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Paper Citation Record · LEDGER

DBSCAN for nonlinear equalization in high-capacity multi-carrier optical communications

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.01198.

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

pith.paper-citation-record.v1
1902.01198 v1

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 2026-08-14T12:13:09.398624Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:58:44.635907Z

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 40cbdb4a-ce11-468a-98a4-7262ce454eb9 · inbound

A Survey on Machine Learning for Optical Communication [Machine Learning View] cites this paper.

A Survey on Machine Learning for Optical Communication [Machine Learning View] DBSCAN for nonlinear equalization in high-capacity multi-carrier optical communications

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-14T12:13:09.398624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:13:09.398624Z digest=sha256:f9e61a7dffa33bf40137e68202a3abc63e94ee16c81f45823f0b6adbe2bf74b2

Observation 04b8bdde-baad-4b29-925e-b18a1a47180c · inbound

A Survey on Machine and Deep Learning for Optical Communications cites this paper.

A Survey on Machine and Deep Learning for Optical Communications DBSCAN for nonlinear equalization in high-capacity multi-carrier optical communications

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:58:44.642378Z

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=pdf_text observed=2026-08-11T18:58:42.911790Z digest=sha256:64e3ee35330eba6de2271942144d9503c2c5bccb1fb1a85e0963e0ff7da56dd5