Paper Citation Record · LEDGER

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2511.12449.

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

pith.paper-citation-record.v1
2511.12449 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:05:18.226948Z

measured 58 of 58 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:43:58.385814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:51.109495Z

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 44bc2dc4-c9f7-42ad-a251-f5b0a39ffd79 · outbound

This paper cites GPT-4 Technical Report.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding GPT-4 Technical Report

Reference 1

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Observation ecf46e18-1751-4409-8ac9-32b2f6b5b370 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.056733Z

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Observation f8a362f0-f42c-4e09-81f9-ff34f561065b · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.154011Z

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Observation c5af68f4-43e9-4efb-a582-b9ec21bd6692 · outbound

This paper cites Qwen2.5-VL Technical Report.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.204752Z

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Observation 1f656f4f-c477-4c25-bac1-1f816f1a2001 · outbound

This paper cites Product2vec: Leveraging representation learning to model consumer product choice in large assortments.NYU Stern School of Business, 2022.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Product2vec: Leveraging representation learning to model consumer product choice in large assortments.NYU Stern School of Business, 2022

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.266357Z

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Observation 8b19d077-880a-4caa-b7d2-4a9a4d3efd52 · outbound

This paper cites On scaling up a multilingual vision and language model.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding On scaling up a multilingual vision and language model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.288369Z

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Observation 48231c95-b661-424c-8608-901e2d6745b0 · outbound

This paper cites Contrastive language and vi- sion learning of general fashion concepts.Scientific Reports, 12(1):18958, 2022.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Contrastive language and vi- sion learning of general fashion concepts.Scientific Reports, 12(1):18958, 2022

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.348036Z

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Observation ab5b734d-329b-41ab-a5c8-c81e43452649 · outbound

This paper cites Unified generative and discriminative training for multi-modal large language models.Advances in Neural Information Processing Systems, 37:23155–23190, 2024.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Unified generative and discriminative training for multi-modal large language models.Advances in Neural Information Processing Systems, 37:23155–23190, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.398261Z

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Observation a2e06d79-121f-497d-85f3-a5de17b9f4af · outbound

This paper cites Uniembedding: Learning universal multi- modal multi-domain item embeddings via user-view con- trastive learning.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Uniembedding: Learning universal multi- modal multi-domain item embeddings via user-view con- trastive learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.455903Z

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Observation 2cc89181-cee1-48ac-bbc6-6155603e95a5 · outbound

This paper cites M5product: Self- harmonized contrastive learning for e-commercial multi- modal pretraining.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding M5product: Self- harmonized contrastive learning for e-commercial multi- modal pretraining

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.510395Z

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Observation 0e3a5b04-9f49-45ee-bdea-59a3d82b2ffb · outbound

This paper cites Pmr: Prototypical modal rebalance for multi- modal learning.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Pmr: Prototypical modal rebalance for multi- modal learning

Reference 11

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Observation b2df3855-9b10-49ff-80cc-28944bb1ef05 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.Journal of Machine Learning Re- search, 23(120):1–39, 2022.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.Journal of Machine Learning Re- search, 23(120):1–39, 2022

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.614901Z

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Observation 7f30d795-c27b-44a5-baec-85091d690d87 · outbound

This paper cites Moon embedding: Multi- modal representation learning for e-commerce search adver- tising.arXiv preprint, 2025.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Moon embedding: Multi- modal representation learning for e-commerce search adver- tising.arXiv preprint, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.662400Z

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Observation 3b8160c3-82df-436c-855c-b751003d5745 · outbound

This paper cites Fashionbert: Text and im- age matching with adaptive loss for cross-modal retrieval.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Fashionbert: Text and im- age matching with adaptive loss for cross-modal retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.726776Z

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Observation 6b8a2bef-e14d-4263-a187-9d107f4b48ce · outbound

This paper cites CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.793078Z

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Observation 100c8f0d-78bb-4486-a9ac-1597c7aa4419 · outbound

This paper cites Multi-modal preference modeling for product search.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Multi-modal preference modeling for product search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.900812Z

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Observation 9ba20362-b828-4fd1-ac96-1bdd1b65a4d4 · outbound

This paper cites Au- tomatic spatially-aware fashion concept discovery.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Au- tomatic spatially-aware fashion concept discovery

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:15.957474Z

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Observation c5cb3b9d-b876-4e97-8835-fe5ee40a06bd · outbound

This paper cites Multimodal retrieval in e-commerce: From categories to images, text, and back.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Multimodal retrieval in e-commerce: From categories to images, text, and back

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.003909Z

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Observation 597fb384-51fc-483e-b694-c6d6a17b7ab6 · outbound

This paper cites A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.069327Z

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Observation 7e984a8a-c35f-4888-8ad0-9a22a6d073f1 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.127974Z

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Observation 0cd83f5e-0083-4b44-bc5f-ca5e5df421dc · outbound

This paper cites MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.206059Z

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Observation d027f8d6-f9fd-478e-a2dd-95eed8408139 · outbound

This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.260894Z

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Observation b93b2c5d-0f84-41cd-a39e-6c316e2a0e4f · outbound

This paper cites Learn- ing instance-level representation for large-scale multi-modal pretraining in e-commerce.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Learn- ing instance-level representation for large-scale multi-modal pretraining in e-commerce

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.371108Z

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Observation b54e816c-2572-4492-be4c-60f68ca312e9 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.428946Z

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Observation 370ec113-c91b-4d60-8a32-58d6043556f0 · outbound

This paper cites Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in neural infor- mation processing systems, 34:9694–9705, 2021.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in neural infor- mation processing systems, 34:9694–9705, 2021

Reference 25

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Observation 1584f7af-50de-4577-8626-11dc9d351081 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.507575Z

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Observation 1b1c03d3-f589-4ec0-bb3d-6273bafb12ee · outbound

This paper cites Embedding-based product retrieval in taobao search.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Embedding-based product retrieval in taobao search

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.583725Z

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Observation f627da08-5f6a-4fe3-a6f5-e657083d9352 · outbound

This paper cites Adversarial multimodal representation learning for click-through rate prediction.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Adversarial multimodal representation learning for click-through rate prediction

Reference 28

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Observation 82057d68-8acd-4b26-9bd2-626f502d8b5e · outbound

This paper cites UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:16.766061Z

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Observation 7602a1db-8b2f-45aa-be7e-5ab2a868d988 · outbound

This paper cites MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Reference 30

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Observation cebaba44-1bf5-4f9f-a63d-9180cc49d397 · outbound

This paper cites Captions speak louder than images (caslie): Generalizing foundation models for e-commerce from high-quality multimodal instruction data.arXiv preprint arXiv:2410.17337, 2024.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Captions speak louder than images (caslie): Generalizing foundation models for e-commerce from high-quality multimodal instruction data.arXiv preprint arXiv:2410.17337, 2024

Reference 31

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Observation 5fd4b171-9198-411f-9abc-867752dc8fe8 · outbound

This paper cites Ecom- mmmu: Strategic utilization of visuals for robust multimodal e-commerce models.arXiv preprint arXiv:2508.15721,.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Ecom- mmmu: Strategic utilization of visuals for robust multimodal e-commerce models.arXiv preprint arXiv:2508.15721,

Reference 32

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Observation 6f6c0ddf-bfd9-498e-8146-b02e12fe9759 · outbound

This paper cites Multimodal pretraining, adaptation, and generation for recommendation: A survey.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Multimodal pretraining, adaptation, and generation for recommendation: A survey

Reference 33

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Observation 6c659285-58e5-4c0f-bd44-97286fb1efc8 · outbound

This paper cites Multimodal pre-training with self-distillation for prod- uct understanding in e-commerce.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Multimodal pre-training with self-distillation for prod- uct understanding in e-commerce

Reference 34

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Observation 092d6bf8-e64c-4167-b24b-df1e758f4588 · outbound

This paper cites Pretraining representations of multi-modal multi-query e- commerce search.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Pretraining representations of multi-modal multi-query e- commerce search

Reference 35

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Observation a0cc48cb-4809-45c5-8421-98b3c28d9174 · outbound

This paper cites ecellm: generalizing large language models for e-commerce from large-scale, high-quality instruction data.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding ecellm: generalizing large language models for e-commerce from large-scale, high-quality instruction data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:17.246464Z

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Observation 6c17d940-6d1b-465d-abe1-d63651156f28 · outbound

This paper cites Kosmos-2: Grounding multimodal large language models to the world, 2023.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Kosmos-2: Grounding multimodal large language models to the world, 2023

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Observation c0dd4b5c-2a5b-44be-9250-1484fa1c70d9 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Learning transferable visual models from natural language supervi- sion

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Observation 4b31a3c2-e34e-48a4-a4c8-8e53567e7035 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:17.334918Z

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Observation 139151d2-f2fc-41fd-a3dd-4b7533ffda38 · outbound

This paper cites LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

Reference 40

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Observation 9eefee5f-073d-4ef6-9d68-809e37c640e2 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Gemini: A Family of Highly Capable Multimodal Models

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Observation 13a1aea9-9593-44e1-a1a3-311ef52a1b7c · outbound

This paper cites Merlin: Multimodal & multilingual embed- ding for recommendations at large-scale via item associa- tions.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Merlin: Multimodal & multilingual embed- ding for recommendations at large-scale via item associa- tions

Reference 42

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This paper cites Stablerep: Synthetic images from text-to- image models make strong visual representation learners.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Stablerep: Synthetic images from text-to- image models make strong visual representation learners

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This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 44

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Observation 81ce17bc-44ed-4f45-b5d7-b2e1d008edf1 · outbound

This paper cites Missrec: Pre-training and transfer- ring multi-modal interest-aware sequence representation for recommendation.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Missrec: Pre-training and transfer- ring multi-modal interest-aware sequence representation for recommendation

Reference 45

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Observation bcf5f517-de33-482c-8f61-c9b19fbf1b32 · outbound

This paper cites MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling

Reference 46

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Observation 8bfecc26-a443-40af-a4df-ed6dadb46e5c · outbound

This paper cites Commercemm: Large-scale commerce multimodal representation learning with omni retrieval.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Commercemm: Large-scale commerce multimodal representation learning with omni retrieval

Reference 47

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Observation cdfc8ab6-21f0-4117-b4f9-373cb95d0849 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Florence: A New Foundation Model for Computer Vision

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Observation 6f62f263-7380-4be1-a86e-d376852e06ae · outbound

This paper cites Prod- uct1m: Towards weakly supervised instance-level product retrieval via cross-modal pretraining.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Prod- uct1m: Towards weakly supervised instance-level product retrieval via cross-modal pretraining

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:17.923111Z

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Observation cd6e71e7-b856-4e49-81ac-dbf3da804f14 · outbound

This paper cites Moon: Generative mllm-based multimodal representation learning for e-commerce product understand- ing.arXiv preprint arXiv:2508.11999, 2025.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Moon: Generative mllm-based multimodal representation learning for e-commerce product understand- ing.arXiv preprint arXiv:2508.11999, 2025

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:17.974836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a63e761-c31d-4440-b1cb-7340d8fe431b · outbound

This paper cites Sharper and faster mean better: Towards more efficient vision-language model for hour-scale long video understand- ing.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Sharper and faster mean better: Towards more efficient vision-language model for hour-scale long video understand- ing

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.024821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600e39cd-c0b4-4bc7-97ce-9207fe377fb6 · outbound

This paper cites Modality-balanced learning for multimedia recom- mendation.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Modality-balanced learning for multimedia recom- mendation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.033214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8594a87-65de-468d-9c12-c0cb0cf06889 · outbound

This paper cites GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.066051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad18658-13fe-448e-a68c-a2c41118e8fc · outbound

This paper cites Delving into e-commerce product retrieval with vision-language pre-training.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding Delving into e-commerce product retrieval with vision-language pre-training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.114220Z

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Observation 2590b86f-d365-48bd-8cb7-0945ba9214fc · outbound

This paper cites MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.174178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf9fca9-6c78-4a1a-b3fd-fac642c385ca · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T22:05:18.226948Z

Source-reported events for the cited work

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Pith citing papers

Observation 31f70ad7-a02e-432e-b384-4c3dba80927f · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:08:53.304372Z

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 c896babc-7ec7-4c54-b0cf-9fd7798cfd10 · inbound

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:08:53.304372Z

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.