Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2506.18349.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T12:39:25.535897Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:43:25.580785Z
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 4d4a5acc-75a2-4225-bddb-637d91878c92 · inbound
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T03:29:21.477510Z
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 f3091ad0-4e77-452b-8eb4-44f7fd349f6f · inbound
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.342964Z
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 9eb82aee-218f-43e1-ac45-286752f3db72 · inbound
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:16:28.297698Z
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 140c4f58-c62c-4443-b1e7-bc6a9b4b382f · inbound
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:23:51.279419Z
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 68144bee-6c3d-43a6-8339-6be28052966a · inbound
Pruning and Distilling Mixture-of-Experts into Dense Language Models cites this paper.
Pruning and Distilling Mixture-of-Experts into Dense Language Models SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:43:25.582189Z
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.