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Paper Citation Record · LEDGER

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.06743.

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

pith.paper-citation-record.v1
2205.06743 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:54.471258Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:29:51.065517Z

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 6a31f292-faeb-4fb3-ab69-0c29411aa423 · inbound

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

Large Language Models for EEG: A Comprehensive Survey and Taxonomy A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:54.471258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:54.471258Z digest=sha256:01d59a06b2f8cbddb9a2f7e9b895c271fb36fd51a0459f51b368c50e9c85a5b6

Observation 020a80d0-009d-4401-a4de-cb70bce5a390 · inbound

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation cites this paper.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:10.400495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:10.400495Z digest=sha256:9a9cdd222126a337970155999ff586eb2832e971da6f24ee1029b67ebce6c5fd

Observation 6c373870-97fa-425a-bd82-83c1feccd34a · inbound

AI-Assisted Fixes to Code Review Comments at Scale cites this paper.

AI-Assisted Fixes to Code Review Comments at Scale A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:29:51.152750Z

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=2026-08-06T16:29:48.599375Z digest=sha256:b91b4068cc4e4468d4569a8f99911f861ad57988064b374f24eb9f867edf74e1