Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Deconfounded Recommender: A Causal Inference Approach to Recommendation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.06581.
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 2026-08-07T15:41:58.038195Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-22T09:44:46.033756Z
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 39b1f52b-5f24-49f9-89a2-a1ee548a25c8 · inbound
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity cites this paper.
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:41:58.038195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f517e06-332f-4b71-bfed-0f1abffc75e2 · inbound
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation cites this paper.
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T18:26:59.896976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a027d142-9811-449b-a2e3-6b4826c31fc8 · inbound
PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation cites this paper.
PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T09:44:46.035993Z
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.