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Paper Citation Record · LEDGER

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.25471.

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

pith.paper-citation-record.v1
2607.25471 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:23:46.071601Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation a1782017-69bd-43e0-b915-409b8f0c2632 · outbound

This paper cites Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization.Expert Systems with Applications, 263:125667, 2025.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization.Expert Systems with Applications, 263:125667, 2025

Reference 1

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Observation e3db0dd1-2472-4e19-9356-200d92ae0a48 · outbound

This paper cites Item2vec: neural item embeddings for collaborative filtering.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Item2vec: neural item embeddings for collaborative filtering

Reference 2

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Observation 4979da0c-ddb3-404a-a0e1-7458c0551d93 · outbound

This paper cites Towards universal cross-domain recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Towards universal cross-domain recommendation

Reference 3

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Observation 9e73ad55-b84f-4dff-80d0-4be0853a0584 · outbound

This paper cites Cross-domain recommen- dation to cold-start users via variational information bottleneck.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Cross-domain recommen- dation to cold-start users via variational information bottleneck

Reference 4

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Observation 5d5121e7-d74f-40af-93f0-a7d045675367 · outbound

This paper cites Wide & deep learning for recommender systems.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Wide & deep learning for recommender systems

Reference 5

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Observation 598de99f-ca6c-46a9-823c-e43bc68497d7 · outbound

This paper cites Rakcr: Reviews sentiment-aware based knowledge graph convolutional networks for personalized recommendation.Expert Systems with Applications, 248:123403, 2024.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Rakcr: Reviews sentiment-aware based knowledge graph convolutional networks for personalized recommendation.Expert Systems with Applications, 248:123403, 2024

Reference 6

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Observation 3cef9cd4-3bda-4c18-a555-e8f8427c9714 · outbound

This paper cites Homogeneous and heterogeneous relational graph for visible-infrared person re-identification.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Homogeneous and heterogeneous relational graph for visible-infrared person re-identification

Reference 7

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Observation b1391a6d-f239-4d56-ab90-9a28ef42305a · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 8

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Observation 8c42a784-b4f3-448c-b137-1ae9faa5e527 · outbound

This paper cites Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5).

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)

Reference 9

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Observation 5a8a3291-c8a8-4214-be13-3cedabdef99a · outbound

This paper cites node2vec: Scalable feature learning for networks.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation node2vec: Scalable feature learning for networks

Reference 10

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Observation e7831530-5be0-40dd-8c76-b94bd8ac30f5 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 11

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Observation 081a32fc-f06a-421e-a107-0518e7e39f66 · outbound

This paper cites Neural collaborative filtering.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Neural collaborative filtering

Reference 12

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Observation ceb1554c-5b70-4e3e-a692-72507c0ebb9f · outbound

This paper cites Towards universal sequence representation learning for recommender systems.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Towards universal sequence representation learning for recommender systems

Reference 13

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Observation cda08473-1759-44da-882d-25951719be9c · outbound

This paper cites Tag-aware attentional graph neural networks for personalized tag recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Tag-aware attentional graph neural networks for personalized tag recommendation

Reference 14

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Observation 2ed76a65-77af-49da-91f8-cbce362a9c1c · outbound

This paper cites Matrix factorization techniques for recom- mender systems.Computer, 42(8):30–37, 2009.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Matrix factorization techniques for recom- mender systems.Computer, 42(8):30–37, 2009

Reference 15

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Observation e21ab1ee-7556-4abb-bdc7-ee5807decbc5 · outbound

This paper cites Text is all you need: Learning language representations for sequential recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Text is all you need: Learning language representations for sequential recommendation

Reference 16

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Observation 8c1501a7-bb3d-459a-aa09-8b083db0ca8c · outbound

This paper cites Mixed attention network for cross-domain sequential recom- mendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Mixed attention network for cross-domain sequential recom- mendation

Reference 17

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Observation 65603ac1-8179-4518-b599-3c23fe5c92f6 · outbound

This paper cites How can recommender systems benefit from large language models: A survey.ACM Transactions on Information Systems, 43(2):1–47, 2025.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation How can recommender systems benefit from large language models: A survey.ACM Transactions on Information Systems, 43(2):1–47, 2025

Reference 18

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Observation 6d7e58c3-02a8-4bb9-8cae-316cf8804a07 · outbound

This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Is ChatGPT a Good Recommender? A Preliminary Study

Reference 19

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Observation 9db913bf-d987-464e-b247-7385448fc250 · outbound

This paper cites Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems

Reference 20

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Observation a9898e27-21dd-4621-ade2-7b3ef0cce3f5 · outbound

This paper cites Poi recommendation for random groups based on cooperative graph neural networks.Information Processing & Management, 61(3):103676, 2024.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Poi recommendation for random groups based on cooperative graph neural networks.Information Processing & Management, 61(3):103676, 2024

Reference 21

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Observation a41ed6a9-4a35-4b22-8929-441de136498b · outbound

This paper cites Sequential recom- mendation with metric models based on frequent sequences.Data Mining and Knowledge Discovery, 35:1087–1133, 2021.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Sequential recom- mendation with metric models based on frequent sequences.Data Mining and Knowledge Discovery, 35:1087–1133, 2021

Reference 22

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Observation 7f4e4fa2-663b-4514-b5d3-e343474ad524 · outbound

This paper cites Exploring false hard negative sample in cross-domain recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Exploring false hard negative sample in cross-domain recommendation

Reference 23

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Observation 2ac33fcb-ab52-4d1f-b74b-ca46b72cf0b7 · outbound

This paper cites From theory to practice: The evolution and comparative analysis of homogeneous vs.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation From theory to practice: The evolution and comparative analysis of homogeneous vs

Reference 24

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Observation ea424200-663f-4db8-86e8-530b5e9d577e · outbound

This paper cites Improving the accuracy of collaborative filtering recommendations using clustering and associa- tion rules mining on implicit data.Computers in Human Behavior, 67:113–128, 2017.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Improving the accuracy of collaborative filtering recommendations using clustering and associa- tion rules mining on implicit data.Computers in Human Behavior, 67:113–128, 2017

Reference 25

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Observation dc18f7f6-8e1c-49c4-b355-d8b5b1cfbb0d · outbound

This paper cites Deepwalk: Online learning of social repre- sentations.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Deepwalk: Online learning of social repre- sentations

Reference 26

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Observation 7d60dee7-ee58-4b96-ab80-d136f863692b · outbound

This paper cites Representation learning with large language models for recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Representation learning with large language models for recommendation

Reference 27

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Observation 0f9e1693-c7b3-451d-bf0c-b1f733313019 · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 28

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Observation 3123de9c-9ecb-43bd-9128-3aa41156f80f · outbound

This paper cites Cross-domain recommendation with user personality.Knowledge-Based Systems, 213:106664, 2021.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Cross-domain recommendation with user personality.Knowledge-Based Systems, 213:106664, 2021

Reference 29

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Observation 66339fe3-f9ab-4b55-9197-7c4a2abc5634 · outbound

This paper cites Knowledge-aware graph neural networks with label attention mechanism for recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Knowledge-aware graph neural networks with label attention mechanism for recommendation

Reference 30

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Observation b3d1b233-79c5-425b-b347-be9a7c837014 · outbound

This paper cites Neural graph collabo- rative filtering.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Neural graph collabo- rative filtering

Reference 31

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Observation afa960a8-77e1-42e9-b9fb-f5b625b85039 · outbound

This paper cites Het- erogeneous graph attention network.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Het- erogeneous graph attention network

Reference 32

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Observation f7a4c240-9c01-4e77-9881-4e9acc2206db · outbound

This paper cites A survey on large language models for recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation A survey on large language models for recommendation

Reference 33

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Observation 3e5582e6-abba-4d79-b5a5-caf52b8d73b6 · outbound

This paper cites Neural node matching for multi-target cross domain recommendation.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Neural node matching for multi-target cross domain recommendation

Reference 34

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Observation c162e667-57be-4ac4-935f-67b1f66c2d9c · outbound

This paper cites Enabling the Analysis of Personality Aspects in Recommender Systems.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Enabling the Analysis of Personality Aspects in Recommender Systems

Reference 35

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Observation d14b13bc-c7ba-45d5-b090-c4f4e7d74d4e · outbound

This paper cites Recommender systems in the era of large language models (llms).IEEE Transactions on Knowledge and Data Engineering, 2024.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Recommender systems in the era of large language models (llms).IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T02:23:46.061918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:23:46.061918Z digest=sha256:4a6c5d4e86311406b486ab6e24ff2da3880f752d46da881f0c688448205f7148

Observation e86f4821-7eb3-4a03-bb0c-dc6fbf1e8871 · outbound

This paper cites Limitations.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Limitations

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-08-01T02:23:46.066001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:23:46.066001Z digest=sha256:e0147fe862aa86baee9b153de120083a7b1b0cbc03110c1696ece5fac981980c

Observation cb891aea-5638-46cd-9823-c7c206db353c · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T02:23:46.071601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:23:46.071601Z digest=sha256:2c999d7bb9124b34fd3e03018b4906bd43792d39dea395a93918c284ca4865b5

Pith citing papers

No inbound Pith citation observations are available.