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Paper Citation Record · LEDGER

Deep Learning improves identification of Radio Frequency Interference

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.08992.

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

pith.paper-citation-record.v1
2005.08992 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:27.581105Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

40
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0e0efb66-1163-4b30-9d2d-c0c76b034ad9 · inbound

Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps cites this paper.

Detecting Modeling Bias with Continuous Time Flow Models on Weak Lensing Maps Deep Learning improves identification of Radio Frequency Interference

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:27.581105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:44:27.581105Z digest=sha256:d84fafcabb937322977a84c60b3c554ba2d279a73ee3f871776c70d7c24d671f

Observation e4ceeb07-7a1c-4711-a13a-701489068233 · inbound

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization Deep Learning improves identification of Radio Frequency Interference

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-07-12T01:18:31.264830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-12T01:14:24.457057Z digest=sha256:9f4477185dd70e7fdf5cece077d085ab6b19b0ba10e7b9cdce0aa199f154618e