Pith Number
pith:Y6QSJDTC
pith:2017:Y6QSJDTCGEQETS4RNPKKBGV5ED
not attested
not anchored
not stored
refs pending
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
arxiv:1703.07015 v3 · 2017-03-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y6QSJDTCGEQETS4RNPKKBGV5ED}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:18:05.381242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7a1248e62312049cb916bd4a09abd20f033337a3899012bd910dc8daad4031c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y6QSJDTCGEQETS4RNPKKBGV5ED \
| 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: c7a1248e62312049cb916bd4a09abd20f033337a3899012bd910dc8daad4031c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f57e1fec87977b6ff3934181b67594a1dfdd5a022a0e4fbcacb8c7387fc9eb19",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-03-21T00:33:36Z",
"title_canon_sha256": "a761f966521b2111ea6bdd0f162dbefa1acdd1515e1d58135f9b890824ac5199"
},
"schema_version": "1.0",
"source": {
"id": "1703.07015",
"kind": "arxiv",
"version": 3
}
}