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Paper Citation Record · LEDGER

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.10002.

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

pith.paper-citation-record.v1
1805.10002 v5

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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:06:32.508491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:48:30.849488Z

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 a7992f02-eb61-4ed9-ab06-b3a7a362145c · inbound

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation cites this paper.

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:32.508491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:32.508491Z digest=sha256:905ea5d050d883e69a204c8603fae41806bd4e054e0f8b08c65f58c9c9f34d71

Observation e9c22c50-f314-4433-8dc0-6b7fc8cd6bb4 · inbound

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions cites this paper.

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:15.178443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.178443Z digest=sha256:287e6e892ee09062c4c9ee75903b2afae90771cee55203bdb7169580cb5ecbdd

Observation b1cdc049-a1a3-42e2-9850-3d1aa123d6e0 · inbound

Language-Aware Information Maximization for Transductive Few-Shot CLIP cites this paper.

Language-Aware Information Maximization for Transductive Few-Shot CLIP Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:48:30.936745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:48:29.413699Z digest=sha256:0f888e3cad95c647e89e61c8bd26b449825e71e5976291ff8c7dd520c43cb8da