Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A deep learning model for the density profiles of subhaloes in IllustrisTNG
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.12125.
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 2026-08-07T20:33:58.255752Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:44:21.868391Z
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 69231a96-7f0e-4920-aa70-a9a3d4807477 · inbound
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum cites this paper.
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum A deep learning model for the density profiles of subhaloes in IllustrisTNG
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:33:58.255752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7838530-afc3-4f73-aa08-dcc27feb9c52 · inbound
QUEST (Quasar Unsupervised Encoder and Synthesis Tool): A machine learning framework to generate quasar spectra cites this paper.
QUEST (Quasar Unsupervised Encoder and Synthesis Tool): A machine learning framework to generate quasar spectra A deep learning model for the density profiles of subhaloes in IllustrisTNG
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:44:21.871227Z
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 302cf197-1f54-4a05-8089-dff7e63a6950 · inbound
What's Missing in AGN Feedback? Lessons learnt from Magneticum, IllustrisTNG and Simba cites this paper.
What's Missing in AGN Feedback? Lessons learnt from Magneticum, IllustrisTNG and Simba A deep learning model for the density profiles of subhaloes in IllustrisTNG
Reference 215
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:26:18.919126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.