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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GoogLeNet (Inception) introduced in paper: Going Deeper with Convolutions (Szegedy et al., 2014). — SourceScore Claim d3fb1fa51c64ed09 (verified 2026-06-01). https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.jsonEmbed this claim
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Yes — SourceScore verified this claim with 82% confidence as of 2026-06-01. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 2 primary sources: arXiv (Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/d3fb1fa51c64ed09.json includes an HMAC-SHA256 signature for audit verification.
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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()