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Paper Citation Record · LEDGER

Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14101.

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

pith.paper-citation-record.v1
2406.14101 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 2026-08-03T06:30:56.289259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:49:32.746984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:06:53.010219Z

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 4dba9641-8d09-46da-908a-51da8624749f · inbound

Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology cites this paper.

Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:39:38.510760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T10:36:36.314455Z digest=sha256:3747df5b288cb9c06d42a11bf58c1dc0e728236dec48edc0f36bbe6ea6820ae7

Observation 0bdb2756-f106-429f-bed8-3e5419627b4c · inbound

Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction cites this paper.

Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:53:55.258188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T02:53:29.870619Z digest=sha256:d2ddb46b4ab7f1c8328ef1bc10934b04043ce74f7d6ff44e9bf60a24bd2c5d83

Observation b5384b5e-0aae-4e0c-b53a-ea380c2c7b21 · inbound

Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning cites this paper.

Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:06:53.011706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T04:42:25.089569Z digest=sha256:dc062d940e06aee9f00bc3bc9cd0220b238d6b3af16f203d70c69f98c46b9fda

Observation 36be176d-1fc1-4328-8e97-2068e9097f3a · 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 Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms

Reference 173

Resolution
unresolved
no resolver link, observed 2026-07-31T23:49:32.746984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:49:32.746984Z digest=sha256:4011dc50778a7419799dc4f63d409f7c2feff98944d9c168e6433fd52bad41c5