{"as_of":"2026-08-06T18:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e97619de8705a8a6ef1553ff528c10a740c64c2fdf81e4c13dafde69886ca28","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":"2026-08-06T06:34:29.942622+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":"2026-08-06T13:06:32.425492Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T15:34:48.798253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","version":6},"cited_work":{"arxiv_id":"2306.05817","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.05817","snapshot_observed_at":"2026-06-30T15:34:48.798253Z","title":"How can recommender systems benefit from large language models: A survey","venue":null,"work_id":"fc869562-74d7-48ce-9e48-57f780df563c","year":2024},"citing_paper":{"arxiv_id":"2404.13501","last_updated":"2024-04-21T01:49:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-21T01:49:46Z","title":"A Survey on the Memory Mechanism of Large Language Model based Agents","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-15T07:21:39.440092Z"},"links":{"cited_paper":"/paper/2306.05817","citing_paper":"/paper/2404.13501"},"observation_digest":"sha256:c783fe3b0e35f55fcfae4b08edb7c4ca7213ccefc4291e9fd62ee18a9bef2594","observation_id":"2572aef2-445c-408f-a8c1-2c23a2ba9366","resolution":{"observed_at":"2026-05-15T07:21:39.830751Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05817","snapshot_observed_at":"2026-08-06T13:06:32.425492Z","title":"How can recommender systems benefit from large language models: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21274","last_updated":"2025-07-28T19:00:40Z","snapshot_observed_at":"2026-08-06T13:06:31.632516Z","submitted_at":"2025-07-28T19:00:40Z","title":"Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:06:32.425492Z"},"links":{"cited_paper":"/paper/2306.05817","citing_paper":"/paper/2507.21274"},"observation_digest":"sha256:4d7a3bfe2ad504ad6f94b6e093f1389454b68cfd17e14c17993525fd8ee9436a","observation_id":"d9bb156e-7077-4a25-b77e-4046b99350b9","resolution":{"observed_at":"2026-08-06T13:06:32.425492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05817","snapshot_observed_at":"2026-08-06T11:02:13.416000Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23209","last_updated":"2025-07-31T03:05:05Z","snapshot_observed_at":"2026-08-06T11:02:12.845244Z","submitted_at":"2025-07-31T03:05:05Z","title":"Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:02:13.416000Z"},"links":{"cited_paper":"/paper/2306.05817","citing_paper":"/paper/2507.23209"},"observation_digest":"sha256:a12c68bafc0101f63943f0858204163a08c0c63e32a15b45c62296258a17a879","observation_id":"b0b9944c-e6cc-4681-9854-eeccf7f37c99","resolution":{"observed_at":"2026-08-06T11:02:13.416000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05817","snapshot_observed_at":"2026-08-02T23:32:08.633592Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13626","last_updated":"2026-05-26T14:18:40Z","snapshot_observed_at":"2026-08-02T23:32:06.387048Z","submitted_at":"2026-02-14T06:34:19Z","title":"Benchmark Leakage Trap: Can We Trust LLM-based Recommendation?","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-02T23:32:08.633592Z"},"links":{"cited_paper":"/paper/2306.05817","citing_paper":"/paper/2602.13626"},"observation_digest":"sha256:80b6d00038979355b97e19286e9b42c671b8e253ef11ca83f15371e6c746042f","observation_id":"95a048c5-68e5-46e1-9721-31a4df91d568","resolution":{"observed_at":"2026-08-02T23:32:08.633592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","version":6},"cited_work":{"arxiv_id":"2306.05817","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.05817","snapshot_observed_at":"2026-06-30T15:34:48.798253Z","title":"How can recommender systems benefit from large language models: A survey","venue":null,"work_id":"fc869562-74d7-48ce-9e48-57f780df563c","year":2024},"citing_paper":{"arxiv_id":"2605.27429","last_updated":"2026-05-22T04:04:44Z","snapshot_observed_at":"2026-07-06T23:37:08.167449Z","submitted_at":"2026-05-22T04:04:44Z","title":"Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T15:15:52.806007Z"},"links":{"cited_paper":"/paper/2306.05817","citing_paper":"/paper/2605.27429"},"observation_digest":"sha256:04195232a451513d826eb2888bf86581393fdb6bf164b5fb3dd4ce7ea5fc1aaa","observation_id":"8d343495-a5ab-4a63-89a0-aa822fd993dc","resolution":{"observed_at":"2026-06-30T15:34:48.799736Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.05817/citation-record","integrity":"/paper/2306.05817/integrity","json":"/paper/2306.05817/citation-record.json","paper":"/paper/2306.05817"},"outbound":[],"paper":{"arxiv_id":"2306.05817","last_updated":"2024-07-09T13:17:52Z","latest_version":6,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-05T03:33:18.005396Z","submitted_at":"2023-06-09T11:31:50Z","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.05817."}