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Paper Citation Record · LEDGER

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2411.10032.

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

pith.paper-citation-record.v1
2411.10032 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:07:09.654496Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:32:59.134733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:32:59.170759Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f60c0470-3f41-4b1f-a3c6-54a8df69d549 · outbound

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

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms,

Reference 1

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raw_fallback, observed 2026-08-12T20:07:10.338656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.561653Z digest=sha256:f303a8657979d0a8aa135e110c95eab72adccc6e37dc2e9e65f6c282f36b65af

Observation 04b3b27e-9014-4ba0-b3e4-df6fc7b03bbc · outbound

This paper cites News use across social media platforms 2018,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos News use across social media platforms 2018,

Reference 2

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raw_fallback, observed 2026-08-12T20:07:10.331541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.565056Z digest=sha256:c96d38e0b91d8e4860057e932805694713188bad15c025d9a27d1dd1e8076922

Observation 3b3c3856-efd8-4417-922e-976c0d995ed1 · outbound

This paper cites This analysis shows how viral fake election news stories outperformed real news on facebook,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos This analysis shows how viral fake election news stories outperformed real news on facebook,

Reference 3

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raw_fallback, observed 2026-08-12T20:07:10.322756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.568043Z digest=sha256:b2cf81cafd2c96d1968cad4a8841fe192cf8542a6ce5c338ae6d6325e20ce474

Observation 54cb8dfe-665d-4813-a86e-fa3b55e7ce5c · outbound

This paper cites Bogus ap tweet about explosion at white house wipes billions off us markets,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Bogus ap tweet about explosion at white house wipes billions off us markets,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-12T20:07:10.143444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.570914Z digest=sha256:744a920e1ff6613bd31435d0ed3abb41f24a6744479d1bc08cc0560a9e4a9086

Observation 9ffb794b-40c4-454b-ace4-c429c270d91d · outbound

This paper cites As mob lynchings fueled by whatsapp sweep india, authorities struggle to combat fake news,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos As mob lynchings fueled by whatsapp sweep india, authorities struggle to combat fake news,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.315402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.573664Z digest=sha256:d7f3ff97455f2f29cd4387301991e4b487605d85bdc49511072b676db480f58c

Observation f0b2e5fe-4a6f-4898-8a48-6a4915c5066b · outbound

This paper cites New insights into the social rumor characteristics during the covid- 19 pandemic in china,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos New insights into the social rumor characteristics during the covid- 19 pandemic in china,

Reference 6

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raw_fallback, observed 2026-08-12T20:07:10.308109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.576350Z digest=sha256:4514e4a6449c422ee81db86d0d98cf7fd6f6b396026fba124e2e90fcaed58e33

Observation 075ec3b1-0435-4482-b78c-bc460431a4f9 · outbound

This paper cites Understanding user profiles on social media for fake news detection,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Understanding user profiles on social media for fake news detection,

Reference 7

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raw_fallback, observed 2026-08-12T20:07:10.300489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.581804Z digest=sha256:b0895fd7ccaebc24698bb5a25af8dc577e77fb153aad60422752bf5fc1943ffe

Observation b4113441-2700-4138-81c1-69dc146931b4 · outbound

This paper cites Invid verification plugin,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Invid verification plugin,

Reference 8

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raw_fallback, observed 2026-08-12T20:07:10.292921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.584405Z digest=sha256:83ba635e4570c427b6dfd03e0f71889165e4d84a849642625c1c9f404be26be6

Observation 6149293a-bf91-4079-89c1-b27e87d2c9a4 · outbound

This paper cites Information credibility on twitter,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Information credibility on twitter,

Reference 9

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no resolver link, observed 2026-08-12T20:07:09.586953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.586953Z digest=sha256:def78d88c18298401ce98b7dc29e9bcf71bb3d33b7800df029034df3b52ec614

Observation e222f4f8-b0f4-4612-9b04-e7b53ad1e587 · outbound

This paper cites Detecting fake news by image analysis,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Detecting fake news by image analysis,

Reference 10

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unresolved
no resolver link, observed 2026-08-12T20:07:09.589460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.589460Z digest=sha256:26b088d61632b9bcc7309916083d62a935789c894f831321a26411e884dc99d5

Observation 2760379e-e95b-4953-b95d-5f7ab303af14 · outbound

This paper cites defend: Explainable fake news detection,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos defend: Explainable fake news detection,

Reference 11

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no resolver link, observed 2026-08-12T20:07:09.592052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.592052Z digest=sha256:1fae7b3256f6786f3d03f764dd7f0b9823670c0df0a613d1e99e2346a59a5f69

Observation 5b6ecbbd-2173-4024-bc51-2e2a4edf740e · outbound

This paper cites Sentiment aware fake news detection on online social networks,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Sentiment aware fake news detection on online social networks,

Reference 12

Resolution
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raw_fallback, observed 2026-08-12T20:07:10.285327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.594701Z digest=sha256:af888d3eff469148c1d86fad8bd44943291294debf710280b775109a52d3577f

Observation d665580e-ac74-4c31-941f-18acd33462fc · outbound

This paper cites Rumor detection with diverse counterfactual evidence,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Rumor detection with diverse counterfactual evidence,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.277412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.597171Z digest=sha256:b57a78ade35656986ce9ec27875d422557eeb92d5ce777d344771a6364e02e07

Observation 33f0bce5-2528-4046-a689-bfa569f12a69 · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Robust speech recognition via large-scale weak supervision,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.269891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.599721Z digest=sha256:6de4d0df9c3f1152a8a4019327f70780e9ca7236a7ff12f058c308c4fc9f1374

Observation d2cbc5b1-f6f4-40db-89a9-78737d6d5a7d · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos CogVLM2: Visual Language Models for Image and Video Understanding

Reference 15

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no resolver link, observed 2026-08-12T20:07:09.602423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.602423Z digest=sha256:c5fd1f20f7dd8e6322d247e4ae560c3c5fc6dd80ff91b00a5e664150e0c2fe3d

Observation 17eac08c-c76c-426f-b499-36269b81a28e · outbound

This paper cites Video Subtitle Extractor,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Video Subtitle Extractor,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.262377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.605422Z digest=sha256:dc7f34b2124f8237cf751d59a6d8c4a3e5001db4dcb9434dda9d01fdcf886dde

Observation 1afa01c5-a735-429c-8081-c7f37b1e44e5 · outbound

This paper cites Interpretable short video rumor detection based on modality tampering,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Interpretable short video rumor detection based on modality tampering,

Reference 17

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raw_fallback, observed 2026-08-12T20:07:10.255035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.607805Z digest=sha256:d4e5b0ad99175d8c6abe2935983a69290bd265f7d79ea4c0b676fabe1345702d

Observation 7e11a31a-fed4-426b-b05d-89fce846a6eb · outbound

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

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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no resolver link, observed 2026-08-12T20:07:09.610215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.610215Z digest=sha256:9bfb7c55d4306256d102a4e662ede2f664763f0dd26d5e8eda993431c307e4e5

Observation 8af240f9-0f13-4465-97d9-40cdb4498955 · outbound

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

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Towards automatic detection of misinformation in online medical videos,

Reference 19

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verified exact
doi, observed 2026-08-12T20:07:09.676711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.612939Z digest=sha256:616e7f995d2943a423a29f8c3eb1eb8dda18ff9ba6e4791fa725929e0e997191

Observation 31c59481-e501-4597-b77b-92c0eec80955 · outbound

This paper cites NLP- based feature extraction for the detection of COVID-19 misinformation videos on YouTube,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos NLP- based feature extraction for the detection of COVID-19 misinformation videos on YouTube,

Reference 20

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raw_fallback, observed 2026-08-12T20:07:10.247570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.615395Z digest=sha256:f588897a4489557b6294733c79f38f29057a075b8bf6fb137572acd205b94a27

Observation 2a22b6dc-afe8-4c16-9983-ed01e6cae2f7 · outbound

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

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Using topic modeling and adversarial neural networks for fake news video detection,

Reference 21

Resolution
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no resolver link, observed 2026-08-12T20:07:09.617837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.617837Z digest=sha256:751c6b50a591153ab057c1051da02a656a0596a681db3832b6b65f387530b403

Observation 276a8dc5-f0c5-4355-a4b3-d0aadcb396d9 · outbound

This paper cites A multimodal misinfor- mation detector for covid-19 short videos on tiktok,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos A multimodal misinfor- mation detector for covid-19 short videos on tiktok,

Reference 22

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no resolver link, observed 2026-08-12T20:07:09.620263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.620263Z digest=sha256:877af7762947fdd95a373a1f41bf912358f3f4008b933b85830c6e8df5e3bd6c

Observation b6851a42-21a2-4d27-b3df-f995157e6d67 · outbound

This paper cites Baichuan2,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Baichuan2,

Reference 23

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raw_fallback, observed 2026-08-12T20:07:10.236141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.622800Z digest=sha256:07925e4aec4f9630f33bcaa0b2bb10de3e5819892a760bcc77729b52dd08ec9a

Observation f296f9f1-cfaf-4660-8d12-6a288e2122e6 · outbound

This paper cites an unresolved cited work.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-12T20:07:10.228099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.625144Z digest=sha256:fae140a495f1f6ef6fbd95d83c009241fde65298a68ba03179b9aaf0b0c3af57

Observation 7c319146-771d-4155-9a14-a3fbb9b5cdf9 · outbound

This paper cites Internlm,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Internlm,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.219299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.627477Z digest=sha256:a4464698b2e7c84e76c458e30bc1ed5b3fb7ff25ccc0174a1cb861dffc0e2f90

Observation 80c0dccd-77fa-4167-b5d7-0650acf68019 · outbound

This paper cites Qwen2.5,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Qwen2.5,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.211380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.629909Z digest=sha256:d3da877d8c4a94ac032b320870976e725a1e67203371be72680f11314f5d020a

Observation 20379648-1049-49fa-a6fb-78b7809d29a8 · outbound

This paper cites A corpus of debunked and verified user-generated videos,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos A corpus of debunked and verified user-generated videos,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.203377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.632594Z digest=sha256:81c292ac7ca45d98f614681d471a6f2fa45090c4ca796237bc873d318905ce2c

Observation 983f1ba9-51f2-495d-bd2a-73c902247e7f · outbound

This paper cites A cnn-based misleading video detection model,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos A cnn-based misleading video detection model,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.195985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.635049Z digest=sha256:a42167d65cedacfb41a150d67b00b62ca220497de1fb709974dfd0ffab36b72d

Observation acb56cf3-c74f-433c-b440-f9d31b76bf48 · outbound

This paper cites Mgat-esm: Multi-channel graph attention neural network with event-sharing module for rumor detection,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Mgat-esm: Multi-channel graph attention neural network with event-sharing module for rumor detection,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.188443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.637436Z digest=sha256:7cd22759eccd8ccea0448231d8218f5bd22bb6446b421e94d8eca00d7fc52e2e

Observation bc2ea114-656c-4b1c-a490-8c3910ee9b46 · outbound

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

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Nlp-based feature extraction for the detection of covid-19 misinformation videos on youtube,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T20:07:09.639940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.639940Z digest=sha256:458e6d5a5b2b8c65f09767bcab6a9ee91e922db0133ec796fc12afdfef232e53

Observation b6cbadcb-fc7d-4bf8-8146-353fbeecbe1c · outbound

This paper cites Improving fake news detection by using an entity-enhanced framework to fuse diverse multimodal clues,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Improving fake news detection by using an entity-enhanced framework to fuse diverse multimodal clues,

Reference 31

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no resolver link, observed 2026-08-12T20:07:09.642451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.642451Z digest=sha256:b38711ea68ca4fe72ca4aef426a7e64f436c0e2053802197547a42e1276dbf39

Observation 00508ac3-1df8-4ea6-a71c-4046be578aec · outbound

This paper cites Wlan-log-based superspreader detection in the covid-19 pandemic,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Wlan-log-based superspreader detection in the covid-19 pandemic,

Reference 32

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raw_fallback, observed 2026-08-12T20:07:10.175972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.644694Z digest=sha256:b8e37ec6eb6be27f4f505bda0739a77fc1083877720d7e0c9b08e8fd96bd9900

Observation 861dc8db-ac74-4db2-82ba-b6839a55c391 · outbound

This paper cites User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.166992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.647236Z digest=sha256:5c699d975cb320090ee6f49ab263fc526aeab16993b2261bd6746b69e70a40f8

Observation b6ddf9f1-3512-454b-800b-2e41d3e6dfb7 · outbound

This paper cites Defending against neural fake news,.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Defending against neural fake news,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-12T20:07:10.157890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.649666Z digest=sha256:f1299521f48e3b32ef6c89fadabf43906fb1532c7ff6457ef9d0c520eced0cc1

Observation 518e9783-9e03-49ec-a07c-c7c8ed4df044 · outbound

This paper cites Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract),.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract),

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T20:07:09.652165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.652165Z digest=sha256:9d5f4ab9a6a63d242417baa5a1f444d4efdbe8c02441ffe9f635af5684007b9a

Observation 062c33aa-a016-48ed-824f-a0d737a1d3a1 · outbound

This paper cites FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T20:07:09.654496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:07:09.654496Z digest=sha256:b8c34f8076330ca5a0c404f8525982f8095ca3123ad2c00e3c032bfbac539b01

Observation 1217f282-1001-4779-84c5-3974e05e082f · outbound

This paper cites Available: https://www.frontiersin.org/journals/public- health/articles/10.3389/fpubh.2022.864955.

VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos Available: https://www.frontiersin.org/journals/public- health/articles/10.3389/fpubh.2022.864955

Reference 2022

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T20:07:10.080446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:07:09.579091Z digest=sha256:552fa1c4212fdb9c26bb6e405c0b5c7cfc427d97e3e2938b64eb0bf73f53e074

Pith citing papers

Observation c0e46ab6-f1e7-4ca0-bdae-037a9f0088aa · inbound

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

A New Dataset and Benchmark for Grounding Multimodal Misinformation VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:32:59.176267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-04T23:32:59.134733Z digest=sha256:d246b1516aa9b8a5cf0a4f72ce370c80fc9de3520c6aa34c89b6b280fb8ba52c