Paper Citation Record · LEDGER

A Self-Learning Multimodal Approach for Fake News Detection

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.05843.

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

pith.paper-citation-record.v1
2412.05843 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:21:34.268837Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:46.379503Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T01:03:46.746103Z

Reference resolution

38 of 38 outbound references displayed

verified exact2
verified fuzzy28
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef6814d1-3a8c-4af0-8691-00b0d1117cc3 · outbound

This paper cites ACM Multimedia Grand Challenge on Detecting Cheapfakes.

A Self-Learning Multimodal Approach for Fake News Detection ACM Multimedia Grand Challenge on Detecting Cheapfakes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.098296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c329102c-b3aa-47cc-a9d7-ca3a628df9ee · outbound

This paper cites Bagozzi, Rajni Goel, Brunilda Lugo-De-Fabritz, Kelly Knickmeier-Cummings, and Karthik Balasubramanian.

A Self-Learning Multimodal Approach for Fake News Detection Bagozzi, Rajni Goel, Brunilda Lugo-De-Fabritz, Kelly Knickmeier-Cummings, and Karthik Balasubramanian

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.856063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74fc7c31-6301-49fb-90b5-87304fc86b93 · outbound

This paper cites A survey on fake news and rumour detection techniques.

A Self-Learning Multimodal Approach for Fake News Detection A survey on fake news and rumour detection techniques

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.841936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0a3d8b7-f03c-4783-b519-0d1cf77fe5a1 · outbound

This paper cites Language Models are Few-Shot Learners.

A Self-Learning Multimodal Approach for Fake News Detection Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.112691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504aecd0-f4de-4c42-a5ed-a9a2bd1efc97 · outbound

This paper cites Deepfake: An overview.

A Self-Learning Multimodal Approach for Fake News Detection Deepfake: An overview

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.828218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e2d6669-3812-450a-a2fe-e3ec2d414936 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023.

A Self-Learning Multimodal Approach for Fake News Detection Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.814360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af764b95-413e-4155-8486-6b1d52a3fc4b · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language under- standing.

A Self-Learning Multimodal Approach for Fake News Detection Bert: Pre-training of deep bidirectional transformers for language under- standing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.800523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2373de0b-00b3-4695-90cd-375da62204b9 · outbound

This paper cites Multimodal multi-image fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Multimodal multi-image fake news detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.786575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 38aa22b0-1e9d-4350-891b-4e3eff06a7ca · outbound

This paper cites Fake news detection using naive bayes classifier.

A Self-Learning Multimodal Approach for Fake News Detection Fake news detection using naive bayes classifier

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.771271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6808f49-102e-431b-b491-a1582fa0767d · outbound

This paper cites The Future of Misinformation Detection: New Perspectives and Trends.

A Self-Learning Multimodal Approach for Fake News Detection The Future of Misinformation Detection: New Perspectives and Trends

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:21:34.396787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5cd77e63-65f6-4d0a-9146-9b48d652e6d4 · outbound

This paper cites Eyes tell all: Irregular pupil shapes reveal gan-generated faces.

A Self-Learning Multimodal Approach for Fake News Detection Eyes tell all: Irregular pupil shapes reveal gan-generated faces

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.756065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 631bc1bc-05c5-450f-a600-db8e66342857 · outbound

This paper cites Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces.

A Self-Learning Multimodal Approach for Fake News Detection Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:21:34.374238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20fa2869-2f9b-4516-a6d4-36292b737dba · outbound

This paper cites Robust attentive deep neural network for exposing gan-generated faces.

A Self-Learning Multimodal Approach for Fake News Detection Robust attentive deep neural network for exposing gan-generated faces

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.741955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a78fba3-881f-49e6-b491-1b2e852a623c · outbound

This paper cites Fake news detection using deep recurrent neural networks.

A Self-Learning Multimodal Approach for Fake News Detection Fake news detection using deep recurrent neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.727614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3028e5f7-f5a5-43e7-bb1b-2ff658e7e3ed · outbound

This paper cites Cafe: Catastrophic data leakage in vertical federated learning.

A Self-Learning Multimodal Approach for Fake News Detection Cafe: Catastrophic data leakage in vertical federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.713791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cb02b20-fbc6-42d2-87ce-85e4630667a5 · outbound

This paper cites Fndnet – a deep convolutional neural network for fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Fndnet – a deep convolutional neural network for fake news detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.698406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d639aaf2-464f-40eb-a5cb-1698c4bb9dd6 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geometry and semantics.

A Self-Learning Multimodal Approach for Fake News Detection Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.174523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ec480a-0098-4510-82d0-ab584238dfdf · outbound

This paper cites Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models.

A Self-Learning Multimodal Approach for Fake News Detection Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.674021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01e8a46f-5eec-4178-898b-42b3f9a6c3f4 · outbound

This paper cites Large Language Model Agent for Fake News Detection.

A Self-Learning Multimodal Approach for Fake News Detection Large Language Model Agent for Fake News Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.183351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f736c4-1d1d-4a84-b40d-e7612ae43d59 · outbound

This paper cites Fka-owl: Ad- vancing multimodal fake news detection through knowledge-augmented lvlms.

A Self-Learning Multimodal Approach for Fake News Detection Fka-owl: Ad- vancing multimodal fake news detection through knowledge-augmented lvlms

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.659330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5ffcd6c-2a37-4838-9344-4ac1998342ba · outbound

This paper cites Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities.

A Self-Learning Multimodal Approach for Fake News Detection Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.644856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7466fd3-29ad-46ec-ad5d-2042ccf76c4d · outbound

This paper cites Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.630477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa09041d-94dc-42e5-a819-dd6850dbda13 · outbound

This paper cites Fake news detection: A hybrid cnn-rnn based deep learning approach.

A Self-Learning Multimodal Approach for Fake News Detection Fake news detection: A hybrid cnn-rnn based deep learning approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.615751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6316fdd6-105f-4fb5-9324-40dddc776459 · outbound

This paper cites Petrantonakis.

A Self-Learning Multimodal Approach for Fake News Detection Petrantonakis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.601182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e528542-9905-4639-a010-017774026443 · outbound

This paper cites Learning a deep dual-level network for robust deepfake detection.

A Self-Learning Multimodal Approach for Fake News Detection Learning a deep dual-level network for robust deepfake detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.586323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87a562fc-b755-481a-bbc7-756d7c7e5d67 · outbound

This paper cites Exploiting multi-domain visual information for fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Exploiting multi-domain visual information for fake news detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.571942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bcd7629-4e02-4460-ad9f-fd1033a1d4cc · outbound

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

A Self-Learning Multimodal Approach for Fake News Detection Hierarchical multi-modal contextual attention network for fake news detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.558583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c2c55a9-e7b2-46f3-817f-9819e1f31c78 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Self-Learning Multimodal Approach for Fake News Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.223887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cc842f-3b12-4c68-b03a-9bb5d05ddae0 · outbound

This paper cites Spotfake: A multi-modal framework for fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Spotfake: A multi-modal framework for fake news detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.544349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bab84956-8872-476b-bec8-6b383c8b5f95 · outbound

This paper cites Spotfake: A multi-modal framework for fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Spotfake: A multi-modal framework for fake news detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.530428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70c3c2d8-1314-470e-b815-fd042bad12dd · outbound

This paper cites Spotfake: A multi-modal framework for fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Spotfake: A multi-modal framework for fake news detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.516552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f5ae4d1-bace-4f91-897e-2785fb006114 · outbound

This paper cites Adapting Fake News Detection to the Era of Large Language Models.

A Self-Learning Multimodal Approach for Fake News Detection Adapting Fake News Detection to the Era of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.243058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee84248-e7b6-4858-9de0-4707e18188c0 · outbound

This paper cites Sudhakar and K.

A Self-Learning Multimodal Approach for Fake News Detection Sudhakar and K

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.501224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02bfbdc2-8574-4587-9963-75ed9932aa08 · outbound

This paper cites an unresolved cited work.

A Self-Learning Multimodal Approach for Fake News Detection Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:21:34.487428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31e21560-26c5-4768-a832-d0605b47905d · outbound

This paper cites Gan- generated faces detection: A survey and new perspectives.

A Self-Learning Multimodal Approach for Fake News Detection Gan- generated faces detection: A survey and new perspectives

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.472508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 086d3c61-39fc-440d-9b5a-51a132de059b · outbound

This paper cites Eann: Event adversarial neural networks for multi-modal fake news detection.

A Self-Learning Multimodal Approach for Fake News Detection Eann: Event adversarial neural networks for multi-modal fake news detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.457856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e4c7f6a-6b33-4047-974d-2643fd695ac2 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

A Self-Learning Multimodal Approach for Fake News Detection MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T20:21:34.264422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdddd616-c725-4478-ada6-8411501535f7 · outbound

This paper cites A robustly optimized BERT pre-training approach with post-training.

A Self-Learning Multimodal Approach for Fake News Detection A robustly optimized BERT pre-training approach with post-training

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:21:34.443396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation e03d7b1e-dec2-4a01-86a6-9c3d57ed150d · inbound

Robust AI-Generated Face Detection with Imbalanced Data cites this paper.

Robust AI-Generated Face Detection with Imbalanced Data A Self-Learning Multimodal Approach for Fake News Detection

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-16T01:03:46.750096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.