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Paper Citation Record · LEDGER

Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.00003.

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

pith.paper-citation-record.v1
2011.00003 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:56:49.237258Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

108
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation afc9eb23-cf54-452f-8279-5f0b3157d768 · inbound

Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort cites this paper.

Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T17:29:44.532961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T17:28:46.894987Z digest=sha256:a7638cf47d3b5f0005cfd92b1c0d2027bf16bbc3add350a3919720e5f1a3fa29

Observation 927180ec-304e-4500-bf99-a70aa744d2e5 · inbound

Towards understanding stellar variability at the sub m/s level: granulation-induced variability across the optical spectrum cites this paper.

Towards understanding stellar variability at the sub m/s level: granulation-induced variability across the optical spectrum Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T10:56:49.237258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:56:49.237258Z digest=sha256:ac80f6bd0da11b52b9651ac1098c59d44097517c079b6c0b91eee763c097ae80