Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep End-to-end Causal Inference
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.02195.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:51:02.509592Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:09:56.363566Z
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 adc41e0e-1389-4349-996f-6cce3ea540d1 · inbound
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations cites this paper.
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Deep End-to-end Causal Inference
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:33:22.415476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b02ceb88-aa3c-4671-94f4-828b9f74b957 · inbound
Learning Structural Causal Models from Ordering: Identifiable Flow Models cites this paper.
Learning Structural Causal Models from Ordering: Identifiable Flow Models Deep End-to-end Causal Inference
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:53:34.893036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3eae1d82-0589-4f46-b95f-6d1ae9ed1f1c · inbound
From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery cites this paper.
From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery Deep End-to-end Causal Inference
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:51:02.509592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa645724-ccae-4d35-8bd5-30f8e30794fd · inbound
RetiSEM: Generalising Causal Models for Fragmented Biomedical Data cites this paper.
RetiSEM: Generalising Causal Models for Fragmented Biomedical Data Deep End-to-end Causal Inference
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T16:09:56.365322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.