Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Domain Adaptation: Challenges, Progress and Prospects
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.00904.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:12.420427Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:06:07.098193Z
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 76231a58-a4ac-4b41-a231-e9ce718b07d1 · inbound
Domain Adaptive Unfolded Graph Neural Networks cites this paper.
Domain Adaptive Unfolded Graph Neural Networks Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:51:53.810679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5ed34ab-75ad-4df2-9188-baec91f6fa22 · inbound
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation cites this paper.
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:47:10.539005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e83da8ca-c053-4bff-b692-c14bf6f0f8a1 · inbound
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning cites this paper.
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:51:06.423901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c097632-a793-4bc0-aa73-572ee8f23fab · inbound
On the Benefits of Attribute-Driven Graph Domain Adaptation cites this paper.
On the Benefits of Attribute-Driven Graph Domain Adaptation Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:57:08.440657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2e7cdb4-043d-4f24-9c29-516facd9cb9a · inbound
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach cites this paper.
Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:56:12.420427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43eefdca-aa6d-4422-a16d-1425c5e0114b · inbound
Homophily Enhanced Graph Domain Adaptation cites this paper.
Homophily Enhanced Graph Domain Adaptation Graph Domain Adaptation: Challenges, Progress and Prospects
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:06:07.195014Z
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.