Paper Citation Record · LEDGER

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.12894.

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

pith.paper-citation-record.v1
2505.12894 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:30:54.956706Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy33
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d236f0fb-eebb-4b0c-977b-3a0a6731a553 · outbound

This paper cites EPA: Exoneration and prominence based age for infection source identification.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion EPA: Exoneration and prominence based age for infection source identification

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.504881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d0793c9-89e0-4608-a444-d43efaa63ff7 · outbound

This paper cites On visual similarity based 3d model retrieval.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion On visual similarity based 3d model retrieval

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.424641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2e77ffe-d9c2-4367-aac5-58a431d87eea · outbound

This paper cites Efficient source detection in incomplete networks via sensor deployment and source approaching.IEEE Transactions on Information Forensics and Security,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Efficient source detection in incomplete networks via sensor deployment and source approaching.IEEE Transactions on Information Forensics and Security,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.410908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b769edb3-0f89-4a6c-923c-635feb5a07cb · outbound

This paper cites Social contagion models on hypergraphs.Physical Review Research, 2(2):023032,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Social contagion models on hypergraphs.Physical Review Research, 2(2):023032,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.369485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6035bdc-9a1a-4d87-80c1-f3b3b43f961f · outbound

This paper cites Multiple ru- mor source detection with graph convolutional networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Multiple ru- mor source detection with graph convolutional networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.355907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8865c4cc-94b7-47c1-a39c-af67933d876c · outbound

This paper cites Wavefront- based multiple rumor sources identification by multi-task learning.IEEE Transactions on Emerging Topics in Com- putational Intelligence, 6(5):1068–1078,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Wavefront- based multiple rumor sources identification by multi-task learning.IEEE Transactions on Emerging Topics in Com- putational Intelligence, 6(5):1068–1078,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.341778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea73ff60-d67d-49d7-9072-b2a0ffaf25c3 · outbound

This paper cites Unveiling implicit deceptive patterns in multi-modal fake news via neuro-symbolic reasoning.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Unveiling implicit deceptive patterns in multi-modal fake news via neuro-symbolic reasoning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.327462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5279942c-4784-4a9e-8951-e329a71f0c41 · outbound

This paper cites Hypergraph neural networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Hypergraph neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.312646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 794c0feb-df7e-451e-bbb8-13aabb13487c · outbound

This paper cites HGNN+: General hypergraph neural networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion HGNN+: General hypergraph neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.298722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b99e902-4ea9-4638-ae59-8ea0e8bc45a5 · outbound

This paper cites Unignn: a unified framework for graph and hypergraph neural net- works.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Unignn: a unified framework for graph and hypergraph neural net- works

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.283283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 179c6a5f-c6b1-4d4f-a3b4-50f74c5dd011 · outbound

This paper cites Enhancing multi-scale diffusion prediction via sequential hypergraphs and adver- sarial learning.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Enhancing multi-scale diffusion prediction via sequential hypergraphs and adver- sarial learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.268374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0747e321-2693-4ede-bc59-ea1598649c58 · outbound

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

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Local-global de- fense against unsupervised adversarial attacks on graphs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.254447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation daec2bc8-eb3e-4a92-87f7-8d032683f13f · outbound

This paper cites Source localization of graph diffusion via variational autoencoders for graph inverse problems.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Source localization of graph diffusion via variational autoencoders for graph inverse problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.209707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c02d3e4-3b92-4a63-ae2e-a77ea1b20bc7 · outbound

This paper cites Locating the source of diffusion in large-scale networks.Physical Review Letters, 109(6):068702,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Locating the source of diffusion in large-scale networks.Physical Review Letters, 109(6):068702,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.194691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 893376fb-d244-42c4-8c57-eb1fb318cf6f · outbound

This paper cites Rumors in a network: Who’s the culprit?IEEE Transac- tions on Information Theory, 57(8):5163–5181,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Rumors in a network: Who’s the culprit?IEEE Transac- tions on Information Theory, 57(8):5163–5181,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.165017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc7a1b09-a765-4f39-9c84-072e2fb9cc1e · outbound

This paper cites Graph attention networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Graph attention networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.149661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 870eeb6d-0e08-4a85-acba-da560777d952 · outbound

This paper cites Multiple source detection without knowing the underlying propagation model.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Multiple source detection without knowing the underlying propagation model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.134382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a554e09-b6ec-4db4-8203-00713d8d3440 · outbound

This paper cites An invertible graph diffusion neural network for source localization.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion An invertible graph diffusion neural network for source localization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.117926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 968beac8-4a2e-474c-9512-80656099d2ae · outbound

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

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Elevating knowledge-enhanced entity and relation- ship understanding for sarcasm detection.IEEE Transac- tions on Knowledge and Data Engineering,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:54.931198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0171e765-c7d5-4044-bd86-ad1920d2f29e · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion 3d shapenets: A deep representation for volumetric shapes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.093058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9629dd07-b8ea-4132-a760-7f033d8d2b36 · outbound

This paper cites Locating the propaga- tion source in complex networks with a direction-induced search based gaussian estimator.Knowledge-Based Sys- tems, 195:105674,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Locating the propaga- tion source in complex networks with a direction-induced search based gaussian estimator.Knowledge-Based Sys- tems, 195:105674,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.060295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2043f2f7-9034-447b-9674-d110d9e836c8 · outbound

This paper cites Learning with hypergraphs: Clus- tering, classification, and embedding.Advances in Neural Information Processing Systems, 19,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Learning with hypergraphs: Clus- tering, classification, and embedding.Advances in Neural Information Processing Systems, 19,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.044576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc71d145-5daf-44d6-864f-59af586c1765 · outbound

This paper cites Locating multi-sources in social networks with a low infection rate.IEEE Transactions on Network Science and Engineering, 9(3):1853–1865, 2022.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Locating multi-sources in social networks with a low infection rate.IEEE Transactions on Network Science and Engineering, 9(3):1853–1865, 2022

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.011431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e8d6536-4365-45a7-a8f7-118f16e88218 · outbound

This paper cites Catch’em all: Locating multiple diffusion sources in net- works with partial observations.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Catch’em all: Locating multiple diffusion sources in net- works with partial observations

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.028241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8f718ca-2e0d-4f3d-8e73-926f3a17bdba · outbound

This paper cites Hypergraph convolution and hypergraph attention.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Hypergraph convolution and hypergraph attention

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.466531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b46835a8-348d-472e-b0f8-14365feb9aa4 · outbound

This paper cites Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Finding Patient Zero: Learning Contagion Source with Graph Neural Networks

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:54.912834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf005180-24b5-48eb-9d8d-3abdf37d3ef0 · outbound

This paper cites Spotting culprits in epidemics: How many and which ones? In2012 IEEE 12th International Conference on Data Mining, pages 11–20.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Spotting culprits in epidemics: How many and which ones? In2012 IEEE 12th International Conference on Data Mining, pages 11–20

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.179796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ba40ee1-2c95-4416-9ace-48d115af44d4 · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Hypergcn: A new method for training graph convolutional networks on hypergraphs

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.075719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4086203-b92a-4fa3-970e-760cd2caeaef · outbound

This paper cites Propagation source identification of infec- tious diseases with graph convolutional networks.Journal of Biomedical Informatics, 116:103720,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Propagation source identification of infec- tious diseases with graph convolutional networks.Journal of Biomedical Informatics, 116:103720,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.224338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae2d744f-14cb-49bd-88a7-6c747fec2335 · outbound

This paper cites Clustering in graphs and hypergraphs with cate- gorical edge labels.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Clustering in graphs and hypergraphs with cate- gorical edge labels

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.490224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be72848b-66bd-4c68-8a5d-cd9ee583a601 · outbound

This paper cites Uci machine learning repository,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Uci machine learning repository,

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:54.809065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c64cca-116f-4132-bb24-52faa6d87fa6 · outbound

This paper cites Graph contrastive learning for source localization in social networks.Information Sci- ences, page 121090,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Graph contrastive learning for source localization in social networks.Information Sci- ences, page 121090,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.453471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7597d936-1201-4973-ac07-8b7bafaf0f6d · outbound

This paper cites Generative hypergraph clustering: From blockmodels to modularity.Science Advances, 7(28):eabh1303,.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Generative hypergraph clustering: From blockmodels to modularity.Science Advances, 7(28):eabh1303,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.382664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fb0bf86-dd81-4fef-bf31-8ce521d3b26b · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Semi-supervised classification with graph convolutional networks

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.239387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 096471b9-5a21-45a1-8b9f-34817cd49a9e · outbound

This paper cites Networks beyond pairwise interactions: Structure and dynamics.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion Networks beyond pairwise interactions: Structure and dynamics

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.439437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0847027a-c043-4b7f-94b4-849714907fb1 · outbound

This paper cites You are allset: A multiset function framework for hypergraph neural networks.

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion You are allset: A multiset function framework for hypergraph neural networks

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.396789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.