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Paper Citation Record · LEDGER

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.15752.

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

pith.paper-citation-record.v1
2607.15752 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:28:28.954807Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

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This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 1

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Observation 094184d5-cd44-4775-a970-1fff0457311c · outbound

This paper cites Qwen Technical Report.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Qwen Technical Report

Reference 2

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This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 6

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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This paper cites AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Large Language Models Understand and Can be Enhanced by Emotional Stimuli

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Deep Model Fusion: A Survey

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Parameter Efficient Multi-task Model Fusion with Partial Linearization

Reference 35

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 37

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 39

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Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 40

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Observation 3fbdd37c-30fc-4481-b2a2-91807144bcd6 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 41

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Observation 46af2925-c8f9-4e85-ac92-911d06b7c90f · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 42

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Observation 3928aec5-6258-4c25-94a6-b72cc6314783 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-01T22:28:26.844754Z digest=sha256:8a9cafc27f514e3a4cd00d09767f8b15b9c47e89eebc1b24d20e01a312f5a81e

Observation 81cc7932-d81b-437e-a161-45d1415b8c0c · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 44

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Observation 95fb8b7e-bac0-420b-9c21-1076d104f810 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 45

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Observation 4850f622-8477-4a4d-ac70-b4112fe805ed · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 46

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Observation 8e5bf417-d69c-4b0e-a0cf-0a0294651241 · outbound

This paper cites Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Language-Guided Visual Perception Disentanglement for Image Quality Assessment and Conditional Image Generation

Reference 47

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Observation 5a4346aa-b7ab-4f19-b31d-66aae9de6fd2 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-01T22:28:27.634758Z digest=sha256:0c36bfe34c802a03d252c407e62653f5d82fba3754d3b40b2b3a16113bb16849

Observation c09dff0d-99e6-4ff5-9f97-13780e912f37 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-01T22:28:27.434751Z digest=sha256:a073cee632c1c0c9e2d0ecf5eaf50bde9b57b80f95cbbafacd7de48321369059

Observation 4b1d9cc7-3b82-4c1c-8637-bccc5f2dcb28 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 50

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Observation bc76b9e9-cced-499d-bb27-ab9ddf8ac516 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T22:28:27.914745Z digest=sha256:1186d676ffe0bd95fdae6604ae57af743f54f4e6b8207d4ddd1120843fc1b480

Observation 63c0494a-0116-4a38-89ba-c8cdfbb40d7b · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-01T22:28:27.744753Z digest=sha256:f6b0cad7da8c58d5a909db0a1edd63fd9f35368416d13634833536a2a518582b

Observation 194918f0-d35b-4f26-9e73-6866338f75bf · outbound

This paper cites Personalized LLM Response Generation with Parameterized Memory Injection.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Personalized LLM Response Generation with Parameterized Memory Injection

Reference 53

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source=pdf_text observed=2026-08-01T22:28:28.334745Z digest=sha256:44f89aa0009938eedc15a42e9bcbab010e594f0b89aeb9e178efbabd8bb6116b

Observation d03ad9ea-19ff-4481-90d3-3b5c85992101 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T22:28:28.504744Z digest=sha256:fad62f50265c0f8a12bcf1c250d766fabc1f8ca99e3f693a6c7afd8c0eb244af

Observation 14afaeb2-76c8-42af-a97a-9c411028ad9d · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-01T22:28:28.188543Z digest=sha256:fd88cca948661747bc4db3d93e7a753163c845f51152b8404ce00fad8fff8832

Observation 9dfb1f98-5be0-45f0-8059-9e5788699a8e · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-01T22:28:28.795376Z digest=sha256:3e68d515fd733088002bd4a33a7e12ff0875c687a6b1ae4f9d1c530cf64569a0

Observation b4d1d3d0-6f86-4c64-8bfa-fed352deda2c · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-01T22:28:28.860830Z digest=sha256:cc63fb6beed72cf8a9cc76d5a8d957940cd5dad0045929badd49a98b7a539b81

Observation 1121e700-e4d7-4393-aac8-338ecff015ff · outbound

This paper cites Personalization of Large Language Models: A Survey.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Personalization of Large Language Models: A Survey

Reference 58

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source=pdf_text observed=2026-08-01T22:28:28.595738Z digest=sha256:7cbc9d1e0d4d21d6b57f3a6c9640fb753e1afdf4ed1f367c124a683219b235d4

Observation 5d4deb4e-bd8c-48a6-9ff8-47e3743a3f57 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-01T22:28:28.954807Z digest=sha256:bf94c50f3e8f656737ada59e78e708a7e587aaba116942429f21c343cd7ddb94

Observation 55eeb226-db00-4971-b8ca-02e177e4099c · outbound

This paper cites Advances in Neural Information Processing Systems37 (2024), 78905–78935.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Advances in Neural Information Processing Systems37 (2024), 78905–78935

Reference 2024

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source=pdf_text observed=2026-08-01T22:28:24.906917Z digest=sha256:21da8700a9f6efaa79e9a7abdefb1860f24ebba095158dd6dedcb2997956628b

Observation 9ce15ab5-0d80-40bb-b08e-5908bcc99874 · outbound

This paper cites an unresolved cited work.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Unresolved cited work

Reference 3910

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source=pdf_text observed=2026-08-01T22:28:24.244746Z digest=sha256:8121cc4333f8935c687281a70424396409dcc84e9f16dad14b032c1f904a305b

Pith citing papers

No inbound Pith citation observations are available.