Pith Number
pith:T7KQX7JG
pith:2019:T7KQX7JGJ3ZRCECGU23N6DAZUW
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refs pending
Multiphase flow prediction with deep neural networks
arxiv:1910.09657 v1 · 2019-10-21 · cs.LG · physics.comp-ph · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T7KQX7JGJ3ZRCECGU23N6DAZUW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:22:21.288111Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9fd50bfd264ef3111046a6b6df0c19a59ddd827be6e832a38df275fad441fc33
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T7KQX7JGJ3ZRCECGU23N6DAZUW \
| 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: 9fd50bfd264ef3111046a6b6df0c19a59ddd827be6e832a38df275fad441fc33
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b8e1c29351d61d07d2ea1ce55ad8cb3608a465a1e8baa011f0cba9f37039ae40",
"cross_cats_sorted": [
"physics.comp-ph",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-10-21T21:06:55Z",
"title_canon_sha256": "c0c46d605ee7eb84449bcab144fd0b67fcaba418159646136d2e1e789f5a8e6e"
},
"schema_version": "1.0",
"source": {
"id": "1910.09657",
"kind": "arxiv",
"version": 1
}
}