Verified claim · AI-ML · 100% confidence
tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 70db729b5808e22c
SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.
Structured fields
- Subject
- tiktoken
- Predicate
publicly_released_on- Object
- 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models
- Confidence
- 100%
- Tags
- tiktoken · openai · bpe · tokenizer · open-source · released_on · 2022
Sources (2)
[1] github release · OpenAI · 2022-12-06
tiktoken — official GitHub repository“tiktoken is a fast BPE tokeniser for use with OpenAI's models.”
OpenAI is rated by SourceScore — see its reliability →[2] docs · PyPI (OpenAI) · 2022-12-06
tiktoken — fast BPE tokeniser for OpenAI models
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Ready-to-paste citation (Markdown / plain text):
tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models. — SourceScore Claim 70db729b5808e22c (verified 2026-05-16). https://sourcescore.org/api/v1/claims/70db729b5808e22c.jsonEmbed this claim
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<iframe src="https://sourcescore.org/embed/claim/70db729b5808e22c/" width="100%" height="360" frameborder="0" loading="lazy" title="tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models."></iframe>Preview: open in new tab
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Frequently asked questions
Is the claim "tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models." verified?
Yes — SourceScore verified this claim with 100% confidence as of 2026-05-16. 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 "tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models."?
Evidence comes from 2 primary sources: OpenAI, PyPI (OpenAI). Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/70db729b5808e22c.json includes an HMAC-SHA256 signature for audit verification.
When was this claim last verified by SourceScore?
Last verified 2026-05-16 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.
How can I cite this SourceScore claim in my code or article?
Fetch the signed JSON envelope from https://sourcescore.org/api/v1/claims/70db729b5808e22c.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.
Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/70db729b5808e22c.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/70db729b5808e22c.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/70db729b5808e22c.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "tiktoken publicly released on: 2022-12-06 by OpenAI — BPE tokenizer for OpenAI models."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_tiktoken_fact() -> dict:
"""Fetch the verified SourceScore claim for tiktoken."""
r = httpx.get("https://sourcescore.org/api/v1/claims/70db729b5808e22c.json")
return r.json()