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Paper Citation Record · LEDGER

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings

As of 23 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2509.04714.

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

pith.paper-citation-record.v1
2509.04714 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:51.198703Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact4
  • verified fuzzy39
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f355d090-5de7-482d-a74a-dfff5cc7aa59 · outbound

This paper cites The impact of misleading thumbnails on user engagement,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings The impact of misleading thumbnails on user engagement,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.949807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:50.981733Z digest=sha256:f27da0bae441c9deb5d60e836b3beb5a23bdd241b00836bdd443d40fcc84c229

Observation e6982282-e22d-4482-aaa0-cc0dbded8e50 · outbound

This paper cites Americans and digital misinfor- mation,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Americans and digital misinfor- mation,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.940365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:50.986266Z digest=sha256:c951d110e56cce032b12f43bea3f492a6e55b567595afbfdd45b34d9f168b2a2

Observation bae02f1d-3cd7-4b4e-afd2-e1217dd3aa51 · outbound

This paper cites Youtube for press,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Youtube for press,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.931475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:50.990026Z digest=sha256:7845edb82ac1eeba167640bc3ef6a71d0567cfc64cab95505b8dd04ef2c6a2f4

Observation 43c0b9be-8c9b-4fbb-8dc4-c87d95efcb0d · outbound

This paper cites Checker: Detecting clickbait thumbnails with weak supervision and co-teaching,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Checker: Detecting clickbait thumbnails with weak supervision and co-teaching,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.921808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:50.993633Z digest=sha256:8f8bb84c90c03e9ef22cddbdfd07a27f5e09d290455eff7dd9cba62ced980c5d

Observation b1c2cb17-cffa-4e6e-8114-bc2191ec013a · outbound

This paper cites Number of monthly unique youtube users,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Number of monthly unique youtube users,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.912583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:50.997718Z digest=sha256:fbdaee30c9ddf198282ba9b515b72e3ce8aa1654385eee813cc9d59ae64be556

Observation 6690b403-ca52-4af7-941d-1992273db786 · outbound

This paper cites Measuring misinformation in video search platforms: An audit study on youtube,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Measuring misinformation in video search platforms: An audit study on youtube,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.902860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.002564Z digest=sha256:28e728c1a10e37ce4d93157b214dcb791fe9cf41a9bf17656a19ac5abba1f162

Observation ca84e188-7448-4a16-ab75-15332207bda3 · outbound

This paper cites Adolescents’ experiences and (re)action towards fake news on social media: Perspectives from norway,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Adolescents’ experiences and (re)action towards fake news on social media: Perspectives from norway,

Reference 7

Resolution
verified exact
doi, observed 2026-08-05T06:00:51.234488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.007384Z digest=sha256:5928073c6e5f412c57f2eaca80b241cb3efcf6da67ad507a6557df1c73594b4c

Observation 8968a517-85ae-4576-97ac-7de575801388 · outbound

This paper cites Towards crowdsourcing clickbait labels for youtube videos,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Towards crowdsourcing clickbait labels for youtube videos,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.893347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.011988Z digest=sha256:fb8838b15968f3eaebb30ca97a0c2d44008b6e7ee6cae3d4ab947b952acf2165

Observation 9a20e435-5c9f-4574-aa26-0e5d17185993 · outbound

This paper cites Youtube data api,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Youtube data api,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.883529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.016108Z digest=sha256:1ae87121623a269b5933e557ca8f836ff880d522edfe876deb1f7729ec2c051c

Observation 5c91e72a-4bdb-43d9-b5bb-c3f86e8b4673 · outbound

This paper cites Pytubefix repository,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Pytubefix repository,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.873447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.020069Z digest=sha256:eb84cb1d976bd868313fb17c079e9cfb17fc40e3e6bcf9cd8d48d831fb977df3

Observation 0ad7d5fb-840d-4c51-8f54-001f1b4b121c · outbound

This paper cites Gemini 1.5 flash model,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Gemini 1.5 flash model,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.864220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.024419Z digest=sha256:5390163b518da4c308d467b3640a76c664a2dafc28176512ec8fd3f525892ae0

Observation 5aafbd88-e864-41db-a5ef-bc0f6795f2d5 · outbound

This paper cites Claude 3.5 sonnet model,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Claude 3.5 sonnet model,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.854778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.028222Z digest=sha256:0c6694bb60d0e364997da64a7e03c5f990c9dd3c2417bde69a0657d3fe63f157

Observation 481bd2d6-7072-44ec-8558-28129f258bda · outbound

This paper cites Twelve labs: The platform for video understanding,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Twelve labs: The platform for video understanding,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.844810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.032493Z digest=sha256:ff82bf739b4b8d709c7cec43a749906a71d3bfc9f7267446617dd549ecfaeb32

Observation 9429e0e8-d1a7-483f-8a65-041a490d0c46 · outbound

This paper cites Long context rag: Performance with llms,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Long context rag: Performance with llms,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.832090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.036383Z digest=sha256:26fdb92c2cfa66c3ad646ab47173f10541599dc2e611347984de62565bde0ff5

Observation 0ddadf61-75d8-46f2-ad82-405bed515bbc · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.040320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.040320Z digest=sha256:6ded7d48b07fe51aeeb839b6bbdfdb40b618b9a2f4d10607761e6e1044e75c7e

Observation 32e01b77-7e0c-41fd-99d4-41f649eb95ce · outbound

This paper cites Prompting techniques guide,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Prompting techniques guide,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.820876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.044692Z digest=sha256:2d89686fa9bb33c27c8a0d0854fc1efa1b1e8d53da332829776dd796233648e7

Observation 9e13f32d-252f-4de7-b099-fc947416a1d3 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Large Language Models are Zero-Shot Reasoners

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.049363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.049363Z digest=sha256:f473c32ec9b092c104b629780756e58b592478103f7487ffe541c8591f45e350

Observation 729eb6b1-a9eb-44cb-96ab-b05676c260ca · outbound

This paper cites The good, the bad and the bait: Detecting and characterizing clickbait on youtube,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings The good, the bad and the bait: Detecting and characterizing clickbait on youtube,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.810740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.054551Z digest=sha256:54ee8412b3bac158948ef6e86b1836ef7fec567aa36d462ac6e46c9fc08584b8

Observation b6fa3ea8-3149-41ed-9e5e-569ca3327439 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.058405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.058405Z digest=sha256:3a102a1cf400163b444edab367a8fd6adc3d41200e92fb33d1d6a4d74fedd5ba

Observation 986e0cc3-f4da-43cf-90dd-b80c84213a5a · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Long-context LLMs Struggle with Long In-context Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.063095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.063095Z digest=sha256:4ebe78770c331c2c442c5e8819f694651e0148b190d8dcd6fa02c8c5d9826628

Observation 577c9738-d649-406a-a7f5-058ccbfe2e16 · outbound

This paper cites Openai models documentation,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Openai models documentation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.801719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.067350Z digest=sha256:65389976aae40642b489fe720622d196d0a9dfa4f70e02f9cd37bc6ff9779144

Observation 1d2bc5f9-a656-4086-ab4a-6c7c95d6c079 · outbound

This paper cites Thumbnails policy,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Thumbnails policy,

Reference 22

Resolution
verified exact
raw_fallback, observed 2026-08-05T06:00:51.476030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.071223Z digest=sha256:7819e9ce6dcfaf226a4adb24421fb8943019202b7bdb4e0864806d2c0efdf8d2

Observation 3fe9e77c-9af2-4434-a76a-4fc644dacf4d · outbound

This paper cites Community guidelines,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Community guidelines,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.792051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.075208Z digest=sha256:291c1ae9456a78fb33e266e99d3aeba7bf73c561fcb2700ccdd03a2ec76c1b35

Observation bc60b3ee-dc4f-44ad-9cf0-f852ece7d53b · outbound

This paper cites Gemini api safety settings,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Gemini api safety settings,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.782452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.079158Z digest=sha256:ec3087b14d44ef1edb6806466f414eb3891f9d87dd4fe3e2332fb516b3ef59d4

Observation 16cc2c2f-7ae0-4e07-87b5-d035411f2a70 · outbound

This paper cites Configure safety filters for generative ai studio,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Configure safety filters for generative ai studio,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.773166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.083858Z digest=sha256:b4d79b6bac260424f086735089563f0fe12317fe20422f3d98568e65d0ad2fbc

Observation 6c4937ca-3465-4ad8-b3f4-be1fe0ac6c67 · outbound

This paper cites Safety at openai,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Safety at openai,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.763463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.087701Z digest=sha256:8d1909690f45cc9f6b29a8dec3af331725c54471acba9c713d961aaf26921836

Observation 7625b0bd-0e7e-430a-b90f-b07d9c153162 · outbound

This paper cites Acceptable use policy,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Acceptable use policy,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.754402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.091335Z digest=sha256:49e7427e1cb0e8e969400e8f8e8dd88898f59650275d3289c47425858cbbc074

Observation f5282c94-2e41-481e-bbd3-9a72ff14c582 · outbound

This paper cites The Ethics of Interaction: Mitigating Security Threats in LLMs.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings The Ethics of Interaction: Mitigating Security Threats in LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.095077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.095077Z digest=sha256:99460f88bc79d0320abac4e4a6059165f3eac61a15585154cb7ac30ed371c058

Observation 69d67a9a-514b-438a-90db-0a0fd96c33e1 · outbound

This paper cites Safety Layers in Aligned Large Language Models: The Key to LLM Security.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.098948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.098948Z digest=sha256:3ebcf5cd76ea6841338071507e3fd915d712338c6963224f2944884481df3e2d

Observation b5ab6bfc-f314-432b-abb3-aa10fc1a0f25 · outbound

This paper cites Chain-of-thought prompting,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Chain-of-thought prompting,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.744490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.102670Z digest=sha256:5ab1c370d9892862c77d527174a8e31110e3bf0314675e50144f81e94a6297a2

Observation 950ecbb8-8cca-441d-b2ee-2b9d21f6c527 · outbound

This paper cites Twelve labs pricing,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Twelve labs pricing,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.733834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.106462Z digest=sha256:fb6c7a9455799ec9cf536a88264cbd26c04eb272df1cee36fb1dfca390b5311e

Observation 4cfa6a5a-a5e6-4aac-9f79-3d93d1f2f427 · outbound

This paper cites Batch processing guide,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Batch processing guide,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.723669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.110925Z digest=sha256:a93e9ea6b6dbe8dc4951d615895f012f97c248c462af324ff9bd973664d8c47d

Observation bdf23bfc-f65b-4675-bdb5-ab222f954eb5 · outbound

This paper cites Message batches api,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Message batches api,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.713801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.116305Z digest=sha256:e5ddff8b202e416c8d62e1b38cadc77268695e1ac58c4c9a0238334fd307a0bc

Observation 380a41f0-b856-4651-9733-a4aa39cc7081 · outbound

This paper cites Prompt caching,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Prompt caching,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.703847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.121938Z digest=sha256:e65c56505d7a17af31dbf71342bc85b574c3cc17f863a5b32ceecc33e33c7dfb

Observation 5fb86d84-cd85-4a39-ae20-7265d7634597 · outbound

This paper cites Context cache overview,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Context cache overview,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.694185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.127108Z digest=sha256:364076c9ee56ce30c8ef029ce63dfe5fe01df561c4948c0e43b67ea150955bb8

Observation aaf0c56e-dad8-4ad3-895f-874778938b30 · outbound

This paper cites Api prompt caching,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Api prompt caching,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.683662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.131207Z digest=sha256:1ba9bfa68772eb85383acd9a7bc81e55a0145734f25eeaa000ba452d382b31cd

Observation e5693eda-b81f-424d-a10b-dca10a3eb880 · outbound

This paper cites Batch prediction with gemini models,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Batch prediction with gemini models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.673492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.135275Z digest=sha256:a014a420fa63a9d765d7efcd981a62d36757916def4b4a25dcccba12b5d2bb65

Observation 75735e5a-8b90-49a5-93c3-4b5a39c1b408 · outbound

This paper cites Leveraging Vision Language Models for Specialized Agricultural Tasks.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Leveraging Vision Language Models for Specialized Agricultural Tasks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.139713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.139713Z digest=sha256:f5f4c226419639411eb01191b7894ae872575b079f98509bc602185cf7307afb

Observation d8a30153-dc54-4f75-96c9-3354d198708a · outbound

This paper cites Evaluating the utility- truthfulness trade-off in large language model agents: A comparative study of chatgpt, gemini, and claude.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Evaluating the utility- truthfulness trade-off in large language model agents: A comparative study of chatgpt, gemini, and claude

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.662802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.143868Z digest=sha256:e3a8958b1b2077d924b0b68d5084e72b9ec5c9ebe63504a592e0f84c04ecbbf9

Observation 3e25e233-6c52-45cb-b66b-8230af597d59 · outbound

This paper cites Efficacy of Synthetic Data as a Benchmark.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Efficacy of Synthetic Data as a Benchmark

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.148058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.148058Z digest=sha256:ed27118293b681a6d1096547c54c6ed7b4d84ca60e1265ae80ce5a1bbf03dee0

Observation 78516360-e734-4766-aeda-f61552fbad6b · outbound

This paper cites Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T06:00:51.355154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.153341Z digest=sha256:ee4c86368a4bb2e932c868666d0b53c77f55dc7b77573b87044e817d591e77dd

Observation 525e938b-8390-427c-8614-460640d8a80e · outbound

This paper cites Infinibench: A comprehensive benchmark for large multimodal models in very long video understanding,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Infinibench: A comprehensive benchmark for large multimodal models in very long video understanding,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:51.158389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:51.158389Z digest=sha256:4b69ad63359ef3318eb6be80e5bb53860f9cc4dd064a9b10deccaa4108751c8a

Observation 9551fe2d-5484-4308-a661-dd93a09339f2 · outbound

This paper cites Localizing youtube: Language, cultural regions, and digital platforms,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Localizing youtube: Language, cultural regions, and digital platforms,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.652023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.161946Z digest=sha256:2c2e00838ffed83ed11a39629b0daa198063c893ba7a1f04bd4c5cb914ad0c94

Observation ef2d4f55-2b73-4e5b-95b7-ec6991fc74d8 · outbound

This paper cites Exploring audience en- gagement with chatgpt-related content on youtube: Implications for content creators and ai tool developers,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Exploring audience en- gagement with chatgpt-related content on youtube: Implications for content creators and ai tool developers,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.640945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.165329Z digest=sha256:8fcb5f5fbbe897903e8e95d8a180d849c335cfa027e9cf7298c5bd702f954b81

Observation a1940a0f-8927-4791-9b6b-012375f54b39 · outbound

This paper cites Digital services act (dsa),.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Digital services act (dsa),

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.627982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.168974Z digest=sha256:f20643935a689aba087074707104b68f9b3fa0b6c1c5a9ecc2a3f412b759021d

Observation 15395247-a808-4e1a-a719-e43d14553ae3 · outbound

This paper cites Mis- leading metadata detection on youtube,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Mis- leading metadata detection on youtube,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.615807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.172910Z digest=sha256:023412d5580c887e550110d3f3694506a60ccb56690aa2e8c6b6fa874955d414

Observation 36cf0167-243a-4c83-815f-a2ee91d9e14c · outbound

This paper cites Towards re- liable online clickbait video detection: A content-agnostic approach,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Towards re- liable online clickbait video detection: A content-agnostic approach,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.602509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.176538Z digest=sha256:822b931d88fcd56d7497eab727f1efbfc70b02d3580dc3e8dfb4280b70c28f53

Observation 6e37b512-6ff4-479d-ac3f-96585c752863 · outbound

This paper cites Disinformation in multimedia annotation: Misleading metadata detection on youtube,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Disinformation in multimedia annotation: Misleading metadata detection on youtube,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.588911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.179930Z digest=sha256:f64dec225152ae7c62eca168726339a8f45d5cbac11393e3c7205cfabe90232f

Observation 0ace01ed-b931-4ade-8b3f-0fe66ed44b91 · outbound

This paper cites Baitradar: A multi-model clickbait detection algorithm using deep learning,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Baitradar: A multi-model clickbait detection algorithm using deep learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.576337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.183818Z digest=sha256:d7688c39671b2c06e935c9a18f6e4437e1cc3213fe3faaa6cd153fc2d9e63a03

Observation b2fa7e68-518d-4f71-9f8d-41e471410073 · outbound

This paper cites Chatgpt outperforms crowd workers for text-annotation tasks,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Chatgpt outperforms crowd workers for text-annotation tasks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.564193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.187302Z digest=sha256:fb2c5184a6f721f1954386d0fcefcc5ee54aa6cf31b800fcdc53b506f468db3f

Observation 290010ae-fc10-4548-b7b5-e759d233634b · outbound

This paper cites Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-05T06:00:51.253233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.191108Z digest=sha256:f417d1b61895030847193380c190979cae7f85c556c2290dec3d09b9f3581c05

Observation 83115034-ca48-4db1-a3a9-fd604f8fc49f · outbound

This paper cites {PIXELMOD}: Improving soft moderation of visual misleading information on twit- ter,.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings {PIXELMOD}: Improving soft moderation of visual misleading information on twit- ter,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T06:00:51.552586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.195360Z digest=sha256:b8fcd053a8a6437db96124b8c906031a62b63847de49431648cdddb8aea085bc

Observation e0376474-d51d-4d16-9f74-440f05838504 · outbound

This paper cites an unresolved cited work.

ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T06:00:51.540192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T06:00:51.198703Z digest=sha256:38cd07f7e7b00a44a54e55d8d2984098dd20d9a917ccacb7341502ee2562632b

Pith citing papers

No inbound Pith citation observations are available.