{"as_of":"2026-08-16T17:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c3e8c8c239a22ea14162be6a8ea2d307404abda77468bbd018608756d5f5d5c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:29:05.829813Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17152","snapshot_observed_at":"2026-08-15T22:29:05.829813Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07105","last_updated":"2025-05-11T20:00:00Z","snapshot_observed_at":"2026-08-15T22:22:34.943358Z","submitted_at":"2025-05-11T20:00:00Z","title":"Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:29:05.829813Z"},"links":{"cited_paper":"/paper/2410.17152","citing_paper":"/paper/2505.07105"},"observation_digest":"sha256:7d22c53cdf088f7eccccaedd3638f7b480d26c0cdaee8f415301b729395f32ca","observation_id":"1d1583ec-637c-42ab-a573-bf157e0cfaa2","resolution":{"observed_at":"2026-08-15T22:29:05.829813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2410.17152","doi":"10.48550/arxiv.2410.17152","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.17152","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"5a900ba2-8257-4ca9-93ef-36ab54bc36e6","year":2024},"citing_paper":{"arxiv_id":"2604.25683","last_updated":"2026-04-28T14:12:39Z","snapshot_observed_at":"2026-08-13T19:41:11.404041Z","submitted_at":"2026-04-28T14:12:39Z","title":"K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-07T15:28:44.678081Z"},"links":{"cited_paper":"/paper/2410.17152","citing_paper":"/paper/2604.25683"},"observation_digest":"sha256:d3a3171f9b0dbe11fdddc94ab4424d5632db0c84f912b4b50cb648b795bdca03","observation_id":"8036b733-c76d-4f8c-bd74-9593abc50349","resolution":{"observed_at":"2026-05-09T02:29:40.972773Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2410.17152","doi":"10.48550/arxiv.2410.17152","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.17152","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"5a900ba2-8257-4ca9-93ef-36ab54bc36e6","year":2024},"citing_paper":{"arxiv_id":"2605.27704","last_updated":"2026-05-26T21:26:17Z","snapshot_observed_at":"2026-08-15T06:41:00.209291Z","submitted_at":"2026-05-26T21:26:17Z","title":"Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T15:14:31.568530Z"},"links":{"cited_paper":"/paper/2410.17152","citing_paper":"/paper/2605.27704"},"observation_digest":"sha256:006a93a50acc314470dee63ab48c2c8a074868fa32a133eaf66450852feed242","observation_id":"9bb59fdf-66ca-492f-a255-e9eda4d7ec13","resolution":{"observed_at":"2026-06-29T15:23:32.210523Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17152","snapshot_observed_at":"2026-08-01T03:36:58.906006Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23121","last_updated":"2026-07-25T09:41:21Z","snapshot_observed_at":"2026-08-16T00:08:54.802753Z","submitted_at":"2026-07-25T09:41:21Z","title":"SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T03:36:58.906006Z"},"links":{"cited_paper":"/paper/2410.17152","citing_paper":"/paper/2607.23121"},"observation_digest":"sha256:d860003a533bda321280060ffa07398eef44e0592bf98ec57a500f5a83171262","observation_id":"e435b4ee-92b7-4b87-a735-55c0fe77c5db","resolution":{"observed_at":"2026-08-01T03:36:58.906006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17152","snapshot_observed_at":"2026-08-04T07:15:53.655013Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02446","last_updated":"2026-08-03T16:23:49Z","snapshot_observed_at":"2026-08-11T18:49:44.163313Z","submitted_at":"2026-08-03T16:23:49Z","title":"Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T07:15:53.655013Z"},"links":{"cited_paper":"/paper/2410.17152","citing_paper":"/paper/2608.02446"},"observation_digest":"sha256:47136b5cc2f9e845f7d95d7d701117ffcb389dc5fcb824ec3b08762386bf3d1e","observation_id":"63ae761f-9540-4ca3-a565-cdfd9609b538","resolution":{"observed_at":"2026-08-04T07:15:53.655013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.17152/citation-record","integrity":"/paper/2410.17152/integrity","json":"/paper/2410.17152/citation-record.json","paper":"/paper/2410.17152"},"outbound":[],"paper":{"arxiv_id":"2410.17152","last_updated":"2024-10-22T16:29:33Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T13:06:55.712493Z","submitted_at":"2024-10-22T16:29:33Z","title":"Improving Pinterest Search Relevance Using Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"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."}