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Paper Citation Record · LEDGER

Generalizing from a Few Examples: A Survey on Few-Shot Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.05046.

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

pith.paper-citation-record.v1
1904.05046 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 2026-08-07T11:30:54.385694Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:16:06.528084Z

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 6dfc0b9b-7356-48b2-9862-e288a863018e · inbound

Large Language Models for EEG: A Comprehensive Survey and Taxonomy cites this paper.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Generalizing from a Few Examples: A Survey on Few-Shot Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:54.385694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:54.385694Z digest=sha256:62cfbdf2bede1ca1659627a578bc0aa4ef7cedc1d965111f9d6a54461f0c4520

Observation aea41971-33b6-401c-9861-718893fb029f · inbound

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors cites this paper.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Generalizing from a Few Examples: A Survey on Few-Shot Learning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:16:06.533773Z

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=2026-05-08T17:47:16.694416Z digest=sha256:c9962eaf5f4f2c71a2fc8bee7bc5f8f05f8fd312213a3134066732efdd3aec1e