Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Convolutional neural networks as an alternative to Bayesian retrievals
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.01236.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:15:08.851954Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:44:44.726549Z
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 4647dbf6-346b-47e4-a7fa-984c07ea319e · inbound
A Next-Generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM, and MIRI Observations cites this paper.
A Next-Generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM, and MIRI Observations Convolutional neural networks as an alternative to Bayesian retrievals
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:15:08.851954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0908bcdd-79c9-4431-80f1-c8d5f5a2ddc9 · inbound
Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy cites this paper.
Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy Convolutional neural networks as an alternative to Bayesian retrievals
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T23:44:44.772307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.