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Paper Citation Record · LEDGER

Wandering Within a World: Online Contextualized Few-Shot Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.04546.

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

pith.paper-citation-record.v1
2007.04546 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:40:21.904051Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:10:33.923505Z

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 e7c741a8-9284-4d96-8763-94f7427c876a · inbound

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network cites this paper.

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network Wandering Within a World: Online Contextualized Few-Shot Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:10:33.926584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T01:09:49.902797Z digest=sha256:ec4df14eb8fbf81fcebad4433e054ec9729cff14a63aba456179468aff267e7d

Observation 84c2d423-d385-4172-a8f4-c2c16c9f7800 · inbound

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development cites this paper.

Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development Wandering Within a World: Online Contextualized Few-Shot Learning

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-02T07:40:21.904051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:40:21.904051Z digest=sha256:bedddede2fe6b1c2c1a7990d0d661d77d6c58076f1371f2163ab249e48cbdf7d