Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust and Efficient Hamiltonian Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.00190.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:35:23.873045Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T07:46:04.251422Z
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 ead75410-96f2-407b-a2b0-7b21f87b4395 · inbound
Benchmarking Digital-Analog Quantum Computation cites this paper.
Benchmarking Digital-Analog Quantum Computation Robust and Efficient Hamiltonian Learning
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T07:46:04.254772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 381394a4-011c-43e0-b36e-d93fea9aa884 · inbound
A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing cites this paper.
A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing Robust and Efficient Hamiltonian Learning
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:35:23.873045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f480ef9-3f5f-4de7-89a6-e15fb7a3edec · inbound
Reconstructing the Hamiltonian from the local density of states using neural networks cites this paper.
Reconstructing the Hamiltonian from the local density of states using neural networks Robust and Efficient Hamiltonian Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:53:22.397568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.