Paper Citation Record · LEDGER

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.11772.

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

pith.paper-citation-record.v1
2401.11772 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:46:14.516304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:27:08.306958Z

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 aa40a5ca-abca-4fbf-b7c0-364870a0342d · inbound

Towards Data-centric Machine Learning on Directed Graphs: a Survey cites this paper.

Towards Data-centric Machine Learning on Directed Graphs: a Survey LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:14.516304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a28802-4c17-4df7-9e22-1bf887a9ec44 · inbound

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning cites this paper.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:34.729928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba79122f-9cec-4fb1-b30a-819b0d162b4f · inbound

Toward General and Robust LLM-enhanced Text-attributed Graph Learning cites this paper.

Toward General and Robust LLM-enhanced Text-attributed Graph Learning LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:27:08.309323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4123f4b5-82ab-4265-ba8c-8e56ed1e3622 · inbound

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective cites this paper.

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T09:18:33.296356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.