Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2509.09813.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T05:21:32.503461Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T05:24:31.874200Z
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 d5b1ffc1-07a3-489f-8cc5-127005b2c231 · inbound
Heisenberg-limited Hamiltonian learning without short-time control cites this paper.
Heisenberg-limited Hamiltonian learning without short-time control Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:31:28.930400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4fed7462-dc31-4eda-8974-5cc21e337986 · inbound
Provable learning separation for predicting time-evolution of quantum many-body systems cites this paper.
Provable learning separation for predicting time-evolution of quantum many-body systems Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances
Reference 92
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T05:24:31.875737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.