Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.00338.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:24:21.633458Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:16:24.335724Z
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 b23e159e-380f-4c71-9ae4-fc84dde10f03 · inbound
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts cites this paper.
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:16:24.341381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2c25d56f-467b-441f-aa88-aa6354625f76 · inbound
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation cites this paper.
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:24:21.633458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.