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Paper Citation Record · LEDGER

Cross-Domain Few-Shot Learning by Representation Fusion

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.06498.

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

pith.paper-citation-record.v1
2010.06498 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:18.619047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:22:30.013963Z

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 9dbe557d-68f8-4d4f-92bd-3b9a0d83a388 · inbound

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery cites this paper.

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery Cross-Domain Few-Shot Learning by Representation Fusion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:18.619047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:18.619047Z digest=sha256:f9a9163fb6843fa76b00fac2aca4d72d9e3a79e9eaf3cf4976fae6320886dd10

Observation e49e958f-aca8-439a-b976-345d434d3f2d · inbound

Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains cites this paper.

Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains Cross-Domain Few-Shot Learning by Representation Fusion

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:22:30.017217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:22:29.688528Z digest=sha256:4800be60ce3d6bbfaeebc87a57157a2dbee4e04a032f11a44dc2a317ad17ac89