Paper Citation Record · LEDGER

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.14728.

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

pith.paper-citation-record.v1
2501.14728 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:55:14.528553Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy27
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c042525-e697-4bf3-a688-7f498be4a594 · outbound

This paper cites Fact-Saboteurs: A taxonomy of evidence manipula- tion attacks against fact-verification systems.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Fact-Saboteurs: A taxonomy of evidence manipula- tion attacks against fact-verification systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.369758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 145677a3-5d2c-4157-a8fc-f3f73a27aa03 · outbound

This paper cites FACTIFY3M: A benchmark for multimodal fact verification with explain- ability through 5W question-answering.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection FACTIFY3M: A benchmark for multimodal fact verification with explain- ability through 5W question-answering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.287764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b4caed2-85f7-45a8-954c-e5fdf6677e7e · outbound

This paper cites Can llm- generated misinformation be detected? In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024,.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Can llm- generated misinformation be detected? In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.269717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91776f8b-6336-4e52-a749-294de6f49606 · outbound

This paper cites Synthetic disinformation attacks on au- tomated fact verification systems.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Synthetic disinformation attacks on au- tomated fact verification systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.233404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9dc43579-502b-411f-844b-8f38cbd57c90 · outbound

This paper cites A survey on automated fact-checking.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection A survey on automated fact-checking

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.217452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41f7158e-2e86-49aa-9437-2e9aa9a96c8b · outbound

This paper cites Multimedia se- mantic integrity assessment using joint embedding of im- ages and text.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Multimedia se- mantic integrity assessment using joint embedding of im- ages and text

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.201420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c78cc329-e15b-4b8a-a19f-645a4ddc8530 · outbound

This paper cites Aligning large language models through synthetic feedback.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Aligning large language models through synthetic feedback

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.168629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5ba7479-3a4b-4f7c-ab57-a4921a64ad6d · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.393636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf591eff-711f-470c-b647-c0ff99432c40 · outbound

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

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.152546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e5a1068-fe2a-4eac-8124-855fef80e046 · outbound

This paper cites Multimodal analytics for real-world news using measures of cross-modal entity consistency.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Multimodal analytics for real-world news using measures of cross-modal entity consistency

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.135783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d65b309f-ce05-415c-a6a0-2ec47a2e4408 · outbound

This paper cites GPT-4 Technical Report.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection GPT-4 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.411213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d48298-1363-4d29-8df9-35d378062f1c · outbound

This paper cites Hello GPT-4o,.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Hello GPT-4o,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.116517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d084ef61-37a0-4bab-9707-f5ef91e0ae53 · outbound

This paper cites [Pan et al., 2023a] Liangming Pan, Wenhu Chen, Min-Yen Kan, and William Yang Wang.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection [Pan et al., 2023a] Liangming Pan, Wenhu Chen, Min-Yen Kan, and William Yang Wang

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.100268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0be1cd7-4868-49ed-a873-11b1eac192cb · outbound

This paper cites On the risk of misinformation pollution with large lan- guage models.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection On the risk of misinformation pollution with large lan- guage models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.083879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 29cda262-fa81-441f-baea-bd56e9512eb9 · outbound

This paper cites RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.432582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb0ee58-a529-4c6e-bba4-f730fe9b7c8d · outbound

This paper cites VERITE: a robust benchmark for multimodal misinformation detection accounting for unimodal bias.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection VERITE: a robust benchmark for multimodal misinformation detection accounting for unimodal bias

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.066586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81d3b382-effe-460c-8895-089d6e10866d · outbound

This paper cites SNIFFER: Multimodal large language model for explainable out-of-context misinformation de- tection.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection SNIFFER: Multimodal large language model for explainable out-of-context misinformation de- tection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.047711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77124d3a-f020-4a79-a86c-4341ac25c479 · outbound

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

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Learning transferable visual models from nat- ural language supervision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.449694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd1df4b-8c6e-4127-b66f-f9be3bbe2056 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.455035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2add05c-6b31-4b78-93f4-65f4e3edb08b · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection High-resolution image synthesis with latent diffusion models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.460288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a6aa43-8d99-489a-ae5f-f1594a3ee846 · outbound

This paper cites Countering misinformation via emotional response generation.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Countering misinformation via emotional response generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.007488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea6f7416-4559-4d9e-a419-d73d504b3f7c · outbound

This paper cites Deep multimodal image- repurposing detection.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Deep multimodal image- repurposing detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.988168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1087a163-18e1-4695-a436-1b5ae60fd9c8 · outbound

This paper cites Position: Will we run out of data? lim- its of LLM scaling based on human-generated data.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Position: Will we run out of data? lim- its of LLM scaling based on human-generated data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.937501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d17b12e7-e14a-4f15-9059-52c3bb6bd39c · outbound

This paper cites A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.490624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2398c0-3f4c-4303-88ee-e936c6d99271 · outbound

This paper cites Fake news in sheep’s clothing: Robust fake news detection against llm-empowered style attacks.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Fake news in sheep’s clothing: Robust fake news detection against llm-empowered style attacks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.919660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f797db4a-0547-4a92-b78b-9322b1b06c0c · outbound

This paper cites Wagner, Danqi Chen, and Prateek Mittal.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Wagner, Danqi Chen, and Prateek Mittal

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.501726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfae8f99-7de8-4746-ae19-be743ea6e4ac · outbound

This paper cites End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.901208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1df87265-7a19-49e6-aabe-6615ebcadcb1 · outbound

This paper cites Don’t take this out of con- text!: On the need for contextual models and evaluations for stylistic rewriting.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Don’t take this out of con- text!: On the need for contextual models and evaluations for stylistic rewriting

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.884636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56508c07-aa32-4881-ac84-3a573d83bb95 · outbound

This paper cites Support or refute: Analyzing the stance of evidence to detect out-of-context mis- and disin- formation.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Support or refute: Analyzing the stance of evidence to detect out-of-context mis- and disin- formation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.866847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2372caa-6f4a-44ce-99df-52e08a47c394 · outbound

This paper cites Instruction tuning for large language models: A survey.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Instruction tuning for large language models: A survey

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.523015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abed5fce-793c-4a2b-81f8-495374d4546c · outbound

This paper cites Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.528553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339f5757-5da8-4107-9a82-8bd5f1172f60 · outbound

This paper cites Evidence-based factual error correction.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Evidence-based factual error correction

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:14.956775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90163b0e-2176-4407-8686-01f2575cb874 · outbound

This paper cites Survey of hallucina- tion in natural language generation.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Survey of hallucina- tion in natural language generation

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.185055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd22ee01-8c4d-47df-89ed-940c53d6a094 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Very deep convolutional networks for large-scale image recognition

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.475927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cad3fb0-2a4f-432c-a2af-b8372dfcfa6f · outbound

This paper cites Hallucinated but factual! inspecting the factuality of hallu- cinations in abstractive summarization.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Hallucinated but factual! inspecting the factuality of hallu- cinations in abstractive summarization

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.303374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86adb648-2876-49db-961f-6d2d2d89877d · outbound

This paper cites Data scarcity, robustness and extreme multi- label classification.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Data scarcity, robustness and extreme multi- label classification

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.319560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95581d40-2c8d-489e-b580-5861b3537649 · outbound

This paper cites Generating label cohesive and well-formed adversarial claims.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Generating label cohesive and well-formed adversarial claims

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.336734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a73e95b7-0eab-4221-b026-94a463bb5f98 · outbound

This paper cites COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:14.328939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df05720a-f639-4343-9287-2f1d3cbde40c · outbound

This paper cites Open-domain, content-based, multi- modal fact-checking of out-of-context images via online resources.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Open-domain, content-based, multi- modal fact-checking of out-of-context images via online resources

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:15.352848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84106558-a594-4ff4-a210-6eeec63a45a1 · outbound

This paper cites an unresolved cited work.

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:55:15.251060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.