Pith Number
pith:2X5TSWGG
pith:2016:2X5TSWGGGMFEDUOR5FPGHINAUV
not attested
not anchored
not stored
refs pending
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
arxiv:1612.01022 v1 · 2016-12-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2X5TSWGGGMFEDUOR5FPGHINAUV}
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 | 2026-05-18T00:55:53.571601Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d5fb3958c6330a41d1d1e95e63a1a0a56e0c9b8c469d959d82166a0df2a1cfb1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2X5TSWGGGMFEDUOR5FPGHINAUV \
| 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: d5fb3958c6330a41d1d1e95e63a1a0a56e0c9b8c469d959d82166a0df2a1cfb1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7475433870a2a7c45530676eecd982816add8f7332121c2208e2b4f905e85b4d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-12-03T21:30:26Z",
"title_canon_sha256": "bf86e7f163c1154d9c4f22fcb4ae559b4efa60027da6372c15916f79163814e0"
},
"schema_version": "1.0",
"source": {
"id": "1612.01022",
"kind": "arxiv",
"version": 1
}
}