Paper Citation Record · LEDGER

MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.11396.

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

pith.paper-citation-record.v1
2408.11396 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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:10.194640Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:24:40.063901Z

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 d891f58a-5400-4df7-bb2a-7d1c2f96a58f · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 212

Resolution: unresolved; no resolver link, observed 2026-08-10T18:56:38.022994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907bf571-b802-406e-ae24-3372bb7adbdc · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 222

Resolution: unresolved; no resolver link, observed 2026-08-08T04:58:35.331794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea588b62-2558-4966-a5cc-d945e281a0d7 · inbound

Kuwain 1.5B: An Arabic SLM via Language Injection cites this paper.

Kuwain 1.5B: An Arabic SLM via Language Injection MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:10.194640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb203baa-88d9-4ec0-b631-0ef5d575783d · inbound

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation cites this paper.

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:29:42.094849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ab7f9e-3a7f-46aa-b34d-259236ca89ec · inbound

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts cites this paper.

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:02.772284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58e7acd9-9b86-44f3-b3a1-1ddc654cc474 · 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 MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.065937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.