Paper Citation Record · LEDGER

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.15708.

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

pith.paper-citation-record.v1
2411.15708 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:40.370322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:29.875637Z

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 5793c7b5-7f93-4846-9b7a-f8fbe9f3ce0e · inbound

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma cites this paper.

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:40.370322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ce4cae-154d-4955-abb1-e94867c992a2 · inbound

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis cites this paper.

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:31.083706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3cb4d6b-c2dd-413a-b985-6b5e5fd98a76 · inbound

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation cites this paper.

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:47:26.933964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b22427e4-2144-442c-a260-4de405b9b4ab · inbound

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference cites this paper.

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:45:52.062735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b53b3918-19bd-483b-a301-bf0f97f2f32a · inbound

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs cites this paper.

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.055476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3a068bb-1cad-493a-9633-59777f5429fa · inbound

Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention cites this paper.

Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:49:29.877090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.