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Paper Citation Record · LEDGER

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.18875.

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

pith.paper-citation-record.v1
2402.18875 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:12:28.994090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:21:24.271256Z

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 76805763-43db-45dc-860f-a275c1e929bb · inbound

IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs cites this paper.

IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:28.994090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:12:28.994090Z digest=sha256:ffe73047e9468b132d32a2ef0bab3328e3316b28834d76ef8cc0095193e1f454

Observation 7768291e-b5de-4bc3-9f9a-90b5c25c2fa1 · inbound

Attention-Driven Metapath Encoding in Heterogeneous Graphs cites this paper.

Attention-Driven Metapath Encoding in Heterogeneous Graphs Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:21:24.279952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:21:24.171341Z digest=sha256:835394b8631eb47dc63ce3c3c0aba45aa3fbc9edd7bb22fe3218a7fed1a2909b