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Paper Citation Record · LEDGER

Velocity recostruction with graph neural networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14239.

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

pith.paper-citation-record.v1
2402.14239 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:48:42.587118Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1aadce56-065e-49d2-92a9-48007861d93d · 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 Velocity recostruction with graph neural networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T18:48:42.587118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:48:42.587118Z digest=sha256:880bc290ff2bd3fa829463173c7bac4a69bff8c2d7ca2a57e157cc3a7d48476e

Observation edd9eac1-e91d-4aeb-9afe-d018da49a0c3 · inbound

Cosmology with Topological Deep Learning cites this paper.

Cosmology with Topological Deep Learning Velocity recostruction with graph neural networks

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:46:18.364053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:46:16.355155Z digest=sha256:c6d443bba70cff3f9713610d57d1abbf00df5cf6a0614bc40de3054546c4046c

Observation 139384e2-3840-424f-946a-c7b9568e5aa5 · inbound

Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects cites this paper.

Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects Velocity recostruction with graph neural networks

Reference 171

Resolution
unresolved
no resolver link, observed 2026-07-31T23:49:32.632215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:49:32.632215Z digest=sha256:f8125d7c5a0978465835506097f5b39b246e22cb5ade8e2797e445208fd3f67c