Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Pinterest Search Relevance Using Large Language Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.17152.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:29:05.829813Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1d1583ec-637c-42ab-a573-bf157e0cfaa2 · inbound
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models cites this paper.
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models Improving Pinterest Search Relevance Using Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:29:05.829813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8036b733-c76d-4f8c-bd74-9593abc50349 · inbound
K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance cites this paper.
K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance Improving Pinterest Search Relevance Using Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T02:29:40.972773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9bb59fdf-66ca-492f-a255-e9eda4d7ec13 · inbound
Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision cites this paper.
Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision Improving Pinterest Search Relevance Using Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T15:23:32.210523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e435b4ee-92b7-4b87-a735-55c0fe77c5db · inbound
SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads cites this paper.
SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads Improving Pinterest Search Relevance Using Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:36:58.906006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63ae761f-9540-4ca3-a565-cdfd9609b538 · inbound
Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search cites this paper.
Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search Improving Pinterest Search Relevance Using Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:15:53.655013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.