Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14705.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T01:32:40.435742Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6874725e-f5b4-4b49-a59c-ee7b452f77f4 · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:56:42.536369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 21e857c4-df1f-49e1-bff8-ac8d1c221c1c · inbound
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models cites this paper.
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:50:07.408393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a5d4eb8e-f8e3-4c3e-b53c-4d4bda061ca5 · inbound
InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models cites this paper.
InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:55:59.323075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6f66e3b0-76c4-4daa-b866-a951894e277c · inbound
AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.
AlignCultura: Towards Culturally Aligned Large Language Models? Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:04.781500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2044f7f2-f18b-4461-a0ec-af99e0563afb · inbound
GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models cites this paper.
GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T15:39:56.554064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.