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Paper Citation Record · LEDGER

Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.01240.

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

pith.paper-citation-record.v1
2504.01240 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:20:59.778092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T02:45:58.723940Z

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 2919f17f-8ba1-4c4f-855a-68bf7ad6354f · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:59.778092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:59.778092Z digest=sha256:3e5b1dc263ebe5e1063753de92fc463af0ac5e85026fe7752bbddb23c45a0e70

Observation 19d71ed9-4584-4fed-9503-87057a31eabc · inbound

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs cites this paper.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:45:58.726521Z

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=2026-05-11T02:42:04.741382Z digest=sha256:0576ab9ac6d49782ecb6362d3254e0c59c9c165427d67b4db55afd196119219b

Observation ee7ac98e-9be2-40d6-b91a-dcd596d9bbbf · inbound

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs cites this paper.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T17:18:42.590627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:18:42.590627Z digest=sha256:79119649216c4ffa273e5999dfd0000148e5c3ee95532391a2e5948feb81262a