Pith Number
pith:UFNLAAWD
pith:2019:UFNLAAWDDP2EQFCV5JVOYK66EP
not attested
not anchored
not stored
refs pending
What do you learn from context? Probing for sentence structure in contextualized word representations
arxiv:1905.06316 v1 · 2019-05-15 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UFNLAAWDDP2EQFCV5JVOYK66EP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:46:06.863697Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a15ab002c31bf4481455ea6aec2bde23e7835b32b7eccc8d1f7c9da9364378a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UFNLAAWDDP2EQFCV5JVOYK66EP \
| 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: a15ab002c31bf4481455ea6aec2bde23e7835b32b7eccc8d1f7c9da9364378a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5823d090569c65796a1bbd1e30c5f1702c7f31b1d057e24e318be6ba2358a901",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-05-15T17:48:56Z",
"title_canon_sha256": "e3dc84bf611ef46d0bbfebe0163fa3fac0c053cc5bc73932f4e14e1cf06c006d"
},
"schema_version": "1.0",
"source": {
"id": "1905.06316",
"kind": "arxiv",
"version": 1
}
}