Verified claim · AI-ML · 82% confidence
GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014).
Last verified 2026-06-01 · Methodology veritas-v0.1 · d3fb1fa51c64ed09
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Structured fields
- Subject
- GoogLeNet (Inception)
- Predicate
introduced_in_paper- Object
- Going Deeper with Convolutions (Szegedy et al., 2014)
- Confidence
- 82%
- Tags
- googlenet · inception · convolutional-network · imagenet · ilsvrc-2014 · szegedy · foundational · 2014
Sources (2)
[1] preprint · arXiv (Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich) · 2014-09-17
Going Deeper with Convolutions“One particular incarnation used in our submission for ILSVRC 2014 is called GoogLeNet, a 22 layers deep network, the quality of which is assessed in the context of classification and detection.”
[2] docs · Hugging Face
Going Deeper with Convolutions (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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cURL
curl https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_googlenet_inception_fact() -> dict:
"""Fetch the verified SourceScore claim for GoogLeNet (Inception)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.json")
return r.json()