Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T21:00:09.342056Z
Paper Citation Record · LEDGER
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2512.20670.
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 2026-08-05T06:32:48.257954+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
20 of 20 outbound references displayed
- verified exact7
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d15a0b53-13f0-49d6-a37e-b59d3e1dd881 · outbound
This paper cites Bootstrapping multi-view representations for fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Bootstrapping multi-view representations for fake news detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.952149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 920ed284-12dd-4171-9f40-af0b52e5f8c3 · outbound
This paper cites SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.161079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 679f3341-49cc-4f07-b4d0-db30a37052aa · outbound
This paper cites Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection.
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 2026-08-05T06:32:48.257954+00:00.
Observation 905cb656-960f-4fe5-9b2a-5f77ab59604f · outbound
This paper cites Prompt- induced linguistic fingerprints for llm-generated fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Prompt- induced linguistic fingerprints for llm-generated fake news detection
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.155945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f8ede4b1-30e2-4d34-bc04-3086c91a93f6 · outbound
This paper cites Tension-field theory.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Tension-field theory
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.949243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2edfb621-3bfa-448b-940a-12451d56753b · outbound
This paper cites You only look once: Unified, real-time object detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection You only look once: Unified, real-time object detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.925223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bcfdb5e3-6ca7-452f-bca6-31a7ba8fd3f0 · outbound
This paper cites Senticnet 7: A commonsense-based neurosymbolic ai frame- work for explainable sentiment analysis.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Senticnet 7: A commonsense-based neurosymbolic ai frame- work for explainable sentiment analysis
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.927734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c52b07d-4593-4ee9-9d4b-02340d653d75 · outbound
This paper cites Spotfake: A multi-modal framework for fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Spotfake: A multi-modal framework for fake news detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.930225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78c41225-1812-4dec-b508-57b5c531f70e · outbound
This paper cites Cross- modal ambiguity learning for multimodal fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Cross- modal ambiguity learning for multimodal fake news detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.932850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efe4e9e0-a8d6-4d31-b106-8632bd7b5939 · outbound
This paper cites Mvan: Multi-view attention networks for fake news detection on social media.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Mvan: Multi-view attention networks for fake news detection on social media
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.938047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 43d6bb99-c385-4046-927e-971f0abc24b4 · outbound
This paper cites Eann: Event adversarial neural networks for multi-modal fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Eann: Event adversarial neural networks for multi-modal fake news detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.940439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60cbb533-a99f-46d2-8655-7c475b22ca9a · outbound
This paper cites Multimodal fake news detection via clip-guided learning.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Multimodal fake news detection via clip-guided learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.943096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6581da78-c3e9-40af-aac5-6da8b06c8002 · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.918023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58682c92-f32f-4c90-9313-ae5410bf214f · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection An image is worth 16x16 words: Transformers for image recognition at scale
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.920343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32e9bdab-dab8-423e-affd-77670e0c540b · outbound
This paper cites SAFE: Similarity-Aware Multi-Modal Fake News Detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection SAFE: Similarity-Aware Multi-Modal Fake News Detection
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.136171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65bb5995-37a7-4d68-aec9-b0b97a1b3c0b · outbound
This paper cites Modality interactive mixture-of-experts for fake news detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Modality interactive mixture-of-experts for fake news detection
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.922827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0552a05f-2620-445c-8763-80a0559b5ad5 · outbound
This paper cites KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.145456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 029adf76-8f91-4d50-95f8-e71a763a43f0 · outbound
This paper cites Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.150989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7ea73048-3b1a-4d7a-89ec-82e06826a594 · outbound
This paper cites Masked autoencoders are scalable vision learners.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Masked autoencoders are scalable vision learners
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T21:01:16.935375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa561e56-aabf-4b11-825c-c256c14093d0 · outbound
This paper cites Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:16.140672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.