Pith Number
pith:TB4CG62D
pith:2020:TB4CG62DKQIOLOPZY4IX4T7O62
not attested
not anchored
not stored
refs pending
Text Similarity Using Word Embeddings to Classify Misinformation
arxiv:2003.06634 v1 · 2020-03-14 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TB4CG62DKQIOLOPZY4IX4T7O62}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T00:48:05.163325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9878237b435410e5b9f9c7117e4feef687ec6d29b42f674ccc46eb039b6e8fb9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TB4CG62DKQIOLOPZY4IX4T7O62 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 9878237b435410e5b9f9c7117e4feef687ec6d29b42f674ccc46eb039b6e8fb9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9f0c74798c481c0de7008844c79d03f129a1001cbfa8c593914f928ca7b8cc26",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-03-14T14:02:27Z",
"title_canon_sha256": "40b0aca9d3e03a78fe234be06300b69ed798a7aa3393739ccd55e0d165b76a11"
},
"schema_version": "1.0",
"source": {
"id": "2003.06634",
"kind": "arxiv",
"version": 1
}
}