Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16755.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:57:13.383056Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:55:51.414456Z
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 7c792ea5-8295-4506-ab09-e67c62911460 · inbound
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation cites this paper.
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:57:13.383056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dd8256d-d12a-42f7-9702-f90b4550dd97 · inbound
From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling cites this paper.
From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:55:51.415815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6f180ad7-02e3-453c-91ae-461e6811bf81 · inbound
Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace cites this paper.
Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:45:39.792930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.