Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LinkGPT: Teaching Large Language Models To Predict Missing Links
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.04640.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:51:12.759252Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T08:24:26.897653Z
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 712b8b6b-a003-4dc5-82bf-4fe534276ec4 · inbound
Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.
Retrieval-Augmented Generation with Graphs (GraphRAG) LinkGPT: Teaching Large Language Models To Predict Missing Links
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:33:39.701103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 70840c71-fbb6-40e0-a2c3-0b93d79e1d63 · inbound
Quantizing Text-attributed Graphs for Semantic-Structural Integration cites this paper.
Quantizing Text-attributed Graphs for Semantic-Structural Integration LinkGPT: Teaching Large Language Models To Predict Missing Links
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:51:12.759252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4dfa5e8-e720-4692-bac7-847b5262a5d1 · inbound
Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs cites this paper.
Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs LinkGPT: Teaching Large Language Models To Predict Missing Links
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:15.088350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1219db8-9e69-4d0f-b5e8-8556c6a90eec · inbound
Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery cites this paper.
Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery LinkGPT: Teaching Large Language Models To Predict Missing Links
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:10:55.991582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 695d982d-4926-4c07-b2ed-67e0867a431f · inbound
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning cites this paper.
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning LinkGPT: Teaching Large Language Models To Predict Missing Links
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:24:26.899734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.