Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:23.319123Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2507.13525.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:23.319123Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 107 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d1229ee6-26f4-4891-b4fb-b87dace61d28 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Observation abf5e507-d85e-48df-b92b-d5959819c681 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Observation c6909d97-880d-4cd9-a1af-be8ae0a258cc · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Observation 9d1742e4-550b-485e-8923-42c3b3ea85d1 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Observation 74bb6a1a-468a-4d3d-94e1-02f7201a272a · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
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Observation f60b2031-2bab-4420-9207-5e5a658a7e80 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, and Silvia Milano
Reference 11
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Observation d1a2721c-5df4-4e42-a31c-01d126593d62 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Reference 12
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Observation b67920ee-9e80-4813-958d-a68dca5a1d91 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 13
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Observation 1c8feb49-5bba-484e-8d35-e6db88d4a8a3 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation
Reference 14
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Observation 32c3b25b-8c2d-483b-85b8-914166773ebc · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Reference 15
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Observation f2de68af-52f2-4f9a-8fa3-9302e9cad2e4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 16
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Observation 322ce2c4-c9c3-4263-a440-a3bc235c9817 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 17
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Observation fe31a2d5-4c16-4b3c-bcf7-55c2cb9bebd4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 18
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Observation 4b914f7c-8323-4e3c-9d8b-b8d7d4d0c2b4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 19
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Observation 3534ac82-7c89-4489-8065-f92e1b0c4913 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation McAuley, and Wayne Xin Zhao
Reference 20
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Observation 2c06db50-9257-4912-95d9-5d010d3195d4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 21
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Observation 7c101553-f878-4a61-a138-ea4a92743bf2 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 22
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Observation 56ef0084-5d28-4903-b138-66b5f9f717df · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 23
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Observation bc8303c1-fdb2-4d40-a6c2-d0477c3f3a38 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 24
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Observation d631bde4-1285-4f2d-9db3-1db74fb9e4a9 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Bell, and Chris Volinsky
Reference 25
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Observation 46562782-21d3-4c63-87d9-67cb19b725cc · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 26
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Observation e69974c5-adbc-4ff2-8205-8e985b5e47d5 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Reference 27
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Observation 9f346a38-8621-4166-94c2-0f87b6a4bd99 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 28
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Observation 2eee526b-9f87-4096-abbb-189195155020 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 29
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Observation 2277d50e-2fc3-4178-a8f0-b20af4f34318 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 30
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Observation d170c00e-3f01-4f52-98b8-5c37d13cfa0e · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Is ChatGPT a Good Recommender? A Preliminary Study
Reference 31
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Observation 6383774f-7cef-4cab-8b27-b5cbcac049d0 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Improving LLM-powered Recommendations with Personalized Information
Reference 32
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Observation 8241b54c-f697-4a2f-a68e-164cc958f25d · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 33
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Observation 88448814-485c-4404-af8e-2ecf9dbd952b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 34
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Observation 6f88ce3d-67d3-4ad7-9567-afbc44954dcb · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 35
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Observation 6dc8913a-263e-4255-8f1d-65f5ab26e5d4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 36
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Observation 44d0b81d-76ce-4600-b169-c3363b79c553 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 37
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Observation e0185b64-4a2d-47aa-bed6-996c3a3eae29 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 38
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Observation 973060ef-e757-4593-b179-2a9d0088dea1 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 39
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Observation 514342f0-a8b2-466d-8723-104e8ed13661 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Petrov and Craig Macdonald
Reference 40
Source-reported events for the cited work
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Observation a6a67525-c8b1-4425-98e0-05f5dd27b7b5 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Anderson
Reference 41
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Observation 2acac194-bdf4-485e-bb45-40703cfc35e0 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Reference 42
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Observation 80283e34-9e69-441e-b04d-4d471a9e495f · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 43
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Observation 7d8fab55-cad8-40cf-a13e-9fedd47aee68 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 44
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Reference 45
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Observation 416aa812-2662-43f0-baf4-53bbc86f1231 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 46
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Observation f57cdd04-7be8-4337-a85e-b4850550b781 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Reference 47
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Observation 3d7d962a-2c84-4833-b5d5-cc8d1bee5037 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 48
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Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 49
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Observation 3f61c9b4-f6f4-454e-8f37-65db9d000a0f · outbound
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Reference 50
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Observation 5aeb1dfa-1064-4372-814b-7872294e2c34 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 51
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Observation 18a397a1-4619-44bf-a0ed-e410ea79eaeb · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Le, Ed H
Reference 52
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Observation 7c99722a-bdb7-4442-9d3c-c30dd148a1ac · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Reference 53
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Observation 6bb64728-23d3-42c5-8096-e8036239bc2b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 54
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Observation 87573292-7e1f-41cb-b661-cab4449c83f5 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 55
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Observation eeb9f140-06bd-40cc-88c2-4225fa68a7c6 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 56
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Observation 137e6688-8f1a-48b5-9e3c-93e77490b165 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 57
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Observation 239c142d-0154-4211-b923-3f0aac081107 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Chi, Quoc V
Reference 58
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Observation 24ce6a44-db06-4a70-a796-fd670669d4f8 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Le, Denny Zhou, and Xinyun Chen
Reference 59
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Observation 106e4074-0f09-48ee-ad3b-1a9e8d7f9741 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Narasimhan, and Yuan Cao
Reference 60
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Observation a9f41f87-acf8-4568-ba7f-bdf70d0ea3d4 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Reference 61
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Observation b78aab8a-f3f1-47e9-a305-dee0000d9548 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 62
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Observation d1d8ffe3-564d-4306-8111-11d734f8cbd5 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Chi, Quoc V
Reference 63
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Observation 10c71a1b-d780-422e-bd43-4d4d9410df3d · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 64
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Observation 3fb38358-7fcf-4bda-bb76-33bae8f6a4ca · outbound
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Reference 65
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Observation 9a519760-a726-4315-ab3e-e4b9b9033488 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 66
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Observation f28ca736-411e-4afb-b251-e756e7629a61 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 67
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Observation d98a62ba-3cae-4c27-8843-78559e0c92a5 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 70
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Observation d8dd70a8-1fc9-46ef-b7bb-e55e4945c018 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 74
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Observation bd4dfca6-fbe2-418c-9332-38cfa79115bb · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 75
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Observation f78cdd7e-0a7f-4739-aae5-611524517e65 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation After analyzing the candidate products, I will provide a ranked list indicating the order of preference for the user
Reference 76
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Observation 80a2f84b-077f-42bb-ad3f-2b27420d0e42 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 77
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Observation dece6d1a-7882-4980-b4c0-75698b836091 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's rank the products
Reference 78
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Observation 32112b5b-8f69-40e3-be1c-e5a374cccdff · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 79
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Observation a5a5cf8f-e08d-4f31-a7b8-5668e2354c5a · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Tyler Perry 's A Madea Christmas
Reference 80
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Observation 816498d5-f505-4829-86d1-35e1b1cbd919 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 81
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Observation 1a5de39b-b8b9-4b70-8301-cf07d69b7c0d · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation The Bourne Identity,
Reference 82
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Observation f2f78459-5f2e-4c1d-b023-32b974f79aa8 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 84
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Observation 8410056c-30b8-484c-ba62-e4af8bc1fb5e · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 85
Source-reported events for the cited work
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Observation c0f61bb4-5ce0-412e-baad-220827b0c8d8 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's analyze the candidate products:
Reference 86
Source-reported events for the cited work
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Observation 2a3a0483-9e4d-4885-b98f-2727da1a0d16 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 87
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Observation 2d5af0c3-15ca-449f-92d9-42560903aaa1 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 88
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Observation 263a526a-4606-41b3-b76b-7046ba0cdbb2 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 89
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7dd2c4bc-9055-4b0c-885a-e51cb73b862b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 90
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 30c46051-ca4f-4a59-9280-a3fc945ad566 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's analyze the candidate products:
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7928a3be-70ae-406a-8c48-74f5fdc18644 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation It has a compelling description and fits the action/thriller genre
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c33f0c8-223c-401f-9427-4dc5ea38f339 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Bourne Ultimatum
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ad27620e-1ae9-4f1a-b27b-b63bcb935c3b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 99fcad61-3f72-40c9-86e0-c0d633ec184f · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation # Candidate Products: You will evaluate the following 10 candidate products to determine which ones best align with the user 's preferences for high-rated action and comedy films:
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0358dd23-456a-4586-80e1-c0a527f0d264 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e6cfa9b2-4946-4c5c-9fc0-9fd43ccb2631 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 952555f0-ec6f-4428-a3f0-5aee48c25320 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e742053a-1757-4758-b3b2-262b65f6c02b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation ### Answer: Based on the evaluations, the ranked list of candidate products is: **[4, 9, 8, 3, 2]**
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7647914f-c8c0-4c24-b7bb-21229a612c3c · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9760541b-febd-48a6-b16e-ccf3a8e9ae27 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 101
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6a3df143-fa73-4e56-b404-eadab6d0c96b · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Given these criteria, let 's analyze the candidate products:
Reference 102
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b9bc7d8-6d64-44f4-b55c-e53f9cccc4b7 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation It has a similar action and espionage theme
Reference 103
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 37c057d7-1176-4dfd-836d-93151c636d86 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work
Reference 104
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 491187fe-3d3a-4594-ba13-d88b8e6bf976 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation For instance, if the user enjoys a mix of genres, including comedy or drama, those products could be ranked higher
Reference 105
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 031360b6-8956-4424-a720-64df9b25dad3 · outbound
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation This would allow for continuous learning and improvement based on user responses
Reference 106
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.