Paper Citation Record · LEDGER

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2605.14761.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.14761 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:49:22.870179Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

32 of 32 outbound references displayed

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verified fuzzy28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 397488d5-1a99-47ef-b6ab-4254c963df41 · outbound

This paper cites Harnessing the Power of LLMs for Image Aesthetics Assessment Through Semantic and Contextual Understanding,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Harnessing the Power of LLMs for Image Aesthetics Assessment Through Semantic and Contextual Understanding,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.929553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70a0cb0e-8975-47b0-8b74-f5ee1a472f21 · outbound

This paper cites Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Quantitative Analysis of Training Methods, Data Size, and User-Specific Effectiveness in DL-Based Personalized Aesthetic Evaluation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.935133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70d89ddf-7ee5-4768-88b2-12c154151127 · outbound

This paper cites Claude 3.7 Sonnet and Claude Code,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Claude 3.7 Sonnet and Claude Code,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.918217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bed36755-458c-413e-a3e9-5ca318a75145 · outbound

This paper cites Introducing Claude Sonnet 4.5,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Introducing Claude Sonnet 4.5,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.887275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4901069a-4744-4948-908e-b711acee82ea · outbound

This paper cites Personalized image quality assessment with social-sensed aesthetic preference,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personalized image quality assessment with social-sensed aesthetic preference,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.866938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62209611-e0e4-4bc0-bb1c-fddc0c11f905 · outbound

This paper cites Image aesthetic assessment: An experimental survey,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Image aesthetic assessment: An experimental survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.907803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df3a7651-fb51-422c-86eb-592bbf4141e2 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Mul- timodality, Long Context, and Next Generation Agentic Capabilities.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Mul- timodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.883548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7cc4052f-48b7-4453-9969-3292c3f9d6a8 · outbound

This paper cites Deep Residual Learning for Image Recognition.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Deep Residual Learning for Image Recognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:55:04.328406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9173b753-99df-4d52-8592-843240465b75 · outbound

This paper cites Rethinking image aesthetics assessment: Models, datasets and benchmarks.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Rethinking image aesthetics assessment: Models, datasets and benchmarks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.892004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e38657d5-b4b6-4344-98e7-b217a4533f0d · outbound

This paper cites Defining computational aesthetics,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Defining computational aesthetics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.902507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a691239-0f64-439a-a612-0aae57f23337 · outbound

This paper cites Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.873510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e9cdc75-3a88-48b9-8c45-b31016f8fb85 · outbound

This paper cites VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.842989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9fd385a-9f4a-4546-990b-48fcf3f2d346 · outbound

This paper cites Photo aesthetics ranking network with attributes and content adaptation,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Photo aesthetics ranking network with attributes and content adaptation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.840428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e29fdb2d-aa06-4666-8e21-d763db56f76f · outbound

This paper cites Personality-assisted multi-task learning for generic and personalized image aesthetics assessment,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personality-assisted multi-task learning for generic and personalized image aesthetics assessment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.846859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f92c76e-f162-420e-b40a-a3a0019f85de · outbound

This paper cites The next chapter of the Gemini era for developers,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction The next chapter of the Gemini era for developers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.855771Z

Source-reported events for the cited work

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Observation d767009b-c248-4941-b3a3-d6dabc94822c · outbound

This paper cites Artificial aesthetics,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Artificial aesthetics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.849569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e24ad55c-ee68-4880-a341-2dc8b32d7349 · outbound

This paper cites A V A: A large-scale database for aesthetic visual analysis,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction A V A: A large-scale database for aesthetic visual analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.878729Z

Source-reported events for the cited work

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Observation 62d5d503-635d-4efc-8334-b2fbc292f639 · outbound

This paper cites Hello GPT-4o,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Hello GPT-4o,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.922809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9870966-8352-4b1d-813a-9e2d4ae4fb45 · outbound

This paper cites Introducing GPT-5,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Introducing GPT-5,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.897556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f7e91be-eb89-4d00-8875-b33a39b6a7af · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:55:04.325351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 489fe928-0b89-4460-ae27-91c8d3745dc0 · outbound

This paper cites Personalized image aesthetic quality assessment by joint regression and ranking,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personalized image aesthetic quality assessment by joint regression and ranking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.830243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9df5ad0b-b93c-4ba3-9f3e-e7167cab45b7 · outbound

This paper cites Aesthetic primitives of images for visualization,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Aesthetic primitives of images for visualization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.833477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7318f208-dd06-42f8-83f0-882849fa3b2b · outbound

This paper cites Learning transferable visual models from natural language supervision,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Learning transferable visual models from natural language supervision,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.861213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17707b73-b7d4-46ec-84c7-a7eb8f83b167 · outbound

This paper cites Discover-then-name: Task-agnostic concept bottlenecks via automated concept discovery,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Discover-then-name: Task-agnostic concept bottlenecks via automated concept discovery,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.853115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1088ae2-f1a1-481f-8581-60f2d19a4cb7 · outbound

This paper cites Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience?.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience?

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.939385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b2253e2-f527-42bb-9a6d-d45e4bdfe75f · outbound

This paper cites Personalized image aesthetics,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personalized image aesthetics,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.913897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b561dec-c0be-40e7-ba0a-3a94cf3584f3 · outbound

This paper cites Valenzise, C.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Valenzise, C

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.836082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2bea2eeb-6630-464a-a250-8f884a45dfa2 · outbound

This paper cites Understanding aesthetics with language: A photo critique dataset for aesthetic assessment,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Understanding aesthetics with language: A photo critique dataset for aesthetic assessment,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.948138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2f9600c-64bb-4268-bb03-8afa40b24546 · outbound

This paper cites Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:55:04.322124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 226715a7-33d7-4f0d-aab0-6d1baa90a59f · outbound

This paper cites Personalized image aesthetics assessment with rich attributes,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personalized image aesthetics assessment with rich attributes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.943845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cdc1f7a-3798-43db-874f-11388aa41910 · outbound

This paper cites User experience with llm-powered conversational recommendation systems: A case of music recommendation,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction User experience with llm-powered conversational recommendation systems: A case of music recommendation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T19:04:02.953242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b189ec1-f46a-4c27-851f-18f7baaac477 · outbound

This paper cites Personalized image aesthetics assessment via meta-learning with bilevel gradient optimization,.

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction Personalized image aesthetics assessment via meta-learning with bilevel gradient optimization,

Reference 32

Resolution: malformed identifier; raw_fallback, observed 2026-07-07T19:04:02.958913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.