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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 2026-08-15T06:32:42.880941+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.

source=pdf_text observed=2026-08-10T21:57:32.463657Z digest=sha256:fc80d2afe41b25722e283e1ca6fbbde742eefbb0f66893913564b4c76ed392a5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.468304Z digest=sha256:68f98ba51d6431c499a3a3a9a1d2e3b4995d5845426a8b5d89bfbf2cec206bef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.472034Z digest=sha256:07b4ee15c201ca382eb9f3745c7a2a727bf15b12f9a7b6907949547cce71ca35

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.483882Z digest=sha256:be60624d598214843f135b9c71b94c5265de1b84cb7d40c6b8490127a498ce2e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.487782Z digest=sha256:fa7a4f1e51d5acd2c3edd7ffa59e3678aa31cc7b72e46b557a6b3485699afe52

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.491514Z digest=sha256:3d7d50898f3a291ea8dcad3f7ca1452e929c1ee3fc1a302e24985d4c4a2e1c98

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.495233Z digest=sha256:b58e88409d244f57f2c82cc630743b95e40458e5e6a915f02508cf0f603a7381

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.498739Z digest=sha256:fd6842f4c0fc7b682c8765caeca084d8c25437966a749d5a0064ee4349a7e45a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.502231Z digest=sha256:38c84edee1189f40b03af7631ba199dae4bf9857287abaff092f02ae09dade44

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.505572Z digest=sha256:f81beb6463f6a0532d8f519f2c1d85d6d4f3a6ccbfd9fa9a590c5ca8c8442b68

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.

source=pdf_text observed=2026-08-10T21:57:32.509314Z digest=sha256:4e3dd95adba281b50094220a74a8641640b261c577d994c0ebcbf107047e2805

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.513575Z digest=sha256:d5359dbd3bc00925ef92c3ec486416daefcdce13263d74b908ab03ffc5c7384e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:57:32.520644Z digest=sha256:a9ef2943caea563d8aa572bdacab51397799b01f94f9a5e79b988f7f32b60a1b

Pith citing papers

No inbound Pith citation observations are available.