Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:23:12.165437Z
Paper Citation Record · LEDGER
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2509.01660.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T21:00:09.342056Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T21:01:16.163127Z
Reference resolution
22 of 22 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 44c01b38-fda3-4be4-9a29-07c65423ed89 · outbound
This paper cites Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:14.763494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fb26b085-e974-450b-9266-53acd4c764bc · outbound
This paper cites an unresolved cited work.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:23:14.580246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation acae594b-e54c-47d7-81dd-7877b564e21a · outbound
This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:11.005293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96baa19a-bd59-47fa-a703-1e64d5965d63 · outbound
This paper cites In Companion Proceedings of The Web Conference 2018, pages 585–593.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection In Companion Proceedings of The Web Conference 2018, pages 585–593
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:14.370385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 11401ca0-2456-42d4-92d4-ad68ed50da76 · outbound
This paper cites InProceedings of the 33rd ACM International Conference on Information and Knowledge Management, pages 1732–1742.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 33rd ACM International Conference on Information and Knowledge Management, pages 1732–1742
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.960882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5494c314-045e-4e6e-bf20-40a6f03eaebe · outbound
This paper cites InProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 22–32.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 22–32
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.439516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f6be11cc-878a-4ff1-ba9c-3c431acc4ff2 · outbound
This paper cites Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:11.599591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c71a65c-888f-4f7d-ba78-21683d85ac7e · outbound
This paper cites Qwen3 Technical Report.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Qwen3 Technical Report
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:11.755971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 441cb8fe-f8b2-4236-80af-2a943bed070b · outbound
This paper cites InProceedings of the ACM Web Conference 2024, pages 4128–4137.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the ACM Web Conference 2024, pages 4128–4137
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.245098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e4ac3da3-d8fa-4b7f-aa33-a4342c5a8e10 · outbound
This paper cites InProceedings of the ACM Web Conference 2022, pages 2501–2510.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the ACM Web Conference 2022, pages 2501–2510
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.039356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ea0b041-32c2-4821-9aa8-0a9dc794d57a · outbound
This paper cites InProceedings of the Web Conference 2021, pages 3465–3476.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the Web Conference 2021, pages 3465–3476
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:12.872624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 665e264c-0364-4b47-b3b7-c4a382048f1d · outbound
This paper cites InProceedings of the 2024 International Conference on Multimedia Retrieval, pages 385–393.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2024 International Conference on Multimedia Retrieval, pages 385–393
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:12.701322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f30a0fb5-1270-4801-84f4-63056c2a01f8 · outbound
This paper cites Accessed: 2025-01-19.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Accessed: 2025-01-19
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:12.482988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47f407eb-c7de-4ca5-9f03-3f925ba7dd91 · outbound
This paper cites CanyuChenandKaiShu.2023.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection CanyuChenandKaiShu.2023
Reference 1984
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:15.791221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47cae102-6881-4753-916c-e0c2f8e5b924 · outbound
This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1120–1125.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1120–1125
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.631318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4bdb4d42-d3bb-4db3-918d-082185a06c01 · outbound
This paper cites InProceedings of the 2018 World Wide Web Conference, pages 823–831.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2018 World Wide Web Conference, pages 823–831
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:14.956724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0246ae45-3f9c-4f04-a99f-a0e467f5d719 · outbound
This paper cites an unresolved cited work.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Unresolved cited work
Reference 2019
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:23:15.456666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 481c8f1c-6882-4bc8-8600-5d5b71aa9055 · outbound
This paper cites The Llama 3 Herd of Models.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection The Llama 3 Herd of Models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:11.698401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fdae506-18be-499a-927b-4b360b5c728d · outbound
This paper cites InProceedings of the AAAI conference on artificial intelligence, volume 35, pages 81–89.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the AAAI conference on artificial intelligence, volume 35, pages 81–89
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:15.179381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e8633ff-59fe-4849-ad21-c686fd920d8f · outbound
This paper cites https://openai.com/blog/ chatgpt/.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection https://openai.com/blog/ chatgpt/
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:13.782143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 912e2e5a-5309-4e86-bdd8-8a052baf4bf7 · outbound
This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 508–521.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 508–521
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:23:14.190991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29d96d14-81d7-40e9-bffb-8d44c3a1de69 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:10.510091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 679f3341-49cc-4f07-b4d0-db30a37052aa · inbound
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection cites this paper.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.165763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.