Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.12316.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:02:36.317353Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T10:07:34.093802Z
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 eef1c7f9-8e0c-4a7e-b5e6-ff2b6255ffd5 · inbound
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T06:02:36.317353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7024e2f-4f1a-4dbb-a10f-3e4c53586be7 · inbound
Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors cites this paper.
Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T10:07:34.096775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ac7ab25e-4a94-4ab5-a6a2-4ef492a84b15 · inbound
Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation cites this paper.
Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:31:33.656518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.