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Paper Citation Record · LEDGER

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2508.09999.

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

pith.paper-citation-record.v1
2508.09999 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:58.282811Z

measured 27 of 27 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:27:59.696427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.562619Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact6
  • verified fuzzy3
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 685aaea1-8b98-41c2-8bb7-4b0090e29608 · outbound

This paper cites Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, and Iryna Gurevych.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, and Iryna Gurevych

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:04:00.584048Z

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=2026-08-06T05:03:56.576884Z digest=sha256:ed90352dce1493a2ffaf2282f2b9730a135539a882857588a0574a659d219f18

Observation ac0196df-6e03-484b-a099-2b35b2df3f0c · outbound

This paper cites RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:56.875211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:56.875211Z digest=sha256:8e936f02110f458318e4dd692e047f001237fa27db15cf0d2d51f7164eabf5a5

Observation 2e74f394-0ccb-41e4-b42c-97679f23dfb7 · outbound

This paper cites MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs

Reference 7

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unresolved
no resolver link, observed 2026-08-06T05:03:56.963399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:56.963399Z digest=sha256:a9a52338e85814f3744a4b069fb6f23eaed9d6587fed8d20fac836fb37247931

Observation 9dbe6d3d-e875-4d40-b78c-3fa7e470dfbf · outbound

This paper cites VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T05:03:59.663017Z

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=2026-08-06T05:03:57.162907Z digest=sha256:811405c3791c2f3975f839c595499ae1f76ffe243afac601d563fad44ede4df9

Observation 37326834-1528-4618-9b01-2681a1368f1c · outbound

This paper cites Detecting and Grounding Multi-Modal Media Manipulation.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Detecting and Grounding Multi-Modal Media Manipulation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:03:59.477423Z

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=2026-08-06T05:03:57.248503Z digest=sha256:174f8404bce1459e308fcf290b678e8e3be3239060a8c4c6777747fa9a198600

Observation 55dff18d-d14e-4736-a513-fc5f24522c24 · outbound

This paper cites FEVER: a large- scale dataset for fact extraction and VERification.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs FEVER: a large- scale dataset for fact extraction and VERification

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:04:00.443005Z

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=2026-08-06T05:03:57.327072Z digest=sha256:97073a8dab074760e7a486e51db872d3769633da224c902c1df6702f03066e49

Observation a57ff4cb-6dd6-419b-946d-69f073db4c8e · outbound

This paper cites Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:03:59.214624Z

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=2026-08-06T05:03:57.747769Z digest=sha256:c5b955f3847edafe578ad28b262bd324a8e734c5526190dbc695dea531072067

Observation 3a2abea8-af4b-4621-b556-f343e56549c5 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 17

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unresolved
no resolver link, observed 2026-08-06T05:03:57.833976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.833976Z digest=sha256:ef554b7bf7c0371c72fa90abf947e698cb6936e840fe6f72dc3cb7d88637bfa4

Observation 80b20ad5-1ef1-4c92-9419-76f086dc313c · outbound

This paper cites URLhttp://dx.doi.org/10.1145/3539618.3591879.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs URLhttp://dx.doi.org/10.1145/3539618.3591879

Reference 18

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verified exact
arxiv_id_nonexistent, observed 2026-08-06T05:03:59.018386Z

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=2026-08-06T05:03:57.919805Z digest=sha256:64c404db226df2f914fb704990b161c32d2fd915976280ddda108e6ca48098f3

Observation d0f90eb3-8336-4524-89c5-383fc05b157f · outbound

This paper cites Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:03:58.538504Z

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=2026-08-06T05:03:58.012702Z digest=sha256:daca45a323e6415819b9d85186efd0c0e4bdba5ae8380cda9c49eaaaa64de6ba

Observation 32e0c5f2-13b2-4fdf-aa7f-2f0065e8dac9 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Sigmoid Loss for Language Image Pre-Training

Reference 20

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unresolved
no resolver link, observed 2026-08-06T05:03:58.099633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:58.099633Z digest=sha256:fc01dec3f32d199c2e2d3296849cf1f9fe5e4baf4bb2d4499c1a08e18f1518a0

Observation 68745834-e5a1-4042-abbc-49440eaff9ae · outbound

This paper cites Fact-Checking Meets Fauxtography: Verifying Claims About Images.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Fact-Checking Meets Fauxtography: Verifying Claims About Images

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:58.194829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:58.194829Z digest=sha256:2434be8a64d28ca341e37a0adcfcc939aa2b7c5f0d696a1fd0bc6e99069e5b77

Observation df0a8745-0078-433a-a659-a80bd555c6a2 · outbound

This paper cites initially entered a not-guilty plea.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs initially entered a not-guilty plea

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:04:00.308454Z

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=2026-08-06T05:03:58.282811Z digest=sha256:73be9b2fec7d7a3f32125e762b5e23fd8c2a2216879d364344b55d3497471dab

Observation 80e29167-cb08-43b3-99f8-88e6b900c8d6 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:57.535866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.535866Z digest=sha256:3748e3e90e2ab7a82ec5cd48d7d5540db7243654c6825d6879e022170f6c61a6

Observation f6d17817-3c79-4fac-9322-3148b78e4e5a · outbound

This paper cites Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?

Reference 2016

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:04:00.160152Z

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=2026-08-06T05:03:56.514373Z digest=sha256:ed7ae6d8103fbf5ce25d62e652bcf549b44754be0ba1bd8002c3bf1ae89d0340

Observation 89948268-3d46-42f2-8b18-4e35063f7caa · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 2017

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unresolved
no resolver link, observed 2026-08-06T05:03:57.600679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.600679Z digest=sha256:aed2e04b183df2ff92a5b943ac55e5b2b66d3b7f254cb98768467fbdbe0487a4

Observation d0f61f7b-53a9-4c7a-a1d6-8c4744d8c48a · outbound

This paper cites doi: 10.18653/v1/N18-1074.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs doi: 10.18653/v1/N18-1074

Reference 2018

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unresolved
no resolver link, observed 2026-08-06T05:03:57.425102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.425102Z digest=sha256:28e543aaea77ddf95d92749c954409be987510f069697eba49a95f401189b341

Observation a36bd8a4-2353-4889-83a1-714fb9f0c466 · outbound

This paper cites MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:56.796486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:56.796486Z digest=sha256:92f0dd80ce2287113e512914883d0de87f9f6f051d81205df81afe73c75f28e8

Observation 9723db53-1189-42d0-a22d-bf0e797c5b8b · outbound

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

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:56.434875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:56.434875Z digest=sha256:2b7155cdec10e2ade1c181e23d611ec7c9ba93c5acd14e345036717fe9546040

Observation e61821f1-7590-4501-93cb-986d4b5cac61 · outbound

This paper cites LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation

Reference 2022

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unresolved
no resolver link, observed 2026-08-06T05:03:57.680108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.680108Z digest=sha256:05494db163f21f66bb7a17b46a8de9af5b34eba792ce6b8dc66f7720afc03e22

Observation 5bc5a062-4ce9-4085-b450-fb0e1bdad606 · outbound

This paper cites r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Reference 2023

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unresolved
no resolver link, observed 2026-08-06T05:03:57.058635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:57.058635Z digest=sha256:bc6f81839aaa33d31c0e3b7e21f6e71d322b9039a2d89c94d2f1187caaac7193

Observation e7b678cf-9e19-44d0-98eb-47dbae6e96e3 · outbound

This paper cites A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking.

XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:03:59.947738Z

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=2026-08-06T05:03:56.701617Z digest=sha256:09be96bff3e63a1708d454ab32c0de3e083f3def9bdcdfe40a231285e9ce6c69

Pith citing papers

Observation ba8e7a54-0dab-43a5-a20c-d1c826bfd570 · inbound

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking cites this paper.

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:08:02.145695Z

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=2026-05-16T15:03:13.421099Z digest=sha256:b26ab1e4a8c99db60d5018b57568a6fc06f707d7fd033ee26877d9948c580c2d

Observation 5f7f49ca-4de7-4c5a-b3c5-1dbe0a96ea39 · inbound

ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection cites this paper.

ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:57.564350Z

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=arxiv_source observed=2026-06-26T00:34:03.031407Z digest=sha256:c5d457bb8b43d69a570b4e6ad088c23d15e55dfe0a54fba3376fb01a6583641c

Observation cec642bd-b386-41bf-8fec-9d8c74b93d66 · inbound

Evidence Triangulation for Multimodal Fact-Checking in the Wild cites this paper.

Evidence Triangulation for Multimodal Fact-Checking in the Wild XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T11:55:43.630788Z

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=2026-07-01T03:07:39.728794Z digest=sha256:08f1d1e6d247c50c09288cbbcd31e30a75bfa2959a480a68c6b17eb33f269dab

Observation 40c8ce61-2892-4bb0-9515-aa09d2d70bd8 · inbound

Novel Claim or D\'ej\`a Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking cites this paper.

Novel Claim or D\'ej\`a Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

Reference 34

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unresolved
no resolver link, observed 2026-07-30T20:27:59.696427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:27:59.696427Z digest=sha256:feadef443eedd3f1c1e6b8eb2e962968416770ddbacc306614a2c4ecfa941bd4

Observation 7ef3d34a-e867-4b58-b5c0-383d7712d1e6 · inbound

Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection cites this paper.

Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection XFacta: Contemporary, Real-World Dataset and Evaluation for Multimodal Misinformation Detection with Multimodal LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-30T18:19:45.364172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:19:45.364172Z digest=sha256:85744dea9f247f68e587cbcc444c66792a11df4f026a75ecded4996754adf099