On the public citation graph

An Approach for Automatic and Large Scale Image Forensics

https://doi.org/10.1145/3078897.3080536
0 signed · 8 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.3115/1219840.1219885openalex-snapshot
Incorporating non-local information into information extraction systems by Gibbs sampling
inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4833243openalex-extracted
Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/spw50608.2020.00066openalex-snapshot
Research Report: Building a Wide Reach Corpus for Secure Parser Development
inferred← citeshttps://doi.org/10.1145/3278721.3278782openalex-snapshot
Always Lurking
inferred← citeshttps://doi.org/10.48550/arxiv.1712.00846openalex-snapshot
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
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