Pith Number
pith:YPHAHDBE
pith:2017:YPHAHDBET34FRGRUJNTPZIJQXT
not attested
not anchored
not stored
refs pending
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow
arxiv:1705.07117 v1 · 2017-05-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPHAHDBET34FRGRUJNTPZIJQXT}
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 | 2026-05-18T00:44:06.499974Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3ce038c249ef8589a344b66fca130bcf5c02a075bba1ad7b6a33ded689aac5e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPHAHDBET34FRGRUJNTPZIJQXT \
| 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: c3ce038c249ef8589a344b66fca130bcf5c02a075bba1ad7b6a33ded689aac5e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b24a879dcd8b53a8c41d0675a4cc69b5194462b336cd83d59f19ad9cb12e58ec",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-05-19T03:11:30Z",
"title_canon_sha256": "5c380f7e4652eb5c91d630d40bed352887fe80ec2c6a9c215904d6014c13ec52"
},
"schema_version": "1.0",
"source": {
"id": "1705.07117",
"kind": "arxiv",
"version": 1
}
}