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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:18:33.296356Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:26:35.707533Z digest=sha256:b513f21d9f9188f878f0207fb3f9c6289e9f849f416a61d0b71f226edefa179e

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.

source=pdf_text observed=2026-08-04T09:18:33.296356Z digest=sha256:9466dfa584069e835eaa11ff6b4482d904c855fa19727388ab87b3cd4ccd7c93