Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GFlowNets for Hamiltonian decomposition in groups of compatible operators
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16041.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:33:58.215773Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T15:33:59.428285Z
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 10d6e7b5-c722-4128-b139-e9592c9d73f4 · inbound
Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing cites this paper.
Discrete Flow-Based Generative Models for Measurement Optimization in Quantum Computing GFlowNets for Hamiltonian decomposition in groups of compatible operators
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:17:44.062610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd935b9d-7f03-427c-9bf1-47a244eafe6e · inbound
Reducing quantum measurements in qubit-based overlapping grouping methods for quantum energy estimation through better initializations cites this paper.
Reducing quantum measurements in qubit-based overlapping grouping methods for quantum energy estimation through better initializations GFlowNets for Hamiltonian decomposition in groups of compatible operators
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T07:00:44.574658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca0db1c8-b2da-4f03-b51b-b55dcb7c16ce · inbound
Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier cites this paper.
Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier GFlowNets for Hamiltonian decomposition in groups of compatible operators
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T15:33:59.433195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.