Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2602.03729.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-07T14:13:08.811592Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:46:13.506523Z
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 8232d40b-6cac-48a2-8a1f-ea8c4a5bdf98 · inbound
Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics cites this paper.
Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-23T04:14:07.482537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.