Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinventing High Performance Computing: Challenges and Opportunities
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.02544.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:22:16.105705Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:06:38.195729Z
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 82c35283-b7ad-4ffc-8465-c759021441a3 · inbound
Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression cites this paper.
Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Reinventing High Performance Computing: Challenges and Opportunities
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:54:11.776306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e33af1c-37ca-4ab3-a77f-a84c89132027 · inbound
KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads cites this paper.
KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads Reinventing High Performance Computing: Challenges and Opportunities
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:30:23.717161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26aac6c7-38d5-46a7-af0d-6980f9a78b83 · inbound
Usability Evaluation of Cloud for HPC Applications cites this paper.
Usability Evaluation of Cloud for HPC Applications Reinventing High Performance Computing: Challenges and Opportunities
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:21:05.347757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93fb4b54-cceb-4567-b71f-0c6a727db915 · inbound
Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview cites this paper.
Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview Reinventing High Performance Computing: Challenges and Opportunities
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:22:16.105705Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11d40504-e1d8-46b7-872f-f233acec1af2 · inbound
General-Purpose Photonic Computing Primitive for Contemporary Artificial Intelligence cites this paper.
General-Purpose Photonic Computing Primitive for Contemporary Artificial Intelligence Reinventing High Performance Computing: Challenges and Opportunities
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:06:38.199548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.