Pith. sign in

Paper Citation Record · LEDGER

Objective evaluation metrics for automatic classification of EEG events

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.10107.

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

pith.paper-citation-record.v1
1712.10107 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:46.555829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.617511Z

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 e592a7f1-ed27-4c8f-bb91-767347cb1587 · inbound

A foundation model with multi-variate parallel attention to generate neuronal activity cites this paper.

A foundation model with multi-variate parallel attention to generate neuronal activity Objective evaluation metrics for automatic classification of EEG events

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:46.555829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:46.555829Z digest=sha256:1b5b025e945b696831ae4239d6cd9f45de5851abf6c703345cf90ec923166de4

Observation 009d1dd6-49bb-4e59-96c4-f4db5950637c · inbound

From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks cites this paper.

From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks Objective evaluation metrics for automatic classification of EEG events

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.619152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T11:48:11.845671Z digest=sha256:5ed7c0be12f642d089f19603abc51036dbe89bcbcfb082893540327d88a014c9