SourceScore

Verified claim · AI-ML · 100% confidence

DeepSeek-R1 released on: 2025-01-20 with reasoning chain-of-thought capabilities.

Last verified 2026-05-16 · Methodology veritas-v0.1 · c6660e2e910f2680

Structured fields

Subject
DeepSeek-R1
Predicate
released_on
Object
2025-01-20 with reasoning chain-of-thought capabilities
Confidence
100%
Tags
deepseek-r1 · deepseek · reasoning · reinforcement-learning · chain-of-thought · 2025 · released_on

Sources (2)

  1. [1] preprint · arXiv (DeepSeek-AI) · 2025-01-22

    DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
    We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities.
  2. [2] official blog · DeepSeek · 2025-01-20

    DeepSeek-R1 Release

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DeepSeek-R1 released on: 2025-01-20 with reasoning chain-of-thought capabilities. — SourceScore Claim c6660e2e910f2680 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/c6660e2e910f2680.json

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Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/c6660e2e910f2680.json") envelope = r.json() print(envelope["claim"]["statement"]) # "DeepSeek-R1 released on: 2025-01-20 with reasoning chain-of-thought capabilities."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_deepseek_r1_fact() -> dict: """Fetch the verified SourceScore claim for DeepSeek-R1.""" r = httpx.get("https://sourcescore.org/api/v1/claims/c6660e2e910f2680.json") return r.json()