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Paper Citation Record · LEDGER

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2501.08514.

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

pith.paper-citation-record.v1
2501.08514 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:27:14.194749Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:32:59.057947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:54:43.716531Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact4
  • verified fuzzy29
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eb668e6-7ab7-4eb3-bbf3-995af7eb375e · outbound

This paper cites Combating online misinformation videos: Characterization, detection, and future directions.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Combating online misinformation videos: Characterization, detection, and future directions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:16.013587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.387028Z digest=sha256:6c290a52c322203860dd03308449d2948f91f8cde727de72bab6a1f941789b54

Observation a2199f05-82ef-45b5-98f0-9b0541620dbe · outbound

This paper cites Using topic modeling and adversarial neural networks for fake news video detection.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Using topic modeling and adversarial neural networks for fake news video detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.977862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.398519Z digest=sha256:d6550d452a13934dd5546aa0b53bc24f61dc875343679d576f2f2d69b0931893

Observation 0df21382-615f-4652-9d7b-7a97470bbe14 · outbound

This paper cites Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:27:14.756408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.413531Z digest=sha256:10f379ef00230daa83145dab3c32b61691e80a269f1f9fa425209e1957770206

Observation bb52d56e-a46a-42c1-b159-04ca2c31b66f · outbound

This paper cites Meteor universal: Language specific translation evaluation for any target language.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Meteor universal: Language specific translation evaluation for any target language

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.947765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.439896Z digest=sha256:95a283a63d12d7e76fdb957487f5a6cff100bd55904339fe77b215dc9be1637b

Observation f296d45b-63c1-4b96-a17a-44e2e9799ca9 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

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unresolved
no resolver link, observed 2026-08-10T20:27:13.470639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.470639Z digest=sha256:c976913ce61e332ccbef38d946f9df5d61a59fa1f32d2ff490191934dbb29564

Observation 3e2aa513-92c0-428c-87de-c08c8327d497 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.478455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.478455Z digest=sha256:d8a26d5775fbaf4fc29cc2dd0b7890fcb5e190fab8c59b6eb9c32467ca672b24

Observation 1ca9cb67-8504-42ea-865b-80a9a8491618 · outbound

This paper cites Market quavers after fake ap tweet says obama was hurt in white house explosions.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Market quavers after fake ap tweet says obama was hurt in white house explosions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.906840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.493771Z digest=sha256:4548b784f873a05990eb57b4fc211d5cd00886adb34091485ab7710556e85753

Observation dece344b-dcf1-4c6f-90ce-a4a459a7190f · outbound

This paper cites Measuring nominal scale agreement among many raters.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Measuring nominal scale agreement among many raters

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.818524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.516102Z digest=sha256:fe3d2cc2a05ef703e407dab8b996ec59a518d7a53094ed2ccd7a771b7f3a39ac

Observation 2aa7412d-3ee8-4eec-a930-d4e87fc7dbe3 · outbound

This paper cites A novel method for detecting misinformation in videos, utilizing reverse image search, semantic analysis, and sentiment comparison of metadata.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation A novel method for detecting misinformation in videos, utilizing reverse image search, semantic analysis, and sentiment comparison of metadata

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.778649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.544749Z digest=sha256:98f1aa8c309eacc7fad9c97a37fa12f581ab92168ab4f55eb98d79dffece644f

Observation 78ba0d4c-547a-48ca-8bdd-718f1df93a15 · outbound

This paper cites Generating visual explanations.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Generating visual explanations

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.733063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.580287Z digest=sha256:bc892261bebc1a44e61a47b02b2353564a2f3341755c35d4ca4cc90f951be23b

Observation 774243fd-17e3-47a4-8789-1acd3997e52b · outbound

This paper cites Towards automatic detection of misinformation in online medical videos.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Towards automatic detection of misinformation in online medical videos

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.709927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.597658Z digest=sha256:32be01657b3f03143fc1efbc3f8df8ad731b5afe1fd014d0ac6ea6dbb1cbb8b5

Observation deb1c91d-5f12-44b9-b186-51d41e37ec7c · outbound

This paper cites Misinformation Detection on YouTube Using Video Captions.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Misinformation Detection on YouTube Using Video Captions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.624759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.624759Z digest=sha256:40883c74a82640f0854cf3c7c3898884801a17b7daaa4714d9ff9a5e7d513360

Observation 195d411b-a7ed-4d33-b687-983b73acfb45 · outbound

This paper cites e-vil: A dataset and benchmark for natural language explanations in vision-language tasks.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation e-vil: A dataset and benchmark for natural language explanations in vision-language tasks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.667252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.646385Z digest=sha256:9a2ce9d4dbfbd09d5f44ee23b2f67184c27804df38b477c5780d128137fe69f8

Observation 3bf5265d-d61e-4566-b1dc-78836de4bf79 · outbound

This paper cites Textual explanations for self-driving vehicles.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Textual explanations for self-driving vehicles

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.646386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.674762Z digest=sha256:8b8238a1ddd103da06d0ebe0144256c99bce5abd2bfa71fc182e6c3c6d1d5f6d

Observation cb27c707-afa4-4b9c-91b1-3b62601ab522 · outbound

This paper cites Richard Landis and Gary G.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Richard Landis and Gary G

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.590789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.697433Z digest=sha256:e9f253dbe3acc821dbc2cd123e3cfd0d2f73aa4b52d9cadc81eb0d5c4a6ab710

Observation c84d1150-e27c-4809-982c-4295d4c748ad · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.705037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.705037Z digest=sha256:38db205e73aba3835428a8ea6834699aec6a08339b08b12f74801d8cc3396261

Observation 39bc7bf7-5d24-4f5a-ade9-7762dc51fb11 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Rouge: A package for automatic evaluation of summaries

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.714603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.714603Z digest=sha256:7f07113845644b491905daae1d1af0d6f0ac0adbfc0d5661018774ff697afe3f

Observation d3c961b2-7792-4f52-84cf-d2d335ddc0f6 · outbound

This paper cites COVID-VTS: Fact Extraction and Verification on Short Video Platforms.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation COVID-VTS: Fact Extraction and Verification on Short Video Platforms

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:27:14.525686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.728644Z digest=sha256:80d4d7c023f95848ceb48efefbf3400c460c309e422e16cc2cba9a53a3cd08cd

Observation be6b3273-953d-4b86-98ad-db49e70072de · outbound

This paper cites Fixing weight decay regularization in adam.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Fixing weight decay regularization in adam

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.509297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.744778Z digest=sha256:94984b39a3c528c6a8419cf64f2c53d3c4dc06fb7b8e1fdf91440c0ebb8b33b7

Observation 680e25dd-7fcb-456b-a666-af2079bc6c22 · outbound

This paper cites Explainable ai approach towards toxic comment classification.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Explainable ai approach towards toxic comment classification

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.459047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.751375Z digest=sha256:b6e7742e2fc7c52d7ec2baa1b290a9242e9de816fe213f8b4186956e17d2f3fb

Observation c0004379-1a72-44ef-88e8-8bd64456b3f3 · outbound

This paper cites Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:27:14.455182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.755003Z digest=sha256:d0697eca87c170fc7ae18990c814d2a9ea1789a1f9452195e2d7ad978f5f7366

Observation 8bf1df66-7172-42ee-b4ce-683cbc65a70f · outbound

This paper cites Multi-modal semantic inconsistency detection in social media news posts.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Multi-modal semantic inconsistency detection in social media news posts

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.433048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.758820Z digest=sha256:6a7f42ee4ec48e20e568e1a53b46798b9097b3d7cf7cee8a8d7d52db046304fe

Observation dfcbd09d-5127-42d5-aab2-f3686ed9bd24 · outbound

This paper cites The covid-19 ‘infodemic’: a new front for information professionals.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation The covid-19 ‘infodemic’: a new front for information professionals

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.393728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.763638Z digest=sha256:358ea9958ed768cc3a986ddacf9b8a56027063dbc2abe0cad66af764a53399b9

Observation 3efb3d57-2ea1-4ac1-a295-0a3be8a28d91 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Bleu: a method for automatic evaluation of machine translation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.365330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.794756Z digest=sha256:19165b9042744b4e0ae49767425652679df224cdef934a03e55ff11035093dd3

Observation 15bf184e-8a3b-4d1b-b60d-f92b12e1e00c · outbound

This paper cites Toward safer highways, application of xgboost and shap for real-time accident detection and feature analysis.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Toward safer highways, application of xgboost and shap for real-time accident detection and feature analysis

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.344195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.817355Z digest=sha256:93ef39d11c35aba14a268ae7383578b2bf87e947a6154db7bad85fcffc843eeb

Observation 38d6016a-a4d8-4625-a52e-1e234f64af86 · outbound

This paper cites Detecting Harmful Memes and Their Targets.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Detecting Harmful Memes and Their Targets

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.835795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.835795Z digest=sha256:b28ca69953da130a01e2f694b145b41d6e6266f57a11b2aed7e72fc2c9a9b537

Observation 13918fb7-9bac-4ff1-a866-24bb5b8ca78d · outbound

This paper cites Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.314261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.840326Z digest=sha256:2b1f7ce53fa925d17b1581a83a9315ded5ae6071c20dea549e89a825b3488a89

Observation b7822222-7375-4d43-b04d-f9dbe3fbaa11 · outbound

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

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Hierarchical multi-modal contextual attention network for fake news detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.291612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.849108Z digest=sha256:e40705b09b948292e36337921f18537b646ecf745bee0c986709021088871d86

Observation 44e8b4d1-6e9b-4857-b1a7-f21849ce6817 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Learning transferable visual models from natural language supervision

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.862517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.862517Z digest=sha256:3797cc3b736a28ff4d690e062d9f78548436cb6b4f7a8a60f07b8af6bce06c9a

Observation 386410e1-b118-498b-b5a5-7007f7c52bc3 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.250465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.894754Z digest=sha256:c611730fd4256121af9ef97676bdb40e622c22b321db162fb3c0a2b761cf8aa9

Observation ba23b667-cd2e-4b53-a70f-31309bda2139 · outbound

This paper cites Nlp-based feature extraction for the detection of covid-19 misinformation videos on youtube.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Nlp-based feature extraction for the detection of covid-19 misinformation videos on youtube

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.204822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.934752Z digest=sha256:ebb2856bccdd9cf32bc2f4f3292f7096115060403929cc39dfd8659bc6a631e3

Observation 1e857065-257d-47c9-8e1f-fb1cb4e8a792 · outbound

This paper cites A multimodal misinformation detector for covid-19 short videos on tiktok.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation A multimodal misinformation detector for covid-19 short videos on tiktok

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.170516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.956079Z digest=sha256:ffadd80b71ab0e6097955fdcb5a79f3187ead524f717a7ebd89582b4887c356a

Observation 36ff2a8b-e4be-49ab-9298-4b59435a3f0d · outbound

This paper cites Seeing is believing: Is video modality more powerful in spreading fake news via online messaging apps? Journal of Computer-Mediated Communication , 26(6):301--319, 2021.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Seeing is believing: Is video modality more powerful in spreading fake news via online messaging apps? Journal of Computer-Mediated Communication , 26(6):301--319, 2021

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:15.084768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:13.967477Z digest=sha256:a8c30f5c47ccd166a5a2c27283305223bee58a8fd9e33d39303bd002d1336f27

Observation 20a4a4a7-3c3c-427e-92f5-5ed4488099b3 · outbound

This paper cites Attention is all you need.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Attention is all you need

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:13.993482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:13.993482Z digest=sha256:b6d6db1f9a4b4be0fbb734e411fc05a58df83ee9532755fee9f19fe492edcf7d

Observation 6053c5f3-0472-49d2-bb77-3efed986ce63 · outbound

This paper cites Cider: Consensus-based image description evaluation.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Cider: Consensus-based image description evaluation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.984781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.017206Z digest=sha256:e4f22375ac7fb52d1a48e70bce877ee806d21aa5b1173877a349222004c10b80

Observation acc2e23e-14bf-4873-bf55-68dee3d30c9c · outbound

This paper cites The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T20:27:14.035386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:27:14.035386Z digest=sha256:90a27f2eb87cec1e767f0b0353495277057067d4cc0892163ce3b1e015cb2b66

Observation 8daf8027-27ad-4de5-9503-c8376c94b9f1 · outbound

This paper cites Zhao, John Canny, and Avideh Zakhor.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Zhao, John Canny, and Avideh Zakhor

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.941881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.057349Z digest=sha256:c8e103b38261d3fe0696419f6ed4cb58bbe7b7981cd9e8f5b92fb03feef49b45

Observation 2f26de7d-2c70-41e0-8755-374db50862f2 · outbound

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

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Eann: Event adversarial neural networks for multi-modal fake news detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.901701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.074750Z digest=sha256:d070568f31eac42214289992ec00f6bba8151ccb338e89dca941a29c5141219f

Observation 9dd459cd-9bd3-4236-b9cc-67748362de78 · outbound

This paper cites The (minimal) persuasive advantage of political video over text.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation The (minimal) persuasive advantage of political video over text

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.873070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.120456Z digest=sha256:ef6e45533d1525ff40ce556e1bd31a7c85393bdc39cb02b29f6173425846b4fa

Observation 175df4e1-27f3-43d8-9960-76cd0dba4edd · outbound

This paper cites KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:27:14.349790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.138165Z digest=sha256:d3eac3925c7e400a3679a275e5ac6def820e8795c0de4308d886ca042d73bdb1

Observation 414ea353-d95a-48b4-91f8-22117815a26b · outbound

This paper cites Multimodal transformer for multimodal machine translation.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Multimodal transformer for multimodal machine translation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.832543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.174753Z digest=sha256:6ae1b0e4312eb91972188561cade18597725fffa5eb7888f68932aa3123cd55c

Observation cb315b25-0b12-47d8-88cf-9c7afc6f90c0 · outbound

This paper cites Multi-modal fake news detection on social media via multi-grained information fusion.

Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation Multi-modal fake news detection on social media via multi-grained information fusion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:27:14.799933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T20:27:14.194749Z digest=sha256:fbfc0df743bab911fa3589590c0e6adc902e22b2c4c064e1f5011cafd5433539

Pith citing papers

Observation 15ec5d6f-4f1a-4523-aacd-03731498da5b · inbound

A New Dataset and Benchmark for Grounding Multimodal Misinformation cites this paper.

A New Dataset and Benchmark for Grounding Multimodal Misinformation Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:59.057947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:32:59.057947Z digest=sha256:7887a0282dad1100b14b78cc21a7d9aafeb288fcdf4c0eedd550f6b905bcb4f1

Observation 8893b0dd-77ce-4749-a521-eca9adae9cce · inbound

Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes cites this paper.

Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:54:43.718078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:54:16.305587Z digest=sha256:72a40a242d4565a1d414f61aa8d4b473d4725e2dc46aac8ab9073a30e350a0ac