Paper Citation Record · LEDGER

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.03715.

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

pith.paper-citation-record.v1
2502.03715 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:05:43.359459Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

verified exact0
verified fuzzy20
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0a5489e-cc38-4641-aa2e-e7602073865e · outbound

This paper cites Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.216421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 734452da-879f-4889-8695-ff3d0df88bb8 · outbound

This paper cites Long short-term memory.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Long short-term memory

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.862562Z

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 d332a2e6-fba1-44eb-bf81-520ca2752a5b · outbound

This paper cites Then we identify items with an item-item relation- ship to target item i and derive all corresponding I-I triplets.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Then we identify items with an item-item relation- ship to target item i and derive all corresponding I-I triplets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.553565Z

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 ae240a4b-f674-4da0-b674-766b309557f9 · outbound

This paper cites an unresolved cited work.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T01:05:43.536841Z

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 a1284ef3-56ee-48e9-acca-7736a0ea80f3 · outbound

This paper cites Masked au- toencoders are scalable vision learners.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Masked au- toencoders are scalable vision learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.246973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65c6766-5400-470b-9430-7b9549d8efda · outbound

This paper cites Self-attentive sequential recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Self-attentive sequential recommendation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.795609Z

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 8ec71240-5abf-4dbc-9882-38dc4c7dd07d · outbound

This paper cites [Ren et al., 2024] Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models [Ren et al., 2024] Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.749240Z

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 e04428f5-7995-424a-8cb0-a40b44c4a425 · outbound

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

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.277620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a783c697-8e34-4ccb-a4c4-06ec8010676b · outbound

This paper cites Graph Attention Networks.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Graph Attention Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.286422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa018116-83f0-4b0e-b486-d53a2e849b2b · outbound

This paper cites Unleashing the power of knowl- edge graph for recommendation via invariant learning.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Unleashing the power of knowl- edge graph for recommendation via invariant learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.705166Z

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 aaee5962-cb73-45e6-9a13-dee5a17df983 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.304078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0130344b-9084-47a1-9402-914a498d748f · outbound

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

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Llmrec: Large language models with graph augmentation for recommendation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.679509Z

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 753d15bb-48e5-4faf-b2db-6af1092a346e · outbound

This paper cites Self-supervised graph learning for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Self-supervised graph learning for recommendation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.664206Z

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 c4fb4506-0901-4c5e-be5d-533b1647a155 · outbound

This paper cites A Survey on Large Language Models for Recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models A Survey on Large Language Models for Recommendation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.317185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02215ef-f3ab-429b-bbdc-7dff47a68784 · outbound

This paper cites Afdgcf: Adaptive feature de-correlation graph collaborative filtering for rec- ommendations.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Afdgcf: Adaptive feature de-correlation graph collaborative filtering for rec- ommendations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.648577Z

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 2b914251-e149-485e-8053-e8c9a5e243ee · outbound

This paper cites Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.326664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90fe24b-5dae-4bb2-88f0-75134c5d9fc9 · outbound

This paper cites Knowledge graph contrastive learning for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Knowledge graph contrastive learning for recommendation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.633384Z

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 03c7f9af-aea1-4963-bbf2-c8b93c49bd5b · outbound

This paper cites Knowledge graph self-supervised rationalization for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Knowledge graph self-supervised rationalization for recommendation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.616712Z

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 9dfa456b-ec35-4c80-bb56-75e369b7fc3c · outbound

This paper cites Are graph augmentations necessary? simple graph contrastive learning for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Are graph augmentations necessary? simple graph contrastive learning for recommendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.600084Z

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 24f3a0fd-1174-461c-bb88-78545033e93d · outbound

This paper cites Xsimgcl: Towards extremely simple graph contrastive learning for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Xsimgcl: Towards extremely simple graph contrastive learning for recommendation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.584407Z

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 2246c687-7147-4d9a-a385-cc01abc40a79 · outbound

This paper cites Collaborative knowledge base embedding for recommender systems.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Collaborative knowledge base embedding for recommender systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.568510Z

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 6d24f0cb-4479-4f27-a232-fc25936e21a9 · outbound

This paper cites Knowledge Graph Enhanced Large Language Model Editing.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Knowledge Graph Enhanced Large Language Model Editing

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.351665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f99ee7c-5a6d-41c3-9c4b-7fcdc96501fd · outbound

This paper cites Myanimelist - anime and manga database and community,.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Myanimelist - anime and manga database and community,

Reference 1985

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.763436Z

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 30a889d7-9cad-4cad-ae57-bb5ca6a45b80 · outbound

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

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models A survey on knowledge graph-based recommender systems

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.847408Z

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 294108d6-52fe-46b7-aa34-5e2430e8f8d1 · outbound

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

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.241902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dea6335-16dc-4266-a7f0-da58a41597df · outbound

This paper cites Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.281968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1203f79c-84bf-4217-8af1-4e9eb980e8c0 · outbound

This paper cites A family of bivariate distributions generated by the bivariate bernoulli distribution.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models A family of bivariate distributions generated by the bivariate bernoulli distribution

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.779763Z

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 a194cfaf-e973-44c5-9d53-ca680425898c · outbound

This paper cites Learning intents behind interactions with knowledge graph for recommendation.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Learning intents behind interactions with knowledge graph for recommendation

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.734468Z

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 96ce4ffa-d852-49ba-87dd-e75e20634793 · outbound

This paper cites Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.831471Z

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 620f137e-e271-4519-89dc-2c6471f32c4c · outbound

This paper cites Setrank: A setwise bayesian approach for collaborative ranking in rec- ommender system.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Setrank: A setwise bayesian approach for collaborative ranking in rec- ommender system

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.720262Z

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 c44c8f4c-df71-401c-aa91-7ab07944bc32 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Categorical Reparameterization with Gumbel-Softmax

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.251488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2551a8ce-5104-487e-b928-258e82b71ff5 · outbound

This paper cites Tele-knowledge pre-training for fault analysis.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Tele-knowledge pre-training for fault analysis

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T01:05:43.877175Z

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 0cbe9a51-70d0-4ccd-aff1-f6af88e024bf · outbound

This paper cites LKPNR: LLM and KG for Personalized News Recommendation Framework.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models LKPNR: LLM and KG for Personalized News Recommendation Framework

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:43.273150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.