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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:22.961380Z digest=sha256:362287ed9e905cf2800c839e5fe948ecd0a9cac4b2d0f4de23d551e252e69e9d

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=sha256:93864101f67716233ca8f0c9d9aa8be1902d43d7775418227b79c5f4f9b612cb

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.054316Z digest=sha256:c0177b0658bf9a08e52f5ecae883dad10989863eef7401d7dbfe4673b9a4aff6

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=sha256:26c33c75f7cc917967a64f8fe38411b9a4c1150c9fa86faaa2ef1bc99da48940

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=sha256:19ceeb3a275892e361e78bb5900e45fc27e941d5802e5511bffd9461349e5dce

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:a87da864eb0b998655609db2efabb925a6c336fc9bfa1ab03eca72a4704def96

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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no resolver link, observed 2026-08-06T16:27:23.065123Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.065123Z digest=sha256:18a21c0c4cdb27508bd28bb580f5d1626b96f6ce92ee20716c4b41b10e99da22

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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no resolver link, observed 2026-08-06T16:27:23.067776Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.067776Z digest=sha256:a86e6d731cb982b829c51e573f4fdd05469604fd8ea6fe8f58a316672fc792c5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.070722Z digest=sha256:6138101ba0b22fef8f96518d5f995cfa3ca1399a68901f1bc641290920bcbe6d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.073159Z digest=sha256:c05b571f317f3c92791271b2a85f0add9a1b1d612657f7027983211a062079f3

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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source=pdf_text observed=2026-08-06T16:27:23.075894Z digest=sha256:4dab5253a6267bbb0242844d5fa521e15e51dab79a0261eac3c6029561ba7d1b

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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no resolver link, observed 2026-08-06T16:27:23.078614Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.078614Z digest=sha256:fdf5f91fecb780f35e68b91e38433caf11b9b409dc663eb3f4941a919d5b5a60

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=sha256:65b5946958e49767a51b7970324922ad5cbb11461dc875a8e72fa3f02f451c9e

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=sha256:91ad694041bb6f0cb9d5ad51fd848c118df83e93408e6d1c92a98512a54b4ee3

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:f05f65fc0c11543fb9f99c94d3453cf931cebf066f57527ff8c9698b308965cd

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.090019Z digest=sha256:16cde6daaef7f583fba6436c81b3ef449c1556f524757645432779f12e341521

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:f5f73a7a774582e177e5a0f5f2d0308010186dbfe7f0cadbb0289a8266846152

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.095357Z digest=sha256:867a3733f678720a4377c6875b6b6fea2a05cbe49b48dd8d928fa626a5a23ea2

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:f632491771520709cc390d25262684a0f23401de0cae1fab876b08386ee680e4

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=sha256:42c4d56d7eee9958d93d4e78f884375894a80e909afead3b3f342c8c586f8272

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:de4d993da523a6b2500e152d14ad6196b19bf8a46aa1f2facafaff651b6f2ca0

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:ea53f68eb8e1b1c41568c01f872ffde6c6948b0d4560121be118dc9e147dd3a4

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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source=pdf_text observed=2026-08-06T16:27:23.108263Z digest=sha256:fc53b156de6f8936f280daf1865ff63869dbcac1f2032bca23a7cf33badb4b03

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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no resolver link, observed 2026-08-06T16:27:23.110861Z

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source=pdf_text observed=2026-08-06T16:27:23.110861Z digest=sha256:96acda024624b264a8d3fa4a4031b395978b8d005a2df458dc75db8e2b61b55e

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=sha256:9b5ed7b4b1bb66b9b6b9cb3883a49b25ea0ea48f6ef3cfc3d6a03ecffc8ce8c2

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=sha256:7ccb3e4dd7f8d5f47927044118204b6da8424b136c9bec6ce2f34ccd0b7748ca

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:a2710af0b6ae9faf7a028357b6fe45f034d31bca1a32d90645e752b70c7d72c8

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.122396Z digest=sha256:e50e066358ccc85d4e1656849a52f0099fdbabe6952f722f63c3a149db470f2f

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=sha256:9955e0f5693f7f1aa4932a43dc45330712214e317352704c8969ea6b1e8ddd74

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:f94fef960000686a0c1ed6ef2ffb5a7f53e24bdfbd7e416a5a8e94bd534c7bf0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.130275Z digest=sha256:0d812f11176df96dda4ebfdc4e7b45061a2629ea52cb5a339ddc2606763c492d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.133139Z digest=sha256:a70e5c92d37ddb2bc141d8a94f812ab7b13843e2934737c3d39f171bb8855f26

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.136148Z digest=sha256:e0cd1b36ab5ecf4b7e94a872a9984704920ad7c4b5d6ce6cd5a4d2be70ad84cc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.138507Z digest=sha256:4981116c7a11bf47d057eaafe9b0ed5cc38ed17f60dd5ed865af974e11a37862

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.141115Z digest=sha256:344993a6ef64479290301b77817a613ae222d9295b873273c493fff93fbf5b85

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.146440Z digest=sha256:857625768db04fe84283bcb752420a12a5e4bb9dea3570f2dfe920350529208d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.149029Z digest=sha256:133ef6030b4af8cc29172479e3296fd2eddb586c03f8641cb712246a201d1ca7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.151623Z digest=sha256:e90914f0ee623a921abfb087a4b30b58e0ab875cd47e191bca6627e006ae9dd8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.154554Z digest=sha256:bf67fb3d185f5549b4f6414cf98340975ceb42703f8d53bc121bcde4e494a111

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.157038Z digest=sha256:f93e2e1c4eed1a9a2f3dd4111e62559767c7dfa7de9e3f0193a3a1275b1a46fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.159440Z digest=sha256:99b0558917aceb74318a9b1aa46e8df0edd5fea1dc9a489564d17ad5467f93aa

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:d4ec691ce64df83d552abe3ab88c8adfe8ab000f9c70551151473c91783aa08d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.164195Z digest=sha256:db52e5a64c4c0eabf7bed6fad6e46c2d1858111c2664b4c06d9bf3d1672993b0

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:a5f28a3c86cd0e072be017a18b56c50eb62f35af2bc32d6fc80743f6cc934843

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=sha256:6f4b26fc7cdb23ff7d99f68ce553e65bf2dc01c28c14fc7a30667b5351ab3ef5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.179715Z digest=sha256:9a0ba7cdfa4d8654e0374226f66a137571642a71b4ce5cca0aeb43a669ee57f1

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:e0200805deb65b689f3d5692e497d60c5091732bd8bbc642838221458fcd0559

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.172230Z digest=sha256:65b2af1ea1a839a1180126cc694e5cc32024121067fb22de2f4481a6de04d729

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.187962Z digest=sha256:1811b5160743bd111ca781c8eccae83f8ed46cc4a70200ce5499d024e4565959

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.190737Z digest=sha256:794e802ad9d7141f31009b07716d149a5d049ae56f7a512e633b1399ef5d62d3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.193110Z digest=sha256:404cdf5cdb6cdcf0ed4b92e2da409577509446acda290a0134b9d2c983f32d16

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.195620Z digest=sha256:c9bf19e35e7cf39c4662c8d8e5a0a597dca5d5935d05cceeb4ec50c4af9482b9

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=sha256:875143132c3797bac4f6ae3dc517b3e51cd5d5ac1050b74f7d5705f11d773763

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.200854Z digest=sha256:28731ad94f00adc7ba83331ae325b99eece415dbee59c916e55b00d646ba5a1b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.203631Z digest=sha256:f0b138b15cc9d6d459b8a36e1330d2ee7e467674b5eb058a9f47576a19cfb821

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:b289ffaccd9f33fef34f28fdc7fbd9f4b51d9cc45a51047d35ae8b86b4d06d1a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.210942Z digest=sha256:532fe5b1a6326bebf712d81b9b86393a22de6acb8939ca67832fbc81fe5dc469

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=sha256:3493e0f0546cdd6c7e8a62124e1d5a3edea7cdf4fc906e5f686c4ff52228a9c6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.216023Z digest=sha256:a4166cc0bacad6f008938d2d44d00ee1342bd7f2bed6661eedd7d374dad33e85

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=sha256:2f6b16796b4ce091f39558427f3f335feb72bf53dd4e8e77589624457aa24371

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=sha256:838d4a33319c31d0c378a657f16f339292c9773156cad90d420e7338cb99077f

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=sha256:969d7ef67b590a5dddafd68c274fc40cfaebf634afc8f5ffe20b4494142d6a16

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.226128Z digest=sha256:1a8ca673f48bf82c1caf48e569f12c3c177369481af08078a6e86046cf3f4976

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.213576Z digest=sha256:94a2180b9bda3b4361be392aa085f10593c9ecce4d5574dacf4d07c0fe1a9c60

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:aa8a64aea0f4aef07f660413006530a9b8af5d87c276afcaf832e4042098d820

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.233552Z digest=sha256:2a9e9f442efb57200380d5deaecfc9e185ea2483a3c68646aeb8291d18c53201

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.236015Z digest=sha256:d64b7025d930adac61eafe6b212c83ef7e5f57ce282f3fb43e3ebf895af2d112

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.228637Z digest=sha256:3a5444e0d67a384d3156a36c9b48b3be797d4a35b8e51264e73cfbdf89a37dfb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.238860Z digest=sha256:324d7dde07afc6b1c579d0931c330f4a80de9611fe7213141899c4108be9116a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.241586Z digest=sha256:73169ebd416e175fda10e38cae2af1cada0f6490968cf5652c7d5c383da50385

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.244124Z digest=sha256:deed5d0294eac8a4532a4712f06d1599339fefcd60cb3d24e955bb76b1ac09e5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.246722Z digest=sha256:b98c9f8aa0d2a88c850695434f43eb8266b283380d9e5d162387c7e187add5b7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.249266Z digest=sha256:ef14b1f7d5656915ac893c8c7dd3abbe77325a3546d226a09483bdb874b4b93a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.251863Z digest=sha256:967365d595cab04839dbcf9a2a78b31f941be1be3b5ca79774320cbe915fa3a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.254278Z digest=sha256:6fade6389cb925f43a6b557161608b00b6ee8ea912f1f88b3adeefc3b3856875

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.256930Z digest=sha256:e3171a1a898f99c90f5de2e10423edc22d3fb4111b5566d01aebf8fb6fd8c2d2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.259521Z digest=sha256:5a14acc65025c8acd44ab0699b13d1b76742304d70298feda2897cc448017d76

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.264608Z digest=sha256:d454c4ffff2e792a62aa1b7f20752f679de6258135e021523526a65d6c82302a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.267138Z digest=sha256:f5368ae5172a405d794e69140d0c495b5ec8f5bb23f44ecf9e134d4379827777

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.269397Z digest=sha256:a4e0a09c287fb79861584a59a82d165f5a9c2e7d0c819d90eda187d1a61cdec9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.271907Z digest=sha256:876a4662b4e0d6300e3c1e6a01dfe3d07b5161a20ec4d020e88a55db6158b7c2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.274283Z digest=sha256:6c61a0aac4b71c15dfd87dc7b0927f3b221b440c7213cdf9b5f060218fe9b4bb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.277017Z digest=sha256:ed5a1ede50639cf7edb4451a5ebbb6697baf56bb65dfc7a51d84140dbe8502fc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.279636Z digest=sha256:ac3cfd9174610c6eaba01239fde9b5d0c1da28e259f202151e1ea5a2ed3a50a3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.282013Z digest=sha256:28042bcddc9b02c5a3c1ac1aca07d29d934ac2e7792e08bb249e182bc3b40546

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.284345Z digest=sha256:ee6113a9edd3c5d639e2d9e0473f02f0c9f56dc2658bcd4df3a5aad931f78e04

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.286744Z digest=sha256:c6b2cf5ea007da9d6db371d4240bafba5e0267176621d1dcd2eef3d645d337bf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.289497Z digest=sha256:bee716ee53f67978e02d3a6a838186b43f1af2706cd6dd8abd20a6d695dcc4fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.291909Z digest=sha256:ec7e575977aed3dddc471239bb67d1c7d24f22088f08eca271513dc8d999002b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.294285Z digest=sha256:0fad397d719ed06db52f04b23b9f09ccba7dc796805cf0112dbbd397d20bccad

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.296702Z digest=sha256:d9f3c464da2a0084c22975dcabc4ac912793be8e78ad4d7b7de8785b5c7cd793

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.299564Z digest=sha256:4ff5060d91f99fe8fdeb9cbc0f96cbe552455e21718a0ff0f798617a301b2db1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.302044Z digest=sha256:a5bba0fe4653f1fb03e57317e344aae9e09a39da06f5472c75ceaa38f0837467

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.304575Z digest=sha256:356418a27b359a039cbd9482199934e12be2c8f03331d1aee7a8b073b67b295e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.307051Z digest=sha256:5aa2887cfa51688d021464c2568fbdfcde9d5e6572788ba96d9e0a9a403cbcf9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.309529Z digest=sha256:7c4ac26294bc6a1962fa2b69ef333995a01614ba082241ed8648ce82465426a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.311969Z digest=sha256:ee9c14b85f3659b854f929c848b3db2c28503ba7b65a1f4e2965cb33ad3fd005

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.314390Z digest=sha256:441ff715bd580064575169feb2ae0dfb9eb0625a4e22b541469d2cfd7806c693

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.316617Z digest=sha256:df94d192fb0a4f8768a65c1c0269c9f8e506f8ba89c726766861f884a9c7cb6a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:27:23.319123Z digest=sha256:87b28a7cf190be0e9ee23d2bb94e2ff3f0362709086f9e5b886ebd4564cfa305

Pith citing papers

No inbound Pith citation observations are available.