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Paper Citation Record · LEDGER

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.06286.

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

pith.paper-citation-record.v1
2509.06286 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:54:01.046052Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact3
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fa53694-1edc-4dcb-ab4e-bc6554a655ca · outbound

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

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Graph neural networks in recommender systems: a survey,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 124ab0b7-943c-4c8c-bf95-b14f662d15c5 · outbound

This paper cites Graph neural networks for recommender system,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Graph neural networks for recommender system,

Reference 2

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raw_fallback, observed 2026-08-04T23:54:03.504768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f2c999bb-af7b-4b1a-9447-f53705a3417b · outbound

This paper cites Neural graph collaborative filtering,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Neural graph collaborative filtering,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-04T23:54:03.396637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 34b77462-06a2-4c77-ad1f-c04378fb28de · outbound

This paper cites Graph convolutional neural networks for web-scale recommender systems,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Graph convolutional neural networks for web-scale recommender systems,

Reference 4

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raw_fallback, observed 2026-08-04T23:54:03.283521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f412a749-cd9b-4b38-a697-59b0f020e363 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,

Reference 5

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raw_fallback, observed 2026-08-04T23:54:03.192769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:53:59.974109Z digest=sha256:573b422f0bb3b9ad657b39d55a5073b7184d48444a0b85ad8795ec9686e9f840

Observation aeafdf8f-6c76-4560-ae3c-0b3deeb1ec72 · outbound

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

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 6

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unresolved
no resolver link, observed 2026-08-04T23:54:00.017754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a3aa9181-560e-4b6b-9fa9-2fdd8c4242f7 · outbound

This paper cites Large language models meet collaborative filtering: An efficient all-round llm- based recommender system,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Large language models meet collaborative filtering: An efficient all-round llm- based recommender system,

Reference 7

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raw_fallback, observed 2026-08-04T23:54:03.095943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 513f97ab-e834-4c2b-a82d-e39506ca13b3 · outbound

This paper cites Attention is all you need,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Attention is all you need,

Reference 8

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no resolver link, observed 2026-08-04T23:54:00.138932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f94c85d-6caa-4b0b-b1b8-7bf01aef10e2 · outbound

This paper cites Unifying prediction and explanation in time-series transformers via shapley-based pretraining,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Unifying prediction and explanation in time-series transformers via shapley-based pretraining,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 784e2065-304e-4d1e-bc75-8a3c117eeddc · outbound

This paper cites Selective layer fine-tuning for federated health- care nlp: A cost-efficient approach,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Selective layer fine-tuning for federated health- care nlp: A cost-efficient approach,

Reference 10

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raw_fallback, observed 2026-08-04T23:54:02.911504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 748dc687-4ca3-4b49-810e-2747266bcf18 · outbound

This paper cites S3-rec: Self-supervised learning for sequential recom- mendation with mutual information maximization,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations S3-rec: Self-supervised learning for sequential recom- mendation with mutual information maximization,

Reference 11

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raw_fallback, observed 2026-08-04T23:54:02.822007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 546c0356-cd9b-42c0-9065-18881f238e19 · outbound

This paper cites Contrastive learning for sequential recommendation,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Contrastive learning for sequential recommendation,

Reference 12

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raw_fallback, observed 2026-08-04T23:54:02.758554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b5576ead-664b-4373-9f2e-7186e4f36872 · outbound

This paper cites Simgcl: graph con- trastive learning by finding homophily in heterophily,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Simgcl: graph con- trastive learning by finding homophily in heterophily,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:54:00.337068Z digest=sha256:58fe38a2bef7fdb2db028787f059d6e3120026866e18d91fbe7b782bceabbab7

Observation 87b54d39-4d30-4178-b049-b41ea56fa786 · outbound

This paper cites Xsimgcl: Towards extremely simple graph contrastive learning for recommenda- tion,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Xsimgcl: Towards extremely simple graph contrastive learning for recommenda- tion,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-04T23:54:02.580965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d4b707b8-f1e4-4709-b17f-e997069e96e2 · outbound

This paper cites Joint deep modeling of users and items using reviews for recommendation,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Joint deep modeling of users and items using reviews for recommendation,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-04T23:54:02.516762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:54:00.406308Z digest=sha256:d3680a4369f23873d11abe431ed1d35eed67356930f2c12b802a91f30a6e7f64

Observation 0820a41c-cc67-465f-9c5c-32b6c15b47c0 · outbound

This paper cites Neural attentional rating regression with review-level explanations,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Neural attentional rating regression with review-level explanations,

Reference 16

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raw_fallback, observed 2026-08-04T23:54:02.375407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation baf4d113-d733-478e-8223-0e5a37d6628f · outbound

This paper cites Neural News Recommendation with Attentive Multi-View Learning.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Neural News Recommendation with Attentive Multi-View Learning

Reference 17

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local_arxiv, observed 2026-08-04T23:54:01.355049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8378c22e-3ded-4e40-9545-4a4a5f73bbd6 · outbound

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

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Mmgcn: Multi-modal graph convolution network for personalized recommenda- tion of micro-video,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 34536199-543b-48ca-b535-12c7e6e659cc · outbound

This paper cites GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Reference 19

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unresolved
no resolver link, observed 2026-08-04T23:54:00.567764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6dea11d-922c-44ee-b210-44dbb81e4a9f · outbound

This paper cites Recom- mendation as instruction following: A large language model empowered recommendation approach,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Recom- mendation as instruction following: A large language model empowered recommendation approach,

Reference 20

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raw_fallback, observed 2026-08-04T23:54:02.173770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 448bf59b-98e1-40e7-8902-467ddcd93be5 · outbound

This paper cites Large language models are zero-shot rankers for recommender systems,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Large language models are zero-shot rankers for recommender systems,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-04T23:54:02.104893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 26937939-8d2e-4c06-a8d8-645f164999ab · outbound

This paper cites Recommender systems in the era of large language models (llms),.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Recommender systems in the era of large language models (llms),

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:54:02.012580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f543167-e902-4fc3-866c-6374aed2679c · outbound

This paper cites Collm: Integrating collaborative embeddings into large language models for rec- ommendation,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Collm: Integrating collaborative embeddings into large language models for rec- ommendation,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-04T23:54:01.924145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 68086dad-4b6a-41d3-b9d2-23a78333236b · outbound

This paper cites Large language models enhanced collaborative filtering,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Large language models enhanced collaborative filtering,

Reference 24

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raw_fallback, observed 2026-08-04T23:54:01.794922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 802045bf-3187-4ef5-8fdf-d289456f3ef1 · outbound

This paper cites Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:54:01.235162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bc3011f7-8473-4f4f-bcb7-4ba5ea2f8245 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Lora: Low-rank adaptation of large language models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T23:54:00.832960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:54:00.832960Z digest=sha256:d77d120fdb51613b614a948d1e4cce361da21320a93729e8743ec54035b44195

Observation cc2e4043-ef1b-4e02-9c92-2e66006ef16f · outbound

This paper cites Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:54:01.151499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1008e864-19ef-454b-a9f7-661aae52c391 · outbound

This paper cites Self-attentive sequential recommenda- tion,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Self-attentive sequential recommenda- tion,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:54:01.720246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:54:00.898976Z digest=sha256:469e32adc15203f09cc63bdb4c773478d5db8920d650180eb53a816721a2cf77

Observation bac5bd06-3918-47d4-87e4-586afb0b76b9 · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:54:01.633546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:54:00.979087Z digest=sha256:132486bbfd3d405422474eef7b84bb9cad3b1ad9890138a9a68f276c0d889cf4

Observation 4cfe276b-acdf-46bc-8962-34c5d54737a0 · outbound

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

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Llmrec: Large language models with graph augmentation for recommendation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:54:01.514092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:54:01.038021Z digest=sha256:11b5287d83603feebcab088472beba75d3e6af16dfe1ec780821684f9f27c6a1

Observation 62f821d9-88c3-4625-930f-5f889f6d8ff6 · outbound

This paper cites Enhancing sequential recommendation via llm-based semantic embedding learning,.

RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Enhancing sequential recommendation via llm-based semantic embedding learning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:54:01.446538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.