Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14027.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:19.691129Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7cb3a211-a9fe-417b-beac-60f7aee040f0 · inbound
Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows cites this paper.
Emulating compact binary population synthesis simulations with uncertainty quantification and model comparison using Bayesian normalizing flows AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:19.691129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34b2de89-f37d-4883-affa-1332f3a18f0a · inbound
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization
Reference 123
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:57:21.747220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.