Paper Citation Record · LEDGER

Low-latency machine learning FPGA accelerator for multi-qubit-state discrimination

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03852.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.03852 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:00:15.481743Z

measured 0 of 1 external citation measurements

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 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 2026-05-19T08:57:13.096218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-05-11T13:06:05.527919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-07-02T12:46:56.362059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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.