Pith Number
pith:D5ZOB3YR
pith:2017:D5ZOB3YR3XPIV37XLJAM5LDVM3
not attested
not anchored
not stored
refs pending
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning
arxiv:1708.01372 v1 · 2017-08-04 · cs.CL · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D5ZOB3YR3XPIV37XLJAM5LDVM3}
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 | 2026-05-18T00:38:37.568234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f72e0ef11ddde8aeff75a40ceac7566f85dafcadbaf63110f10d34291446c5a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D5ZOB3YR3XPIV37XLJAM5LDVM3 \
| 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: 1f72e0ef11ddde8aeff75a40ceac7566f85dafcadbaf63110f10d34291446c5a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "251ee09f6abc58cebc6f39428b8477e03298f6a36d45d267897198715a5c0f03",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-08-04T03:47:35Z",
"title_canon_sha256": "c181a624f2bf10c21840cbd426a6da66b686699a65e023b1c87f2e0e84541d5c"
},
"schema_version": "1.0",
"source": {
"id": "1708.01372",
"kind": "arxiv",
"version": 1
}
}