Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.03852.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:58:53.796149Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:46:56.360645Z
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 b38cb597-809c-4410-b2de-d462ee79331f · inbound
End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml cites this paper.
End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:58:53.796149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 790c0a34-efc8-4060-9528-d5403e7f453a · inbound
Superconducting Qubit Readout Using Next-Generation Reservoir Computing cites this paper.
Superconducting Qubit Readout Using Next-Generation Reservoir Computing Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-08-18T02:15:25.932073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc330292-73f2-4c24-839f-548b88ee6fd4 · inbound
Design Rules for Extreme-Edge Scientific Computing on AI Engines cites this paper.
Design Rules for Extreme-Edge Scientific Computing on AI Engines Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-08-18T02:15:25.932073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23dcd0f2-5af9-47ed-a415-32cfa056d908 · inbound
When AI meets quantum information: A comprehensive review cites this paper.
When AI meets quantum information: A comprehensive review Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-08-18T02:15:25.932073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 982454b4-e225-4df1-be2a-94e51f8f634e · inbound
Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout cites this paper.
Multi-Stage Mamba-Based Architecture for Fast and Scalable Superconducting Qubit Readout Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T04:00:15.481743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.