Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.14774.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:25:38.727834Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T21:06:50.713046Z
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 cb231827-7eee-435d-8f9d-8459a16ba2ff · inbound
Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation cites this paper.
Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T21:06:50.715567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b7ca92d1-e68b-4b6c-8dc2-1a3489b5d753 · inbound
Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation cites this paper.
Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:25:38.727834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.