Pith Number
pith:FNAL4YGI
pith:2017:FNAL4YGIDM5O3GRGSQPIQN2XVJ
not attested
not anchored
not stored
refs pending
TimeNet: Pre-trained deep recurrent neural network for time series classification
arxiv:1706.08838 v1 · 2017-06-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FNAL4YGIDM5O3GRGSQPIQN2XVJ}
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 | 2026-05-18T00:41:30.870925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b40be60c81b3aed9a26941e883757aa6230382e38901205d3fe76b09e36b0cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNAL4YGIDM5O3GRGSQPIQN2XVJ \
| 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: 2b40be60c81b3aed9a26941e883757aa6230382e38901205d3fe76b09e36b0cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc1af4bd3219841c58c3ee3e0c49ef5659cb2bd83111cb29d074a19703ef05ac",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-06-23T19:06:13Z",
"title_canon_sha256": "93455df5fd1fff78a7d7d7e6f52b019fd28bc8ec2b0c197d1792da7a36fa1af0"
},
"schema_version": "1.0",
"source": {
"id": "1706.08838",
"kind": "arxiv",
"version": 1
}
}