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Paper Citation Record · LEDGER

Gated Multimodal Graph Learning for Personalized Recommendation

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.00107.

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

pith.paper-citation-record.v1
2506.00107 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:59.938040Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:08.314047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:12:10.177960Z

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff958bee-5fc2-44de-b18d-141c20406855 · outbound

This paper cites Jy61 imu sensor external validity: A framework for advanced pe- dometer algorithm personalisation.

Gated Multimodal Graph Learning for Personalized Recommendation Jy61 imu sensor external validity: A framework for advanced pe- dometer algorithm personalisation

Reference 1

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Observation e068d4f3-831e-409a-9641-9c8c9d6fd351 · outbound

This paper cites Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case study.

Gated Multimodal Graph Learning for Personalized Recommendation Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case study

Reference 2

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Source-reported events for the cited work

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Observation dd96d558-889f-4f43-a6b2-698da102dd7f · outbound

This paper cites A gan-based method to tune lstm hyperparameters for financial forecasting.

Gated Multimodal Graph Learning for Personalized Recommendation A gan-based method to tune lstm hyperparameters for financial forecasting

Reference 3

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Observation d97f4db8-ac2c-4808-90c8-c54d1adb28ed · outbound

This paper cites an unresolved cited work.

Gated Multimodal Graph Learning for Personalized Recommendation Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8d0762e0-6ff4-48b4-871a-b0ea1c6ac024 · outbound

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

Gated Multimodal Graph Learning for Personalized Recommendation Vbpr: visual bayesian personalized ranking from implicit feedback

Reference 5

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Source-reported events for the cited work

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Observation 7d9a0864-0c1f-496b-920e-c3a5998cee75 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommen- dation.

Gated Multimodal Graph Learning for Personalized Recommendation Lightgcn: Simplifying and powering graph convolution network for recommen- dation

Reference 6

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Source-reported events for the cited work

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Observation d25a4438-4ce3-4940-91ef-05bf9df22fe7 · outbound

This paper cites The impact of apple’s digital design on its success: An analysis of interaction and interface de- sign.

Gated Multimodal Graph Learning for Personalized Recommendation The impact of apple’s digital design on its success: An analysis of interaction and interface de- sign

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4ef61678-7fee-4c42-9805-e9b7eb969abb · outbound

This paper cites Transforming logistics with innovative inte r- action design and digital ux solutions.

Gated Multimodal Graph Learning for Personalized Recommendation Transforming logistics with innovative inte r- action design and digital ux solutions

Reference 8

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Source-reported events for the cited work

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Observation 90724e31-703e-4c41-bb5d-86cfbbd6ddbe · outbound

This paper cites A con- trastive deep learning approach to cryptocurrency portfo- lio with us treasuries.

Gated Multimodal Graph Learning for Personalized Recommendation A con- trastive deep learning approach to cryptocurrency portfo- lio with us treasuries

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0335670e-bf85-41ab-85f7-7f6a5d037c2d · outbound

This paper cites Knowledge graph embedding and few-shot relational learning meth- ods for digital assets in usa.

Gated Multimodal Graph Learning for Personalized Recommendation Knowledge graph embedding and few-shot relational learning meth- ods for digital assets in usa

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation db3ea585-4125-4123-81d4-e45c372faed9 · outbound

This paper cites SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition.

Gated Multimodal Graph Learning for Personalized Recommendation SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d4ebc2e-617f-4145-acc9-f964ad19741d · outbound

This paper cites Cot: an efficient and accurate method for detecting marker genes among many subtypes.

Gated Multimodal Graph Learning for Personalized Recommendation Cot: an efficient and accurate method for detecting marker genes among many subtypes

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5bc90592-e970-4138-af4f-0afc54a9f3d0 · outbound

This paper cites Knowledge graph for query enrichment in retrieval augmented generation in domain specific ap- plication.

Gated Multimodal Graph Learning for Personalized Recommendation Knowledge graph for query enrichment in retrieval augmented generation in domain specific ap- plication

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 8abdb679-d660-4d4e-8ef7-97f534f7bb19 · outbound

This paper cites Convex optimization of markov decision pro- cesses based on z transform: A theoretical framework for two-space decomposition and linear programming recon- struction.

Gated Multimodal Graph Learning for Personalized Recommendation Convex optimization of markov decision pro- cesses based on z transform: A theoretical framework for two-space decomposition and linear programming recon- struction

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a8f24ceb-40cf-457a-ab56-58d649bc9e29 · outbound

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

Gated Multimodal Graph Learning for Personalized Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 15

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Source-reported events for the cited work

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Observation 86fc0150-d900-4412-9ce3-96eeb4ffd79d · outbound

This paper cites Evaluat- ing supervised learning models for fraud detection: A comparative study of classical and deep architectures on imbalanced transaction data, 2025.

Gated Multimodal Graph Learning for Personalized Recommendation Evaluat- ing supervised learning models for fraud detection: A comparative study of classical and deep architectures on imbalanced transaction data, 2025

Reference 16

Resolution
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Source-reported events for the cited work

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Observation a397435d-26d0-4ad8-a4bf-405d0d1cea1c · outbound

This paper cites MaRI: Material Retrieval Integration across Domains.

Gated Multimodal Graph Learning for Personalized Recommendation MaRI: Material Retrieval Integration across Domains

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 57579919-0c3f-4e2f-b1ca-16ffdcc5b7e3 · outbound

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

Gated Multimodal Graph Learning for Personalized Recommendation Dualgnn: Dual graph neural network for multimedia recommendation

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5126d9c0-19a9-4475-b4c2-1d8a2bf03a48 · outbound

This paper cites A sys- tematic review of machine learning applications in in- fectious disease prediction, diagnosis, and outbreak fore - casting.

Gated Multimodal Graph Learning for Personalized Recommendation A sys- tematic review of machine learning applications in in- fectious disease prediction, diagnosis, and outbreak fore - casting

Reference 19

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Source-reported events for the cited work

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Observation 68ac92ae-1a17-45f9-87f0-41798859f23c · outbound

This paper cites Study of artificial intelligence for visual defect inspection in industrial products.

Gated Multimodal Graph Learning for Personalized Recommendation Study of artificial intelligence for visual defect inspection in industrial products

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d3574816-26a4-458a-a88e-fa4e7d1039ef · outbound

This paper cites Mmgcn: Multi- modal graph convolution network for personalized rec- ommendation of micro-video.

Gated Multimodal Graph Learning for Personalized Recommendation Mmgcn: Multi- modal graph convolution network for personalized rec- ommendation of micro-video

Reference 21

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Source-reported events for the cited work

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Observation 79d5a4d1-8d51-4d80-912f-33240b6f7fe1 · outbound

This paper cites Warehouse robot task scheduling based on reinforcement learning to maximize operational efficiency.

Gated Multimodal Graph Learning for Personalized Recommendation Warehouse robot task scheduling based on reinforcement learning to maximize operational efficiency

Reference 22

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Source-reported events for the cited work

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Observation 1eb45a70-4a31-4377-ac03-2148cbe73eb6 · outbound

This paper cites Advancing unsupervised graph anomaly detection: A multi-level contrastive learning framework to mitigate local consistency decep- tion.

Gated Multimodal Graph Learning for Personalized Recommendation Advancing unsupervised graph anomaly detection: A multi-level contrastive learning framework to mitigate local consistency decep- tion

Reference 23

Resolution
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Source-reported events for the cited work

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Observation f9784b28-5328-410a-9d64-63f611940ec0 · outbound

This paper cites Multisage: Empowering gcn with contextualized multi- embeddings on web-scale multipartite networks.

Gated Multimodal Graph Learning for Personalized Recommendation Multisage: Empowering gcn with contextualized multi- embeddings on web-scale multipartite networks

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 44c562f1-fd14-4ee7-b7b1-11e1c85c9eac · outbound

This paper cites Interpretable credit default prediction with ensem- ble learning and shap, 2025.

Gated Multimodal Graph Learning for Personalized Recommendation Interpretable credit default prediction with ensem- ble learning and shap, 2025

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b1cb6b53-ce77-4acc-ad1c-f7d9ea10acb2 · outbound

This paper cites Machine learning optimizes the ef- ficiency of picking and packing in automated warehouse robot systems.

Gated Multimodal Graph Learning for Personalized Recommendation Machine learning optimizes the ef- ficiency of picking and packing in automated warehouse robot systems

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cff97373-656f-441b-8c36-d68621f104c3 · outbound

This paper cites Multi-scale video super-resolution transformer with polynomial approximation.

Gated Multimodal Graph Learning for Personalized Recommendation Multi-scale video super-resolution transformer with polynomial approximation

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a4aba747-2ee9-45b2-b041-2d33d25d95bd · outbound

This paper cites Optimization and application of cloud-based deep learning architecture for multi-source data prediction, 2024.

Gated Multimodal Graph Learning for Personalized Recommendation Optimization and application of cloud-based deep learning architecture for multi-source data prediction, 2024

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d78ef1c9-b44a-4dfb-9ec1-0fd85a75a5eb · outbound

This paper cites The role of machine learning in reducing healthcare costs: The impact of medication adherence and preventive care on hospital- ization expenses, 2025.

Gated Multimodal Graph Learning for Personalized Recommendation The role of machine learning in reducing healthcare costs: The impact of medication adherence and preventive care on hospital- ization expenses, 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:19:01.473614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b6cbf592-78a7-4c98-88e7-466971986f77 · outbound

This paper cites Contex- tual bandits for unbounded context distributions, 2025.

Gated Multimodal Graph Learning for Personalized Recommendation Contex- tual bandits for unbounded context distributions, 2025

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T12:19:01.229123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a6627a86-ac1d-44f5-91ad-8772570799be · outbound

This paper cites Mentor: Multi-level self-supervised learning for multimodal recommendation.

Gated Multimodal Graph Learning for Personalized Recommendation Mentor: Multi-level self-supervised learning for multimodal recommendation

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c65f47b-4d59-486b-b130-c40ec2458e27 · outbound

This paper cites Enhancing thyroid disease prediction using machine learning: A compar- ative study of ensemble models and class balancing tech- niques.

Gated Multimodal Graph Learning for Personalized Recommendation Enhancing thyroid disease prediction using machine learning: A compar- ative study of ensemble models and class balancing tech- niques

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:19:00.800816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1357fb10-9b84-4a86-b9c2-323c0e88712c · outbound

This paper cites Layer-refined graph convolutional networks for recom- mendation.

Gated Multimodal Graph Learning for Personalized Recommendation Layer-refined graph convolutional networks for recom- mendation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:19:00.582985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

Observation 7d8c9464-f881-4be8-ab54-93dd130cb6f6 · inbound

Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator cites this paper.

Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator Gated Multimodal Graph Learning for Personalized Recommendation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:12:10.330681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:12:08.314047Z digest=sha256:8d26b3aa06e12702049cf96c277a41943f12293d009913af1dba6257d15a94ae