Paper Citation Record · LEDGER

Multifield Cosmology with Artificial Intelligence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.09747.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2109.09747 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:05:14.113855Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T16:45:51.725461Z

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 7f5e220b-94d6-44c9-a963-d3d11a386f72 · inbound

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching cites this paper.

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching Multifield Cosmology with Artificial Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:14.113855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d600c671-34c6-4ed7-b5c6-01b05c477eea · inbound

Probabilistic cosmological inference on HI tomographic data cites this paper.

Probabilistic cosmological inference on HI tomographic data Multifield Cosmology with Artificial Intelligence

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T12:36:40.064517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d9d75b-1362-472e-8102-939240ae6897 · inbound

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology cites this paper.

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology Multifield Cosmology with Artificial Intelligence

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:20.954492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f428a59d-3209-4a26-ba6f-f61c3a34ad3d · 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 Multifield Cosmology with Artificial Intelligence

Reference 109

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T16:45:51.727186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.