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Paper Citation Record · LEDGER

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.06796.

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

pith.paper-citation-record.v1
2505.06796 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:37:19.165452Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:13:55.391541Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b40500e-7369-4e84-98e3-233640027979 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 507e1058-07cd-45b1-a1c9-8b9e7737ca86 · outbound

This paper cites Mini-internvl: a flexible- transfer pocket multi-modal model with 5% parameters and 90% performance.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Mini-internvl: a flexible- transfer pocket multi-modal model with 5% parameters and 90% performance

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dbfce489-f2fb-4d80-a519-510ffe6c7fdc · outbound

This paper cites [Jin et al., 2017] Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, and Jiebo Luo.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning [Jin et al., 2017] Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, and Jiebo Luo

Reference 6

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation be8609d6-cdac-4445-9741-bb7f141b1543 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for lan- guage understanding.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Bert: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.078885Z digest=sha256:5d421d42dce6b0debd7ab7c37b4bcd2a661502b442b69a878222677e270ea047

Observation 710ccff3-7a5d-4db1-81cd-6968a27f712c · outbound

This paper cites Vilt: Vision-and-language transformer without con- volution or region supervision.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Vilt: Vision-and-language transformer without con- volution or region supervision

Reference 11

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raw_fallback, observed 2026-08-15T22:37:19.486753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3810f3d2-e254-4862-8167-36b87d334f7c · outbound

This paper cites Edge-aware re- gional message passing controller for image forgery lo- calization.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Edge-aware re- gional message passing controller for image forgery lo- calization

Reference 12

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raw_fallback, observed 2026-08-15T22:37:19.475842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.089820Z digest=sha256:50a0a986fa48a4d4f1390412b5dd0184735d856acf0fd315da13225fa387639c

Observation 1348278e-5b23-4c61-a73e-afa6a3f57261 · outbound

This paper cites NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.097519Z digest=sha256:cfc7f2b5e16d796a29fb65b058e465a980484316abf92e7b4e55c072ec356989

Observation 3ae9a215-d683-4eb3-9d10-fcbc69407b72 · outbound

This paper cites Caf-odnn: Com- plementary attention fusion with optimized deep neural network for multimodal fake news detection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Caf-odnn: Com- plementary attention fusion with optimized deep neural network for multimodal fake news detection

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.101163Z digest=sha256:29a734f97cd574febb7bac63821758d0e8ddd727f03052b22c53e5b6f2121a88

Observation 926b2a5f-9172-438d-b8e9-1130297c3562 · outbound

This paper cites Detect rumors using time series of social context information on microblogging websites.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Detect rumors using time series of social context information on microblogging websites

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8c14df53-3879-434a-b009-1efd11e39d0d · outbound

This paper cites [Ma et al., 2019] Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning [Ma et al., 2019] Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 98e938e3-9175-48eb-953a-2cd8884c57eb · outbound

This paper cites Event-radar: Event- driven multi-view learning for multimodal fake news de- tection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Event-radar: Event- driven multi-view learning for multimodal fake news de- tection

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ce95d9a8-629b-4960-ae78-1f473a19664e · outbound

This paper cites Maskfacegan: High resolution face editing with masked gan latent code optimization.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Maskfacegan: High resolution face editing with masked gan latent code optimization

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation da57dff0-ffc7-47aa-9316-318236c54886 · outbound

This paper cites Hierarchical multi- modal contextual attention network for fake news detec- tion.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Hierarchical multi- modal contextual attention network for fake news detec- tion

Reference 20

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raw_fallback, observed 2026-08-15T22:37:19.408620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.118049Z digest=sha256:869f7df295e9c5deaffeff5504bd44b1c6838f87a51439f09b27fa640a05fa82

Observation 0edc1b29-9e70-48ec-9961-bc062ec98ff2 · outbound

This paper cites Language models are unsupervised multitask learners.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Language models are unsupervised multitask learners

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.121312Z digest=sha256:7c38ae36853c22f5153b494624bca062d2b27a0765c1d4c65b70da515e231ab8

Observation 860ec6ac-d840-4b11-bcc5-6afaebf8abcd · outbound

This paper cites Learning transferable visual models from nat- ural language supervision.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Learning transferable visual models from nat- ural language supervision

Reference 22

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Unavailable: canonical work link unavailable.

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Observation bbdb4ffd-0a71-41ac-9cfb-aa111369ee3e · outbound

This paper cites Detecting and grounding multi-modal media manipula- tion.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Detecting and grounding multi-modal media manipula- tion

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.127787Z digest=sha256:29e3f15ac06c6e962fe881ed25f7da4f314846fe4547d7fe27fdd7e5f2289867

Observation 15bde6e9-71a1-4a5e-a2dc-b5d9d2e9c9b5 · outbound

This paper cites Transformer-auxiliary neural networks for image manipulation localization by operator inductions.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Transformer-auxiliary neural networks for image manipulation localization by operator inductions

Reference 24

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raw_fallback, observed 2026-08-15T22:37:19.375243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.130982Z digest=sha256:eb0045e9de82c972fd3c2b99544abc1ae8cf10d0a8621a7af2c51fc7d23adcca

Observation 14c7abb4-1892-49f0-ad8c-36f4271b11f3 · outbound

This paper cites An overview of large ai models and their applications.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning An overview of large ai models and their applications

Reference 25

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raw_fallback, observed 2026-08-15T22:37:19.364892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b9242694-3131-47da-8c16-792e13227345 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning CogVLM: Visual Expert for Pretrained Language Models

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.137962Z digest=sha256:369056cd6b3c5e59d4d0c9373fc700a39d835946f75aba784c57c5fcb3d30338

Observation d7aa0484-dc8c-4355-b70d-b604052d4748 · outbound

This paper cites Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection

Reference 27

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Observation ec68202c-2ec5-4b03-980e-3e6e2d97dc8a · outbound

This paper cites Modality and event adversar- ial networks for multi-modal fake news detection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Modality and event adversar- ial networks for multi-modal fake news detection

Reference 28

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raw_fallback, observed 2026-08-15T22:37:19.354202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1697b125-756a-4e28-8d28-10b90656cc65 · outbound

This paper cites High-resolution face swapping via latent semantics disentanglement.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning High-resolution face swapping via latent semantics disentanglement

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.327486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.151720Z digest=sha256:c6692a9e388f2db3ce4fa1764038ee128bb55ebcea5eb0ecf276517c31a5db07

Observation a606536a-3fb0-4f05-9133-b901ba2177e6 · outbound

This paper cites A latent transformer for disentangled face editing in images and videos.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning A latent transformer for disentangled face editing in images and videos

Reference 31

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raw_fallback, observed 2026-08-15T22:37:19.315281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.155290Z digest=sha256:716f547762fd70ec3e40a8bb0fbad9c18ee5cbeb0a38b5de50bcebc8dd7a6b71

Observation 6eed2fff-e04c-4f62-a9cf-fd99478cb466 · outbound

This paper cites Cross-modal contrastive learning for text-to-image generation.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Cross-modal contrastive learning for text-to-image generation

Reference 32

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raw_fallback, observed 2026-08-15T22:37:19.303104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4f1d6bbb-9749-4a96-8114-647f83ecdf69 · outbound

This paper cites Multi-attentional deepfake detection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Multi-attentional deepfake detection

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.292388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.162040Z digest=sha256:4290d267d1bde0c4229736d326c8c29760bed29c03a16510a574d5c1db1d15da

Observation f1831c64-072b-4ae3-8069-d6ddd6f090bd · outbound

This paper cites Exploiting context for rumour detection in social media.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Exploiting context for rumour detection in social media

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.281380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.165452Z digest=sha256:1d2baa5f1b23a2a9177ccbdd8f2ed5d26e73d2efebe5eddf75c2f3ac4ad820e0

Observation e713fc1f-48e9-40ba-a84e-cce65521eb92 · outbound

This paper cites Visual News: Benchmark and Challenges in News Image Captioning.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Visual News: Benchmark and Challenges in News Image Captioning

Reference 2015

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.093263Z digest=sha256:46e56b0886fd367771b7f65465c49658bee90308ece3f003dbbc706a4d80b8c1

Observation 76dde4ea-bafb-4968-8ff6-1b0b403c4e36 · outbound

This paper cites Alias-free generative adversarial net- works.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Alias-free generative adversarial net- works

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.515983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.071724Z digest=sha256:e0781d41326d91fb5870b70daab261dbd2d98d1b25edbecc38c7a2c35a0348d0

Observation 9404b366-845c-4f5a-9ae4-9e64246d6c6d · outbound

This paper cites Mvae: Multimodal variational autoencoder for fake news detection.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Mvae: Multimodal variational autoencoder for fake news detection

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.497184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.082529Z digest=sha256:2d7a5f15c85262018c959f437cb55606079aa975ba9cf2a7919c97be429ae6d6

Observation 5013a190-0a6f-4686-931d-5c2796955c99 · outbound

This paper cites Tbnet: A two- stream boundary-aware network for generic image manip- ulation localization.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Tbnet: A two- stream boundary-aware network for generic image manip- ulation localization

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.558723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.056900Z digest=sha256:fa97cb13a63e61a9f86299bbe503b50dc16ed5589700e1318faf8623f7f31e47

Observation bed2668b-ccb5-45f2-907b-004ce35d7c16 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 2021

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:19.075111Z digest=sha256:24048437ea8448207c3b9165a501c0242b79aaf64995338f69f92689eb25767f

Observation 6744c31c-b3e5-4828-961f-57ee940ef47c · outbound

This paper cites Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.341911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:37:19.148454Z digest=sha256:a9d3b7a483f6d454ddca4260ba34b3e4f165ae9826fa3cf660b54d49e45798f3

Observation 2b10035b-91a2-43cb-a6b0-d4da30a22d99 · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning The DeepFake Detection Challenge (DFDC) Dataset

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1957ea05-db2a-4062-8035-97aa5d0d62c7 · outbound

This paper cites Denoising diffusion probabilistic models.

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning Denoising diffusion probabilistic models

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-15T22:37:19.537796Z

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Pith citing papers

Observation 98aeaafd-40f9-4484-81c5-dc1d6a51b316 · inbound

D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection cites this paper.

D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T23:13:55.391541Z

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