Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.11280.
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 2026-06-28T04:42:25.089569Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:06:53.112893Z
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 8e2759c8-1ce3-4a7f-b167-c4f8f7571b91 · inbound
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction cites this paper.
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T02:53:55.219901Z
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.
Observation 55c7323b-d95f-4902-a9a3-b06b2e153d8a · inbound
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning cites this paper.
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:06:53.114382Z
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.