{"as_of":"2026-08-07T09:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5ba2d43c62f0e18d96e0f80d9551a85661b1b64272259dd9dc6d8858640886f","coverage":[{"denominator":92,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":92,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:23:55.231906Z","state":"measured"},{"denominator":93,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":93,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T19:14:13.105401Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.05863","snapshot_observed_at":"2026-07-11T19:14:13.105401Z","title":"arXiv preprint arXiv:2507.05863 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04433","last_updated":"2026-07-05T17:55:05Z","snapshot_observed_at":"2026-08-04T17:53:26.891888Z","submitted_at":"2026-07-05T17:55:05Z","title":"Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems","version":1},"reference_index":109,"source":"arxiv_source","source_observed_at":"2026-07-11T19:14:13.105401Z"},"links":{"cited_paper":"/paper/2507.05863","citing_paper":"/paper/2607.04433"},"observation_digest":"sha256:518c03401dca1cde5534ea586775548daa42055cf7c8c084fb1e8dca1652d9be","observation_id":"d8c9e2a6-427c-4a19-8a54-09b9fe745c76","resolution":{"observed_at":"2026-07-11T19:14:13.105401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.05863/citation-record","integrity":"/paper/2507.05863/integrity","json":"/paper/2507.05863/citation-record.json","paper":"/paper/2507.05863"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T19:23:46.166452Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.166452Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:1e9d1d80d42fe5e302675f7a909037c979a4fba55f9d0ba66532d58d8122f667","observation_id":"ccfcc068-f952-4d7a-91a9-4985818ee011","resolution":{"observed_at":"2026-08-06T19:23:46.166452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.254296Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.254296Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:4abf0bf6b4c23e006d62a32c45dd9b47148dd7d7e179486856df27978388a955","observation_id":"1cfd26de-fbc4-4298-afc9-e5e0a697f59e","resolution":{"observed_at":"2026-08-06T19:23:46.254296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.349012Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.349012Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:c223418b0ad6486b5ad2ac163ebf76cf01fa3f6ce3fc785ca59f1d3917e1e02f","observation_id":"948b9c11-bf1f-49ea-a752-ecffa813c4df","resolution":{"observed_at":"2026-08-06T19:23:46.349012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.519746Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.519746Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:51b961f2ade0eb4ba1a532200495b90a8c937e4a4926cb6b74c55f580bf2a373","observation_id":"967d1397-faf0-4f32-adca-347a01e9e5cc","resolution":{"observed_at":"2026-08-06T19:23:46.519746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.750650Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.750650Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:cafbf4610077e4fee6b539dd0acc25d26adb05a92a0cf8be91813ea5001177bf","observation_id":"3cfad567-193c-415d-a5cf-fc8cdfb750a7","resolution":{"observed_at":"2026-08-06T19:23:46.750650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.08084","last_updated":"2022-05-19T06:50:31Z","snapshot_observed_at":"2026-07-06T13:10:38.860449Z","submitted_at":"2022-05-17T04:13:42Z","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.08084","snapshot_observed_at":"2026-08-06T19:23:46.831165Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.831165Z"},"links":{"cited_paper":"/paper/2205.08084","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:9e7c30166ade5fd439f522ab3634778fbde0286c744271de1db67fb8cb0a27ea","observation_id":"674c07a7-6a3b-4daa-b98c-768942758692","resolution":{"observed_at":"2026-08-06T19:23:46.831165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T19:23:46.931731Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.931731Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:66e1890c1b45be48ffa639da6c7bd7f95a8c87441c3434ce3befd075a1505ec1","observation_id":"7300e6df-60e7-485a-8078-89ca2eb90d6c","resolution":{"observed_at":"2026-08-06T19:23:46.931731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-06T19:23:47.020906Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.020906Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:9fb50430dab3f057f762bd5e3ad40a36c3f8df05f47bd0c9f53edbfa5eb84740","observation_id":"7b24e02c-7596-4f9f-bebc-5db6edb0d8c4","resolution":{"observed_at":"2026-08-06T19:23:47.020906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.073024Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.073024Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:f34c7698bcf7c9b9bd33a3a33ea8617d709cfd8dedae1da610390a4fe7e70bac","observation_id":"da9f4cf8-3e7c-42f0-a9ba-cbe1e06f736c","resolution":{"observed_at":"2026-08-06T19:23:47.073024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.169634Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.169634Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:a621bb9446ff676c5adc10f2747d6aa2388719e803e2f12725ca786c133f4406","observation_id":"ab3aa231-5335-46c5-88c7-034f47501c71","resolution":{"observed_at":"2026-08-06T19:23:47.169634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06666","last_updated":"2025-03-01T12:59:49Z","snapshot_observed_at":"2026-07-06T19:13:20.458958Z","submitted_at":"2024-09-10T17:34:34Z","title":"LLaMA-Omni: Seamless Speech Interaction with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06666","snapshot_observed_at":"2026-08-06T19:23:47.250006Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.250006Z"},"links":{"cited_paper":"/paper/2409.06666","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:ce2553cbd61ad1dd9e6056089ddc9b727b2d94d90d640a5966f4231fa1618959","observation_id":"d734e001-cd5d-4eee-9cd4-638a837d3b22","resolution":{"observed_at":"2026-08-06T19:23:47.250006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-06T19:23:47.325316Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.325316Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:26bc6275a32ec3999b6c00a2995457412f1950a4c4791d5c9b43bd44ddbca8fa","observation_id":"7a9862b1-cd57-48a5-baf6-5a5488442f5b","resolution":{"observed_at":"2026-08-06T19:23:47.325316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.396819Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.396819Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:ee3054394eb4efebd0e856d7e37dc4793599b4d8c55f63a0ab206f6d558d26dc","observation_id":"f6a276b1-100a-44dc-a669-57086e3c8e25","resolution":{"observed_at":"2026-08-06T19:23:47.396819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.557547Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.557547Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:7c81beaf7e9c2cc07b6bfa2172d2f9363f2c67b23795f2be4a560ab0d296b3a0","observation_id":"397b0b0d-d462-4248-bd73-4c393f89146c","resolution":{"observed_at":"2026-08-06T19:23:47.557547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.631754Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.631754Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:e3108f2ffaaa6eba726d7997093a82bc29de4fae63c0234072332d8b4ea4dfb8","observation_id":"62edc417-00a5-4a58-91ca-63157f11809d","resolution":{"observed_at":"2026-08-06T19:23:47.631754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:08.146837Z","title":null,"venue":null,"work_id":"61ed1b04-4ea5-4e6d-8e39-a6809a9ffa49","year":2020},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.759235Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:100adf8f56e909bab5e6e66b9b45bea7078042b6e36bfdedbfeae84fcce57526","observation_id":"a603795e-fb2c-435b-a3c7-206f4d752610","resolution":{"observed_at":"2026-08-06T19:24:08.302463Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.858920Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.858920Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:f4a1df70505a257fcedcea0eb219e666f2b8c9b8c1e9ec4c41ba838d89304359","observation_id":"1279d73e-53e7-4d29-a963-a9187f6cddea","resolution":{"observed_at":"2026-08-06T19:23:47.858920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:07.601765Z","title":null,"venue":null,"work_id":"18fbc14a-1b08-4c6b-9cc2-483eced65d06","year":2006},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.073915Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:fd39e01c47105ce1e6c9d99cfefb88ba99daaa5e37ffd5a60330f8d0e4e88047","observation_id":"b5a6b990-9508-44e4-ac18-86f3ca12230d","resolution":{"observed_at":"2026-08-06T19:24:07.724164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:07.258690Z","title":null,"venue":null,"work_id":"90b03afa-34c1-417a-abf2-cac936e7b009","year":2015},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.158281Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:a66a3c8d196dd03d304d1b5557d499d0ebae95e2498a39d20a700a82631cd72d","observation_id":"9020760b-a109-45a2-81d1-cdaea1a956ec","resolution":{"observed_at":"2026-08-06T19:24:07.435074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:07.014629Z","title":null,"venue":null,"work_id":"64c6dc9e-b199-4a06-9fcb-35d2bba371db","year":1979},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.237993Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:809b64260881e44a03aedbb6a4dae76c155b5acd2b365679b68b434c100d58d1","observation_id":"4dea02ec-dc65-4ecc-b267-da5b3838a2be","resolution":{"observed_at":"2026-08-06T19:24:07.152815Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:06.734776Z","title":null,"venue":null,"work_id":"d19ee2b6-cb0c-452d-8c32-b21790940089","year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.332668Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:f49a1d75f1e420d59d5683e99ce12354f034f4b178f0c146be574b099db8f503","observation_id":"de7acdc8-a3a4-43e0-bdf7-fc9597e7f09b","resolution":{"observed_at":"2026-08-06T19:24:06.861985Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:06.457153Z","title":null,"venue":null,"work_id":"0c11baa1-470f-427e-9661-1cf61d3bb57a","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.424190Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:e580826a2083c2d863076ae9f0488bd682c4034af57aa39a2e2010778d18f052","observation_id":"71682601-6742-481c-89cf-a82b75575cf6","resolution":{"observed_at":"2026-08-06T19:24:06.606954Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:06.163226Z","title":null,"venue":null,"work_id":"66deda34-8dec-4936-b2e1-66d252754d49","year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.527706Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:35bb6ce580d9a98ade89fe48541d4f5df0aa3b9cea918cb203071e7b503596df","observation_id":"351919ce-a082-476e-a574-bd819182cefe","resolution":{"observed_at":"2026-08-06T19:24:06.304404Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:05.888392Z","title":null,"venue":null,"work_id":"78959845-701b-4c0d-9238-594bb972e5d5","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.610764Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:e72daa3b0d6ab55b73ed863181544d6fb60bccd97df17d907efaab82eaabb232","observation_id":"9ac19999-6a77-4441-ae54-288b5c24de69","resolution":{"observed_at":"2026-08-06T19:24:06.031079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16506","last_updated":"2025-07-12T11:09:06Z","snapshot_observed_at":"2026-07-06T18:20:05.707144Z","submitted_at":"2024-05-26T10:11:40Z","title":"GRAG: Graph Retrieval-Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16506","snapshot_observed_at":"2026-08-06T19:23:48.732212Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.732212Z"},"links":{"cited_paper":"/paper/2405.16506","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:e9cce46ffd61011a30db13d4f19430898b2601ad0a33f5f44e5288ebe709aaf4","observation_id":"f683a44d-0dd7-40ab-ab36-897cbc46d857","resolution":{"observed_at":"2026-08-06T19:23:48.732212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19543","last_updated":"2025-06-29T14:57:19Z","snapshot_observed_at":"2026-08-04T01:17:19.430713Z","submitted_at":"2024-04-30T13:14:51Z","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19543","snapshot_observed_at":"2026-08-06T19:23:48.861410Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.861410Z"},"links":{"cited_paper":"/paper/2404.19543","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:23e11ec1d393ae48500004f15837d02c3dbd0fd834bd2716ca59c6bc69401164","observation_id":"0e650bbb-8505-4fa3-ba35-d669135f04bd","resolution":{"observed_at":"2026-08-06T19:23:48.861410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:05.723266Z","title":null,"venue":null,"work_id":"eb245f42-0cdc-4419-944a-9dce42b645d7","year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:48.958102Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:230c97daee1d349e74c9342d1ad972c30481fbecee3ed5c9a57614e9ed5ffba8","observation_id":"b079f138-c304-41ef-9e93-172a29c5d35f","resolution":{"observed_at":"2026-08-06T19:24:05.792855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:05.548274Z","title":null,"venue":null,"work_id":"1f8a8435-1550-4f09-b70f-f1493ddedab7","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.029420Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:fbb6ac11e2a99e8ebe27fe8f4db5959223e0b66290b2bd5bcd382202b69b032b","observation_id":"3e333f54-e7da-4dba-9295-249f3ed1d06b","resolution":{"observed_at":"2026-08-06T19:24:05.634142Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:05.409034Z","title":null,"venue":null,"work_id":"e9f71651-5bd8-433b-a896-d21bae42b5ce","year":2018},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.107852Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:32e55418f235b0bacb26e291a29c92964f5eaac6d5a18a75d00e85419d0336ef","observation_id":"20321dda-ded9-4c17-849b-fa833d64cdd7","resolution":{"observed_at":"2026-08-06T19:24:05.479429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06474","last_updated":"2023-05-10T21:43:42Z","snapshot_observed_at":"2026-07-06T15:25:47.518595Z","submitted_at":"2023-05-10T21:43:42Z","title":"Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06474","snapshot_observed_at":"2026-08-06T19:23:49.205988Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.205988Z"},"links":{"cited_paper":"/paper/2305.06474","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b6e18ee5a34883f78d0ac9597a8fc14c2e2de5c1b1245225ad385cb6203d532c","observation_id":"41a9e943-acce-4184-baee-49a45540d343","resolution":{"observed_at":"2026-08-06T19:23:49.205988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:05.179157Z","title":null,"venue":null,"work_id":"892e4071-34f3-4b26-8565-20550e1116cd","year":2014},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.279094Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:fceae0f25a7dc251030faf7d51f5c916f525055e78807107752a9fd6a1cab177","observation_id":"84497721-e113-4747-bf77-ac5ed7d931c7","resolution":{"observed_at":"2026-08-06T19:24:05.294751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:04.916345Z","title":null,"venue":null,"work_id":"3a6a4dd4-f889-4a4b-a640-f54b009c1600","year":2009},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.378782Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:97cd9bbf86c3203310bb1e43d7e66d8c86a751cbf1f1f7e6c314579fed8980ae","observation_id":"77ad4fca-016b-456f-b908-9aef2e10e8ad","resolution":{"observed_at":"2026-08-06T19:24:05.043904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:49.453940Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.453940Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:524a0e6b6be59758c134c66ff2e134b438a644ec50d23fc518fdb8376ee2d064","observation_id":"8b002984-3ece-4f21-820f-0d5107343f9c","resolution":{"observed_at":"2026-08-06T19:23:49.453940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:49.511870Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.511870Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:2b229f69472d7e7b524aeeab753318a1bea8e743c97600d870d0f15b3265a3a2","observation_id":"a28d849f-038d-4d67-a473-e5f0143c5cdb","resolution":{"observed_at":"2026-08-06T19:23:49.511870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01157","last_updated":"2024-03-23T17:05:42Z","snapshot_observed_at":"2026-07-06T16:13:46.112815Z","submitted_at":"2023-09-03T12:33:47Z","title":"Large Language Models for Generative Recommendation: A Survey and Visionary Discussions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01157","snapshot_observed_at":"2026-08-06T19:23:49.680939Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.680939Z"},"links":{"cited_paper":"/paper/2309.01157","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:273c64b6d08789e8e66302fd6a0c29fe135844285a49443ac42edaa21a04a1a9","observation_id":"301fc81c-16bf-43e7-9ff1-5038625595f2","resolution":{"observed_at":"2026-08-06T19:23:49.680939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:04.374309Z","title":null,"venue":null,"work_id":"9f9410cd-2171-4e60-9413-4bb7c6a55544","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.761503Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:fb2841120cca0abb0ec44911cc508f50b29b6770048e38e7ec53e2c9ac1d1081","observation_id":"a8afabce-80c5-43ae-a331-27e6447827de","resolution":{"observed_at":"2026-08-06T19:24:04.457315Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:04.059857Z","title":null,"venue":null,"work_id":"1110f76a-8bd1-4255-bb72-2d3c1b98b6dd","year":2019},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.833645Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:87ddb21646fcc423792d96dca68a4deeb06c3e0f8ea0f7f92b5c987bea7328a4","observation_id":"87996b8e-86fa-4791-8a8c-ae8a544d2ce6","resolution":{"observed_at":"2026-08-06T19:24:04.142973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.847941Z","title":null,"venue":null,"work_id":"19bfe37c-0f62-47a2-b0ee-efec4cc23870","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.932988Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:c8cfb079735850db49fd089af2f65f501a246a0649427abaa61f270a850e1fe1","observation_id":"28de279b-d9f2-4a40-9861-1ec030de07fa","resolution":{"observed_at":"2026-08-06T19:24:03.958182Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:04.592777Z","title":null,"venue":null,"work_id":"c800706c-6a10-4228-afb0-42e11b9db70c","year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:49.584415Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:5103841bd70545fc53ae96293425dfb75556444208361133ffe358557d06321e","observation_id":"c3b08bc0-71bc-4212-833b-9b1dbfa42305","resolution":{"observed_at":"2026-08-06T19:24:04.749517Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.575972Z","title":null,"venue":null,"work_id":"4b9d5e6c-ca75-4039-9c57-b29c404c4fba","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.164064Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:a86d0df9d424caca60448e893d28f716d0c942e188de76203f9570e562f01e7d","observation_id":"28bed968-504f-416a-ad07-5330c1fc3055","resolution":{"observed_at":"2026-08-06T19:24:03.636462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.427323Z","title":null,"venue":null,"work_id":"38b860b5-8547-47e6-83c2-9cba62a17671","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.255176Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:722e9e7d7652038c7a262a521d3e5685e021ec07535049ac851cf7dfd8d78022","observation_id":"b5c01f5b-1ef8-4329-b8af-89229fdf7de5","resolution":{"observed_at":"2026-08-06T19:24:03.497320Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20139","last_updated":"2024-05-30T15:14:24Z","snapshot_observed_at":"2026-07-06T18:22:44.129954Z","submitted_at":"2024-05-30T15:14:24Z","title":"GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20139","snapshot_observed_at":"2026-08-06T19:23:50.351787Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.351787Z"},"links":{"cited_paper":"/paper/2405.20139","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:64c3da6505643fe7fd0c5980e8ac4bb027040e50c4536c41abe44c60ac2ee9b9","observation_id":"bc371a9b-7cae-4eb7-99c5-8b3541c8075e","resolution":{"observed_at":"2026-08-06T19:23:50.351787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.271564Z","title":null,"venue":null,"work_id":"c3af7b0f-3e49-4292-9b75-ca3ddcc9e54e","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.455956Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:266adfc6ef99f3c25f4ba941886f193ac52b359e19f9b97d33d622bcf3f6e6d7","observation_id":"9e41a602-58bc-49e6-9ce8-18497219248b","resolution":{"observed_at":"2026-08-06T19:24:03.346820Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.711786Z","title":null,"venue":null,"work_id":"42c95c47-0337-49e7-8bd8-f6aa4658858a","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.026357Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:7420aecfdb64f31d120c9010c7a86e16d2a51d774be1108f54db697754dd956b","observation_id":"29e3fcee-648c-4f83-ac94-254ca8dfae81","resolution":{"observed_at":"2026-08-06T19:24:03.753565Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:03.132237Z","title":null,"venue":null,"work_id":"3043d300-4fdc-4a97-8ddc-927d02151844","year":2019},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.604411Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:1df6c1b9ab173101ea365723279974663a21c866259aba0f71c6724b27f16601","observation_id":"6ffe3359-07fc-4dda-98a0-2f0baaae0695","resolution":{"observed_at":"2026-08-06T19:24:03.203037Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:02.969475Z","title":null,"venue":null,"work_id":"c5cd02de-3682-450c-b0da-93b51c963cba","year":2020},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.723186Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:3728376e0c1cb8d11bf2809aa46e08a3f2a2eb88ce147d93145a65e88b4f3b02","observation_id":"62576e0b-c793-4ae6-bd13-d8612a63afdb","resolution":{"observed_at":"2026-08-06T19:24:03.047231Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:50.859520Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.859520Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:cebb574d3bf9c1c8cac0056185ce20081b9f5d67405b127aa1fd7871c6a0410b","observation_id":"93f1c056-7128-4805-b69a-efcae835a416","resolution":{"observed_at":"2026-08-06T19:23:50.859520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:02.597057Z","title":null,"venue":null,"work_id":"600ed470-4da8-466b-af60-aa5dec9e1182","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.017696Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:c73d9816f95c78d2ab27bfa573945e6cad5e13795248e083fb33903732ef8856","observation_id":"f29ed962-4788-41f3-a0d3-37fdef5fb673","resolution":{"observed_at":"2026-08-06T19:24:02.657093Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08921","last_updated":"2024-09-10T15:38:56Z","snapshot_observed_at":"2026-07-06T19:01:41.274385Z","submitted_at":"2024-08-15T12:20:24Z","title":"Graph Retrieval-Augmented Generation: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08921","snapshot_observed_at":"2026-08-06T19:23:50.552658Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.552658Z"},"links":{"cited_paper":"/paper/2408.08921","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:39b6ba6188b3dac341fd1581ba716c81e9856d5d51e2256b04527d80846d1eea","observation_id":"74e2d5f9-d63c-4369-b677-9ec0338bf73b","resolution":{"observed_at":"2026-08-06T19:23:50.552658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:02.300925Z","title":null,"venue":null,"work_id":"d201b00e-8a8c-43f1-91d3-4a0400381623","year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.206552Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:53538ab667e0df3c6a94d23e1dc3f786839f1e682f1b86b2dd1e230bf80de74d","observation_id":"9cfd0776-d2fa-4eac-807e-e1eef4dc0a24","resolution":{"observed_at":"2026-08-06T19:24:02.430391Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:51.304141Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.304141Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:87d37071420d1046dfed17e1af8d828cdf623035ed7131442be607ad2699bdce","observation_id":"acfaf7f6-cde0-4ce1-96d1-68c7fd931ed3","resolution":{"observed_at":"2026-08-06T19:23:51.304141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:01.839448Z","title":null,"venue":null,"work_id":"95b51451-75de-4b91-923b-fabf7b98532f","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.481560Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:8007865cf40e02dfec7cfdc8631c4be3a504c4e6b523d536561997ab0352aa96","observation_id":"bc0158b6-a631-4f43-9a25-1033dda77a7e","resolution":{"observed_at":"2026-08-06T19:24:01.950917Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:01.522233Z","title":null,"venue":null,"work_id":"e45240bc-d472-4ea6-9642-79c3788ecd7f","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.587657Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:4a0c76a7b1c55878cb5f946dfb3bd758f63e79eb211aa8eb585ec82d96d5f2a8","observation_id":"a063fe86-18ff-4bb2-a7be-9d1ac4501a37","resolution":{"observed_at":"2026-08-06T19:24:01.650713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-02T11:57:18.735747Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-06T19:23:51.700152Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.700152Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:bc5a844b22bdde9fd13b63dd8f95f64904e374a546f4a127c5bc90f0f784497e","observation_id":"daa2550a-7fab-4db0-89d9-5d53590dc94a","resolution":{"observed_at":"2026-08-06T19:23:51.700152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.00573","last_updated":"2021-05-24T03:17:05Z","snapshot_observed_at":"2026-07-06T11:14:50.038790Z","submitted_at":"2021-05-24T03:17:05Z","title":"One4all User Representation for Recommender Systems in E-commerce","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.00573","snapshot_observed_at":"2026-08-06T19:23:51.103315Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.103315Z"},"links":{"cited_paper":"/paper/2106.00573","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b708ff49a31739bfad8f9371a949aed52e0764e1d2186d964940f48aeaa56e90","observation_id":"69c740bb-0795-4137-9af8-d45c5bb8db94","resolution":{"observed_at":"2026-08-06T19:23:51.103315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:01.181906Z","title":null,"venue":null,"work_id":"dd8f6c42-762e-4f31-8c72-306205c7983b","year":2020},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.964039Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:9e940f68cd4dfb8210553606041da379dd63af051ef6b9f0a6bd9a0cff8a694c","observation_id":"ae7d0eea-71db-4a84-bb09-ab58540f466e","resolution":{"observed_at":"2026-08-06T19:24:01.349277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03153","last_updated":"2023-04-06T15:35:11Z","snapshot_observed_at":"2026-08-07T00:54:10.504174Z","submitted_at":"2023-04-06T15:35:11Z","title":"Zero-Shot Next-Item Recommendation using Large Pretrained Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03153","snapshot_observed_at":"2026-08-06T19:23:52.092468Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.092468Z"},"links":{"cited_paper":"/paper/2304.03153","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b010a4db9a0146dba129f1a484ad6679f0c019439f67f6c4f76a1bf8df774114","observation_id":"2553a390-91cb-4839-916c-b4ea4e20d07a","resolution":{"observed_at":"2026-08-06T19:23:52.092468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:01.009270Z","title":null,"venue":null,"work_id":"d40eb11f-348c-4ead-b029-13d13f621473","year":2019},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.190935Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:94e968973762c0a08fca220498ce10aac1a2294c61f767303a9cf517896d990b","observation_id":"e94a9c04-51c6-452a-91c2-e4e398e6d5d0","resolution":{"observed_at":"2026-08-06T19:24:01.079310Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:00.840947Z","title":null,"venue":null,"work_id":"7a797b31-d481-47ea-96be-e81941b258ae","year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.283961Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:411e54722858f562950f4d0b4a0c6304c4d85a2640375eb9916ef3d8fe3ea2b6","observation_id":"3e582c48-5a01-4d3c-8a56-2aa481f9c094","resolution":{"observed_at":"2026-08-06T19:24:00.925067Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:00.519442Z","title":null,"venue":null,"work_id":"3836962b-b2a6-4774-ba3c-27b65e89e856","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.397242Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b17efe6d2b15233499b943111884ebb7765a6bed6497162a98f8e9b27cf5e43f","observation_id":"bd8d5f41-0b77-4e37-8dbc-6252ddc604a8","resolution":{"observed_at":"2026-08-06T19:24:00.675516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:00.149654Z","title":null,"venue":null,"work_id":"2e56ab93-574f-4043-a5dd-06c9f1e3060b","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.509983Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:d9c14f24d7a73761b54713f71e060ba4a819f6d204b7021149263cc072f24f05","observation_id":"494e0219-4ac8-4303-ba3a-c00cda9440e0","resolution":{"observed_at":"2026-08-06T19:24:00.366932Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-06T19:23:51.829610Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.829610Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:bfc571c8aa73fb15c080aacde3fad996fcdc4a5fb7a1b75d24d5eaf703f3bb44","observation_id":"d3df36a4-344d-41eb-9476-8520fc862ef0","resolution":{"observed_at":"2026-08-06T19:23:51.829610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:59.473015Z","title":null,"venue":null,"work_id":"bf4f0f7f-9de4-47ce-abef-404e38f11e46","year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.741011Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b3096892bc7f9bcdb4798ba1e6f092a7762023c56996cfad85f938cb6d0fe43a","observation_id":"0f31b8b6-00be-4fd2-9d32-cee4597bbf68","resolution":{"observed_at":"2026-08-06T19:23:59.651268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:59.190599Z","title":null,"venue":null,"work_id":"941b9a47-0501-41bd-a2ee-8b069c397a53","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.819618Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:7dd6aa52b2e63616f26e1d0bcd7852f8061756f42b9eb238684d0db618c4549c","observation_id":"e584a9ed-64a1-4454-8b16-402f7fe9e8b4","resolution":{"observed_at":"2026-08-06T19:23:59.298973Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:58.895299Z","title":null,"venue":null,"work_id":"f8d55783-428a-480e-a239-48481a531a2b","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.934532Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:6f45ceb5f7bcf705b34b8d87d8ce064db65346752c9fffa2c0cf57827e91e6c7","observation_id":"987684f0-cb62-44f3-8cad-b023d2a26e84","resolution":{"observed_at":"2026-08-06T19:23:59.044744Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07622","last_updated":"2023-06-07T17:55:58Z","snapshot_observed_at":"2026-07-06T15:26:34.939192Z","submitted_at":"2023-05-12T17:21:33Z","title":"PALR: Personalization Aware LLMs for Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07622","snapshot_observed_at":"2026-08-06T19:23:53.066800Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.066800Z"},"links":{"cited_paper":"/paper/2305.07622","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:a7f7ca17836e1258fe0a2132e1ebb769f1064f873e64cd41cff1e9acfe4d649d","observation_id":"1709cd0f-3ff5-4cb4-960e-aa377c3d1b6d","resolution":{"observed_at":"2026-08-06T19:23:53.066800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:58.618011Z","title":null,"venue":null,"work_id":"c4ce4e37-8d3f-4312-8f79-561d5afd15b2","year":2020},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.181651Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:1af7af9af24540d432db3c186e5f1bfeed1a5b46f870623ef9abbfd84bdf4956","observation_id":"7ee26b3c-081d-43f7-b0eb-c1155cd2fa01","resolution":{"observed_at":"2026-08-06T19:23:58.734966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20343","last_updated":"2023-11-03T09:51:38Z","snapshot_observed_at":"2026-07-06T16:41:03.157136Z","submitted_at":"2023-10-31T10:33:23Z","title":"Large Multi-modal Encoders for Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20343","snapshot_observed_at":"2026-08-06T19:23:53.287712Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.287712Z"},"links":{"cited_paper":"/paper/2310.20343","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:ad8093c6c12c371563b1fbdaff8a7b241d7f63a9d3df39919fb30cfb1ff35b50","observation_id":"d29e8619-f61b-4b70-a5de-6c45fc9ab057","resolution":{"observed_at":"2026-08-06T19:23:53.287712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:59.787190Z","title":null,"venue":null,"work_id":"ed6bb0c3-30b8-4b24-b7cb-e763241bcbec","year":2008},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:52.611992Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:acdf881c6cbce05b70b262715fbe93ba20dd9b02b3b4a5990503ebd91b45af3e","observation_id":"d9206bd6-a148-43ad-9bcb-681afaad2ccc","resolution":{"observed_at":"2026-08-06T19:23:59.989871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:53.613763Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.613763Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:52ad7f6de88e609e631f998d547f29a7f1b3a546c07820a0e8078a56984cb79d","observation_id":"6fba0df2-d202-412d-b80e-d61d4b120c3c","resolution":{"observed_at":"2026-08-06T19:23:53.613763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:58.051739Z","title":null,"venue":null,"work_id":"e273fd42-00ce-4d37-859d-07377c83ae68","year":2025},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.725975Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:30c2bd0ff7d99b5ed6bd6d9f5ebca435820a49a6b5e2a85017b398a1c288c358","observation_id":"e51a2dbd-4e91-46ae-9018-4a17d25a99c7","resolution":{"observed_at":"2026-08-06T19:23:58.179482Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:57.834543Z","title":null,"venue":null,"work_id":"ffa6903b-4efb-4984-b5cd-dcca93a488a1","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.848793Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:977dba03eea1928efda51c79ea1da7b12ea7341dcccf9c84606cab8aa06d7b2b","observation_id":"02e6d158-e8c7-4fcb-b1bb-09ebd72d7b9c","resolution":{"observed_at":"2026-08-06T19:23:57.946545Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:57.503097Z","title":null,"venue":null,"work_id":"59d00e15-99dc-4760-8544-eea804dba91d","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.969901Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:54aecac8dde92c15023914a4224ed2157c66688808383cabe385cb1735721069","observation_id":"6753fa6a-ec8a-4cb0-af65-bac25b74483a","resolution":{"observed_at":"2026-08-06T19:23:57.669899Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03326","last_updated":"2024-04-04T09:52:45Z","snapshot_observed_at":"2026-07-06T17:55:32.806430Z","submitted_at":"2024-04-04T09:52:45Z","title":"A Directional Diffusion Graph Transformer for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03326","snapshot_observed_at":"2026-08-06T19:23:54.084916Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.084916Z"},"links":{"cited_paper":"/paper/2404.03326","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:f4e885f34512b7c8bd0f4ae88c9554bbf8690adbe9bfae46d193f952d3abff1e","observation_id":"06bdf6db-0294-46c6-90e6-4ad494ac83d1","resolution":{"observed_at":"2026-08-06T19:23:54.084916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:57.265860Z","title":null,"venue":null,"work_id":"86cc4a7b-2c86-47f6-be08-1b2004a7de90","year":2022},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.182877Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:6b029c9dcb762d71d8cc606c0b60edf5372d72917730ddf7381429e1ff977f2d","observation_id":"00224031-c891-4334-89bb-67ba4cb29c27","resolution":{"observed_at":"2026-08-06T19:23:57.361014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:53.389363Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.389363Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:33ccb3d688bdd8e853453ba1d84ca626f44dca3db89d1b8d9b528d14de81a8f2","observation_id":"e0fc3206-1927-48f4-8de7-c7096db64384","resolution":{"observed_at":"2026-08-06T19:23:53.389363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:54.415505Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.415505Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:ba5b8c1eb7482707d53dc83d6f427f0ed7b8b91b87a48b835f46ea129fe7dc4d","observation_id":"1a2c8b33-21de-4b0c-a618-f40fa08fd4b2","resolution":{"observed_at":"2026-08-06T19:23:54.415505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:54.609093Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.609093Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:b14d93ab8d1bb5e539fd5af66e2937384f5068b0b6d41dd4f647518e0e70221c","observation_id":"62d3afb0-55fa-4228-a64b-f5f57dd49d0f","resolution":{"observed_at":"2026-08-06T19:23:54.609093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:56.537047Z","title":null,"venue":null,"work_id":"6c196ea7-d709-499e-afae-f8210cc75cd5","year":2021},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.747254Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:c65e3aa6db8bbcaa13cff513937cf5d4483a8828d6397e4b226c542646091aa4","observation_id":"fdab6905-cb23-4e6f-af0e-f944a0f6c463","resolution":{"observed_at":"2026-08-06T19:23:56.680196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:56.318155Z","title":null,"venue":null,"work_id":"e198bd4b-7cd1-466d-b4cc-a771966f960a","year":2018},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.872613Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:303a4aea22971929c7daad04a06a4660c7ab07e86ff63ec49b631cee7db81044","observation_id":"a4ed8a70-9f4a-4819-a313-8f65236e9466","resolution":{"observed_at":"2026-08-06T19:23:56.408708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:56.090481Z","title":null,"venue":null,"work_id":"6a7a9d31-078f-479c-a2c6-fd97252af50a","year":2019},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.954896Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:a114f531ee6cc719487ed79c6e3aeff497736a35b5530c25458c4502db774d91","observation_id":"d391c2d5-8ef1-4f51-8862-aa026eb3c55d","resolution":{"observed_at":"2026-08-06T19:23:56.220544Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T19:23:55.102194Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:55.102194Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:9088362261d0805eb76a48f44c509ff62348d378752084bccebe0a62699dd6ac","observation_id":"227be508-9023-43e9-b9d5-7610cacb1c01","resolution":{"observed_at":"2026-08-06T19:23:55.102194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:55.905022Z","title":null,"venue":null,"work_id":"28ae2a7d-a775-4cbf-b837-728a7f5df029","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:55.231906Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:fab4c17c4aef96be9168df037da23ca10370c9a5fd7bfa631de33f0ef88fbc45","observation_id":"95ed6a65-f5e6-4c7d-8051-af38a09e333f","resolution":{"observed_at":"2026-08-06T19:23:55.964992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:57.020556Z","title":null,"venue":null,"work_id":"69784c75-413a-4689-b6e5-70b4fb72e811","year":2016},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.290737Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:9d32583b1649e387ff449b4a4ba9e41c7c696da7909e86c3c0bfda129731e554","observation_id":"e8047350-8863-4371-8439-195110282ea2","resolution":{"observed_at":"2026-08-06T19:23:57.108905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:56.801810Z","title":"Transactions on Information Systems (2023)","venue":null,"work_id":"5ecfc9c8-f29f-4962-a9a7-703ca5a99cd7","year":2023},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:54.521931Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:28c404aac76e83d0ed44d1e0986c9e9d27fce7f6e8eac4b61c9fafa81b8dec63","observation_id":"3dd3a207-d990-477e-bb65-683bacf05df9","resolution":{"observed_at":"2026-08-06T19:23:56.897955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.635520Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.635520Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:09f96e3f7b354a7cab00d5835d555e6e6942e824891c2395d89dd561c510a37d","observation_id":"66b5abd3-82ed-4693-bf35-8448eb291923","resolution":{"observed_at":"2026-08-06T19:23:46.635520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:02.804437Z","title":null,"venue":null,"work_id":"13afb31b-4497-4399-9f9d-55f3e6ce485d","year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:50.945529Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:197d6e3533f127952f78e51c7a7c70580e2a387e6d19dd1ad5a636a318f3f805","observation_id":"64ce1736-0298-49f8-ac4b-49377cecf0c7","resolution":{"observed_at":"2026-08-06T19:24:02.871403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:02.095080Z","title":null,"venue":null,"work_id":"dd13028f-bf1b-452f-a1a5-67e14883172a","year":2024},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:51.392078Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:d216c29d34be2aadade6cb990b46f5d5c41d0b6ee9f8765419af4d76042a06a3","observation_id":"da14bad2-8494-4cf1-ab70-667966139651","resolution":{"observed_at":"2026-08-06T19:24:02.218155Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:07.825159Z","title":null,"venue":null,"work_id":"5c8f2b85-4c3a-48d7-b94c-b87255813465","year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.946630Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:e2c7564be63a125387db3cd261e82af9b1bbeda9654dab4e2057f2579b154182","observation_id":"69aad8ad-9879-4d21-a563-926e935109dd","resolution":{"observed_at":"2026-08-06T19:24:07.981321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:47.472474Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:47.472474Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:ada34b911a40301417eb322dc9f1cb2f458885f5f5f660aed1145ce1f46a4fd3","observation_id":"57d8b7b5-05d0-4935-812a-918d6a7a4162","resolution":{"observed_at":"2026-08-06T19:23:47.472474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:46.446469Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:46.446469Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:56d8e6c6179a4dd1dfbc32535c427667d5087b83bc7e5466aca810978c4a06dd","observation_id":"62ff0670-2e61-4a03-8ab2-8b9b766fe28f","resolution":{"observed_at":"2026-08-06T19:23:46.446469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:23:58.329782Z","title":"ACM Transactions on Recommender Systems 3, 4 (2025), 1–25","venue":null,"work_id":"8e0635dd-2986-4034-b3df-f0c4a7ee29a3","year":2025},"citing_paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T19:23:53.516109Z"},"links":{"citing_paper":"/paper/2507.05863"},"observation_digest":"sha256:3dcb94475b7231d727d0b123353136f02c5b9f33c9c0e8d2841652d8b39114fb","observation_id":"4595a55d-fe15-4f0f-8e01-91b506fb6b47","resolution":{"observed_at":"2026-08-06T19:23:58.401112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.05863","last_updated":"2025-07-08T10:44:27Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T19:14:23.719501Z","submitted_at":"2025-07-08T10:44:27Z","title":"KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation"},"reference_resolution":{"displayed":92,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":90,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":92},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 1 inbound Pith citation observation for arXiv:2507.05863."}