Pith Number
pith:7SVNPVCU
pith:2017:7SVNPVCU7IEI6XV27WQDVV667I
not attested
not anchored
not stored
refs pending
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
arxiv:1701.03918 v1 · 2017-01-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7SVNPVCU7IEI6XV27WQDVV667I}
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 | 2026-05-18T00:51:01.946644Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fcaad7d454fa088f5ebafda03ad7defa05d97dd64e52ae854ef836601bfc1481
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7SVNPVCU7IEI6XV27WQDVV667I \
| 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: fcaad7d454fa088f5ebafda03ad7defa05d97dd64e52ae854ef836601bfc1481
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37e0081df648b90e8671ec1a90a37c87b1440ddda4c434bf3cceefcf8f118bd4",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-01-14T13:26:39Z",
"title_canon_sha256": "af64ec71ec1d5d7d5cb5e65bcb5cbdbec4a2e148347fc1a2eabde9faa7c36ed4"
},
"schema_version": "1.0",
"source": {
"id": "1701.03918",
"kind": "arxiv",
"version": 1
}
}