Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Contrastive Learning for Materials
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.13408.
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 2026-08-06T23:20:20.631530Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T00:15:15.066770Z
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 41560fb1-c774-44d7-9bb2-05e7f4b4a475 · inbound
Siamese Foundation Models for Crystal Structure Prediction cites this paper.
Siamese Foundation Models for Crystal Structure Prediction Graph Contrastive Learning for Materials
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T00:15:15.069173Z
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 b47ca5ba-f3ce-44bd-9e3e-9950274a2165 · inbound
Leveraging neural network interatomic potentials for a foundation model of chemistry cites this paper.
Leveraging neural network interatomic potentials for a foundation model of chemistry Graph Contrastive Learning for Materials
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:20:20.631530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6849daf-0270-4a73-aaf6-b21c933e9576 · inbound
Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models cites this paper.
Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models Graph Contrastive Learning for Materials
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:30:43.332274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.