Verified claim · AI-ML · 82% confidence
Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017).
Last verified 2026-06-02 · Methodology veritas-v0.1 · 85830e585d195157
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Structured fields
- Subject
- Capsule Networks
- Predicate
introduced_in_paper- Object
- Dynamic Routing Between Capsules (Sabour et al., 2017)
- Confidence
- 82%
- Tags
- capsule-networks · capsnet · dynamic-routing · sabour · hinton · foundational · 2017
Sources (2)
[1] preprint · arXiv (Sara Sabour, Nicholas Frosst, Geoffrey E Hinton) · 2017-10-26
Dynamic Routing Between Capsules“A capsule is a group of neurons whose activity vector represents the instantiation parameters of a specific type of entity such as an object or an object part. We use the length of the activity vector to represent the probability that the entity exists and its orientation to represent the instantiation parameters.”
[2] docs · Hugging Face
Dynamic Routing Between Capsules (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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Evidence comes from 2 primary sources: arXiv (Sara Sabour, Nicholas Frosst, Geoffrey E Hinton), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/85830e585d195157.json includes an HMAC-SHA256 signature for audit verification.
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// "Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017)."Python
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# "Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_capsule_networks_fact() -> dict:
"""Fetch the verified SourceScore claim for Capsule Networks."""
r = httpx.get("https://sourcescore.org/api/v1/claims/85830e585d195157.json")
return r.json()