Pith Number
pith:BR5G4AHA
pith:2019:BR5G4AHA7IXCGN43OPG26IHGYR
not attested
not anchored
not stored
refs pending
Is artificial data useful for biomedical Natural Language Processing algorithms?
arxiv:1907.01055 v2 · 2019-07-01 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BR5G4AHA7IXCGN43OPG26IHGYR}
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.
Receipt and verification
| First computed | 2026-07-04T23:52:21.890879Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c7a6e00e0fa2e23379b73cdaf20e6c4697a6dfe8ba7eacecd1e8fe25b2dec4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BR5G4AHA7IXCGN43OPG26IHGYR \
| 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: 0c7a6e00e0fa2e23379b73cdaf20e6c4697a6dfe8ba7eacecd1e8fe25b2dec4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d1bbad69eff370a14fe6049aed97cda77f82a80fce3af98000a0675c9b9d130",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-07-01T20:17:59Z",
"title_canon_sha256": "fe32148b310712115c20bc02fa7ea4e71af6e491c4faee978bc14bade8cede2f"
},
"schema_version": "1.0",
"source": {
"id": "1907.01055",
"kind": "arxiv",
"version": 2
}
}