Pith Number
pith:TJPLCHYM
pith:2019:TJPLCHYMA6BFPGBVHXMOFEPJOR
not attested
not anchored
not stored
refs pending
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
arxiv:1903.11748 v1 · 2019-03-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TJPLCHYMA6BFPGBVHXMOFEPJOR}
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
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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 | 2026-05-17T23:50:01.876153Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a5eb11f0c07825798353dd8e291e97467688cfb084847a07a3bb909d7927b51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TJPLCHYMA6BFPGBVHXMOFEPJOR \
| 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: 9a5eb11f0c07825798353dd8e291e97467688cfb084847a07a3bb909d7927b51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db02b4cc1a0b21bb60448d52a223b972bbabd0ffef90c100c7292c6e3f1702d6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-28T01:14:31Z",
"title_canon_sha256": "0449a5147c117739e82908d097a76bf70ae99aa6f74e76b58c6507831ebb2b77"
},
"schema_version": "1.0",
"source": {
"id": "1903.11748",
"kind": "arxiv",
"version": 1
}
}