Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Score-based Generative Diffusion Models for Social Recommendations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.15579.
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 2026-08-08T16:39:14.267088Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:11:03.503634Z
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 e00ad71b-d02d-4ac2-86b3-27f6bd874454 · inbound
Universal Approximation of Visual Autoregressive Transformers cites this paper.
Universal Approximation of Visual Autoregressive Transformers Score-based Generative Diffusion Models for Social Recommendations
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:39:14.267088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d071357-27c3-45b1-919e-86f2cd8a380a · inbound
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Score-based Generative Diffusion Models for Social Recommendations
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:15.427796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44f97945-08e5-4721-867a-522f7f925b30 · inbound
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse Score-based Generative Diffusion Models for Social Recommendations
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:11:03.578696Z
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.