Paper Citation Record · LEDGER

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2604.17233.

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

pith.paper-citation-record.v1
2604.17233 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T20:55:04.320441Z

Reference resolution

41 of 41 outbound references displayed

verified exact5
verified fuzzy27
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External citation measurements

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Outbound references

Observation d4a95ea6-32b1-4e29-97a6-d35833ca0f65 · outbound

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

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T06:56:47.672656Z

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Observation 157d272d-443a-4ef5-84bc-ba09e077269b · outbound

This paper cites an unresolved cited work.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 2

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Observation b0a40d04-7143-4015-91a1-6f2888fae4a2 · outbound

This paper cites Rate the aesthetics of this <image>image</image>based on the persona you are embodying.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Rate the aesthetics of this <image>image</image>based on the persona you are embodying

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.079090Z

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Observation 8a7958eb-6edc-4e84-8909-ef9d391d6413 · outbound

This paper cites Datasets We evaluate P-MLLM on two recent PIAA datasets, PARA.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Datasets We evaluate P-MLLM on two recent PIAA datasets, PARA

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.084303Z

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Observation 737762d7-157d-40e0-8171-cbce9e2780de · outbound

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 5

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Observation 5c316a89-a6a8-44eb-a665-d4b3c1a88bdc · outbound

This paper cites We follow the evaluation protocol of PARA [1], with mi- nor modifications to the data construction.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM We follow the evaluation protocol of PARA [1], with mi- nor modifications to the data construction

Reference 6

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Observation 7c7b63c8-ad93-4401-b145-82a5880243cb · outbound

This paper cites an unresolved cited work.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 7

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Observation a0291f70-854d-4831-ba10-2f1ebeb4725e · outbound

This paper cites We introduce P-MLLM, a profile-aware multimodal LLM that leverages user profiles to guide its reasoning and controlled visual in- tegration for personalized prediction.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM We introduce P-MLLM, a profile-aware multimodal LLM that leverages user profiles to guide its reasoning and controlled visual in- tegration for personalized prediction

Reference 8

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Observation 6ccccbfb-2b05-44fd-aac9-4208e1d0acd5 · outbound

This paper cites Personalized image aesthetics as- sessment with rich attributes.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Personalized image aesthetics as- sessment with rich attributes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.101702Z

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Observation 50251215-c71e-4321-aa5a-c07e22a59140 · outbound

This paper cites Personalized image aesthetics.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Personalized image aesthetics

Reference 10

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Observation 1c88e19a-7dc6-4937-8713-dcc73b609aa5 · outbound

This paper cites A Survey of Personalized Large Language Models: Progress and Future Directions.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM A Survey of Personalized Large Language Models: Progress and Future Directions

Reference 11

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Observation 195da9da-1ef8-40d7-b573-39a0b2b29574 · outbound

This paper cites Meta-learning perspective for personalized image aesthetics assessment.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Meta-learning perspective for personalized image aesthetics assessment

Reference 12

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Observation f0adea66-3ab1-443e-a0bc-6b3f338b81e0 · outbound

This paper cites Personalized image aesthet- ics assessment via multi-attribute interactive reasoning.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Personalized image aesthet- ics assessment via multi-attribute interactive reasoning

Reference 13

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Observation e5801fa7-35d9-43df-b3f1-2a8bdc254c5a · outbound

This paper cites Multi-level transitional contrast learning for personalized image aesthetics assessment.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Multi-level transitional contrast learning for personalized image aesthetics assessment

Reference 14

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Observation 9098d011-974e-43a8-81b2-391fd7b09dd0 · outbound

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

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Personality-assisted multi-task learning for generic and personalized image aesthetics assessment

Reference 15

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Observation 06f52c6d-cce6-403d-85d9-06b3809f2d7e · outbound

This paper cites Using large language models to simulate multiple hu- mans and replicate human subject studies.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Using large language models to simulate multiple hu- mans and replicate human subject studies

Reference 16

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Observation f5733ec4-7932-47e7-860f-4c0bce781034 · outbound

This paper cites LLMs + persona-plug = personal- ized LLMs.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM LLMs + persona-plug = personal- ized LLMs

Reference 17

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Observation 54c815b7-730c-45e7-9ffa-a8471264e2ba · outbound

This paper cites PAD: Personalized alignment at decoding-time.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM PAD: Personalized alignment at decoding-time

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.038676Z

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Observation c87b847b-1b99-4174-b8a0-199c8c7a6e7a · outbound

This paper cites Aesexpert: Towards multi-modality foundation model for image aesthetics perception.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Aesexpert: Towards multi-modality foundation model for image aesthetics perception

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.041818Z

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Observation c805b177-a24e-4a9b-acf4-727bb05fa971 · outbound

This paper cites Q-instruct: Improving low-level vi- sual abilities for multi-modality foundation models.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Q-instruct: Improving low-level vi- sual abilities for multi-modality foundation models

Reference 20

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Observation 9d1949be-336c-437e-a61a-f4018399dd95 · outbound

This paper cites Uncovering personality traits via multimodal llm for personalized image emotion analysis.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Uncovering personality traits via multimodal llm for personalized image emotion analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.056621Z

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Observation 854f6d07-54bf-40e0-8dd9-602cb196284b · outbound

This paper cites Vl- adapter: Parameter-efficient transfer learning for vision- and-language tasks.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Vl- adapter: Parameter-efficient transfer learning for vision- and-language tasks

Reference 22

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Observation c5d02bf3-a8ef-4d3b-b211-2b83a075ffe5 · outbound

This paper cites LLaMA-adapter: Efficient fine-tuning of large lan- guage models with zero-initialized attention.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM LLaMA-adapter: Efficient fine-tuning of large lan- guage models with zero-initialized attention

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.032168Z

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Observation 2267a1e1-d7b5-4006-a9d6-f6152df4644f · outbound

This paper cites Memory-space visual prompting for efficient vision-language fine-tuning.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Memory-space visual prompting for efficient vision-language fine-tuning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.024015Z

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Observation df32fc51-c101-43ad-a9bb-8f2e98956aac · outbound

This paper cites Flamingo: a visual lan- guage model for few-shot learning.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Flamingo: a visual lan- guage model for few-shot learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.017605Z

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Observation acf6ab0e-514a-480e-acea-b23cbe0c1708 · outbound

This paper cites Gip: Gated interaction prompt for parame- ter efficient vision-language fine-tuning.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Gip: Gated interaction prompt for parame- ter efficient vision-language fine-tuning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.020966Z

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Observation 0132b74f-2b88-49e8-b774-079a917c7129 · outbound

This paper cites Cheap and quick: Efficient vision- language instruction tuning for large language models.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Cheap and quick: Efficient vision- language instruction tuning for large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.035475Z

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Observation 62241c50-3290-481e-a2cc-73f4e119df86 · outbound

This paper cites Gated attention for large lan- guage models: Non-linearity, sparsity, and attention- sink-free.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Gated attention for large lan- guage models: Non-linearity, sparsity, and attention- sink-free

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.012535Z

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Observation 3ba010dc-bb5a-496e-8269-87b317c8fac5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Qwen2.5-VL Technical Report

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-10T06:56:47.677005Z

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Observation 48a7715e-a4f6-4dd6-81f1-8942c8a864ac · outbound

This paper cites Lapis: A novel dataset for personalized image aesthetic assess- ment.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Lapis: A novel dataset for personalized image aesthetic assess- ment

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.076099Z

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Observation db1be0ff-db0d-4465-8037-164b756f8a8f · outbound

This paper cites Lmlpa: Language model linguis- tic personality assessment.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Lmlpa: Language model linguis- tic personality assessment

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.069282Z

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Observation f466099e-1fb3-4a33-a34b-8fa67da36662 · outbound

This paper cites The Llama 3 Herd of Models.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM The Llama 3 Herd of Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-10T06:56:47.679238Z

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Observation 84a035c3-6d94-42f3-ac31-1df70de2fde0 · outbound

This paper cites Learning transferable visual mod- els from natural language supervision.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Learning transferable visual mod- els from natural language supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.006744Z

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Observation 213e3e83-db7c-4786-ae32-4d1dbb033a6d · outbound

This paper cites GPT-4o System Card.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM GPT-4o System Card

Reference 34

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This paper cites The Oscars of AI Theater: A Survey on Role-Playing with Language Models.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM The Oscars of AI Theater: A Survey on Role-Playing with Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.681754Z

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This paper cites pyotr- konchalovsky roses-and-asparagus-1954.

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM pyotr- konchalovsky roses-and-asparagus-1954

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T15:05:17.009516Z

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Observation 8f2131ec-102e-446d-96ae-381368b7e1af · outbound

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 41

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 43

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM Unresolved cited work

Reference 44

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Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM # Role Profile

Reference 45

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Pith citing papers

Observation d4a95ea6-32b1-4e29-97a6-d35833ca0f65 · inbound