Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.15005.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:55.119550Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:15:33.588662Z
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 4c6db4fc-ad19-4234-889c-94ba3b043dc5 · inbound
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation cites this paper.
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:55.119550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51f2174f-c77b-4edc-b443-97406d0ee8ca · inbound
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer cites this paper.
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:11:41.671304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78b75a10-8783-4030-861d-bdda82ec5ba7 · inbound
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:22:59.241562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0cf4caa-b790-4c22-ae82-8b48a001c386 · inbound
FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.
FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:25:12.136661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a0bb710-9090-43d5-ad20-58352510a14c · inbound
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks cites this paper.
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:15:33.637618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.