Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14101.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:49:32.746984Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:06:53.010219Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 4dba9641-8d09-46da-908a-51da8624749f · inbound
Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0bdb2756-f106-429f-bed8-3e5419627b4c · inbound
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b5384b5e-0aae-4e0c-b53a-ea380c2c7b21 · inbound
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 36be176d-1fc1-4328-8e97-2068e9097f3a · inbound
Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms
Reference 173
Source-reported events for the cited work
Unavailable: canonical work link unavailable.