Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:51.675687Z
Paper Citation Record · LEDGER
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2506.01627.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy31
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c4c2085f-2f07-43f2-b75a-8abf439c7a8b · outbound
This paper cites Informa- tion credibility on twitter.In Proceedings of the 20th international conference on World wide web.2011, pp.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Informa- tion credibility on twitter.In Proceedings of the 20th international conference on World wide web.2011, pp
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.185612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9d5b51f-57e5-4565-b091-77dd27e1a58c · outbound
This paper cites Rumor has it: Identifying misinformation in mi- croblogs.In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Rumor has it: Identifying misinformation in mi- croblogs.In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.174961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81d6a91f-acb1-4d5c-83c2-04ddc61c99d2 · outbound
This paper cites Assessing the credibility of claims on the web.In Proceedings of the 26th International Confer- ence on World Wide Web Companion.2017, pp.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Assessing the credibility of claims on the web.In Proceedings of the 26th International Confer- ence on World Wide Web Companion.2017, pp
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.165094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9e7d08d-35e4-4bf1-94e5-4f2fbcd69b56 · outbound
This paper cites Automatic de- tection of rumor on sina weibo.In Proceedings of the ACM SIGKDD workshop on mining data semantics.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Automatic de- tection of rumor on sina weibo.In Proceedings of the ACM SIGKDD workshop on mining data semantics
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.154621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5abeb163-7e69-4001-8fc7-e5d2dad5d0c6 · outbound
This paper cites Epidemiological modeling of news and ru- mors on twitter.In Proceedings of the 7th workshop on social network mining and analysis.2013, pp.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Epidemiological modeling of news and ru- mors on twitter.In Proceedings of the 7th workshop on social network mining and analysis.2013, pp
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.144137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ebfd236c-8055-449e-9714-862438fe1d5e · outbound
This paper cites Lever- aging the implicit structure within social media for emergent rumor detection,.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Lever- aging the implicit structure within social media for emergent rumor detection,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.133710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a0b995ab-273d-44b1-abb7-2debe07ad7a6 · outbound
This paper cites Detect rumors in microblog posts using propagation structure via kernel learning,.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Detect rumors in microblog posts using propagation structure via kernel learning,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.121676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc869c92-ba5e-43c8-9b1d-c361080c257c · outbound
This paper cites Early detection of fake news on social media through propagation path classifica- tion with recurrent and convolutional networks,.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Early detection of fake news on social media through propagation path classifica- tion with recurrent and convolutional networks,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.111332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4cb72b4-3ed0-474c-baff-301102a664df · outbound
This paper cites CED: credible early detection of social media ru- mors.IEEE Transactions on Knowledge and Data En- gineering.2019.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media CED: credible early detection of social media ru- mors.IEEE Transactions on Knowledge and Data En- gineering.2019
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.101101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbc465e6-753e-4fe8-891f-62fde2bc092e · outbound
This paper cites J., Wong, K.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media J., Wong, K
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.089975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 199a3a50-2d1c-4fc3-9a59-537421f61e30 · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:52.079329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0b20197e-2588-4d22-8849-c660b2e7c88b · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:52.068731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 98138d3b-cd04-4e2e-b9ea-d8789279894c · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:52.059066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4c5d0e6-6fce-45f5-8d15-18a928149071 · outbound
This paper cites A con- volutional approach for misinformation identification.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media A con- volutional approach for misinformation identification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.049166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 19365491-9225-4111-a75b-6415cda3f288 · outbound
This paper cites Call atten- tion to rumors: Deep attention based recurrent neu- ral networks for early rumor detection.In Pacific-Asia conference on knowledge discovery and data mining.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Call atten- tion to rumors: Deep attention based recurrent neu- ral networks for early rumor detection.In Pacific-Asia conference on knowledge discovery and data mining
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.039003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4471feec-f3fa-45a8-b9e4-ec6b4abd171d · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:52.028738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f61328c3-ffd9-4c47-9381-5480c897ea30 · outbound
This paper cites Fake news identification on twitter with hybrid cnn and rnn mod- els.In Proceedings of the 9th international conference on social media and society.2018, pp.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Fake news identification on twitter with hybrid cnn and rnn mod- els.In Proceedings of the 9th international conference on social media and society.2018, pp
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:52.018461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a19caa91-b152-4ab5-9138-a1b255ca8e5c · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:52.007269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b42be414-8205-42bd-9330-f4415fcedee0 · outbound
This paper cites defend: Explainable fake news detec- tion.In:Proceedings of the 25th ACM SIGKDD Inter- national Conference on Knowledge Discovery & Data Mining.2019.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media defend: Explainable fake news detec- tion.In:Proceedings of the 25th ACM SIGKDD Inter- national Conference on Knowledge Discovery & Data Mining.2019
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.996926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4db4e4b-9e59-440f-8e9e-e5a4c3078716 · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:51.986772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b7daa6fc-c683-4822-9b1d-3b28c05f4019 · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:51.976219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ceb7c5b9-d42c-4c57-8c6d-abf8fd703919 · outbound
This paper cites Fake News Detection on Social Media using Geometric Deep Learning.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Fake News Detection on Social Media using Geometric Deep Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:51.578774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7acf7ae1-b212-456d-a282-f066ff39a602 · outbound
This paper cites Graph-based Rumour detection for so- cial media,.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph-based Rumour detection for so- cial media,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.966815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 529f3429-3249-415e-9bd7-4e1e394c4c1b · outbound
This paper cites ”Rumor Detection on Social Me- dia with Bi-Directional Graph Convolutional Net- works.”Proceedings of the AAAI Conference on Arti- ficial Intelligence.V ol.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Rumor Detection on Social Me- dia with Bi-Directional Graph Convolutional Net- works.”Proceedings of the AAAI Conference on Arti- ficial Intelligence.V ol
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.956009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87536cf9-b9b1-4884-96be-d8a4061bfe29 · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:51.945458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60271084-4b1f-48de-9338-50f65c289109 · outbound
This paper cites Ex- ploiting Microblog Conversation Structures to Detect Rumors.Proceedings of the 28th International Con- ference on Computational Linguistics.2020.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Ex- ploiting Microblog Conversation Structures to Detect Rumors.Proceedings of the 28th International Con- ference on Computational Linguistics.2020
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.934080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9c68ad2-cea9-4dab-9119-b0c96ded3139 · outbound
This paper cites ”Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor De- tection.”IEEE Access.2020.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor De- tection.”IEEE Access.2020
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.922709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0be25912-4bed-49bb-95fc-3d547dd1ac08 · outbound
This paper cites R., and Jain, L.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media R., and Jain, L
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.912088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a56d469-c099-4d54-9822-526bac522d79 · outbound
This paper cites ”Learning long-term dependencies with gradient de- scent is difficult.”IEEE transactions on neural net- works5.2 (1994): 157-166.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Learning long-term dependencies with gradient de- scent is difficult.”IEEE transactions on neural net- works5.2 (1994): 157-166
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.901908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad09a8f0-cae1-4836-8d5a-165266d72b3f · outbound
This paper cites LSTM can solve hard long time lag problems.In: Advances in neural information processing systems.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media LSTM can solve hard long time lag problems.In: Advances in neural information processing systems
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.891488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a5ce9619-0914-4635-a6aa-a3a18a8e6fe8 · outbound
This paper cites ”Speech recognition with deep recurrent neu- ral networks.”2013 IEEE international conference on acoustics, speech and signal processing.IEEE, 2013.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Speech recognition with deep recurrent neu- ral networks.”2013 IEEE international conference on acoustics, speech and signal processing.IEEE, 2013
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.881441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f3a10424-d60f-41af-bc04-131bfc92a539 · outbound
This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:51.616485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7eb1495-e802-4087-8123-9cccfd340c2e · outbound
This paper cites ”A neural probabilistic language model.”Journal of machine learning research3.Feb (2003): 1137-1155.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”A neural probabilistic language model.”Journal of machine learning research3.Feb (2003): 1137-1155
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.870095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31ebe1da-b7fc-4476-841f-98763151399b · outbound
This paper cites ”Recurrent models of visual attention.”Advances in neural information processing systems27 (2014): 2204-2212.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Recurrent models of visual attention.”Advances in neural information processing systems27 (2014): 2204-2212
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.858148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 00e866cb-6dc6-45da-95a0-3ef00caba207 · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Neural Machine Translation by Jointly Learning to Align and Translate
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:51.629423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbcf4ca5-77bb-4b38-97a4-97c6a7643887 · outbound
This paper cites ”Attention is all you need.”Advances in neural information processing sys- tems.2017.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Attention is all you need.”Advances in neural information processing sys- tems.2017
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.847164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3a3b3ac-cdaa-480f-9cfb-f198041f46ee · outbound
This paper cites Graph Neural Networks: A Review of Methods and Applications.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph Neural Networks: A Review of Methods and Applications
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:51.637901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a935f9e-18c1-4f51-a7f5-94befbced067 · outbound
This paper cites Graph attention networks,.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph attention networks,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.836136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d8b64d5-c10e-45fc-aead-cd1c0e31373c · outbound
This paper cites ”Rumor detection on twitter with tree-structured recursive neu- ral networks.”Association for Computational Linguis- tics,2018.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Rumor detection on twitter with tree-structured recursive neu- ral networks.”Association for Computational Linguis- tics,2018
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.825912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0903c757-7651-4fc6-b9c4-87a1aa09dae5 · outbound
This paper cites Stance Detection with Bidirectional Conditional Encoding.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Stance Detection with Bidirectional Conditional Encoding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:51.649780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1a8b782-79bb-4ebd-82fa-6bf264ca3bef · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:51.813367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac9bd9da-ddbb-4b94-94e5-2d6d8d50dfdd · outbound
This paper cites ”Csi: A hybrid deep model for fake news detection.” Proceedings of the 2017 ACM on Conference on Infor- mation and Knowledge Management.2017.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Csi: A hybrid deep model for fake news detection.” Proceedings of the 2017 ACM on Conference on Infor- mation and Knowledge Management.2017
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.801756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ec604ca-dac8-44c7-b913-a3592c848443 · outbound
This paper cites an unresolved cited work.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:42:51.790999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eb14597d-cd39-44df-8df9-6271f9f1ca1c · outbound
This paper cites Rumor detection with hierarchical so- cial attention network.Proceedings of the 27th ACM International Conference on Information and Knowl- edge Management.2018.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Rumor detection with hierarchical so- cial attention network.Proceedings of the 27th ACM International Conference on Information and Knowl- edge Management.2018
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.780449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 033c664e-a918-451d-934e-06eb925c5ca5 · outbound
This paper cites ”Spatial temporal graph convolutional networks for skeleton- based action recognition.”Proceedings of the AAAI conference on artificial intelligence.V ol.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media ”Spatial temporal graph convolutional networks for skeleton- based action recognition.”Proceedings of the AAAI conference on artificial intelligence.V ol
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.769713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5b6b9021-0da4-407a-ac5a-ee23a2496692 · outbound
This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.In- ternational Conference on Learning Representations.
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.In- ternational Conference on Learning Representations
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:42:51.758614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.