Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.10915.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:48:14.259575Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:45:51.722557Z
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 d2a5ef80-1db2-4d6f-b84d-562312e18836 · inbound
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference cites this paper.
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:48:14.259575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 774db906-867f-4221-a742-9b6e9035e124 · inbound
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps cites this paper.
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Reference 118
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:45:51.724092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.