Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.05543.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-07T19:39:03.681918Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:16:07.712475Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e5511cde-d721-4475-a5db-c631197f9647 · inbound
A Survey on LLM-powered Agents for Recommender Systems ULMRec: User-centric Large Language Model for Sequential Recommendation
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1330579-e335-49bc-8fe1-375e157308ae · inbound
GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation ULMRec: User-centric Large Language Model for Sequential Recommendation
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2940ffe-1fd1-40f4-9967-db6b557fc9cf · inbound
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches ULMRec: User-centric Large Language Model for Sequential Recommendation
Reference 28
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.