Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2405.11697.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:17:41.365291Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T10:40:00.511880Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 142f9fc8-1e17-46ba-b755-0aee961987bf · inbound
Any-Resolution AI-Generated Image Detection by Spectral Learning cites this paper.
Any-Resolution AI-Generated Image Detection by Spectral Learning AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:17:41.365291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c5ce8b9-7b3e-4a9d-8f5d-8cdfd2cbae40 · inbound
A Reality Check on Context Utilisation for Retrieval-Augmented Generation cites this paper.
A Reality Check on Context Utilisation for Retrieval-Augmented Generation AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:55:30.081518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fbcd6ae-1e6c-40b7-b4d3-75c07b49ee2b · inbound
COVE: COntext and VEracity prediction for out-of-context images cites this paper.
COVE: COntext and VEracity prediction for out-of-context images AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:22:43.531808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6e5a038-bd91-4d74-bb0e-d0089730a242 · inbound
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking cites this paper.
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:45:01.907339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57cdca4b-4623-450f-87ca-359c8bdff8db · inbound
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories cites this paper.
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:21:19.882634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dfb8657-3797-4661-b7a5-6a500576f199 · inbound
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment cites this paper.
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:43:22.851756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee526ebb-f2ea-4c8b-9b16-f86c92c165db · inbound
Detecting Text Manipulation in Images using Vision Language Models cites this paper.
Detecting Text Manipulation in Images using Vision Language Models AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:04:19.084829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85436541-ec23-48c1-bfc9-76011658c562 · inbound
M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset cites this paper.
M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:55:37.548434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e75c47b-3f19-4ad5-8d4b-5ff39de007f7 · inbound
XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception cites this paper.
XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:40:00.514118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ae44266-a43a-4464-b14a-8705d2fd837e · inbound
Quality-Aware Calibration for AI-Generated Image Detection in the Wild cites this paper.
Quality-Aware Calibration for AI-Generated Image Detection in the Wild AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:05:08.770306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f4b79449-b7f7-4aac-9ba1-88245b4275e1 · inbound
The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation cites this paper.
The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:01.910384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a8fd8d7-0210-44b3-aa6e-f4fb34eb4bde · inbound
GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment cites this paper.
GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:22:00.226692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf1183ce-efff-46b8-9602-aad3c6d233c1 · inbound
GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment cites this paper.
GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:06:23.243136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.