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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:09d6040e3750f82ee9164397a01136bc0b06468a1859cd285604ac69201a7b87

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=sha256:092f26120f6d84650343ea74f9b617610dae07771990a215f9eed515e0c4a998

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=sha256:0500789fd8e6f4c02bc323a515befa008f0f27fd966ffd0e9d93886e492bdd84

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:e49db13f64c1d28cb380467900a41d96c79d2340357d7188e32a146ea7a7d689

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=sha256:529e30a5b809a4046648a8c177e93b61ceab03fe701260f5c29fe8a47a74914f

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=sha256:0cd442c7411da4b27bb3bc261860739ed78cb39856be1bd415424279c5b512ee

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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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=sha256:91fc114eb374682b7f1fa6e316a4f58e05c14d5224d432b5906e5d84e44c33ab

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=sha256:90ad4c1af92d020656c003de285dae20b3fb646be57a4a06c1ec5a8699151c2b

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=sha256:75f2c6ecfecbb48120fedbb9333ee98c9d0d7c249c06f3830990e88bd69120af

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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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=sha256:58dcb179aad298f1a850e5420812c132bb0448f9aa39d0bb56cd2e688af348cf

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=sha256:4a4209a130d8e418a8b75d38c5b5b7ac2b81e2bf0ed18dd256215bcfcb8fcc48

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:bff50146ee78e15835481fbdc95fef924256b28ee2d9947eb57c1a629ddc1346

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:d5672421e2e054fed76e1359efbe7a0926803b60f65ed5ebcd97a3285d7a8822

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=sha256:167ca8eafd60a4f7b96e2c6ef385d3305fd31ce32f7375207f1af5847a614fbb

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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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=sha256:8d46b6865fbd6a2d16ebecd0e342aec1a1f612f97b087bf5d67ffe1f42aa6dca

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=sha256:693cf3f676c92268810b7ae56f8dbf9d8b54a4f7d68b2db4e5414fc56c43a072

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T15:03:13.421099Z digest=sha256:88c14b58784a9314b0ea3a3e064501fc59214c8ec451cd317c5038b385557abe