Paper Citation Record · LEDGER

Improving Pinterest Search Relevance Using Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17152.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.17152 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:15:53.655013Z

measured 1 of 1 external citation measurements

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 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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.