Paper Citation Record · LEDGER

Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.09756.

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

pith.paper-citation-record.v1
2402.09756 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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:53:53.341806Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:57:07.658420Z

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 629ff3e5-d0a1-488e-8cf9-968f779ff8c5 · inbound

Context-Aware Semantic Communication for the Wireless Networks cites this paper.

Context-Aware Semantic Communication for the Wireless Networks Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:53.341806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817babdb-d0d0-4d36-978f-99501c9774d3 · 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 Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T16:20:59.305304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c15cb8b-7b78-4bf6-8d19-d09990949a5e · inbound

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models cites this paper.

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:51.753820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa6d00c3-3af3-488f-a945-be9a15916765 · inbound

OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization cites this paper.

OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:03.867037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eb3ebe0e-73a2-48f0-973e-ee38a48b30f7 · inbound

MORES: Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling cites this paper.

MORES: Mobile Reasoning-as-a-Service via Distributed LLM Inference-Time Scaling Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-10T12:57:07.659638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce1b2172-ee05-4f7d-bbae-c013a0c80fc4 · inbound

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation cites this paper.

Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:03:24.277058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.