Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.11698.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:30:43.901378Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:20:23.255455Z
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 db4e5762-8dba-4c1f-9515-7b8a8f8d99bb · inbound
400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects cites this paper.
400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:30:43.901378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68d04b40-3c81-4bd4-a9a2-3ceba3ce4311 · inbound
SLOTH: Lightweight Detection and Localization of On-Chip Fail-Slow Failures for DNN Accelerators cites this paper.
SLOTH: Lightweight Detection and Localization of On-Chip Fail-Slow Failures for DNN Accelerators A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:56:27.952106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cbb317b-873c-41f5-83f5-b2c530f05d1e · inbound
SpaDA: A Spatial Dataflow Architecture Programming Language cites this paper.
SpaDA: A Spatial Dataflow Architecture Programming Language A Comparison of the Cerebras Wafer-Scale Integration Technology with Nvidia GPU-based Systems for Artificial Intelligence
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:20:23.257721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.