Pith Number
pith:3ME6JRRS
pith:2017:3ME6JRRSYN734AD3PAKQH4AFP4
not attested
not anchored
not stored
refs pending
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
arxiv:1703.08524 v1 · 2017-03-24 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3ME6JRRSYN734AD3PAKQH4AFP4}
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 | 2026-05-18T00:47:59.756299Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db09e4c632c37fbe007b781503f0057f0fdfdc2b7769d4b2d3909ab95efe52a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ME6JRRSYN734AD3PAKQH4AFP4 \
| 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: db09e4c632c37fbe007b781503f0057f0fdfdc2b7769d4b2d3909ab95efe52a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4fe2d4fa2b7ac35eb5738ac31ad79cda65d4d4715efcda5c3b52fe72cf19d585",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-03-24T17:29:14Z",
"title_canon_sha256": "f0a9cacfdf5e25143ed8ee2df6405ee2e96ca2fe2112693a2cc3b9e65ae22adb"
},
"schema_version": "1.0",
"source": {
"id": "1703.08524",
"kind": "arxiv",
"version": 1
}
}