Paper Citation Record · LEDGER

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.08401.

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

pith.paper-citation-record.v1
2506.08401 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:15.099453Z

measured 31 of 31 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 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 exact0
verified fuzzy31
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2af36f7e-ed47-4d4e-8de7-ed78146a36de · outbound

This paper cites Matrix factorization techniques for context-aware collabo- rative filtering recommender systems: A survey.Comput.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Matrix factorization techniques for context-aware collabo- rative filtering recommender systems: A survey.Comput

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.393747Z

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.

Observation a395de11-ed79-4818-ac67-4c79b549a022 · outbound

This paper cites Backdoor attacks on unsu- pervised graph representation learning.Neural Networks, 180:106668,.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Backdoor attacks on unsu- pervised graph representation learning.Neural Networks, 180:106668,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.350958Z

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.

Observation 30160ab5-a5bc-4e33-b008-8896dce81b17 · outbound

This paper cites Robustness of graph neural networks at scale.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Robustness of graph neural networks at scale

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.342221Z

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.

Observation 9b8876cc-d665-41a7-886a-1d14aec57c33 · outbound

This paper cites Targeted shilling attacks on gnn-based recommender sys- tems.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Targeted shilling attacks on gnn-based recommender sys- tems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.333469Z

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.

Observation f40f515e-681c-4d6d-b01a-39b576525aa3 · outbound

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

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.324999Z

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.

Observation ee4e296d-0cda-4dfd-a6c8-cdb263394ae0 · outbound

This paper cites Dual intent enhanced graph neural network for session- based new item recommendation.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Dual intent enhanced graph neural network for session- based new item recommendation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.283629Z

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.

Observation 91a3da78-b543-4d2f-b745-5fc11c3693aa · outbound

This paper cites Backdoor attack on propagation-based rumor detectors.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Backdoor attack on propagation-based rumor detectors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.275448Z

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.

Observation ac05c869-f6c6-4d25-bc26-e8ac2dccca70 · outbound

This paper cites Bell, and Chris V olinsky.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Bell, and Chris V olinsky

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.267007Z

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.

Observation 906c108e-edc2-4d75-ad26-8e41846edf12 · outbound

This paper cites O’Mahony, Neil J.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems O’Mahony, Neil J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.240702Z

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.

Observation 9d7dd91b-9b00-4218-9520-b76bd0d6e50e · outbound

This paper cites Konstan, and John Riedl.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Konstan, and John Riedl

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.232526Z

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.

Observation ea282fbe-f6dd-4a73-a050-63ef55365ec5 · outbound

This paper cites Elevating knowledge-enhanced entity and relation- ship understanding for sarcasm detection.IEEE Transac- tions on Knowledge and Data Engineering,.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Elevating knowledge-enhanced entity and relation- ship understanding for sarcasm detection.IEEE Transac- tions on Knowledge and Data Engineering,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.214622Z

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.

Observation eb661db2-0554-42e2-9c73-3f13db166fab · outbound

This paper cites Ready for emerging threats to recommender systems? A graph convolution- based generative shilling attack.Inf.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Ready for emerging threats to recommender systems? A graph convolution- based generative shilling attack.Inf

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.205380Z

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.

Observation 24d84132-2a6b-4601-bec9-e32d1b533400 · outbound

This paper cites Graph backdoor.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Graph backdoor

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.196088Z

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.

Observation f3c7fe18-fa89-4962-bbec-1802aed849a2 · outbound

This paper cites Graph- based recommendation system.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Graph- based recommendation system

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.187403Z

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.

Observation 64967a75-da29-4042-ac50-16d87b8fd6e5 · outbound

This paper cites Backdoor attacks to graph neural networks.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Backdoor attacks to graph neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.177944Z

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.

Observation 9ea07a1c-dfef-4eba-9529-9d793636e1f5 · outbound

This paper cites Rethinking graph backdoor at- tacks: A distribution-preserving perspective.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Rethinking graph backdoor at- tacks: A distribution-preserving perspective

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.167904Z

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.

Observation 5a145fae-1ea6-4124-a3d0-566f88ec8fae · outbound

This paper cites Unifying graph contrastive learning with flexible contextual scopes.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Unifying graph contrastive learning with flexible contextual scopes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.158452Z

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.

Observation 2c792fdd-71ed-4e0c-874a-8eb56fe94f60 · outbound

This paper cites Large language models for scientific dis- covery in molecular property prediction.Nature Machine Intelligence, pages 1–11,.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Large language models for scientific dis- covery in molecular property prediction.Nature Machine Intelligence, pages 1–11,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.139347Z

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.

Observation 3f78e5a2-f550-4e97-9d38-c9e7bd7e97df · outbound

This paper cites A general black-box adversarial attack on graph-based fake news detectors.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems A general black-box adversarial attack on graph-based fake news detectors

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.129189Z

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.

Observation 1b898432-1001-4668-b864-c73c7309f936 · outbound

This paper cites Augment- ing affective dependency graph via iterative incongruity graph learning for sarcasm detection.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Augment- ing affective dependency graph via iterative incongruity graph learning for sarcasm detection

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.223882Z

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.

Observation 94a7ca89-e197-48f5-a42d-ddf98588efb6 · outbound

This paper cites Poisoning gnn-based recommender systems with generative surrogate-based attacks.ACM Trans.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Poisoning gnn-based recommender systems with generative surrogate-based attacks.ACM Trans

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.250208Z

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.

Observation 4330f665-d428-4253-bedb-11929655e904 · outbound

This paper cites Local-global defense against unsupervised adversarial attacks on graphs.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Local-global defense against unsupervised adversarial attacks on graphs

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.291679Z

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.

Observation 2445adbc-92a9-40b4-8ac5-90b0364c4a53 · outbound

This paper cites Lam and John Riedl.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Lam and John Riedl

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.258615Z

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.

Observation e3e2ae6b-2be4-4cb3-80bb-950a1e7a7c7f · outbound

This paper cites Collaborative filtering for implicit feedback datasets.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Collaborative filtering for implicit feedback datasets

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.300249Z

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.

Observation c52265d6-a5ce-465a-82fb-37cf693bb2f4 · outbound

This paper cites P ´erez-Jim´enez.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems P ´erez-Jim´enez

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.384950Z

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.

Observation e6dfdea0-1433-4d34-a1c2-064684767ea7 · outbound

This paper cites Hypergraph attacks via injecting homoge- neous nodes into elite hyperedges.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Hypergraph attacks via injecting homoge- neous nodes into elite hyperedges

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.316460Z

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.

Observation 89159e5c-a38b-4e7c-85a1-718113a66fdb · outbound

This paper cites Unnoticeable backdoor attacks on graph neural networks.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Unnoticeable backdoor attacks on graph neural networks

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.368298Z

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.

Observation 3226d3ce-5993-4452-8aa4-de9488e622de · outbound

This paper cites Motif-backdoor: Rethinking the backdoor attack on graph neural networks via motifs.IEEE Trans.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Motif-backdoor: Rethinking the backdoor attack on graph neural networks via motifs.IEEE Trans

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.148677Z

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.

Observation 246c22fc-eb5a-41b0-a8dc-84f1f4b02378 · outbound

This paper cites Mixed augmentation contrastive learning for graph recommendation system.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Mixed augmentation contrastive learning for graph recommendation system

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.359652Z

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.

Observation e28ae6f3-e5c1-45ab-80aa-6061dde2760c · outbound

This paper cites Understanding structural vulnerability in graph convolutional networks.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Understanding structural vulnerability in graph convolutional networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.376901Z

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.

Observation 0c2df254-8e0b-4b5a-a858-bc13aa24a103 · outbound

This paper cites Session- based recommendations with recurrent neural networks.

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems Session- based recommendations with recurrent neural networks

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:15.308212Z

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.

Pith citing papers

No inbound Pith citation observations are available.