Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Continual Learning on Graphs: Challenges, Solutions, and Opportunities
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.11565.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.801867Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0e264785-0ffa-4017-97c7-9a087ec988f3 · inbound
Learning without Isolation: Pathway Protection for Continual Learning cites this paper.
Learning without Isolation: Pathway Protection for Continual Learning Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:33:13.801867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b06f51dd-97d8-4120-be10-fda0c3aa7974 · inbound
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding cites this paper.
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:24:25.348415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60a0b3bd-91fe-4f67-8459-7bb77e9006af · inbound
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning cites this paper.
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:45:51.002022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 991f9afe-2c05-4d77-bfe4-d216510594e5 · inbound
UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning cites this paper.
UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:25.375156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 40694291-77b6-4b93-bd25-9591cfda7dc2 · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:42:53.558273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a331a929-eb5c-48ca-ba33-e9b5f94d50c9 · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:49:48.081656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6aa1335d-16fa-4fae-b054-9a31803ac533 · inbound
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts cites this paper.
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T21:55:06.070586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 08de0b16-3cc7-459a-afc1-701b31119f92 · inbound
Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks cites this paper.
Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T18:42:43.749868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f546e3af-e3c8-4494-8ed2-285db20a9e26 · inbound
G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs cites this paper.
G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs Continual Learning on Graphs: Challenges, Solutions, and Opportunities
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:26:17.539001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.