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Paper Citation Record · LEDGER

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.03448.

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

pith.paper-citation-record.v1
2501.03448 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:32.520644Z

measured 16 of 16 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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93285d09-98c2-4f9a-852a-6b2077d2799f · outbound

This paper cites Wireless communi cations for collaborative federated learning,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Wireless communi cations for collaborative federated learning,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:32.463657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c441f8d7-054d-44fa-a7d6-6b6ab3d55b8e · outbound

This paper cites Client s election and cost-efficient joint optimization for NOMA-enabled hie rarchical federated learning,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Client s election and cost-efficient joint optimization for NOMA-enabled hie rarchical federated learning,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.710042Z

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.

source=pdf_text observed=2026-08-10T21:57:32.468304Z digest=sha256:67e824730b4bffd0589c2e27f554ead92308ddcfdd067748ba15d1b59e87c4da

Observation 2d7b9f66-f52c-4893-a97c-7c523e4fbd1c · outbound

This paper cites Federate d learning and meta learning: Approaches, applications, and directio ns,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Federate d learning and meta learning: Approaches, applications, and directio ns,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.698710Z

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.

source=pdf_text observed=2026-08-10T21:57:32.472034Z digest=sha256:78e8f46c283db7096b638d18d205edfde6f9484fffffde96561847c3b3a72646

Observation 8c963445-63e5-4d8c-8d52-a654a3b50886 · outbound

This paper cites Federated Meta-Learning with Fast Convergence and Efficient Communication.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Federated Meta-Learning with Fast Convergence and Efficient Communication

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:32.475863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:32.475863Z digest=sha256:2631eda258042fd2b9e92d4a5f3d49d1819a6a92078ddb5d3cc9fb20a9dd73aa

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

This paper cites Improving Federated Learning Personalization via Model Agnostic Meta Learning.

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

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:32.479906Z digest=sha256:a6f717099907fbc1918f19989b20c5562c3a5c0a37f6a339d5f56323ffd27113

Observation 752dce3d-1d68-4428-a9a8-d3cb3a4d8f81 · outbound

This paper cites Inexact-ADMM based federated meta-learning for fast and continual edge learni ng,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Inexact-ADMM based federated meta-learning for fast and continual edge learni ng,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.686423Z

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.

source=pdf_text observed=2026-08-10T21:57:32.483882Z digest=sha256:cbff0b8780ef49f73e873027c2bb263cb9ed3f17018371acfeedf9b85c812eda

Observation b2d4ae9b-0850-4201-8363-383318e2b051 · outbound

This paper cites E fficient federated meta-learning over multi-access wireless netwo rks,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems E fficient federated meta-learning over multi-access wireless netwo rks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.674433Z

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.

source=pdf_text observed=2026-08-10T21:57:32.487782Z digest=sha256:732684880bae588fb6bd36cdcdaaa41c9cd34cda5171d6f86dfd820756e263ee

Observation 3d7e7aff-165c-49b4-a18b-27d9216b0bc4 · outbound

This paper cites Communication-efficient personalized federated meta-learning in edge networks,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Communication-efficient personalized federated meta-learning in edge networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.663205Z

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.

source=pdf_text observed=2026-08-10T21:57:32.491514Z digest=sha256:a39c8a290afb403d357821eb236eef443f6ff551c70be01e24671c199a0a9278

Observation 7867e3c2-adca-4b6b-abff-1ae449f98c42 · outbound

This paper cites Efficient wireless tr affic prediction at the edge: A federated meta-learning approach,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Efficient wireless tr affic prediction at the edge: A federated meta-learning approach,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.651184Z

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.

source=pdf_text observed=2026-08-10T21:57:32.495233Z digest=sha256:f0ed168fcd3cb09f87adc167651fa244a7c1620bd084743940861fbf5488cfb0

Observation 2011a8a4-24fa-4308-9a71-aee382ef62d1 · outbound

This paper cites A blockchain-based reliable federated meta-learning for me taverse: A dual game framework,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems A blockchain-based reliable federated meta-learning for me taverse: A dual game framework,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.638481Z

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.

source=pdf_text observed=2026-08-10T21:57:32.498739Z digest=sha256:a4f5899e17ddd0c0531541c3fd87d2c8b3213f0d86d899c137b51ca7f2f4d2d5

Observation 7d796568-46f5-48f6-abd9-71f8865b6586 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic me ta-learning approach,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Personalized federated learning with theoretical guarantees: A model-agnostic me ta-learning approach,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.626392Z

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.

source=pdf_text observed=2026-08-10T21:57:32.502231Z digest=sha256:03f3578bbfe02d8ae33f2e3d693b11c27b4c0d93870963084224dab40c5bdd54

Observation 402b42eb-5ed0-4449-8701-77b3506b2d86 · outbound

This paper cites Federated learning over wireless n etworks: Convergence analysis and resource allocation,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Federated learning over wireless n etworks: Convergence analysis and resource allocation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.615841Z

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.

source=pdf_text observed=2026-08-10T21:57:32.505572Z digest=sha256:959d178ea2256c8de6cf6cb94b3b3c6d13a47120edddb1d683d79f5ff4b4b15c

Observation fec4f5cc-3ed8-494a-991e-91596dedb4a4 · outbound

This paper cites Processor design for por table systems,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Processor design for por table systems,

Reference 13

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unresolved
no resolver link, observed 2026-08-10T21:57:32.509314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 367cdf23-fa74-4154-83ef-f3cef19e9137 · outbound

This paper cites A survey on non-orthogonal multiple access for 5 G networks: Research challenges and future trends,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems A survey on non-orthogonal multiple access for 5 G networks: Research challenges and future trends,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.598827Z

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.

source=pdf_text observed=2026-08-10T21:57:32.513575Z digest=sha256:32d9fb3579da34b8c18806a46356445371dca3e1c5da7a56f24931f0f97f10c9

Observation 70d2de43-badf-442f-b5db-bb9a53d8808e · outbound

This paper cites Toward Understanding the Impact of Staleness in Distributed Machine Learning.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Toward Understanding the Impact of Staleness in Distributed Machine Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:32.516732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:32.516732Z digest=sha256:07ffd49bdd6d977780d114dd74a7b68ed6b2f49a1ff87b89a1c56bacfb339169

Observation b199aa31-4d64-431a-b3b4-22cfd04b732b · outbound

This paper cites A PDDQNLP algorithm for energy efficient computation offloadi ng in UA V-assisted MEC,.

Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems A PDDQNLP algorithm for energy efficient computation offloadi ng in UA V-assisted MEC,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:57:32.587473Z

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.

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Pith citing papers

No inbound Pith citation observations are available.