{"as_of":"2026-08-09T16:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:222ff2cd3887a80702bfea88222914d3c22e3f6ea20b9196aa0d01146c364afd","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:48:00.427732Z","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":"2026-07-03T16:18:37.614220Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":"2307.02046","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-07-03T16:18:37.614220Z","title":null,"venue":null,"work_id":"6e2ce562-b0f9-435e-add3-673e4a402394","year":2023},"citing_paper":{"arxiv_id":"2502.00709","last_updated":"2026-04-16T23:58:55Z","snapshot_observed_at":"2026-08-03T02:52:29.636832Z","submitted_at":"2025-02-02T07:49:56Z","title":"RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T04:36:32.897387Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2502.00709"},"observation_digest":"sha256:4cac81848da960cc5a56bd58fd9607c2951e8751b2e94a9f25f5ecc2d3f251aa","observation_id":"88e441cb-862b-457f-a832-a397552a1c0f","resolution":{"observed_at":"2026-05-23T04:37:31.873032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-07T14:48:00.427732Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17694","last_updated":"2026-03-28T10:14:51Z","snapshot_observed_at":"2026-08-07T14:40:02.904487Z","submitted_at":"2025-05-23T10:03:28Z","title":"CoDec: Prefix-Shared Decoding Kernel for LLMs","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T14:48:00.427732Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2505.17694"},"observation_digest":"sha256:6e7d378916926cedd96db3bcbaed7dd5b8468e549c4654f572c310d519df5685","observation_id":"3b1a3db1-26fc-40f1-9381-680375a6b630","resolution":{"observed_at":"2026-08-07T14:48:00.427732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-07T10:38:19.298612Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04760","last_updated":"2025-06-05T08:44:34Z","snapshot_observed_at":"2026-08-07T15:40:07.819691Z","submitted_at":"2025-06-05T08:44:34Z","title":"Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:19.298612Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2506.04760"},"observation_digest":"sha256:2f929a00db5a376c27965d454766242a764a571c0c858f5869affc782b06c9d2","observation_id":"6cdb5fa9-176d-4f67-99d3-ab7ad84ea0b1","resolution":{"observed_at":"2026-08-07T10:38:19.298612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-07T05:40:13.866889Z","title":"Recommender systems in the era of large language models (llms)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07449","last_updated":"2025-06-09T05:52:03Z","snapshot_observed_at":"2026-08-09T05:53:46.913624Z","submitted_at":"2025-06-09T05:52:03Z","title":"LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T05:40:13.866889Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2506.07449"},"observation_digest":"sha256:6ad3550b9e45742081204df1676910e3fe5d07320c5e4c19bf6d1ca678ebc6c4","observation_id":"b926d4d6-0aac-4a56-822d-bb3d74b1e123","resolution":{"observed_at":"2026-08-07T05:40:13.866889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-06T20:32:06.674498Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03047","last_updated":"2025-08-20T09:09:56Z","snapshot_observed_at":"2026-08-09T06:44:04.919630Z","submitted_at":"2025-07-03T10:11:35Z","title":"Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:32:06.674498Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2507.03047"},"observation_digest":"sha256:375583bb5297253f258c96aa4f623a43a594275e0e21606a62fd28b5b27298e4","observation_id":"6979ac4f-cd17-456f-95c7-659b7cff98c8","resolution":{"observed_at":"2026-08-06T20:32:06.674498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-06T14:58:28.796838Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.17249","last_updated":"2025-08-11T02:53:22Z","snapshot_observed_at":"2026-08-06T17:27:04.264410Z","submitted_at":"2025-07-23T06:36:49Z","title":"R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T14:58:28.796838Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2507.17249"},"observation_digest":"sha256:55c46c59dca6a4cf28c826910c38f7f5a9ee86e78df96966d6dd032df0f7867f","observation_id":"81a7a7a5-354b-4886-8658-859a420c4ad3","resolution":{"observed_at":"2026-08-06T14:58:28.796838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-06T13:06:32.347874Z","title":"Recommender systems in the era of large language models (llms)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21274","last_updated":"2025-07-28T19:00:40Z","snapshot_observed_at":"2026-08-09T01:21:22.249248Z","submitted_at":"2025-07-28T19:00:40Z","title":"Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:06:32.347874Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2507.21274"},"observation_digest":"sha256:4a8645fa40094a205cbd4cc27a3811ed3883a51c8842b64e2ae98701432f4d2d","observation_id":"9efe23b4-678d-427b-b898-80ecc37f7feb","resolution":{"observed_at":"2026-08-06T13:06:32.347874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-05T20:37:17.287316Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10312","last_updated":"2026-06-01T03:51:36Z","snapshot_observed_at":"2026-08-05T20:37:16.466231Z","submitted_at":"2025-08-14T03:33:02Z","title":"Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T20:37:17.287316Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2508.10312"},"observation_digest":"sha256:a14158bf9c1b6b0f0be3a288a69c051b4e13914e61aa0a9410dedd018ed7e516","observation_id":"96f31b0b-2f45-4c83-94c9-82bfadcb1265","resolution":{"observed_at":"2026-08-05T20:37:17.287316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-05T18:02:16.811242Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15388","last_updated":"2025-08-21T09:25:31Z","snapshot_observed_at":"2026-08-06T15:52:16.581718Z","submitted_at":"2025-08-21T09:25:31Z","title":"TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T18:02:16.811242Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2508.15388"},"observation_digest":"sha256:dae83701a3acb0fc9d8aed1179c621a16f97fedeff417d11554fb1aa86caa9b2","observation_id":"bb424eb8-1223-491e-8c44-a727a51b86ed","resolution":{"observed_at":"2026-08-05T18:02:16.811242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-08-05T11:48:51.987929Z","title":"arXiv preprint arXiv:2307.02046 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02241","last_updated":"2025-09-02T12:09:49Z","snapshot_observed_at":"2026-08-07T06:10:37.238530Z","submitted_at":"2025-09-02T12:09:49Z","title":"LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T11:48:51.987929Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2509.02241"},"observation_digest":"sha256:e6e852305bb5ffb1f8061f3bafdd7c635dc340e45c566e14f1e1c4ee2810e28d","observation_id":"d0672fd7-6dda-4c4b-9728-60078314d14b","resolution":{"observed_at":"2026-08-05T11:48:51.987929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":"2307.02046","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-07-03T16:18:37.614220Z","title":null,"venue":null,"work_id":"6e2ce562-b0f9-435e-add3-673e4a402394","year":2023},"citing_paper":{"arxiv_id":"2604.18146","last_updated":"2026-04-21T07:16:41Z","snapshot_observed_at":"2026-07-06T23:05:04.279268Z","submitted_at":"2026-04-20T12:08:58Z","title":"Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T04:09:10.125285Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2604.18146"},"observation_digest":"sha256:7541981cccb68c58e83ac2d2e75e7268e5c2289d418e5b2d519da0079219cd83","observation_id":"0fec06b1-6b57-4bf3-a957-33ce8fe77a17","resolution":{"observed_at":"2026-05-11T12:06:04.874279Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":"2307.02046","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-07-03T16:18:37.614220Z","title":null,"venue":null,"work_id":"6e2ce562-b0f9-435e-add3-673e4a402394","year":2023},"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":52,"source":"pdf_text","source_observed_at":"2026-06-30T15:15:52.806007Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2605.27429"},"observation_digest":"sha256:0064cbe266f2eac9bd2f1aa40953f3e7efdf6a5241a33030b7a296aa2085b3be","observation_id":"3a3e3502-e510-4022-9a48-9d7f62274ab6","resolution":{"observed_at":"2026-06-30T15:34:48.765127Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)","version":6},"cited_work":{"arxiv_id":"2307.02046","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.02046","snapshot_observed_at":"2026-07-03T16:18:37.614220Z","title":null,"venue":null,"work_id":"6e2ce562-b0f9-435e-add3-673e4a402394","year":2023},"citing_paper":{"arxiv_id":"2606.13001","last_updated":"2026-06-11T07:38:15Z","snapshot_observed_at":"2026-07-06T23:51:49.819867Z","submitted_at":"2026-06-11T07:38:15Z","title":"CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-06-27T05:56:51.623324Z"},"links":{"cited_paper":"/paper/2307.02046","citing_paper":"/paper/2606.13001"},"observation_digest":"sha256:3c7e4bc1272fe5373e5425fa71ee9c459cc4085be9ad06b9fccbc83b5f18c703","observation_id":"e849e001-8a2e-44af-9b41-99c3cb02b831","resolution":{"observed_at":"2026-07-03T16:18:37.615550Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.02046/citation-record","integrity":"/paper/2307.02046/integrity","json":"/paper/2307.02046/citation-record.json","paper":"/paper/2307.02046"},"outbound":[],"paper":{"arxiv_id":"2307.02046","last_updated":"2024-04-29T09:06:51Z","latest_version":6,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T00:54:27.770577Z","submitted_at":"2023-07-05T06:03:40Z","title":"Recommender Systems in the Era of Large Language Models (LLMs)"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2307.02046."}