Verified claim · AI-ML · 82% confidence
Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014).
Last verified 2026-06-01 · Methodology veritas-v0.1 · 139236c659c84aef
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Structured fields
- Subject
- Neural Turing Machine
- Predicate
introduced_in_paper- Object
- Neural Turing Machines (Graves et al., 2014)
- Confidence
- 82%
- Tags
- neural-turing-machine · memory-augmented · graves · deepmind · foundational · 2014
Sources (2)
[1] preprint · arXiv (Alex Graves, Greg Wayne, Ivo Danihelka) · 2014-10-20
Neural Turing Machines“We extend the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes.”
[2] docs · Hugging Face
Neural Turing Machines (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014). — SourceScore Claim 139236c659c84aef (verified 2026-06-01). https://sourcescore.org/api/v1/claims/139236c659c84aef.jsonEmbed this claim
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Frequently asked questions
Is the claim "Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014)." verified?
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.
What is the evidence for "Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014)."?
Evidence comes from 2 primary sources: arXiv (Alex Graves, Greg Wayne, Ivo Danihelka), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/139236c659c84aef.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-06-01 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.
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Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/139236c659c84aef.json which includes the verbatim claim, primary sources, confidence, methodology version, last-verified date, and HMAC-SHA256 signature for audit. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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cURL
curl https://sourcescore.org/api/v1/claims/139236c659c84aef.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/139236c659c84aef.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/139236c659c84aef.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_neural_turing_machine_fact() -> dict:
"""Fetch the verified SourceScore claim for Neural Turing Machine."""
r = httpx.get("https://sourcescore.org/api/v1/claims/139236c659c84aef.json")
return r.json()