Paper Citation Record · LEDGER

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

As of 18 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 8 inbound Pith citation observations for arXiv:2502.15711.

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

pith.paper-citation-record.v1
2502.15711 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:49:06.439562Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:34.084440Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:36.125811Z

Reference resolution

91 of 91 outbound references displayed

verified exact2
verified fuzzy45
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f247841d-5590-4015-9ec0-f3aba783d189 · outbound

This paper cites Content-driven Music Recommendation: Evolution, State of the Art, and Challenges.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Content-driven Music Recommendation: Evolution, State of the Art, and Challenges

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad37f613-3bf2-4311-a55c-e07c6471f299 · outbound

This paper cites A Review of Modern Fashion Recommender Systems.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A Review of Modern Fashion Recommender Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:49:06.622145Z

Source-reported events for the cited work

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Observation 31b129d2-17e8-407c-a4e6-074bc587029f · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.135356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284668d7-7c64-4e5f-ba7a-c00ad39e3d97 · outbound

This paper cites Aligngroup: Learning and aligning group consensus with member preferences for group recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Aligngroup: Learning and aligning group consensus with member preferences for group recommendation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.139630Z

Source-reported events for the cited work

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Observation 5dbfcebb-71fe-4569-bf7d-abf6b247bbd7 · outbound

This paper cites Multimodal Recommender Systems: A Survey.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multimodal Recommender Systems: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.143270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc4a3cd6-bbb4-4a60-bc30-c70d560d6bcc · outbound

This paper cites Deep learning based recom- mender system: A survey and new perspectives,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Deep learning based recom- mender system: A survey and new perspectives,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.147720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10b11db-ed09-44a1-843b-ca1280191279 · outbound

This paper cites A survey on knowledge graph-based recommender systems,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A survey on knowledge graph-based recommender systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.151618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11886768-502b-4737-bba1-b1d1e7de8c87 · outbound

This paper cites Recommender sys- tems leveraging multimedia content,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Recommender sys- tems leveraging multimedia content,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.155577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a836a0d-fd46-4e86-bed3-cb3bfeb1e32e · outbound

This paper cites A survey on conversa- tional recommender systems,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A survey on conversa- tional recommender systems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.159316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4f934a-d765-4b77-8445-0da29a8647fe · outbound

This paper cites Graph neural networks in recommender systems: a survey,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Graph neural networks in recommender systems: a survey,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.163080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19dd3ab6-97dd-40ba-ab47-781f37e9a4af · outbound

This paper cites A survey of personalized news recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A survey of personalized news recommendation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.166921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfa2bed-bb4b-445f-8785-9c70ee4c2bb1 · outbound

This paper cites A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.170376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc263e2b-c43a-425b-be6c-6f706e88a2f7 · outbound

This paper cites Mmgcn: Multi-modal graph convolution network for personalized recommenda- tion of micro-video,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Mmgcn: Multi-modal graph convolution network for personalized recommenda- tion of micro-video,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.173919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbdd37a4-b065-4783-b2bf-720dcc9f0225 · outbound

This paper cites Dualgnn: Dual graph neural network for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Dualgnn: Dual graph neural network for multimedia recommendation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.177190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96268d66-4499-4011-8a83-ab7a14216916 · outbound

This paper cites Mining latent structures for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Mining latent structures for multimedia recommendation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.180406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fdfad6e-337a-471c-90b0-670e58dc97c1 · outbound

This paper cites Deep residual learning for image recognition,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Deep residual learning for image recognition,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.183418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b467c57-4033-4510-8b34-4582b78cadf6 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.186601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fabd509-8aa9-42c6-9c01-1b14718fa110 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.189811Z

Source-reported events for the cited work

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Observation 7ad6a041-c1dd-4cd1-9b28-811ba3c3ac4b · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.193330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605b5916-fc04-4dfb-bd39-2e2a3576ccff · outbound

This paper cites Long short-term memory,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Long short-term memory,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.196974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6852f52c-7750-4081-a665-66997aede1d2 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.200189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ce4c18-cb75-44ad-a290-33a714f936b6 · outbound

This paper cites Probabilistic matrix factorization,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Probabilistic matrix factorization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.317703Z

Source-reported events for the cited work

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Observation 70b9ad03-6a2d-4289-9900-a4bc256b949c · outbound

This paper cites Simplifying graph convolutional networks,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Simplifying graph convolutional networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.206825Z

Source-reported events for the cited work

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Observation 6406e093-304e-4cad-a08f-51c3e1d7e58e · outbound

This paper cites Self-supervised learning: Generative or contrastive,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Self-supervised learning: Generative or contrastive,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.210115Z

Source-reported events for the cited work

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Observation 54d86267-2157-4a02-a646-3ea8be00cb09 · outbound

This paper cites Subjective mse measures,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Subjective mse measures,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.297393Z

Source-reported events for the cited work

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Observation d1f25cdb-0cb1-4708-9401-bc738a2e1e2b · outbound

This paper cites Deep learning,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Deep learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.216888Z

Source-reported events for the cited work

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Observation 5f3dea89-11b6-497f-9e49-b38efe53760b · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.220568Z

Source-reported events for the cited work

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Observation d98f2de9-7b29-40ca-8e23-4aa6dab53cbb · outbound

This paper cites Support-vector networks,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Support-vector networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.224268Z

Source-reported events for the cited work

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Observation 0d743440-3c22-4143-a424-39777ee94ea5 · outbound

This paper cites Vbpr: visual bayesian personalized ranking from implicit feedback,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Vbpr: visual bayesian personalized ranking from implicit feedback,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.276584Z

Source-reported events for the cited work

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Observation 2bc72bfd-af29-44e1-b57e-31554a919356 · outbound

This paper cites Do” also-viewed.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Do” also-viewed

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.267313Z

Source-reported events for the cited work

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Observation 1d793610-3cbc-46a7-bed1-fd1425427dac · outbound

This paper cites Atten- tive collaborative filtering: Multimedia recommendation with item-and component-level attention,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Atten- tive collaborative filtering: Multimedia recommendation with item-and component-level attention,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.259334Z

Source-reported events for the cited work

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Observation 715b9dc2-9705-4343-bf04-92211d770d8c · outbound

This paper cites Joint representation learning for top-n recommendation with heterogeneous information sources,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Joint representation learning for top-n recommendation with heterogeneous information sources,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.251122Z

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Observation 0e480834-e05f-43d5-8ea4-46e9e263678a · outbound

This paper cites Visually-aware fashion recommendation and design with generative image models,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Visually-aware fashion recommendation and design with generative image models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.242982Z

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Observation 5c8a0153-92ed-462d-a352-3ec4932e94bf · outbound

This paper cites Graphcar: Content-aware multimedia recommendation with graph autoencoder,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Graphcar: Content-aware multimedia recommendation with graph autoencoder,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.233921Z

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Observation dd354ed6-779d-4933-ad19-9fa52c323007 · outbound

This paper cites Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable rec- ommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable rec- ommendation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.224551Z

Source-reported events for the cited work

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Observation 67a5ba7f-768f-4f9f-b670-fabc5eb6992e · outbound

This paper cites User-video co-attention network for personalized micro-video recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions User-video co-attention network for personalized micro-video recommendation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.215016Z

Source-reported events for the cited work

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Observation a5de67cf-1742-4cee-b052-62c8cd80ba0d · outbound

This paper cites User diverse preference modeling by multimodal attentive metric learning,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions User diverse preference modeling by multimodal attentive metric learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.204536Z

Source-reported events for the cited work

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Observation ceef7768-5863-4d20-9de9-94bd11158e69 · outbound

This paper cites Adversarial training towards robust multimedia recommender system,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Adversarial training towards robust multimedia recommender system,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.195958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a401d499-f623-4854-9cb5-f12ca408ead8 · outbound

This paper cites Mgat: Multimodal graph attention network for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Mgat: Multimodal graph attention network for recommendation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.187400Z

Source-reported events for the cited work

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Observation b7482ea5-d922-4c00-ae59-9780e7120c72 · outbound

This paper cites Graph-refined convolutional network for multimedia recommendation with implicit feedback,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Graph-refined convolutional network for multimedia recommendation with implicit feedback,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.179128Z

Source-reported events for the cited work

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Observation b57145f4-05d1-444a-a3b9-345ce6d30e52 · outbound

This paper cites Multi-modal knowledge graphs for recommender systems,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multi-modal knowledge graphs for recommender systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.169408Z

Source-reported events for the cited work

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Observation 6e6ecd43-9572-4fec-99f4-0064a3c93d8e · outbound

This paper cites Why do we click: visual impression-aware news recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Why do we click: visual impression-aware news recommendation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.159119Z

Source-reported events for the cited work

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Observation 800df986-ff21-455e-83bd-b24b1eae4ae0 · outbound

This paper cites Pre-training graph transformer with multimodal side information for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Pre-training graph transformer with multimodal side information for recommendation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.148849Z

Source-reported events for the cited work

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Observation 188cd429-d9f0-4f49-af79-422e1ab65973 · outbound

This paper cites Heterogeneous hierarchical feature aggregation network for personalized micro-video recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Heterogeneous hierarchical feature aggregation network for personalized micro-video recommendation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.139312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5fcc9823-dc07-447d-a291-c205a7808b58 · outbound

This paper cites Multi-modal variational graph auto-encoder for recommendation systems,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multi-modal variational graph auto-encoder for recommendation systems,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.130376Z

Source-reported events for the cited work

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Observation d92e1490-98d9-4960-b104-a4e9f91c94ae · outbound

This paper cites Modality matches modality: Pretraining modality-disentangled item representations for recommen- dation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Modality matches modality: Pretraining modality-disentangled item representations for recommen- dation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.121271Z

Source-reported events for the cited work

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Observation aa20d78e-7d64-4262-8224-8ff9fe5a68b8 · outbound

This paper cites Multi-modal graph contrastive learning for micro-video recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multi-modal graph contrastive learning for micro-video recommendation,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.288627Z

Source-reported events for the cited work

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Observation 51d757f7-8326-4ad5-948e-62dbea3f342e · outbound

This paper cites Aligning dual disentangled user repre- sentations from ratings and textual content,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Aligning dual disentangled user repre- sentations from ratings and textual content,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.106726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77b85a59-7b62-41bd-84c3-dfb42518181b · outbound

This paper cites Elimrec: Eliminating single-modal bias in multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Elimrec: Eliminating single-modal bias in multimedia recommendation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.096735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f12b515a-545f-47cb-87db-d0868daa4647 · outbound

This paper cites Breaking isolation: Multimodal graph fusion for multimedia recommendation by edge-wise modulation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Breaking isolation: Multimodal graph fusion for multimedia recommendation by edge-wise modulation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.086215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7289605-33bb-4d05-8714-718a64e5abdf · outbound

This paper cites Invariant representation learning for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Invariant representation learning for multimedia recommendation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.075112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca942351-d2e3-4b4e-b256-b27fe81a84a4 · outbound

This paper cites Adaptive anti-bottleneck multi-modal graph learning network for personalized micro-video rec- ommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Adaptive anti-bottleneck multi-modal graph learning network for personalized micro-video rec- ommendation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.064883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb405784-61a5-449b-8676-f36cb02b4f17 · outbound

This paper cites Learning hybrid behavior patterns for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Learning hybrid behavior patterns for multimedia recommendation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.055697Z

Source-reported events for the cited work

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Observation d93fb486-b202-4743-b564-07b1c3a95913 · outbound

This paper cites Self-supervised learning for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Self-supervised learning for multimedia recommendation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.046485Z

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Observation 7c80047c-4aaf-4576-8692-e9179fd9262e · outbound

This paper cites Disentangled multimodal representation learning for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Disentangled multimodal representation learning for recommendation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.037499Z

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Observation 35405e85-2127-404d-b40b-2c7e34a29518 · outbound

This paper cites Bootstrap latent representations for multi-modal recommen- dation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Bootstrap latent representations for multi-modal recommen- dation,

Reference 56

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Observation f7dc9ffb-1956-4b8b-893c-c63609aac406 · outbound

This paper cites Multi-modal self-supervised learning for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multi-modal self-supervised learning for recommendation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.013854Z

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Observation ea8c7034-9ac9-4e03-878e-cc951b3817e1 · outbound

This paper cites Modal-aware bias constrained contrastive learning for multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Modal-aware bias constrained contrastive learning for multimodal recommendation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:07.004306Z

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Observation f191128a-2d5e-4bec-bfc3-88298ed1721a · outbound

This paper cites A tale of two graphs: Freezing and denoising graph structures for multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A tale of two graphs: Freezing and denoising graph structures for multimodal recommendation,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.329001Z

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Observation 33c4a14d-bea7-44af-aed3-49fe43e3f261 · outbound

This paper cites Multi-view graph convolutional network for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multi-view graph convolutional network for multimedia recommendation,

Reference 60

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This paper cites Pareto invariant representation learning for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Pareto invariant representation learning for multimedia recommendation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.982187Z

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Observation d8c7fbd1-afb4-47e1-ad8e-8085ba00cbe7 · outbound

This paper cites Enhancing dyadic relations with homogeneous graphs for multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Enhancing dyadic relations with homogeneous graphs for multimodal recommendation,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.338667Z

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Observation ad54bcc6-6edb-40c2-a568-a738f72f2376 · outbound

This paper cites Lgmrec: Local and global graph learning for multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Lgmrec: Local and global graph learning for multimodal recommendation,

Reference 63

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Observation 67f52729-11c0-4947-bbde-7c7b7e1df869 · outbound

This paper cites Llmrec: Large language models with graph augmentation for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Llmrec: Large language models with graph augmentation for recommendation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.954373Z

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Observation 158faaa6-e588-4462-b8c2-14019857f28d · outbound

This paper cites Promptmm: Multi- modal knowledge distillation for recommendation with prompt-tuning,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Promptmm: Multi- modal knowledge distillation for recommendation with prompt-tuning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.944354Z

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Observation 1de07e1f-f2c4-4965-a6f5-97b6d13cd587 · outbound

This paper cites Multimodal condi- tioned diffusion model for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Multimodal condi- tioned diffusion model for recommendation,

Reference 66

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Observation 77de3f2f-bb7b-44ea-9503-7b6895b35d7b · outbound

This paper cites Diffmm: Multi-modal diffusion model for recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Diffmm: Multi-modal diffusion model for recommendation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.916937Z

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Observation db7657fd-906b-4734-a664-565ce6ed3a21 · outbound

This paper cites Soil: Contrastive second-order interest learning for multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Soil: Contrastive second-order interest learning for multimodal recommendation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.906993Z

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Observation b8677349-bca4-4eca-8722-11f352990b7b · outbound

This paper cites Modality-balanced learning for multimedia recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Modality-balanced learning for multimedia recommendation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.890950Z

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Observation 04f0c647-8c4b-42fc-aa27-85b7a060a36f · outbound

This paper cites Gume: Graphs and user modalities enhancement for long-tail multimodal rec- ommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Gume: Graphs and user modalities enhancement for long-tail multimodal rec- ommendation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.881041Z

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Observation 4d8d34b8-7f7d-4194-8b12-08fe1ba8f4da · outbound

This paper cites Prompt-based and weak- modality enhanced multimodal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Prompt-based and weak- modality enhanced multimodal recommendation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.871575Z

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Observation 35a154e0-7d8c-47db-a4d3-89ae3465317a · outbound

This paper cites Disentangled graph variational auto-encoder for multimodal recommendation with interpretability,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Disentangled graph variational auto-encoder for multimodal recommendation with interpretability,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.861195Z

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Observation 40da3fff-2ee4-4ae2-94ac-e7ce028f41f0 · outbound

This paper cites Variational mixture of stochastic experts auto- encoder for multi-modal recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Variational mixture of stochastic experts auto- encoder for multi-modal recommendation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.849677Z

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Observation c161cb7c-48c1-42a2-b06c-ddfa05a23fa1 · outbound

This paper cites It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:49:06.526898Z

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Observation 72e99421-58ea-42a0-a8a3-3bd258f0a8fa · outbound

This paper cites MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Reference 75

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Observation 9a739f92-3f0f-4f28-81af-f82d7d8145e4 · outbound

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A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation

Reference 76

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Observation ab9787a8-3bb0-4b3f-a91b-4cfb50522963 · outbound

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A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.395239Z

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Observation f2d2bc78-c8c6-4109-b39c-3032546a37b9 · outbound

This paper cites Going deeper with convolutions,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Going deeper with convolutions,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.398826Z

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Observation b8dff025-5012-41b4-ab34-258f0ae160b6 · outbound

This paper cites Caffe: Convolutional architecture for fast feature embedding,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Caffe: Convolutional architecture for fast feature embedding,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.718548Z

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Observation 3bdb2765-1f74-486a-ae5e-8ba90d196622 · outbound

This paper cites Term-weighting approaches in automatic text retrieval,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Term-weighting approaches in automatic text retrieval,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.708171Z

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Observation d9ff00ff-f1f8-40e0-bc6f-f9e799256d9c · outbound

This paper cites The bellkor solution to the netflix grand prize,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions The bellkor solution to the netflix grand prize,

Reference 81

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Observation 63d1e4c1-9650-4e56-8d14-9db9a6ee0494 · outbound

This paper cites Glove: Global vectors for word representation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Glove: Global vectors for word representation,

Reference 82

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A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Distributed representations of words and phrases and their composi- tionality,

Reference 83

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This paper cites A simple but tough-to-beat baseline for sentence embeddings,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions A simple but tough-to-beat baseline for sentence embeddings,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.674795Z

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Observation 725ced58-2414-406e-ac15-9e3cb6fbf956 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Semi-supervised classification with graph convolutional networks,

Reference 85

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Observation b1bac0f4-46d9-4a96-a03f-63848d29e6a8 · outbound

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A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,

Reference 86

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This paper cites Representation Learning with Contrastive Predictive Coding.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Representation Learning with Contrastive Predictive Coding

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:06.428862Z

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Observation 59647251-c0f2-411e-b5d9-4ad532c7b941 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Learning deep representations by mutual information estimation and maximization

Reference 88

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Observation 1ef0404d-ecf3-4be4-a1a4-2d33060b399c · outbound

This paper cites Noise-contrastive estimation: A new estimation principle for unnormalized statistical models,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Noise-contrastive estimation: A new estimation principle for unnormalized statistical models,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:49:06.650148Z

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Observation 0f3f3e06-7004-46d6-8d9f-a0e552321ae0 · outbound

This paper cites Self-supervised hypergraph convolutional networks for session-based recommendation,.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions Self-supervised hypergraph convolutional networks for session-based recommendation,

Reference 90

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Observation a751e040-af84-4852-a495-f53dab81f683 · outbound

This paper cites 3123–3130.

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions 3123–3130

Reference 2023

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Pith citing papers

Observation 0b981af5-dbdb-40a0-8716-7a29c53e1322 · inbound

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets cites this paper.

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 34

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Observation cb01c9be-520e-465d-a783-59fa691153b4 · inbound

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation cites this paper.

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 49

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Observation a21b989d-0937-4632-8a90-79c55b1bc5cb · inbound

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation cites this paper.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:54.128959Z

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RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment cites this paper.

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 42

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Observation 118cd7bf-cd82-41d4-9e5d-98072f748dc4 · inbound

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning cites this paper.

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:16.999488Z

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Observation eed4032b-45c8-4d63-9e9a-ce2031cf76f0 · inbound

Discrete Preference Learning for Personalized Multimodal Generation cites this paper.

Discrete Preference Learning for Personalized Multimodal Generation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:29:43.949619Z

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Observation 651025ad-98b1-466e-9677-78a1ad2d26ea · inbound

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation cites this paper.

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:12:51.706669Z

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Observation 2edcd7e5-b32a-4b38-965f-c47c599abd93 · inbound

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning cites this paper.

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.127066Z

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