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Paper Citation Record · LEDGER

Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.00282.

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

pith.paper-citation-record.v1
2504.00282 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:13.131999Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:08:05.169339Z

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 5c91921e-9f7a-40bf-a22b-9e6e78972acd · inbound

A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention cites this paper.

A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:13.131999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:13.131999Z digest=sha256:8ce53bc93260e6c1691203643ef14e74c2bd45816e8d5fa5c295ced72e06a212

Observation f173c550-21b5-4116-b310-3f5e8f2404f9 · inbound

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning cites this paper.

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:08.712711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:08.712711Z digest=sha256:5a83f9a50e94bcdcf7d3edb855db7cd8e598b09b74800cc17a0ef477b111b5b2

Observation 05cf47e0-82e3-4fe2-8075-a840295d8e6d · inbound

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks cites this paper.

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:04:24.755207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:24.755207Z digest=sha256:e13d1cfcaf6f4c3760c9bff4e23a66da7cedfd4cf8f8b0a3370be2d9c8baf924

Observation 97d80d56-1117-4e25-8d0a-10dea7df240f · inbound

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures cites this paper.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:15.063576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:15.063576Z digest=sha256:edba3bf813064408ce45427d6e51c1247a03cf7d69bd69be181723900cc9518b

Observation 5c11e94a-8f11-432a-beb2-bb04710a011e · inbound

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment cites this paper.

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:59.784969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:59.784969Z digest=sha256:828bf4bec5a7e2c620826eca38eab60259de31445e2b8e0c85faed47b791445b

Observation 4f12ac02-f0bc-4acc-a872-16760b7b9714 · inbound

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks cites this paper.

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T22:21:59.974885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:21:59.974885Z digest=sha256:afe5305c3dd094f1e319cf35626efcb82cc6b433a5a3e2e6f469a485866ef064

Observation 654bc6bf-d7c8-44fd-acbb-2ca5a5815198 · inbound

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services cites this paper.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:34.738281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:34.738281Z digest=sha256:a1c6a12c105f63f18acee84faf978e412234455e45f5ae8ddee0fe04aa356e54

Observation b036b1e6-8ace-45c7-b186-ab117b344c77 · inbound

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems cites this paper.

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:08:05.173862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T15:08:05.070145Z digest=sha256:964ece7e78bada20cee34d9c6df7fde29638fbfc78dadf8b6fe387a1583d1711