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Paper Citation Record · LEDGER

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation

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.

pith.paper-citation-record.v1
2507.13525 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:23.319123Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 107 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved73
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1229ee6-26f4-4891-b4fb-b87dace61d28 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:22.961380Z digest=sha256:319e6a944f52c6c85d1d0b75d4f3b0d9c9849d60623feb373c7e05afa05fa3f6

Observation abf5e507-d85e-48df-b92b-d5959819c681 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-06T16:27:22.964515Z digest=sha256:899e974e64c82e771d5e6d0e0ea10fc6956caf2d5a150cd32b171771447e3e32

Observation e3270b96-33a7-45dc-a3b9-d3e967042f07 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-06T16:27:23.054316Z digest=sha256:24c57d27360101fa2c01e91f8f14eb29ef409b7623297fe950ace477b258dbfe

Observation 00633b33-c19b-4c87-8dd2-dc00dec7f4e6 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-06T16:27:23.056961Z digest=sha256:b5e9586d3b2010728df817c605decf727b5166886320e025dbf1c45224f2cf8c

Observation c6909d97-880d-4cd9-a1af-be8ae0a258cc · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-06T16:27:23.059660Z digest=sha256:0ba876127229e5e6afa156a3f3153b41a81a4758064a4670e0c0231cba7ff885

Observation 9d1742e4-550b-485e-8923-42c3b3ea85d1 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-06T16:27:23.062548Z digest=sha256:d5bdc1e0f339233406a9a5fa5635a9ea6a240d07c10fb9ec10618effc63fde46

Observation 4ce6f95a-8f70-4738-a10f-3c5bec003669 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.065123Z digest=sha256:88229eea4bfe246c7c2fe2fa9ee7bea0020dce53efbb84a55e8c18c206a86907

Observation 74bb6a1a-468a-4d3d-94e1-02f7201a272a · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-06T16:27:23.067776Z digest=sha256:398742b728f5f39ca09842fe7938abd6f8ddb6970d60e7f417f6b9789b317a46

Observation b044ebef-146a-4cda-9c32-98b8cf792c96 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.070722Z digest=sha256:25d30f358abb7d6dc1a84c6537ce393a236ff1b74817bf92755e665a4ca59db2

Observation b3e1f64e-5247-4c6a-9628-15f4a114515a · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-06T16:27:23.073159Z

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source=pdf_text observed=2026-08-06T16:27:23.073159Z digest=sha256:e303b9d837bb42b6bfab3f75cb6ac1ff97feda61793c01000cb4cb1fd72c4263

Observation f60b2031-2bab-4420-9207-5e5a658a7e80 · outbound

This paper cites McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, and Silvia Milano.

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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no resolver link, observed 2026-08-06T16:27:23.075894Z

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source=pdf_text observed=2026-08-06T16:27:23.075894Z digest=sha256:35b52fbf2724a697defbdc21cfe968f9fbafbd15ee92eb3148189935b3d62de7

Observation d1a2721c-5df4-4e42-a31c-01d126593d62 · outbound

This paper cites Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves.

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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source=pdf_text observed=2026-08-06T16:27:23.078614Z digest=sha256:b5b098aa3fed8097029efa63330fdc83350579dc3b75ec2f0ea676be87a3da7e

Observation b67920ee-9e80-4813-958d-a68dca5a1d91 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-06T16:27:23.081504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.081504Z digest=sha256:47f4bcc038f7ed40f160fc704a638479879559259c046491b901994f3cd1b27f

Observation 1c8feb49-5bba-484e-8d35-e6db88d4a8a3 · outbound

This paper cites Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation.

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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no resolver link, observed 2026-08-06T16:27:23.084212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.084212Z digest=sha256:a517a0fb4df57a267a25ac797d754efaee8d469c51e48d696b9ca2077185f0d6

Observation 32c3b25b-8c2d-483b-85b8-914166773ebc · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

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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no resolver link, observed 2026-08-06T16:27:23.087264Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.087264Z digest=sha256:42871f1a2419c910cc2d41b59516ff250c085f8cd3b77309402a365fdd5f4978

Observation f2de68af-52f2-4f9a-8fa3-9302e9cad2e4 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-06T16:27:23.090019Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.090019Z digest=sha256:9417c0286a69909e2e6f53b2719068ba8f69d5123be9b7fb84cfdebaf4b1c6f2

Observation 322ce2c4-c9c3-4263-a440-a3bc235c9817 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.092757Z digest=sha256:4422cc82af8d8330f68aa81849c1737613ca8bd569c2829a316e7514067389a3

Observation fe31a2d5-4c16-4b3c-bcf7-55c2cb9bebd4 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-06T16:27:23.095357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.095357Z digest=sha256:4a39737f28e766cc9afe7f04b531530e8a93403ca8c776cae0d1fd56ff3f60f5

Observation 4b914f7c-8323-4e3c-9d8b-b8d7d4d0c2b4 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-06T16:27:23.098242Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.098242Z digest=sha256:1c454a27c769fe5ed2f15df62e24d1ef7b6488aac44e52bf3bbe72527f263f4b

Observation 3534ac82-7c89-4489-8065-f92e1b0c4913 · outbound

This paper cites McAuley, and Wayne Xin Zhao.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation McAuley, and Wayne Xin Zhao

Reference 20

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no resolver link, observed 2026-08-06T16:27:23.100676Z

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source=pdf_text observed=2026-08-06T16:27:23.100676Z digest=sha256:9be4ce5f75b6d6556da3c4ccb332cab7b9a6a4dba9939cac27e84ff1dc0736f5

Observation 2c06db50-9257-4912-95d9-5d010d3195d4 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-06T16:27:23.103077Z digest=sha256:e9ad0bbfb1fd35258fce2d31c76d4e0a46e474c155f54ba6cbc7aa9d1e604b77

Observation 7c101553-f878-4a61-a138-ea4a92743bf2 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-06T16:27:23.105601Z digest=sha256:0b94b0ff53b4bea1cbeba041c2cd169f6a2194a8369aeaeab7ba9f263025091e

Observation 56ef0084-5d28-4903-b138-66b5f9f717df · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.108263Z digest=sha256:e57e5951c50ee0ebcc1f512b0bac1f3bc81f1725b2227da727b0de3be8d50664

Observation bc8303c1-fdb2-4d40-a6c2-d0477c3f3a38 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-06T16:27:23.110861Z digest=sha256:0a18ace77c6734d3bd0c0a17c5ce60bb2f9030966a3169d4a2cbf3e3143da95e

Observation d631bde4-1285-4f2d-9db3-1db74fb9e4a9 · outbound

This paper cites Bell, and Chris Volinsky.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Bell, and Chris Volinsky

Reference 25

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source=pdf_text observed=2026-08-06T16:27:23.113897Z digest=sha256:0b2845c1891f6250d90868052d198b1d1c64f8231e69991abd38d343d4fea682

Observation 46562782-21d3-4c63-87d9-67cb19b725cc · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.116634Z digest=sha256:11e36b116640c2a245ddb0c7c097b26cc5ebda7532ebd63197843858202eb646

Observation e69974c5-adbc-4ff2-8205-8e985b5e47d5 · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

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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source=pdf_text observed=2026-08-06T16:27:23.119561Z digest=sha256:99ce905e8732aa3bbe10f5ce634b3654a073218d8166935c8da7b8145eefc2e6

Observation 9f346a38-8621-4166-94c2-0f87b6a4bd99 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-06T16:27:23.122396Z digest=sha256:10c51b0ba92292b62c5d0987dbbfb8c4cde583b9f657f7be327e2f9a075c7a66

Observation 2eee526b-9f87-4096-abbb-189195155020 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.125144Z digest=sha256:8eac5e4d56faea535f1b828ee37c12f2a39bb812d5a00fa8286fd50f35b38adc

Observation 2277d50e-2fc3-4178-a8f0-b20af4f34318 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.127649Z digest=sha256:a1fa6273db65678d1c1484945088ddf1236a5f22a366769c84011ec3bcdea457

Observation d170c00e-3f01-4f52-98b8-5c37d13cfa0e · outbound

This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

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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no resolver link, observed 2026-08-06T16:27:23.130275Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.130275Z digest=sha256:2f7bd8ef1f0ea90544e83c715bd8640c99733a08d2de2abe688ab47b9b80675b

Observation 6383774f-7cef-4cab-8b27-b5cbcac049d0 · outbound

This paper cites Improving LLM-powered Recommendations with Personalized Information.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Improving LLM-powered Recommendations with Personalized Information

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:27:23.405514Z

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.

source=pdf_text observed=2026-08-06T16:27:23.133139Z digest=sha256:b486f052022186ef81e5c4c2cf98a3f940c5323ffdafe1539947c7cb40390789

Observation 8241b54c-f697-4a2f-a68e-164cc958f25d · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-06T16:27:23.990780Z

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.

source=pdf_text observed=2026-08-06T16:27:23.136148Z digest=sha256:1a6915e5e4c3ecb088c669cd74540cb065d908bafd8ff50451492799bd8b7373

Observation 88448814-485c-4404-af8e-2ecf9dbd952b · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-06T16:27:23.982109Z

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.

source=pdf_text observed=2026-08-06T16:27:23.138507Z digest=sha256:acb6402c8d2763261b3f01dc6d065d148e6020c2fe9e67249dbc6bfe6901237f

Observation 6f88ce3d-67d3-4ad7-9567-afbc44954dcb · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-06T16:27:23.973045Z

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.

source=pdf_text observed=2026-08-06T16:27:23.141115Z digest=sha256:e0c662d8ae065cab8f148cb03a3eceeee7a7aa0ed1833f3357c7083671b9248e

Observation 6dc8913a-263e-4255-8f1d-65f5ab26e5d4 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-06T16:27:23.954865Z

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.

source=pdf_text observed=2026-08-06T16:27:23.146440Z digest=sha256:c6d898a73011f6e8081598fcb502be8afa673a4503f0cae9867b26399778abff

Observation 44d0b81d-76ce-4600-b169-c3363b79c553 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-06T16:27:23.945279Z

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.

source=pdf_text observed=2026-08-06T16:27:23.149029Z digest=sha256:e1afc6bcf3ce0846855423328ffe397c1cfd2a7c188ddbf47559e62ccf85e187

Observation e0185b64-4a2d-47aa-bed6-996c3a3eae29 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-06T16:27:23.936219Z

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.

source=pdf_text observed=2026-08-06T16:27:23.151623Z digest=sha256:f982652c6c3e95619a17626590737f144b9e7b47e1e5306beb3938fcc05f8f3b

Observation 973060ef-e757-4593-b179-2a9d0088dea1 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.927406Z

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.

source=pdf_text observed=2026-08-06T16:27:23.154554Z digest=sha256:f4f3ac9e80afdb3543deed30784f5f1c2e80a1d1fc8c1078600cb1b9863719bf

Observation 514342f0-a8b2-466d-8723-104e8ed13661 · outbound

This paper cites Petrov and Craig Macdonald.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Petrov and Craig Macdonald

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.918923Z

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.

source=pdf_text observed=2026-08-06T16:27:23.157038Z digest=sha256:5608a734dde8e59df5edfb7897e1308646eb6ad548c3030d911d71aa93b60f20

Observation a6a67525-c8b1-4425-98e0-05f5dd27b7b5 · outbound

This paper cites Anderson.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Anderson

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.910193Z

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.

source=pdf_text observed=2026-08-06T16:27:23.159440Z digest=sha256:476c9012d390cb1025e2baa2ff277463008c24f57e26695613c13055b374ec7d

Observation 2acac194-bdf4-485e-bb45-40703cfc35e0 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.161730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.161730Z digest=sha256:013bff22f0def171244d0c35a128e5bf376154e91d52e37c14bef1337f8e83df

Observation 80283e34-9e69-441e-b04d-4d471a9e495f · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.899003Z

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.

source=pdf_text observed=2026-08-06T16:27:23.164195Z digest=sha256:37aa4a16c8d0864c6f43c3bf9cd9c6141382a652dfd8d2f8c60adf1f4eeb5470

Observation 7d8fab55-cad8-40cf-a13e-9fedd47aee68 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.169887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.169887Z digest=sha256:b7ebf8d0e30f14bd0bc9eb42fe180e86e2084eb2a53a0fc9a56748fa15ddd2be

Observation 3962767e-2904-4b8f-9b14-3fa5ec2eef56 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.174818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.174818Z digest=sha256:378a6940362816219667ce40223f2b6b49b73fa8664d2edd4162fd37e5aca6df

Observation 416aa812-2662-43f0-baf4-53bbc86f1231 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.854313Z

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.

source=pdf_text observed=2026-08-06T16:27:23.179715Z digest=sha256:4c9723644946210167d220c34f1af4af3ba1ce007e0b9f3adfc0b5179c5b6acf

Observation f57cdd04-7be8-4337-a85e-b4850550b781 · outbound

This paper cites A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.182275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.182275Z digest=sha256:513c616c3f25c29af5211cd58ff14ce0bb753a8238f9c4d0ac39bb43b13f301d

Observation 3d7d962a-2c84-4833-b5d5-cc8d1bee5037 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.882582Z

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.

source=pdf_text observed=2026-08-06T16:27:23.172230Z digest=sha256:810f2c5e21a15b21c0a24a2bdabee080a17a92cbe5577a7dfae7329c5fc6b6e9

Observation 576f3fd9-bc2a-4326-a421-11ef194aaef2 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.843874Z

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.

source=pdf_text observed=2026-08-06T16:27:23.187962Z digest=sha256:90d83f5dca9d1f663bceeab83f9aa33721a7b675f64517fecbc0370d7b1f99ed

Observation 3f61c9b4-f6f4-454e-8f37-65db9d000a0f · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.834164Z

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.

source=pdf_text observed=2026-08-06T16:27:23.190737Z digest=sha256:f5924a378f34f424b7528154e26961f424aaf4581fe92f93e713e1d23c657ec9

Observation 5aeb1dfa-1064-4372-814b-7872294e2c34 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.824104Z

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.

source=pdf_text observed=2026-08-06T16:27:23.193110Z digest=sha256:d752f84a76bba01dba30cda699c8026041916a79415c1e29b5adea1d45415b43

Observation 18a397a1-4619-44bf-a0ed-e410ea79eaeb · outbound

This paper cites Le, Ed H.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Le, Ed H

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.815438Z

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.

source=pdf_text observed=2026-08-06T16:27:23.195620Z digest=sha256:f2c403f3a78c1821327fc5adc20feb3e79b60ee9147ca8b2e743857e81897792

Observation 7c99722a-bdb7-4442-9d3c-c30dd148a1ac · outbound

This paper cites Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.184884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.184884Z digest=sha256:aa47ddb1f64f5ae3a2dbfccfce15ea405fadba979cfc1a3cb3c6a3a669c20051

Observation 6bb64728-23d3-42c5-8096-e8036239bc2b · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.801939Z

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.

source=pdf_text observed=2026-08-06T16:27:23.200854Z digest=sha256:ff4085af17e21b29522b5ced21e3382bf99093061ab19bf551384f74ca8f27bf

Observation 87573292-7e1f-41cb-b661-cab4449c83f5 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.794392Z

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.

source=pdf_text observed=2026-08-06T16:27:23.203631Z digest=sha256:ec468a6962bd255fb2a6f8cf14a4dfd993544a6cabf11ce0f72edc8c9686ff5d

Observation eeb9f140-06bd-40cc-88c2-4225fa68a7c6 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.205913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.205913Z digest=sha256:19d8631ef74b776d4ccafce4c1e44dd3eb84d3d217a8cc692e02d74f1c2e5f50

Observation 137e6688-8f1a-48b5-9e3c-93e77490b165 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.774067Z

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.

source=pdf_text observed=2026-08-06T16:27:23.210942Z digest=sha256:4d934004d5be780c4347659b3e635a61fa5dae3b27b1221cc661d6cfd446be5f

Observation 239c142d-0154-4211-b923-3f0aac081107 · outbound

This paper cites Chi, Quoc V.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Chi, Quoc V

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.198459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.198459Z digest=sha256:fbcfbdf212b676fc302ebba4b68150cafc8f98b5b237a82d1749192760b1246d

Observation 24ce6a44-db06-4a70-a796-fd670669d4f8 · outbound

This paper cites Le, Denny Zhou, and Xinyun Chen.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Le, Denny Zhou, and Xinyun Chen

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.757908Z

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.

source=pdf_text observed=2026-08-06T16:27:23.216023Z digest=sha256:a7e6faba064685055018bd5c1ee78fd47ccbd73e8c9db4a9f20f949a29d2ef65

Observation 106e4074-0f09-48ee-ad3b-1a9e8d7f9741 · outbound

This paper cites Narasimhan, and Yuan Cao.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Narasimhan, and Yuan Cao

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.218587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.218587Z digest=sha256:a33c1cb67be905a6a8656379bea91522173a5bcdb1395e8750eeabf3b79ef90f

Observation a9f41f87-acf8-4568-ba7f-bdf70d0ea3d4 · outbound

This paper cites LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.221188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.221188Z digest=sha256:f9828b04343403bc7a5c848384a81b887969a615cfacdf6ad2dd64a7272780a1

Observation b78aab8a-f3f1-47e9-a305-dee0000d9548 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.223725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.223725Z digest=sha256:e7f39cf075f2abfa51bb16005ead5c28489a544c1b1286f3e4e0894a8fb8b4b8

Observation d1d8ffe3-564d-4306-8111-11d734f8cbd5 · outbound

This paper cites Chi, Quoc V.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Chi, Quoc V

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.739711Z

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.

source=pdf_text observed=2026-08-06T16:27:23.226128Z digest=sha256:e0c3ae4c778d3458203b53f8585ea4d2a5fe82a10d6714ef9588dd8deeac9fb7

Observation 10c71a1b-d780-422e-bd43-4d4d9410df3d · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.765917Z

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.

source=pdf_text observed=2026-08-06T16:27:23.213576Z digest=sha256:ae759d042911bcf268d28a0a36b591397f76fe7beed2ac5d16a0fa6f86ef1d12

Observation 3fb38358-7fcf-4bda-bb76-33bae8f6a4ca · outbound

This paper cites Language-Based User Profiles for Recommendation.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Language-Based User Profiles for Recommendation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:23.231134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.231134Z digest=sha256:f6929632d1206ff2e4d1eaefc4f0c239fc6555e9d998e2ffd1645c70f46388cc

Observation 9a519760-a726-4315-ab3e-e4b9b9033488 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.725025Z

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.

source=pdf_text observed=2026-08-06T16:27:23.233552Z digest=sha256:bab1795b7785730139fd8502ef3586d70c44a83449e3e77e73d63e40ffd269dd

Observation f28ca736-411e-4afb-b251-e756e7629a61 · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.717811Z

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.

source=pdf_text observed=2026-08-06T16:27:23.236015Z digest=sha256:cb05d85d80997d62db9e33c4ededda550ae3cbe21d51955ab1616e98d18c5ea0

Observation d98a62ba-3cae-4c27-8843-78559e0c92a5 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.732260Z

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.

source=pdf_text observed=2026-08-06T16:27:23.228637Z digest=sha256:ec670f2fff56ecab024b86bda02b93c20d2cea6db169034f86d6f34fdfc6cd63

Observation d8dd70a8-1fc9-46ef-b7bb-e55e4945c018 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.710439Z

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.

source=pdf_text observed=2026-08-06T16:27:23.238860Z digest=sha256:ecb25e3f2683cec355c8277874ddc4f57c0c1240619e2716136d84a605506d5d

Observation bd4dfca6-fbe2-418c-9332-38cfa79115bb · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.703348Z

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.

source=pdf_text observed=2026-08-06T16:27:23.241586Z digest=sha256:9e94ee07f4caf541d541e0d5fe5eeda269a36df0a5e809fb26d98600bb0f7ba9

Observation f78cdd7e-0a7f-4739-aae5-611524517e65 · outbound

This paper cites After analyzing the candidate products, I will provide a ranked list indicating the order of preference for the user.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.694160Z

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.

source=pdf_text observed=2026-08-06T16:27:23.244124Z digest=sha256:6b59edd8d191fe637ab7acce713d855e17876f8552c74e0c48892290a837384d

Observation 80a2f84b-077f-42bb-ad3f-2b27420d0e42 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.686775Z

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.

source=pdf_text observed=2026-08-06T16:27:23.246722Z digest=sha256:cac0f9bdffafb2af97fa582bff97cb422f92a211c93d44f22b9b4f6f7428bd80

Observation dece6d1a-7882-4980-b4c0-75698b836091 · outbound

This paper cites Now, let 's rank the products.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's rank the products

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.679027Z

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.

source=pdf_text observed=2026-08-06T16:27:23.249266Z digest=sha256:f0b431d0e4cc851b03e3bb9cff60cd53038f13d89e61ef529e5827c36c44f489

Observation 32112b5b-8f69-40e3-be1c-e5a374cccdff · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.671730Z

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.

source=pdf_text observed=2026-08-06T16:27:23.251863Z digest=sha256:2a11a915595413d1800d2bea856f41acc03d70ede7b28eaa32ae76220ce64348

Observation a5a5cf8f-e08d-4f31-a7b8-5668e2354c5a · outbound

This paper cites Tyler Perry 's A Madea Christmas.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Tyler Perry 's A Madea Christmas

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.663869Z

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.

source=pdf_text observed=2026-08-06T16:27:23.254278Z digest=sha256:59f33a20a73a24c5a79748e876147df24819995a2f48bb90dfc5436a104597e5

Observation 816498d5-f505-4829-86d1-35e1b1cbd919 · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.655503Z

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.

source=pdf_text observed=2026-08-06T16:27:23.256930Z digest=sha256:64d005a034b4f2f8b623b953dee92fb169823ac6f8124022b3e7a43b3088da35

Observation 1a5de39b-b8b9-4b70-8301-cf07d69b7c0d · outbound

This paper cites The Bourne Identity,.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation The Bourne Identity,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.647884Z

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.

source=pdf_text observed=2026-08-06T16:27:23.259521Z digest=sha256:3132fadceba92ac3110c5c42b50443edb07c2917b988e0daea2ff42bcca1f625

Observation f2f78459-5f2e-4c1d-b023-32b974f79aa8 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.632212Z

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.

source=pdf_text observed=2026-08-06T16:27:23.264608Z digest=sha256:864de787dc8a7101d555ab709000d75ec9cca435a999c760ad0c1b1959238f6e

Observation 8410056c-30b8-484c-ba62-e4af8bc1fb5e · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.625313Z

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.

source=pdf_text observed=2026-08-06T16:27:23.267138Z digest=sha256:8f542d4e327818db88150c65a477e1841bcb26e7014710f18941aceb3805229e

Observation c0f61bb4-5ce0-412e-baad-220827b0c8d8 · outbound

This paper cites Now, let 's analyze the candidate products:.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's analyze the candidate products:

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.618118Z

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.

source=pdf_text observed=2026-08-06T16:27:23.269397Z digest=sha256:ef03407de39618a25534d9d503f32c58ed593f1dfa1f7ecc0036604d0093eb24

Observation 2a3a0483-9e4d-4885-b98f-2727da1a0d16 · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.610194Z

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.

source=pdf_text observed=2026-08-06T16:27:23.271907Z digest=sha256:06ecc34e9161a65c7706aa388714b9896a90c2fc1f1cd7886d2eb0e40736c35e

Observation 2d5af0c3-15ca-449f-92d9-42560903aaa1 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.603053Z

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.

source=pdf_text observed=2026-08-06T16:27:23.274283Z digest=sha256:5f7b7bb15b13bce0ba247d35ab20606d395d5c3faab375defcb737150312d015

Observation 263a526a-4606-41b3-b76b-7046ba0cdbb2 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.595783Z

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.

source=pdf_text observed=2026-08-06T16:27:23.277017Z digest=sha256:ab4115a52fc93be814bc3eb9a0a798a6e4d8aa1a762120e9a19769fc525c766e

Observation 7dd2c4bc-9055-4b0c-885a-e51cb73b862b · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.588418Z

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.

source=pdf_text observed=2026-08-06T16:27:23.279636Z digest=sha256:3b2ba31a8e7d8fcc941ae41e0af40027bb5a14312ad4a276744fcca1e31ff252

Observation 30c46051-ca4f-4a59-9280-a3fc945ad566 · outbound

This paper cites Now, let 's analyze the candidate products:.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Now, let 's analyze the candidate products:

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.580736Z

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.

source=pdf_text observed=2026-08-06T16:27:23.282013Z digest=sha256:19ef7d3e8696cdb23f8b8813f0f9028793254b2314c45ae01f9a745475db2ea1

Observation 7928a3be-70ae-406a-8c48-74f5fdc18644 · outbound

This paper cites It has a compelling description and fits the action/thriller genre.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation It has a compelling description and fits the action/thriller genre

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.573193Z

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.

source=pdf_text observed=2026-08-06T16:27:23.284345Z digest=sha256:dd4149e647d186391d39115a970546903dca01ab793cb7c3f641cdfdd20c8cee

Observation 2c33f0c8-223c-401f-9427-4dc5ea38f339 · outbound

This paper cites Bourne Ultimatum.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Bourne Ultimatum

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.565859Z

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.

source=pdf_text observed=2026-08-06T16:27:23.286744Z digest=sha256:b03ff9cb97049fbc54cf321aa09063dec364e7cb64dcb06d382c4b1c6037b124

Observation ad27620e-1ae9-4f1a-b27b-b63bcb935c3b · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.558835Z

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.

source=pdf_text observed=2026-08-06T16:27:23.289497Z digest=sha256:2876ad43da7221cc00bfa14efb1e44a2a5f5cafe7f174347e10b2bf72b7e1534

Observation 99fcad61-3f72-40c9-86e0-c0d633ec184f · outbound

This paper cites # 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:.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.551053Z

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.

source=pdf_text observed=2026-08-06T16:27:23.291909Z digest=sha256:8b121a1b88eafc224464255ad585628b5a21ee14868d7052ae663e87a2927e48

Observation 0358dd23-456a-4586-80e1-c0a527f0d264 · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.542755Z

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.

source=pdf_text observed=2026-08-06T16:27:23.294285Z digest=sha256:3d6d8359415dddb6acc9bf5060d3eb2c5afb5185304bc03970a95af33158cd70

Observation e6cfa9b2-4946-4c5c-9fc0-9fd43ccb2631 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.535312Z

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.

source=pdf_text observed=2026-08-06T16:27:23.296702Z digest=sha256:a282f775dd52cbbf5217c462d195d1b89ff0bcee98204c499c8aa11f93829ecb

Observation 952555f0-ec6f-4428-a3f0-5aee48c25320 · outbound

This paper cites (omitted).

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation (omitted)

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.527459Z

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.

source=pdf_text observed=2026-08-06T16:27:23.299564Z digest=sha256:a8b98c62961cd3ccf2fac3a6de5e76e8d15e79d4f71593c26c6490521964c34d

Observation e742053a-1757-4758-b3b2-262b65f6c02b · outbound

This paper cites ### Answer: Based on the evaluations, the ranked list of candidate products is: **[4, 9, 8, 3, 2]**.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.519716Z

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.

source=pdf_text observed=2026-08-06T16:27:23.302044Z digest=sha256:06e1441a5f70f94cfd0f78c4d69713aac75f73ad8bb1409f119db3a198f8232c

Observation 7647914f-c8c0-4c24-b7bb-21229a612c3c · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.640003Z

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.

source=pdf_text observed=2026-08-06T16:27:23.304575Z digest=sha256:9681aa0123ef70c581e292c70c382d22e031e5e476ceb58f2bfa4a5c9e5c6447

Observation 9760541b-febd-48a6-b16e-ccf3a8e9ae27 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.511637Z

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.

source=pdf_text observed=2026-08-06T16:27:23.307051Z digest=sha256:e3370c0f23aa930853d1cb3aa483103c596c0ed3ac01cddc48b4e518d4624dca

Observation 6a3df143-fa73-4e56-b404-eadab6d0c96b · outbound

This paper cites Given these criteria, let 's analyze the candidate products:.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Given these criteria, let 's analyze the candidate products:

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.503715Z

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.

source=pdf_text observed=2026-08-06T16:27:23.309529Z digest=sha256:0c8633a0d57f3443227fb8a4447d706a05a98528420130f4a28dcd8f09af4b74

Observation 9b9bc7d8-6d64-44f4-b55c-e53f9cccc4b7 · outbound

This paper cites It has a similar action and espionage theme.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation It has a similar action and espionage theme

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.495582Z

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.

source=pdf_text observed=2026-08-06T16:27:23.311969Z digest=sha256:4513d96b3a09b686e025dabd55a7f926b1dc87a26fb1f9750158367480ad47ef

Observation 37c057d7-1176-4dfd-836d-93151c636d86 · outbound

This paper cites an unresolved cited work.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:23.487141Z

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.

source=pdf_text observed=2026-08-06T16:27:23.314390Z digest=sha256:b615b4a5b94123a124b86029224a84e69107508436c8efdf10186c5c9e424056

Observation 491187fe-3d3a-4594-ba13-d88b8e6bf976 · outbound

This paper cites For instance, if the user enjoys a mix of genres, including comedy or drama, those products could be ranked higher.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:23.479462Z

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.

source=pdf_text observed=2026-08-06T16:27:23.316617Z digest=sha256:f3049847f848948f2310b87b7ddc3dd0fb84d8b4b5a13ad18dc82c380c05f9f9

Observation 031360b6-8956-4424-a720-64df9b25dad3 · outbound

This paper cites This would allow for continuous learning and improvement based on user responses.

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T16:27:23.471220Z

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.

source=pdf_text observed=2026-08-06T16:27:23.319123Z digest=sha256:b278e1cfe283738fa247f2438bd67836661fd49deeb76845d046b60ecab490f6

Pith citing papers

No inbound Pith citation observations are available.