Paper Citation Record · LEDGER

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.01172.

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

pith.paper-citation-record.v1
2309.01172 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:29:41.242474Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.410252Z

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 9213aa9a-a60f-45f9-8d9c-31be3978d7eb · inbound

DeServe: Towards Affordable Offline LLM Inference via Decentralization cites this paper.

DeServe: Towards Affordable Offline LLM Inference via Decentralization FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:16:53.092171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 f299a5c1-6fb1-4442-9b4a-0fd91086e232 · inbound

Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework cites this paper.

Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:29:41.242474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7f853b-e695-49f8-9ea5-b34f2480fe83 · inbound

On Harnessing Idle Compute at the Edge for Foundation Model Training cites this paper.

On Harnessing Idle Compute at the Edge for Foundation Model Training FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:31:19.185684Z

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 935b8f21-0e9a-4442-b8c2-04f8b34eeab5 · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.411798Z

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 47e69b2b-95f3-4a1d-afc4-e5ac12db2217 · inbound

Decentralised AI Training and Inference with BlockTrain cites this paper.

Decentralised AI Training and Inference with BlockTrain FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T12:29:35.403453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.