Scale Personalization for Federated Learning cites this paper.

Representation-Aligned Multi-Scale Personalization for Federated Learning Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:56:01.447714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2456121-c503-48e8-8b82-069c898c26ce · inbound

Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic cites this paper.

Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-Critic Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:08:29.357060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d60feca-af81-4790-a5c0-f43d97129907 · inbound

Range Penalization: Theoretical Insights with Applications in Federated Learning cites this paper.

Range Penalization: Theoretical Insights with Applications in Federated Learning Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T07:57:44.672827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc1c2751-9614-4a78-88df-cff1151488ef · inbound

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems cites this paper.

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T13:47:05.778925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32e2e216-679f-4f4c-988a-42938281e9f6 · inbound

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes cites this paper.

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes Improving Federated Learning Personalization via Model Agnostic Meta Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:13:13.397855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.