Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TC-GAT: Graph Attention Network for Temporal Causality Discovery
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.10706.
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 2026-08-12T19:56:35.589077Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T13:50:00.243602Z
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 ba298735-c665-4c2c-a5b9-ddfb575d3383 · inbound
Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry cites this paper.
Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry TC-GAT: Graph Attention Network for Temporal Causality Discovery
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:56:35.589077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7aa4658-a7d4-4021-9d6b-048c8f7a46e9 · inbound
Evaluating Large Language Models for Causal Modeling cites this paper.
Evaluating Large Language Models for Causal Modeling TC-GAT: Graph Attention Network for Temporal Causality Discovery
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T13:50:00.249584Z
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.