Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved separation between quantum and classical computers for sampling and functional tasks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.20935.
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 2026-07-10T23:38:11.157041Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T23:47:46.712787Z
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 eed4c455-75e7-41a6-9f92-38483b3fbc81 · inbound
IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX cites this paper.
IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX Improved separation between quantum and classical computers for sampling and functional tasks
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T05:37:36.945245Z
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.
Observation 67344c3e-c2f1-43c8-8816-44fc9e739efa · inbound
Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data cites this paper.
Qudit extension of parameterized IQP circuits: A generative quantum machine learning approach to integer data Improved separation between quantum and classical computers for sampling and functional tasks
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:35:52.045799Z
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.
Observation ba4003d9-2c67-4bc9-ac7c-ff729828367b · inbound
Spectral Born machines: classically trainable quantum generative models for discrete data cites this paper.
Spectral Born machines: classically trainable quantum generative models for discrete data Improved separation between quantum and classical computers for sampling and functional tasks
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:47:46.730597Z
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.