Paper Citation Record · LEDGER

Deep learning dark matter map reconstructions from DES SV weak lensing data

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1908.00543.

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

pith.paper-citation-record.v1
1908.00543 v2

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:27.730113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:43:43.940962Z

Reference resolution

0 of 0 outbound references displayed

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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 daf219a7-88b9-4dcf-9f1b-166f68ee117c · inbound

Cosmological parameter estimation from large-scale structure deep learning cites this paper.

Cosmological parameter estimation from large-scale structure deep learning Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:27.730113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573ada2c-f3c9-476e-9268-5ed0c4e4e120 · inbound

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution cites this paper.

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:48:42.389748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3072f24-5606-4537-ba4e-7b8c4fdea923 · inbound

DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg$^2$ View of Cosmic Structure from 270 Million Galaxies cites this paper.

DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg$^2$ View of Cosmic Structure from 270 Million Galaxies Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:43:44.033367Z

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.

Observation a21fcd62-353c-492b-8b3d-56bb516a128d · inbound

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models cites this paper.

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 101

Resolution: unresolved; no resolver link, observed 2026-07-31T05:29:29.971620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.