Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.17340.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:39:43.410125Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T18:04:38.073273Z
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 13a52d6e-7c47-407a-883c-a2fcc0e84a6a · inbound
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning cites this paper.
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:39:43.410125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d7c3b9a-b09f-46b7-a3f7-efe1dfc40f32 · inbound
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity cites this paper.
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T18:04:38.078124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.