Pith Number
pith:KF2VVGCL
pith:2021:KF2VVGCLCADPU57C5NQZA2KAP7
not attested
not anchored
not stored
refs pending
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
arxiv:2103.02578 v1 · 2021-03-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KF2VVGCLCADPU57C5NQZA2KAP7}
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 | 2026-07-05T02:20:10.818227Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51755a984b1006fa77e2eb619069407fd480829a4af7e2be520311a1c70fb9eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KF2VVGCLCADPU57C5NQZA2KAP7 \
| 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: 51755a984b1006fa77e2eb619069407fd480829a4af7e2be520311a1c70fb9eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd079a23a059b0e8725323ecfff6979b7bf4f41b4bd13d49e26e3866094a5fa3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-03-03T18:21:49Z",
"title_canon_sha256": "4159a280a84bebe980800e78569a9258b14f031858ab3cb1f37be30824395634"
},
"schema_version": "1.0",
"source": {
"id": "2103.02578",
"kind": "arxiv",
"version": 1
}
}