Paper Citation Record · LEDGER

Multi-view Fake News Detection Model Based on Dynamic Hypergraph

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.19227.

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

pith.paper-citation-record.v1
2412.19227 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:14.774813Z

measured 27 of 27 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

27 of 27 outbound references displayed

verified exact5
verified fuzzy1
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c867ed8-1a2d-4560-b0c0-6fab16b6c1cc · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 44(5): 2548-2566.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph IEEE Transactions on Pattern Analysis and Machine Intelligence 44(5): 2548-2566

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.619555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d8f8f9a-f311-4401-82d6-b15e5dd4bed5 · outbound

This paper cites In Proceedings of the Twenty- Eighth International Joint Conference on Artificial Intelligence , 2635-2641.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the Twenty- Eighth International Joint Conference on Artificial Intelligence , 2635-2641

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T00:52:14.878369Z

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.

Observation ee492639-b1c0-42ec-84f8-7012be07fd9c · outbound

This paper cites Community Detection in Large Hypergraphs.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Community Detection in Large Hypergraphs

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:15.939878Z

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.

Observation bfb36bd8-9417-444c-907c-252b0dacce39 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelli- gence, 5746–5754.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the AAAI Conference on Artificial Intelli- gence, 5746–5754

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T00:52:14.855257Z

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.

Observation a6a5e8a5-506a-48d3-b3ae-757bc095d192 · outbound

This paper cites GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.665727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a005c562-a2cb-4507-b424-c5c8fdc51cd6 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence, 549–556.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the AAAI Conference on Artificial Intelligence, 549–556

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.672332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0732b496-e6f3-49a6-ac7e-a62eee3ad92a · outbound

This paper cites In Proceedings of the 44th International ACM SIGIR Conference on Research and Develop- ment in Information Retrieval, 2051-2055.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the 44th International ACM SIGIR Conference on Research and Develop- ment in Information Retrieval, 2051-2055

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.678577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc97dea-0d6d-4c9d-a640-4020feb79007 · outbound

This paper cites In Proceedings of the sixteenth ACM interna- tional conference on web search and data mining , 51-59.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the sixteenth ACM interna- tional conference on web search and data mining , 51-59

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.684749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963897d2-e2c6-42e2-a136-a2c93e3e0734 · outbound

This paper cites Learnable Hypergraph Laplacian for Hypergraph Learning.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Learnable Hypergraph Laplacian for Hypergraph Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:15.735892Z

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.

Observation 0b4fc91f-685d-473e-bca2-d0445510e6f5 · outbound

This paper cites In IJCAI ,1923-1929.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In IJCAI ,1923-1929

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:16.199173Z

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.

Observation 0fc00ccd-e936-40a0-9cee-36b22c7cfeb3 · outbound

This paper cites In Proceedings of the 44th International ACM SIGIR Conference on Research and De- velopment in Information Retrieval, 2020-2024.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the 44th International ACM SIGIR Conference on Research and De- velopment in Information Retrieval, 2020-2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.704381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74743a80-3fa7-4b51-8489-d2ab396a8deb · outbound

This paper cites In Proceedings of the ACM Web Conference , 2789 -2797.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the ACM Web Conference , 2789 -2797

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.710680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0002e7cd-b44d-4a0c-aace-2f47f3533d13 · outbound

This paper cites Fake News Detection on Social Media using Geometric Deep Learning.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Fake News Detection on Social Media using Geometric Deep Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.642600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b26681f4-c276-483d-aa6f-4042a918a629 · outbound

This paper cites In Proceedings of the International AAAI Conference on Web and Social Media, 626–637.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the International AAAI Conference on Web and Social Media, 626–637

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.725107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13cde4f-a1ad-4636-9853-20da263e3148 · outbound

This paper cites In Proceedings of the 29th ACM interna- tional conference on information & knowledge management , 1165-1174.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the 29th ACM interna- tional conference on information & knowledge management , 1165-1174

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.731674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a34350-0227-407d-9658-a9b8a1313a7c · outbound

This paper cites In Pro- ceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2253-2262.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Pro- ceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2253-2262

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.738379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7cb233-0756-4ca7-aec1-752f13cea0d1 · outbound

This paper cites Big Data 8(3): 171–188.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Big Data 8(3): 171–188

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.744344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f37cc7d9-3b6e-4f4b-a2c5-2988588d8079 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.750623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce86209-30a4-4216-8cf9-bdc56b1df10f · outbound

This paper cites UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.757295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31685dbf-d67e-4c69-b449-2323df49882f · outbound

This paper cites You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.767261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0476223a-6c03-4c3e-a735-63cc772c8de8 · outbound

This paper cites Pattern Recognition , 110, 107637.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Pattern Recognition , 110, 107637

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.774813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77555913-d0ea-4fcb-85ca-53e1561fd85d · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Representation Learning with Contrastive Predictive Coding

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.718258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5387729f-faec-4b85-9890-9b4088b6c059 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence, 3558–3565.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the AAAI Conference on Artificial Intelligence, 3558–3565

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.631117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f5e5208-98c8-461b-851d-eaf14740b448 · outbound

This paper cites Graph Neural Networks with Continual Learning for Fake News Detection from Social Media.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.648298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cb3917-e707-4e19-9026-0d281d1bf1a2 · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 3347-3363.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 3347-3363

Reference 2021

Resolution: verified exact; doi, observed 2026-08-11T00:52:14.920141Z

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.

Observation bc401031-8520-4653-9f5e-7e81b22a5239 · outbound

This paper cites In Proceedings of the 28th ACM SIGKDD Con- ference on Knowledge Discovery and Data Mining , 2263 -2274.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph In Proceedings of the 28th ACM SIGKDD Con- ference on Knowledge Discovery and Data Mining , 2263 -2274

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.625191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7595af61-5825-4660-a298-f77a3a6f373e · outbound

This paper cites Fake News Detection Through Graph-based Neural Networks: A Survey.

Multi-view Fake News Detection Model Based on Dynamic Hypergraph Fake News Detection Through Graph-based Neural Networks: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:14.613608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.