Paper Citation Record · LEDGER

Balancing Client Participation in Federated Learning Using AoI

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.05099.

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

pith.paper-citation-record.v1
2505.05099 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:20:21.239798Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy14
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45292816-383a-4425-a25d-ed3d5b40bb9f · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Balancing Client Participation in Federated Learning Using AoI Communication-efficient learning of deep networks from decentralized data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.146696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1120d8c-81fa-4504-a4f9-45593b6c0f7e · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

Balancing Client Participation in Federated Learning Using AoI Federated learning: Challenges, methods, and future directions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.677402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation baca6338-cdd4-4068-9cff-20a47064897b · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Balancing Client Participation in Federated Learning Using AoI On the Convergence of FedAvg on Non-IID Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.153954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f852196-30d3-438f-af1b-2540ee890a5d · outbound

This paper cites Real-time status: how often should one update?.

Balancing Client Participation in Federated Learning Using AoI Real-time status: how often should one update?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.667066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4ee0ec1-6f9a-4f9f-b706-e00d1808e9cb · outbound

This paper cites Age of Information with packet management.

Balancing Client Participation in Federated Learning Using AoI Age of Information with packet management

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.655237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5afbcd1-5592-4849-93dd-407c591fca05 · outbound

This paper cites Age of Information: An introduction and survey.

Balancing Client Participation in Federated Learning Using AoI Age of Information: An introduction and survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.643906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71d40115-1ceb-49ed-a07e-1f16c59b4efe · outbound

This paper cites Age of Information in Multiple Sensing.

Balancing Client Participation in Federated Learning Using AoI Age of Information in Multiple Sensing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.632489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 807388f2-c131-4a7c-a809-65791f23292d · outbound

This paper cites Age of Information for Multiple-Source Multiple- Server Networks.

Balancing Client Participation in Federated Learning Using AoI Age of Information for Multiple-Source Multiple- Server Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.172037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848493d4-83a2-4b4b-9ccd-da7fb2749692 · outbound

This paper cites Resource management and model personalization for federated learning over wireless edge networks.

Balancing Client Participation in Federated Learning Using AoI Resource management and model personalization for federated learning over wireless edge networks

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T23:20:21.621811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdf10244-f7fa-40f8-ac00-1236221051aa · outbound

This paper cites Scalable and Reliable Over- the-Air Federated Edge Learning.

Balancing Client Participation in Federated Learning Using AoI Scalable and Reliable Over- the-Air Federated Edge Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.181946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e927e623-a1d7-425c-a3d8-64d14a031e24 · outbound

This paper cites Active Federated Learning.

Balancing Client Participation in Federated Learning Using AoI Active Federated Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.188594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6142a6c6-e0bb-4d37-9e98-626b1b70aca0 · outbound

This paper cites Clustered sampling: low-variance and improved representativity for clients selection in federated learning.

Balancing Client Participation in Federated Learning Using AoI Clustered sampling: low-variance and improved representativity for clients selection in federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.610988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b75a478-c784-43a8-b29e-f6602b342829 · outbound

This paper cites On the Tradeoff Between Heterogeneity and Communi- cation Complexity in Federated Learning.

Balancing Client Participation in Federated Learning Using AoI On the Tradeoff Between Heterogeneity and Communi- cation Complexity in Federated Learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.600162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06d8a0e4-083f-4b93-86ed-8b5a0025f50a · outbound

This paper cites Averaging is probably not the op- timum way of aggregating parameters in federated learning.

Balancing Client Participation in Federated Learning Using AoI Averaging is probably not the op- timum way of aggregating parameters in federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.588524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed3701ef-60fd-4bc8-9fec-46e994bbd2f1 · outbound

This paper cites Induced and reduced unbounded operator algebras.

Balancing Client Participation in Federated Learning Using AoI Induced and reduced unbounded operator algebras

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.204438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f4b81b-931f-45b8-a9b8-20f659f2636e · outbound

This paper cites Towards Faster and Better Federated Learning: A Feature Fusion Approach.

Balancing Client Participation in Federated Learning Using AoI Towards Faster and Better Federated Learning: A Feature Fusion Approach

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.207869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4744e1ca-09f5-49b8-9cfd-9a54f841bfeb · outbound

This paper cites Federated optimization in heterogeneous networks.

Balancing Client Participation in Federated Learning Using AoI Federated optimization in heterogeneous networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.211622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d145ec33-c019-4742-92e7-a2f44c861f4a · outbound

This paper cites Fedasmu: Efficient asynchronous federated learning with dynamic staleness-aware model update.

Balancing Client Participation in Federated Learning Using AoI Fedasmu: Efficient asynchronous federated learning with dynamic staleness-aware model update

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.568906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d2a3006-b184-4b5f-a5d0-e7d01127287e · outbound

This paper cites Feddc: Federated learning with non- iid data via local drift decoupling and correction.

Balancing Client Participation in Federated Learning Using AoI Feddc: Federated learning with non- iid data via local drift decoupling and correction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.555301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00e21e95-af38-4b9e-8c2a-c6e6d8f3938e · outbound

This paper cites Age-based scheduling policy for federated learning in mobile edge networks.

Balancing Client Participation in Federated Learning Using AoI Age-based scheduling policy for federated learning in mobile edge networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.543704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db8c05d6-1ef2-4cc9-89af-5700a46a63c1 · outbound

This paper cites Convergence acceleration in wireless federated learning: A Stackelberg game approach.

Balancing Client Participation in Federated Learning Using AoI Convergence acceleration in wireless federated learning: A Stackelberg game approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.530467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18be7ba6-7c62-49be-bef0-b230aa1eb9a2 · outbound

This paper cites Joint age-based client selection and resource allocation for communication-efficient federated learning over noma networks.

Balancing Client Participation in Federated Learning Using AoI Joint age-based client selection and resource allocation for communication-efficient federated learning over noma networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.519156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7335a3a-562c-405e-a5fd-833fc54c9f21 · outbound

This paper cites Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

Balancing Client Participation in Federated Learning Using AoI Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.231800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6cd968d-afa0-4cfc-bbdb-a41eda102803 · outbound

This paper cites A general theory for client sam- pling in federated learning.

Balancing Client Participation in Federated Learning Using AoI A general theory for client sam- pling in federated learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:20:21.507072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58ac44a7-2ff4-44e3-b8a9-fb75ec81ac75 · outbound

This paper cites Load Balanc- ing in Federated Learning.

Balancing Client Participation in Federated Learning Using AoI Load Balanc- ing in Federated Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T23:20:21.239798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.