Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.15052.
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 2026-08-06T16:26:58.571348Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:06:15.294236Z
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 1030b647-c9d1-4893-b1b6-7d7d65700e0a · inbound
Apple Intelligence Foundation Language Models: Tech Report 2025 cites this paper.
Apple Intelligence Foundation Language Models: Tech Report 2025 Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:26:58.571348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cde7d86d-5877-483f-80f7-a268292c726c · 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 Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T03:29:21.485118Z
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 5f91cbc4-dc2c-4fa7-b1a7-448a098d30ca · 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 Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.296559Z
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 e9430e14-a9f1-4186-b8ea-18e2ccd84f87 · inbound
Multi-level context Modeling for consistent expert selection in Mixture-of-Experts cites this paper.
Multi-level context Modeling for consistent expert selection in Mixture-of-Experts Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:01:42.897579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 248168a5-3351-464d-97e0-7416d7d609d9 · inbound
SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding cites this paper.
SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:28:21.538572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.