Pith Number
pith:MAWDFT2F
pith:2019:MAWDFT2FE3LS6B4RBFHIKHJOFS
not attested
not anchored
not stored
refs pending
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
arxiv:1909.07940 v2 · 2019-09-17 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MAWDFT2FE3LS6B4RBFHIKHJOFS}
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 | 2026-07-05T00:05:26.038493Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
602c32cf4526d72f0791094e851d2e2caa3f02416831db9fdc0850c533600a1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MAWDFT2FE3LS6B4RBFHIKHJOFS \
| 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: 602c32cf4526d72f0791094e851d2e2caa3f02416831db9fdc0850c533600a1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fbcbf620b0e84a287368e6dcf50eaf7d18411e5ccff6352040e82dcf92fa5ea8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-09-17T17:24:37Z",
"title_canon_sha256": "e3032d3291db482e8fbbce25352e0eed7c197857daf9f5fd5dc078e1800a2477"
},
"schema_version": "1.0",
"source": {
"id": "1909.07940",
"kind": "arxiv",
"version": 2
}
}