Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T13:17:11.362573Z
Paper Citation Record · LEDGER
Benchmarking the Personalization Capabilities of Large Language Models
As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.20471.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved57
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8cfa92e6-85bf-449c-9728-b90ed636a02d · outbound
This paper cites 2025 , eprint=.
Benchmarking the Personalization Capabilities of Large Language Models 2025 , eprint=
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.173986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00e3b28b-b348-4c2f-b205-bfe2c342000a · outbound
This paper cites 2011 , publisher=.
Benchmarking the Personalization Capabilities of Large Language Models 2011 , publisher=
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.237343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fbdf8fd-0202-4ff0-ba90-eb6821e8750d · outbound
This paper cites 1953 , publisher=.
Benchmarking the Personalization Capabilities of Large Language Models 1953 , publisher=
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.351268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7f2c513-4e80-42e5-858f-3368b55e0f0a · outbound
This paper cites 1990 , organization =.
Benchmarking the Personalization Capabilities of Large Language Models 1990 , organization =
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.424108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78126114-298e-46ce-832c-274004612e51 · outbound
This paper cites Toward a contextualized understanding of inside sales: the role of sales development in effective lead funnel management , volume =.
Benchmarking the Personalization Capabilities of Large Language Models Toward a contextualized understanding of inside sales: the role of sales development in effective lead funnel management , volume =
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.480972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3a5dbb2-5b8d-463e-af1c-65c3c8cf8e63 · outbound
This paper cites The communication of ideas , volume=.
Benchmarking the Personalization Capabilities of Large Language Models The communication of ideas , volume=
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.541081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baa0bea5-3c77-4fd5-8b52-b44491427348 · outbound
This paper cites Annual Review of Psychology , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Annual Review of Psychology , volume=
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.715563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c20d6bb5-2f87-425d-ba93-e564dcc31f38 · outbound
This paper cites , address =.
Benchmarking the Personalization Capabilities of Large Language Models , address =
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.785606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 748fb4f2-204c-43fd-b252-581792eda4cf · outbound
This paper cites Recommender Systems Handbook , volume =.
Benchmarking the Personalization Capabilities of Large Language Models Recommender Systems Handbook , volume =
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:02.955933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ba7d2c2-43d1-48e7-a414-7fc1864180d7 · outbound
This paper cites Journal of marketing , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Journal of marketing , volume=
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.093822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 135e2439-4911-44d8-b745-795d3a3e652d · outbound
This paper cites Psychology & Marketing , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Psychology & Marketing , volume=
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.204833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf9c634e-da6c-4a58-9589-8cdd3f2d36b4 · outbound
This paper cites Online Display Advertising Markets: A Literature Review and Future Directions , volume =.
Benchmarking the Personalization Capabilities of Large Language Models Online Display Advertising Markets: A Literature Review and Future Directions , volume =
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.347892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28945a68-5edb-4845-aa9e-d94003fbefc0 · outbound
This paper cites Personalized Dialogue Generation with Persona-Adaptive Attention , volume =.
Benchmarking the Personalization Capabilities of Large Language Models Personalized Dialogue Generation with Persona-Adaptive Attention , volume =
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.441600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3758077c-c000-4028-8b30-cbb20d4fc03c · outbound
This paper cites Recommender systems handbook , pages=.
Benchmarking the Personalization Capabilities of Large Language Models Recommender systems handbook , pages=
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.553082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b68a94c-99c4-4166-8a13-e0c628ddb8de · outbound
This paper cites Artificial intelligence in marketing , pages=.
Benchmarking the Personalization Capabilities of Large Language Models Artificial intelligence in marketing , pages=
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.644933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03ce5ca4-86e2-4d55-93cf-ea9bfcdf03e6 · outbound
This paper cites Discover Sustainability , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Discover Sustainability , volume=
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.748232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22c93428-b740-40a0-abdc-b5691baa1900 · outbound
This paper cites International Journal of Artificial Intelligence in Education , pages=.
Benchmarking the Personalization Capabilities of Large Language Models International Journal of Artificial Intelligence in Education , pages=
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.895184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b1d2022-f174-4dbc-8235-5c03a84f4e8e · outbound
This paper cites arXiv preprint arXiv:2512.03373 , year=.
Benchmarking the Personalization Capabilities of Large Language Models arXiv preprint arXiv:2512.03373 , year=
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:03.997829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db820b7-f34a-4d9a-adfe-58e26bfbdf45 · outbound
This paper cites World Wide Web , volume=.
Benchmarking the Personalization Capabilities of Large Language Models World Wide Web , volume=
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:04.068317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f110fe67-b506-4ac2-baed-6711fa3d8cbe · outbound
This paper cites Nature Machine Intelligence , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Nature Machine Intelligence , volume=
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:04.207917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0062bf09-cc83-41c2-ab75-8e6dd73b8e30 · outbound
This paper cites American Economic Review , volume=.
Benchmarking the Personalization Capabilities of Large Language Models American Economic Review , volume=
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:04.356099Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60b4d486-c1a8-41a1-a365-03771f2f92ad · outbound
This paper cites GitHub Repository , howpublished =.
Benchmarking the Personalization Capabilities of Large Language Models GitHub Repository , howpublished =
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:04.527430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa770357-9125-4dbc-91ed-d5a00e194699 · outbound
This paper cites Qwen Technical Report.
Benchmarking the Personalization Capabilities of Large Language Models Qwen Technical Report
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:04.800739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebe98cbd-d7f6-4f65-b28b-d8b08cc1b545 · outbound
This paper cites Assisting in Writing W ikipedia-like Articles From Scratch with Large Language Models.
Benchmarking the Personalization Capabilities of Large Language Models Assisting in Writing W ikipedia-like Articles From Scratch with Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:05.004252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b523a8e-cd1d-43f1-968a-55f3675e9fcc · outbound
This paper cites and Peters, Heinrich and Harari, Gabriella and Cerf, M.
Benchmarking the Personalization Capabilities of Large Language Models and Peters, Heinrich and Harari, Gabriella and Cerf, M
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:05.364691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aac06ac3-d49a-4b66-8cdf-90d879ffbfc6 · outbound
This paper cites Recuperado el , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Recuperado el , volume=
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:05.479436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16a6a9e3-b3dc-47e0-b289-e9d7b860775e · outbound
This paper cites Scientific Reports , volume=.
Benchmarking the Personalization Capabilities of Large Language Models Scientific Reports , volume=
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:05.622133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29d239d-7157-437f-a878-cae804432262 · outbound
This paper cites When large language models meet personalization: perspectives of challenges and opportunities , volume=.
Benchmarking the Personalization Capabilities of Large Language Models When large language models meet personalization: perspectives of challenges and opportunities , volume=
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:05.718124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9f18820-4b95-40cb-8af1-5958b2d16686 · outbound
This paper cites an unresolved cited work.
Benchmarking the Personalization Capabilities of Large Language Models Unresolved cited work
Reference 31
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-02T13:17:05.862008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42c6baa4-18fe-4290-b2b3-fd695c41879c · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Benchmarking the Personalization Capabilities of Large Language Models Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:06.039938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63ded312-2a7c-48b5-9049-a2926036a099 · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.
Benchmarking the Personalization Capabilities of Large Language Models Findings of the Association for Computational Linguistics: ACL 2025 , pages=
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:06.867851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82b6a0d0-f337-4687-bc53-50fc54b39f1f · outbound
This paper cites 2024 , date =.
Benchmarking the Personalization Capabilities of Large Language Models 2024 , date =
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:07.072880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55766144-c7c2-458b-948a-a1082ab0ca1b · outbound
This paper cites 2025 , howpublished =.
Benchmarking the Personalization Capabilities of Large Language Models 2025 , howpublished =
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:07.282880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9abafcf-77bc-4b7b-aa4f-bed0765a8c78 · outbound
This paper cites an unresolved cited work.
Benchmarking the Personalization Capabilities of Large Language Models Unresolved cited work
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:07.818416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e97dc73-7cb9-4ae1-bb7a-3ede2fbbb2ed · outbound
This paper cites an unresolved cited work.
Benchmarking the Personalization Capabilities of Large Language Models Unresolved cited work
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:07.990050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3718f2a2-0ae9-4ec4-a253-397f85d0e42a · outbound
This paper cites Persobench: Benchmarking personalized response generation in large language models.
Benchmarking the Personalization Capabilities of Large Language Models Persobench: Benchmarking personalized response generation in large language models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:08.162569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6217d196-30ee-4c45-b7d8-b77bd6cf8419 · outbound
This paper cites Claude sonnet 4.6.
Benchmarking the Personalization Capabilities of Large Language Models Claude sonnet 4.6
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:08.293968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94e28fb5-a812-44f9-9ccc-cf7fd6fd3c68 · outbound
This paper cites Bright data serp api, 2026.
Benchmarking the Personalization Capabilities of Large Language Models Bright data serp api, 2026
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:08.437571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7305197-89ec-4fd4-843a-4fc5f8a7abcc · outbound
This paper cites When large language models meet personalization: Perspectives of challenges and opportunities.
Benchmarking the Personalization Capabilities of Large Language Models When large language models meet personalization: Perspectives of challenges and opportunities
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:08.607120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 916d6e92-4e80-466f-8c3c-f083cfb7327b · outbound
This paper cites Online display advertising markets: A literature review and future directions.
Benchmarking the Personalization Capabilities of Large Language Models Online display advertising markets: A literature review and future directions
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:08.788035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb9693a7-0b5c-4794-b555-07da4e2721b7 · outbound
This paper cites Measuring the persuasiveness of language models, 2024.
Benchmarking the Personalization Capabilities of Large Language Models Measuring the persuasiveness of language models, 2024
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.016203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffcb66b-eb61-437a-bf62-0f470b30810e · outbound
This paper cites Hovland, I.L.
Benchmarking the Personalization Capabilities of Large Language Models Hovland, I.L
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.223699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82e45193-30be-4000-9024-8b06bf31ea5d · outbound
This paper cites Personamem-v2: Towards personalized intelligence via learning implicit user personas and agentic memory.
Benchmarking the Personalization Capabilities of Large Language Models Personamem-v2: Towards personalized intelligence via learning implicit user personas and agentic memory
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.421926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 463fbc9d-b102-471d-a329-48084d295654 · outbound
This paper cites Bayesian persuasion.
Benchmarking the Personalization Capabilities of Large Language Models Bayesian persuasion
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.554358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7a34b1f-25b7-482d-b02a-9927b4521423 · outbound
This paper cites Open deep research.
Benchmarking the Personalization Capabilities of Large Language Models Open deep research
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.684044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39d35ae4-f23a-47b8-9d7d-f6522e4f77b4 · outbound
This paper cites The structure and function of communication in society.
Benchmarking the Personalization Capabilities of Large Language Models The structure and function of communication in society
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.822133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a42867-3b8e-4f87-b3a1-afb6ee7d0ab8 · outbound
This paper cites A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.
Benchmarking the Personalization Capabilities of Large Language Models A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.892437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d066889-8be4-4195-8c33-8a53a6c1be2a · outbound
This paper cites Vaid, Heinrich Peters, Gabriella Harari, and M.
Benchmarking the Personalization Capabilities of Large Language Models Vaid, Heinrich Peters, Gabriella Harari, and M
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:09.982324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9642e141-34a1-4345-a8ae-5f435eec67dd · outbound
This paper cites GPT-4 Technical Report.
Benchmarking the Personalization Capabilities of Large Language Models GPT-4 Technical Report
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.072952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1479c7a-dbad-4b86-94fc-0513e1d4b6d1 · outbound
This paper cites Petty and John T.
Benchmarking the Personalization Capabilities of Large Language Models Petty and John T
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.167186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b248729-dfc4-43b7-a2c6-2bea768df217 · outbound
This paper cites Introduction to recommender systems handbook.
Benchmarking the Personalization Capabilities of Large Language Models Introduction to recommender systems handbook
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.226954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68e24bc9-51f5-402b-a31f-fc9eb6150756 · outbound
This paper cites Lamp: When large language models meet personalization.
Benchmarking the Personalization Capabilities of Large Language Models Lamp: When large language models meet personalization
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.281755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d608cf-0df5-45a8-a134-9408620b3bc7 · outbound
This paper cites Assisting in writing W ikipedia-like articles from scratch with large language models.
Benchmarking the Personalization Capabilities of Large Language Models Assisting in writing W ikipedia-like articles from scratch with large language models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.408634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b534f86a-9a2e-4b32-82e8-efd55aba5408 · outbound
This paper cites The role of large language models in personalized learning: a systematic review of educational impact.
Benchmarking the Personalization Capabilities of Large Language Models The role of large language models in personalized learning: a systematic review of educational impact
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.495864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94399c8b-7033-430f-923a-4bd487afa3b8 · outbound
This paper cites Generative ai in the classroom: effects of context-personalized learning material and tasks on motivation and performance.
Benchmarking the Personalization Capabilities of Large Language Models Generative ai in the classroom: effects of context-personalized learning material and tasks on motivation and performance
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:10.634387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d3fd1be-de71-4874-bc41-1a5cdc1b9e0b · outbound
This paper cites Toward a contextualized understanding of inside sales: the role of sales development in effective lead funnel management.
Benchmarking the Personalization Capabilities of Large Language Models Toward a contextualized understanding of inside sales: the role of sales development in effective lead funnel management
Reference 65
- Resolution
- verified exact
- doi, observed 2026-08-02T13:18:22.206278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7c7c37ad-bbf6-4557-8c67-a7cf229df309 · outbound
This paper cites Qwen2.5 Technical Report.
Benchmarking the Personalization Capabilities of Large Language Models Qwen2.5 Technical Report
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:11.018880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5adc424-366a-4000-a3db-d5470bd59fa6 · outbound
This paper cites an unresolved cited work.
Benchmarking the Personalization Capabilities of Large Language Models Unresolved cited work
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:11.186148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fbb63b1-36dc-47ee-a619-bf5fb577e908 · outbound
This paper cites Personalens: A benchmark for personalization evaluation in conversational ai assistants.
Benchmarking the Personalization Capabilities of Large Language Models Personalens: A benchmark for personalization evaluation in conversational ai assistants
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:17:11.362573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.