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Paper Citation Record · LEDGER

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2509.25991.

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

pith.paper-citation-record.v1
2509.25991 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:38:38.135128Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T15:03:13.421099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T15:08:02.159845Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78397680-da22-4003-bbbb-0c2cd6469e34 · outbound

This paper cites GPT-4 Technical Report.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-04T13:38:35.996929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:35.996929Z digest=sha256:34048eff5e33996f4d7e27087dc07c72466f94d2bd8af3a6555da46ff3b8758f

Observation 35637c26-ecf9-4202-8035-476b50cdb30e · outbound

This paper cites Epidemiology- informed network for robust rumor detection.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Epidemiology- informed network for robust rumor detection

Reference 5

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unresolved
no resolver link, observed 2026-08-04T13:38:36.593899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.593899Z digest=sha256:befad205cd25a592558a10886305fc41adb242f854d1861f4dd8020abade9055

Observation ab2038d8-5beb-4f73-8a2e-5bc2b60628f0 · outbound

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

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Reference 7

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unresolved
no resolver link, observed 2026-08-04T13:38:36.827963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.827963Z digest=sha256:7c0fd20fb3dcf23ea6a380d524819e40d92bcc15faa037f9ca1150540ca098ef

Observation b196da8f-8431-499e-a459-10e0b1dabaf4 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 8

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unresolved
no resolver link, observed 2026-08-04T13:38:36.936291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.936291Z digest=sha256:cf5442ab17657263dfbd2c5ed56773089524037eacd71baaf7c1ffb24d5fc55e

Observation e4a309f8-565e-4845-96ad-43c34050c0c0 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline SAM 2: Segment Anything in Images and Videos

Reference 9

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unresolved
no resolver link, observed 2026-08-04T13:38:37.106576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.106576Z digest=sha256:68db41796884cfd1c5d0a74308f955e8dd4e5cb33f8d734745d1b194e6772ded

Observation 3f524b6f-1128-45cb-8381-ea874139d967 · outbound

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

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 10

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unresolved
no resolver link, observed 2026-08-04T13:38:37.252181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.252181Z digest=sha256:222baa8eea5fc58ee32fc3a59d0c982b17c995e59c4d44bfbe6b84b3d68c9a80

Observation c870ce51-a608-41a6-b607-ca3d331e62ca · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 12

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unresolved
no resolver link, observed 2026-08-04T13:38:37.541381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.541381Z digest=sha256:7c7d04afd1e72345477a63eab487d2b75af1b3e10575c7011599bf6723b6c097

Observation ee87be95-859d-47fc-ae8a-92e45b437dde · outbound

This paper cites Qwen3 Technical Report.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Qwen3 Technical Report

Reference 13

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unresolved
no resolver link, observed 2026-08-04T13:38:37.685526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.685526Z digest=sha256:bae8933cd8a3bd2a738ad6d3f65995fd5efa26f18e594da10fd2b94e63d2830e

Observation a8c5cc9b-7005-4692-aa25-bdfc0055bd46 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 14

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unresolved
no resolver link, observed 2026-08-04T13:38:37.863442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.863442Z digest=sha256:51cfd8f9507c60c4e35e51077549095f10c65586090ae1cb3bdb680fb5b05752

Observation cd1ad97d-cae0-4483-9ebf-5beaef71e7b9 · outbound

This paper cites SAFE: Similarity-Aware Multi-Modal Fake News Detection.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline SAFE: Similarity-Aware Multi-Modal Fake News Detection

Reference 15

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unresolved
no resolver link, observed 2026-08-04T13:38:38.006536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:38.006536Z digest=sha256:800ff93bb72ffe8cf08dc1e761327f9bd4de9ba5c7a7b037e1cc33fbdaed2fac

Observation cb45219d-7a1a-4e5e-ab60-076fa7341148 · outbound

This paper cites FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

Reference 2020

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no resolver link, observed 2026-08-04T13:38:38.135128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:38.135128Z digest=sha256:cb988233053f8f24b62589888e9f44f0a809afc0a2417a2ce8fdcd68d16c86ac

Observation 5362ab05-802c-4567-babd-68c133ce79c7 · outbound

This paper cites E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

Reference 2021

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unresolved
no resolver link, observed 2026-08-04T13:38:36.700799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.700799Z digest=sha256:fb6b76f40a9d09c5157d644abe7fd5972d984edbd81be1d66f3540b17588d71d

Observation c5700a91-3ab5-44d5-b93b-1c8fa37b2bb9 · outbound

This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 2022

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unresolved
no resolver link, observed 2026-08-04T13:38:37.414051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:37.414051Z digest=sha256:6e00e4a4c5f9edfe1d899f783483e1ae9a09752350c5ac1996976f3ffb872195

Observation 811beaad-ec9f-4e75-bbfe-4fac834af50e · outbound

This paper cites Qwen2.5-VL Technical Report.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Qwen2.5-VL Technical Report

Reference 2023

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unresolved
no resolver link, observed 2026-08-04T13:38:36.102600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.102600Z digest=sha256:bca44b3c5e2101e493c6a8c51e9f6c557fc1b96bb71f7cbd43555f4ce6ed8e5a

Observation d2a72923-79c9-4ae0-8141-4550b7e18f87 · outbound

This paper cites Seed1.5-VL Technical Report.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Seed1.5-VL Technical Report

Reference 2024

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unresolved
no resolver link, observed 2026-08-04T13:38:36.451668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.451668Z digest=sha256:b355d3bcd21ae599e1ed24d192174bdbf7d0c1f49fdad1ae91036b9da43f0c5e

Observation d1c63275-8876-4123-a72c-904e5a5fa935 · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping.

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline Simswap: An efficient framework for high fidelity face swapping

Reference 2025

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no resolver link, observed 2026-08-04T13:38:36.245927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:38:36.245927Z digest=sha256:26a1ae99373c6a97e9ac3082a0b64bfb088e321dc267f1232e34f0c7cf6f826d

Pith citing papers

Observation 8e772212-90cc-413d-80f8-42d11d635c3d · inbound

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

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-31T02:03:00.912512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T15:03:13.421099Z digest=sha256:7c551dd08ca54f990e12ba7b73eb884328cb4a83156551f53fb2fa91f39f359f