Paper Citation Record · LEDGER

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.10419.

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

pith.paper-citation-record.v1
2502.10419 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:56:15.726976Z

measured 13 of 13 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 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 exact1
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b5b3fe7-98ca-4fbf-8cec-d5fabbe15212 · outbound

This paper cites an unresolved cited work.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:56:15.831640Z

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.

Observation e4c031a8-64bc-4429-9ce2-e418d34c7645 · outbound

This paper cites Federated Large Language Models: Current Progress and Future Directions.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Federated Large Language Models: Current Progress and Future Directions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.726976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d986f6a2-134a-42a7-a82f-73d406ea4846 · outbound

This paper cites an unresolved cited work.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:56:15.811327Z

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.

Observation 304a01db-aa38-42d3-b22a-0a848c4dc365 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Proximal Policy Optimization Algorithms

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.718099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b46cfe-26e0-41d6-b6a3-5a72d7060095 · outbound

This paper cites Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.704201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fde4ffe-5c5f-4f1f-889e-f81e28d1e26d · outbound

This paper cites M., Alharbi, A.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments M., Alharbi, A

Reference 201

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:56:15.796738Z

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.

Observation 2b80d35d-00de-4a18-9365-460b8e38bed5 · outbound

This paper cites an unresolved cited work.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Unresolved cited work

Reference 267

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:56:15.817964Z

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.

Observation 454473fb-8185-4b3c-be3c-b9b2ef9eac2d · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 763

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.715696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea164e13-f6d4-4283-bd3c-bcd89a0ca940 · outbound

This paper cites FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 964

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.722376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946a0fbe-3947-44ec-93f2-d18417d38350 · outbound

This paper cites an unresolved cited work.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Unresolved cited work

Reference 1420

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:56:15.804261Z

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.

Observation 4ae8ccbb-6a94-4ce4-b5d3-59343755c549 · outbound

This paper cites pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving

Reference 4479

Resolution: unresolved; no resolver link, observed 2026-08-09T13:56:15.713427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a81cd2-1189-4a83-b32f-574a8f7f2f01 · outbound

This paper cites an unresolved cited work.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Unresolved cited work

Reference 5068

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:56:15.824935Z

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.

Observation 92916209-d8e7-4227-8774-1cf5ba050c33 · outbound

This paper cites Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks.

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks

Reference 6566

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:56:15.788548Z

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.

Pith citing papers

No inbound Pith citation observations are available.