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Paper Citation Record · LEDGER

Cosmological model discrimination with Deep Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.05167.

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

pith.paper-citation-record.v1
1707.05167 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:27.913694Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T18:48:42.777510Z

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 a3d7cd16-f691-41d8-9f0a-0d0f8e6337f4 · inbound

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

Cosmological parameter estimation from large-scale structure deep learning Cosmological model discrimination with Deep Learning

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:27.913694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:47:27.913694Z digest=sha256:64c4a01318eb4877e8bffb174ccd6db26719aad15e7b4cdfef208dbedb40f893

Observation 0c671c31-3d4f-4d48-a057-06b1d6ffd8cc · 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 Cosmological model discrimination with Deep Learning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:48:42.780994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:48:42.427386Z digest=sha256:922796c3fadf54e804291bb2778199b8691b52c4bfe42a6393ce9afcbde8b6e9