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Paper Citation Record · LEDGER

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

As of 5 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 2026-08-05T06:32:48.257954+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:a087eff0d7d0a297108302bbf93d599b4d1ef9367fe70b2ba259ea445b7a67c8

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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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:f1b0c7abbb3b191ed91129b8a055a127f7034f5892a7e30967fa0beef597df15

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=sha256:7f1d40244d6fe434331ff5c44767c2c32761f6e7580b49b0e15a004b6582508d

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:d82de6933651e81948a7281d62ca1f823a436ce15962755cc1c05f88192deefd

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:dcc33ea3c2199b088cf98ce736524eec51b628f225a68ad2914d3710396af8cb

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=sha256:995aa4634a18f279576f2900f97a8b1ddbb2ab384dd01a4722ff18c11e9d37eb

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=sha256:95823650ef57977a25e3d5a584dca13ad6847478bd1760ddd44efdfffac7402e

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=sha256:05f785c0489caf2135762748175e5919fdedf89afcc0022ec4d87b486b4ae801

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=sha256:3dec6eee1120ab2388f224370a0c5a4592afe65a2039fe6349e66023ace1f593

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=sha256:2e731e18a207cf70a21a21972ef5f89e233d9207788e070a64735c4804782565

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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unresolved
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=sha256:8b4755152d723cb1b4b76c6ff322cfce9a057a959659f8e6ca742219f0b052bc

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:d58fc1bc882921bda86b76b64d212925e84db6218f917bd4722f7930f61fcb5d

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=sha256:493aa5b2ecefa9118b79950552f08955d18030c0bf6ad4d4806f07b768eddc30

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:ba22762b468669bdc7e5b5889dae1f06551b4b3114c6fd2cdd70595bacdc33cb

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=sha256:9413b6cb523e5dcbbdc10d7fb840594913afa43ae6e4a9b8492657337e064ead

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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unresolved
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:da64669edaf9b397e7dbf003b451d575a6de9c3e7c8935d96d6d4c3c3a6f79bc

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T15:03:13.421099Z digest=sha256:567c48d06e26cdc1b6d74b6d5760e55688cec4a84d0d94971e5fc2bcb0968c3b