Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.07866.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:19.635612Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:42:54.901967Z
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 ae8a0f33-966f-4e18-a903-068885adbd8c · inbound
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs cites this paper.
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:31:19.635612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3384a1ed-1bc0-485a-a9ee-9c8cc5c7e483 · inbound
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition cites this paper.
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:16:17.799350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce6aad45-0f9c-41e0-821f-f63fd101f759 · inbound
Adaptive Preconditioners Trigger Loss Spikes in Adam cites this paper.
Adaptive Preconditioners Trigger Loss Spikes in Adam Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:42:54.906802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.