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Paper Citation Record · LEDGER

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning

As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.09769.

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

pith.paper-citation-record.v1
2506.09769 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:27.553423Z

measured 13 of 13 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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ac290ed-48ec-49fd-946b-fa1d18aa7e34 · outbound

This paper cites Gossip training for deep learning.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Gossip training for deep learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:27.520448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc369c6a-c7e9-483a-9ec6-01932fb175bc · outbound

This paper cites How to scale distributed deep learning?.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning How to scale distributed deep learning?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:27.523987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:27.523987Z digest=sha256:bce91a690ef60bc74ac2fd177bf697308c4e545358416c9b4ed8e20451529e96

Observation 07715c79-b588-4d46-8842-3913747e01a8 · outbound

This paper cites Gossip learning with linear models on fully distributed data,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Gossip learning with linear models on fully distributed data,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.679792Z

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=2026-08-07T04:47:27.526998Z digest=sha256:6e2210dde9f349f0ad5d3a8ebe64f586a175f35e7048e589d40f627b8536c417

Observation 31121ef2-371c-40d3-ae5e-6a51d6a5804f · outbound

This paper cites Edge-consensus learning: Deep learning on p2p networks with nonhomogeneous data,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Edge-consensus learning: Deep learning on p2p networks with nonhomogeneous data,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.671752Z

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=2026-08-07T04:47:27.529814Z digest=sha256:e1b813e3645758b34c3d4e0936f538667b878dfc0268d661920fb84d8c292af1

Observation a0969a51-339f-456f-8358-03cf0396b740 · outbound

This paper cites Tram-fl: Routing-based model training for decentralized federated learning,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Tram-fl: Routing-based model training for decentralized federated learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.663754Z

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=2026-08-07T04:47:27.532647Z digest=sha256:143d7a31b90671b3b25e9b7875f1d522bd6054b3610e4b05e178fd8ac2187177

Observation ed459823-187a-4113-a4f6-1bdf788bbd66 · outbound

This paper cites Decentralized and model-free federated learning: Consensus-based distillation in function space,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Decentralized and model-free federated learning: Consensus-based distillation in function space,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.655265Z

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=2026-08-07T04:47:27.535288Z digest=sha256:57c7431232f2bf052a9eda0884d904b6e8260397c72b040ab7ab6c12b490954b

Observation 2f36c9d3-24a5-4431-9f4c-5ef9a5a488a1 · outbound

This paper cites Open-source federated learning frameworks for iot: A comparative review and analysis,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Open-source federated learning frameworks for iot: A comparative review and analysis,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.646006Z

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=2026-08-07T04:47:27.538123Z digest=sha256:e7a5d74247e7848d696968807f79d90371cfba65de2c6aa56321af7cb42ad931

Observation ff4ab704-50b0-4dc6-ac8a-2ebff9a03444 · outbound

This paper cites Forecasting short-term data center network traffic load with convolutional neural networks,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Forecasting short-term data center network traffic load with convolutional neural networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.637675Z

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=2026-08-07T04:47:27.540794Z digest=sha256:5161c7ddde2de464707cad4137e5f27cd154e319cdeaf4a2f26ce40965575d99

Observation 7d5eae2f-daa5-4593-88ee-ff9809e01420 · outbound

This paper cites Runtime power al- location based on multi-gpu utilization in gamess,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Runtime power al- location based on multi-gpu utilization in gamess,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.629023Z

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=2026-08-07T04:47:27.543243Z digest=sha256:08d90e39650f4202ba9392969c57cb3b1dd1090c12be336c01d916d314435802

Observation 41f0ae01-511d-4619-ad76-12bf884ce805 · outbound

This paper cites Model-based derivative-free optimization methods and software,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Model-based derivative-free optimization methods and software,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.620134Z

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=2026-08-07T04:47:27.545900Z digest=sha256:143dfe0280cd4c3c929014d791d165be7fb7bbb30cec9f6e00760bd09cb6e5a0

Observation 84a45c94-db49-4825-aae4-6360f921ac28 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Gradient-based learning applied to document recognition,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.611698Z

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=2026-08-07T04:47:27.548329Z digest=sha256:81f54209c63951bbcd436df73b1f4237674fe75b5ebabe386864753c21538755

Observation e5d23de3-eea7-462b-ad8d-a336c4de75b0 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Learning multiple layers of features from tiny images,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:47:27.550701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:47:27.550701Z digest=sha256:2e5b4491eaac05cecdddb93d6c4939c236bce19ed841a36b35de3ba13b53cf26

Observation b6554bab-b7eb-457d-9b47-3a5eef3d653f · outbound

This paper cites Deep residual learning for image recognition,.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Deep residual learning for image recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:47:27.596775Z

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=2026-08-07T04:47:27.553423Z digest=sha256:00de14e3bd7a4237dc5c97046bdbe8ca1b3ed154974393900253b296c0e08faa

Pith citing papers

No inbound Pith citation observations are available.